{"type": "FeatureCollection", "features": [{"id": "10.1186/s12302-025-01141-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:20:04Z", "type": "Journal Article", "created": "2025-06-15", "title": "Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments", "description": "Abstract                        Background             <p>Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.</p>                                   Results             <p>The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.</p>                                   Conclusions             <p>The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.</p>", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1186/s12302-025-01141-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s12302-025-01141-6", "name": "item", "description": "10.1186/s12302-025-01141-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s12302-025-01141-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.5281/zenodo.15680931", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:04Z", "type": "Journal Article", "created": "2025-06-15", "title": "Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments", "description": "Abstract                        Background             <p>Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.</p>                                   Results             <p>The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.</p>                                   Conclusions             <p>The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.</p>", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1186/s12302-025-01141-6.pdf"}, {"href": "https://doi.org/10.5281/zenodo.15680931"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15680931", "name": "item", "description": "10.5281/zenodo.15680931", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15680931"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.1016/j.agee.2004.05.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:15:38Z", "type": "Journal Article", "created": "2004-12-15", "title": "Effectiveness Of Buffer Strips In Removing Pollutants In Runoff From A Cultivated Field In North-East Italy", "description": "Abstract   Buffer strips are an efficient and economical way to reduce agricultural nonpoint source pollution. Local researches are necessary to gain information on buffer performance, with particular emphasis on narrow buffers. The effect of a 6\u00a0m buffer strip (BS) in reducing runoff, suspended solids and nutrients from a field growing maize, winter wheat and soybean was assessed in a field experiment conducted in North-East Italy during 1998\u20132001. The BS was composed of two rows of regularly alternating trees (Platanus hybrida Brot.) and shrubs (Viburnum opulus L.), with grass (Festuca arundinacea L.) in the inter-rows.  The BS reduced total runoff by 78% compared to no-BS, in which cumulative runoff depth was 231\u00a0mm over 4 years. With no-BS runoff appeared to be influenced mostly by total rainfall, while with BS maximum rainfall intensity was more important. The filtering effect of the BS reduced total suspended solids (TSS), particularly after the second year, when the median yearly concentrations ranged from 0.28 to 0.99\u00a0mg\u00a0L\u22121 and were smaller than 0.14\u00a0mg\u00a0L\u22121, with no-BS and with BS respectively. The combination of lower concentrations and runoff volumes significantly reduced TSS losses from 6.9 to 0.4\u00a0t\u00a0ha\u22121 over the entire period.  A tendency to increased concentrations of all forms of N (total, nitrate and ammonium) while passing through the BS was observed, but total N losses were reduced from 17.3 to 4.5\u00a0kg\u00a0ha\u22121 in terms of mass balance. On the contrary, P concentrations were unmodified (soluble P), or lowered (total P) by the BS, reducing total losses by about 80%. The effect on total P, composed mainly of sediment-bound forms, was related to particulate settling when passing through the BS.  A numerical index (Eutrophic Load Index), integrating water quality and runoff volumes, was created to evaluate the eutrophication risk of runoff with or without the BS. It showed that the BS effect was mostly due to a reduction of runoff volumes rather than improving the overall water quality.", "keywords": ["2. Zero hunger", "13. Climate action", "14. Life underwater", "Water pollution; Nitrogen; Phosphorus; Total suspended solids; Buffer strip", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2004.05.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2004.05.011", "name": "item", "description": "10.1016/j.agee.2004.05.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2004.05.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-01-01T00:00:00Z"}}, {"id": "10.1002/ps.4546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:14:28Z", "type": "Journal Article", "created": "2017-02-03", "title": "Behaviour Of Bentazon As Influenced By Water And Tillage Management In Rice-Growing Conditions", "description": "Abstract<p>Bentazon is a widely used herbicide in rice agroecosystems that has commonly been found in water resources. To assess how tillage and water regimes affect sorption/desorption, dissipation and leaching of bentazon in Mediterranean rice\uffe2\uff80\uff90growing conditions, field experiments were carried out using tillage and flooding (TF), tillage and sprinkler irrigation (TS), no\uffe2\uff80\uff90tillage and sprinkler irrigation (NTS) and long\uffe2\uff80\uff90term no\uffe2\uff80\uff90tillage and sprinkler irrigation (NTS7). After 3 years, the Kd values in TS were 2.3, 1.6 and 1.7 times lower than the values in NTS7, NTS and TF respectively. Greater sorption of bentazon was related to higher contents in total organic carbon and, although to a lesser extent, in humic acids and dissolved organic carbon. The persistence of bentazon was significantly greater under anaerobic (half\uffe2\uff80\uff90life DT50 = 94.1\uffe2\uff80\uff93135 days) than under aerobic (DT50 = 42.4\uffe2\uff80\uff9391.3\uffe2\uff80\uff89days) incubation conditions for all management regimes. Leaching losses of bentazon were reduced from 78 and 74% in TS and TF to 61 and 62% in NTS7 and NTS respectively. The mid\uffe2\uff80\uff90 and long\uffe2\uff80\uff90term implementation of sprinkler irrigation in combination with no\uffe2\uff80\uff90tillage could be considered a management system that is effective at reducing water contamination by bentazon in Mediterranean rice\uffe2\uff80\uff90growing agroecosystems. \uffc2\uffa9 2017 Society of Chemical Industry</p>", "keywords": ["2. Zero hunger", "0106 biological sciences", "Agricultural Irrigation", "3103", "Herbicides", "Water Pollution", "Bentazona", "Oryza", "04 agricultural and veterinary sciences", "15. Life on land", "Benzothiadiazines", "01 natural sciences", "6. Clean water", "Crop Production", "Bentazon", "Sorption", "Sorci\u00f3n", "0401 agriculture", " forestry", " and fisheries", "Laboreo", "Water Pollutants", " Chemical", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1002/ps.4546"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Pest%20Management%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ps.4546", "name": "item", "description": "10.1002/ps.4546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ps.4546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-17T00:00:00Z"}}, {"id": "10.1007/s10661-018-6700-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:15:04Z", "type": "Journal Article", "created": "2018-05-06", "title": "Improving nitrate load estimates in an agricultural catchment using Event Response Reconstruction", "description": "Low-frequency grab sampling cannot capture fine dynamics of stream solute concentrations, which results in large uncertainties in load estimates. The recent development of high-frequency sensors has enabled monitoring solute concentrations at sub-hourly time scales. This study aimed to improve nitrate (NO3) load estimates using high-resolution records (15-min time interval) from optical sensors to capture the typical concentration response to storm events. An empirical model was developed to reconstruct NO3 concentrations during storm events in a 100-km2 agricultural catchment in Germany. Two years (Jan 2002 to Dec 2002 and Oct 2005 to Sep 2006) of high-frequency measurements of NO3 concentrations, discharge and precipitation were used. An Event Response Reconstruction (ERR) model was developed using NO3 concentration descriptor variables and predictor variables calculated from discharge and precipitation records. Fourteen events were used for calibration, and 27 events from four periods of continuous records of high-frequency measurement were used for validation. During all selected storm events, NO3 concentration decreased during flow rise and increased during the recession phase of the hydrograph. Three storm descriptor variables were used to describe these dynamics: relative change in concentration between initial and minimum NO3 concentrations (rdN), time to maximum change in NO3 concentration (TdN) and time to 50% recovery of NO3 concentration (TN rec ). The ERR consisted of building linear models of discharge and precipitation to predict these three descriptors. The ERR approach greatly improved NO3 load estimates compared to linear interpolation of grab sampling data (error decreased from 10 to 1%) or flow-weighted estimation of load (error is 7%). This study demonstrated that ERR based on a few months of high-resolution data enables accurate load estimates from low-frequency NO3 data.", "keywords": ["Nitrates", "Rivers", "13. Climate action", "Germany", "0208 environmental biotechnology", "Water Pollution", " Chemical", "0207 environmental engineering", "Agriculture", "Nitrogen Oxides", "02 engineering and technology", "Water Pollutants", " Chemical", "6. Clean water", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1007/s10661-018-6700-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Monitoring%20and%20Assessment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10661-018-6700-9", "name": "item", "description": "10.1007/s10661-018-6700-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10661-018-6700-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-07T00:00:00Z"}}, {"id": "10.1016/J.JENVMAN.2019.04.120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:15:36Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/10.1016/J.JENVMAN.2019.04.120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/J.JENVMAN.2019.04.120", "name": "item", "description": "10.1016/J.JENVMAN.2019.04.120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/J.JENVMAN.2019.04.120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1016/j.heliyon.2019.e02288", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:50Z", "type": "Journal Article", "created": "2019-08-14", "title": "Defluoridation of water through the transformation of octacalcium phosphate into fluorapatite", "description": "The consumption of water with fluoride concentration higher than 1.5 mg/L (WHO recommended limit) is recognized to cause serious diseases, and fluoride removal from natural contaminated waters is a health priority for more than 260 million people worldwide. The octacalcium phosphate (OCP), a mineralogical precursor of bio-apatite, is here tested as a fluoride remover. A new two-step method for the synthesis of OCP is proposed: 1) synthesis of brushite from calcium carbonate and phosphoric acid; 2) subsequent hydrolysis of brushite. Fluoride removal experiments are performed in batch-mode using different initial concentrations of fluoride (from 40 to 140 mg/L) and reaction times. Most of fluoride is removed within the first 2 h of all experiments, and the drinkable limit of 1.5 mg/L is reached within a minimum of 3 h for an initial fluoride concentration of 40 mg/L. The experimental fluoride removal capacity of OCP is 25.7 mg/g, and 4 g of OCP can effectively treat 1 L of water with fluoride concentration up to 50 times higher than the drinking limit of 1.5 mg/L. XRD and chemical characterization of the solid phases, before and after the removal experiments, indicate that OCP transforms into fluorapatite (FAP) uptaking fluoride from solution.", "keywords": ["H1-99", "Science (General)", "02 engineering and technology", "01 natural sciences", "Dissolved fluoride removal;Earth sciences; Environmental geochemistry; Environmental pollution; Environmental science; Materials science; Materials synthesis; OCP synthesis; OCP-FAP transformation; Water defluoridation method; Water pollution; Water quality", "Materials science", "Environmental science", "Environmental pollution", "Article", "6. Clean water", "Social sciences (General)", "Q1-390", "Water pollution", "Environmental geochemistry", "Materials synthesis", "0210 nano-technology", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unica.it/bitstream/11584/276011/1/Heliyon%202019.pdf"}, {"href": "https://doi.org/10.1016/j.heliyon.2019.e02288"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Heliyon", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.heliyon.2019.e02288", "name": "item", "description": "10.1016/j.heliyon.2019.e02288", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.heliyon.2019.e02288"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2012.01.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:56Z", "type": "Journal Article", "created": "2012-01-31", "title": "Nitrate-Nitrogen Reduction By Established Tree And Pasture Buffer Strips Associated With A Cattle Feedlot Effluent Disposal Area Near Armidale, Nsw Australia", "description": "Vegetated buffer strips have been recognized as an important element in overall agro-ecosystem management to reduce the delivery of non-point source pollutants from agricultural land to inland water systems. A buffer strip experiment consisting of two tree species (Eucalyptus camaldulensis and Casuarina cunninghamiana) with two planting densities and a pasture treatment was conducted to determine the effectiveness of NO(3)-N removal from a cattle feedlot effluent disposal area at Tullimba near Armidale, NSW Australia. Different management methods were applied for the buffers where grass and weeds were mowed 2-3 times during the second and third years and were not managed during the rest experimental years for the tree buffer, while grass was harvested 1-3 times per year for the pasture buffer. The differences between tree species and planting density significantly affected tree growth, but the growth difference did not significantly affect their capacities to reduce NO(3)-N in soil surface runoff and groundwater. On average for all the tree and pasture treatments, the buffer strips reduced NO(3)-N concentration by 8.5%, 14.7% and 14.4% for the surface runoff, shallow and deep groundwater respectively. The tree and pasture buffer strips were not significantly different in NO(3)-N reduction for both shallow and deep groundwater while the pasture buffer strips reduced significantly more NO(3)-N concentration in surface runoff than the tree buffer strips. Both buffer strips reduced more than 50% of surface runoff volume indicating that both the tree and pasture buffer strips were efficient at removing water and nutrients, mostly through a significant reduction in soil surface runoff volume.", "keywords": ["Eucalyptus", "Nitrates", "Nitrogen", "Water Pollution", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "Trees", "Manure", "Biodegradation", " Environmental", "Waste Management", "Animals", "0401 agriculture", " forestry", " and fisheries", "Cattle", "New South Wales", "0105 earth and related environmental sciences"], "contacts": [{"organization": "John Duggin, Liangmin Wang, Daoping Nie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.jenvman.2012.01.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2012.01.008", "name": "item", "description": "10.1016/j.jenvman.2012.01.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2012.01.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-05-01T00:00:00Z"}}, {"id": "10.1016/j.jhazmat.2009.05.074", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:58Z", "type": "Journal Article", "created": "2009-05-23", "title": "Enrichment Of Marsh Soils With Heavy Metals By Effect Of Anthropic Pollution", "description": "The impact of waste disposal on marsh soils was assessed in topsoil samples collected at eight randomly selected points in the salt marsh in Ramallosa (Pontevedra, Spain) at 4-month intervals for 2 years. Polluted soil samples were characterized in physico-chemical terms and their heavy metal contents determined by comparison with control, unpolluted samples. The results revealed a marked effect of waste discharges on the soils in the area, which have low contents in heavy metals under normal environmental conditions. In fact, the studied soils were found to contain substantial amounts of total and DTPA-extractable Cd, Cu, Pb and Zn. Based on the relationship of the redox potential with the DTPA-extractable Cd, Cu, Pb, and Zn contents of the soils, strongly reductive conditions raised the total contents in these elements by effect of their remaining in the soils as precipitated sulphides. Such contents, however, decreased as oxidative conditions gradually prevailed. The contents in DTPA-extractable metals increased with increasing Eh through the release of the metals in ionic form to the soil solution under oxidative conditions. The contents in heavy metals concentrating in the polluted soils were several times higher than those in the control soils (viz. 2 vs. 6 for Cd, 4 vs. 6 for Cu, 4 vs. 20 for Pb, and 2 vs. 15 for Zn, all in mgkg(-1)). This can be expected to influence the amounts of available heavy metals present in the soils, and hence the environmental quality of the area, in the near future. Based on its geoaccumulation index (Class >/=3 for Cd and Cu, and 1-4 for Pb and Zn), the Ramallosa marsh is highly polluted with Cd and moderately to highly polluted with Cu, Pb and Zn. The enrichment factors obtained confirm that the salt marsh is highly polluted (especially with Cd) as the primary result of anthropic activity.", "keywords": ["Industrial Waste", "Reproducibility of Results", "Agriculture", "Pentetic Acid", "15. Life on land", "Waste Disposal", " Fluid", "01 natural sciences", "6. Clean water", "Ion Exchange", "13. Climate action", "Metals", " Heavy", "Wetlands", "Linear Models", "Potentiometry", "Water Pollution", " Chemical", "Soil Pollutants", "Oxidation-Reduction", "Algorithms", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.jhazmat.2009.05.074"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hazardous%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhazmat.2009.05.074", "name": "item", "description": "10.1016/j.jhazmat.2009.05.074", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhazmat.2009.05.074"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-10-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2019.04.120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:57Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/10.1016/j.jenvman.2019.04.120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2019.04.120", "name": "item", "description": "10.1016/j.jenvman.2019.04.120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2019.04.120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1016/j.jhazmat.2024.134885", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:59Z", "type": "Journal Article", "created": "2024-06-12", "title": "Anthropogenic pollution may enhance natural transformation in water, favouring the spread of antibiotic resistance genes", "description": "Aquatic ecosystems are crucial in the antimicrobial resistance cycle. While intracellular DNA has been extensively studied to understand human activity's impact on antimicrobial resistance gene (ARG) dissemination, extracellular DNA is frequently overlooked. This study examines the effect of anthropogenic water pollution on microbial community diversity, the resistome, and ARG dissemination. We analyzed intracellular and extracellular DNA from wastewater treatment plant effluents and lake surface water by shotgun sequencing. We also conducted experiments to evaluate anthropogenic pollution's effect on transforming extracellular DNA (using Gfp-plasmids carrying ARGs) within a natural microbial community. Chemical analysis showed treated wastewater had higher anthropogenic pollution-related parameters than lake water. The richness of microbial community, antimicrobial resistome, and high-risk ARGs was greater in treated wastewaters than in lake waters both for intracellular and extracellular DNA. Except for the high-risk ARGs, richness was significantly higher in intracellular than in extracellular DNA. Several ARGs were associated with mobile genetic elements and located on plasmids. Furthermore, Gfp-plasmid transformation within a natural microbial community was enhanced by anthropogenic pollution levels. Our findings underscore anthropogenic pollution's pivotal role in shaping microbial communities and their antimicrobial resistome. Additionally, it may facilitate ARG dissemination through extracellular DNA plasmid uptake.", "keywords": ["Bacteria", "Antibiotic resistance", "Microbiota", "Water Pollution", "Metagenome assembled genomes", "Drug Resistance", " Microbial", "Horizontal gene transfer", "Wastewater", "extracellular DNA; antibiotic resistance; metagenome assembled genomes; transformation; horizontal gene transfer", "Transformation", "Anti-Bacterial Agents", "Lakes", "Extracellular DNA", "Genes", " Bacterial", "Drug Resistance", " Bacterial", "Water Microbiology", "Plasmids"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/1115155/2/Sivalingam%20et%20al%202024.pdf"}, {"href": "https://doi.org/10.1016/j.jhazmat.2024.134885"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hazardous%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhazmat.2024.134885", "name": "item", "description": "10.1016/j.jhazmat.2024.134885", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhazmat.2024.134885"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-01T00:00:00Z"}}, {"id": "10.1371/journal.pone.0303745", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:20:16Z", "type": "Journal Article", "created": "2024-05-23", "title": "Navigating agricultural nonpoint source pollution governance: A social network analysis of best management practices in central Pennsylvania", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The Chesapeake Bay watershed is representative of governance challenges relating to agricultural nonpoint source pollution and, more generally, of sustainable resources governance in complex multi-actor settings. We assess information flows around Best Management Practices (BMPs) undertaken by dairy farmers in central Pennsylvania, a subregion of the watershed. We apply a mixed-method approach, combining Social Network Analysis, the analysis of BMP-messaging (i.e. information source, flow, and their influences), and qualitative content analysis of stakeholders\u2019 interviews. Key strategic actors were identified through network centrality measures such as degree of node, betweenness centrality, and clustering coefficient. The perceived influence/credibility (by farmers) of BMP-messages and their source, allowed for the identification of strategic entry points for BMP-messages diffusion. Finally, the inductive coding process of stakeholders\u2019 interviews revealed major hindrances and opportunities for BMPs adoption. We demonstrate how improved targeting of policy interventions for BMPs uptake may be achieved, by better distributing entry-points across stakeholders. Our results reveal governance gaps and opportunities, on which we draw to provide insights for better tailored policy interventions. We propose strategies to optimize the coverage of policy mixes and the dissemination of BMP-messages by building on network diversity and actors\u2019 complementarities, and by targeting intervention towards specific BMPs and actors. We suggest that (i) conservation incentives could target supply chain actors as conservation intermediaries; (ii) compliance-control of manure management planning could be conducted by accredited private certifiers; (iii) policy should focus on incentivizing inter-farmers interaction (e.g. farmers\u2019 mobility, training, knowledge-exchange, and engagement in multi-stakeholders collaboration) via financial or non-pecuniary compensation; (iv) collective incentives could help better coordinate conservation efforts at the landscape or (sub-)watershed scale; (v) all relevant stakeholders (including farmers) should be concerted and included in the discussion, proposition, co-design and decision process of policy, in order to take their respective interests and responsibilities into account.</p></article>", "keywords": ["2. Zero hunger", "Conservation of Natural Resources", "Farmers", "Science", "Q", "Water Pollution", "R", "Agriculture", "Pennsylvania", "15. Life on land", "6. Clean water", "12. Responsible consumption", "13. Climate action", "11. Sustainability", "Life Science", "Medicine", "Humans", "Social Network Analysis", "Research Article"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0303745"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0303745", "name": "item", "description": "10.1371/journal.pone.0303745", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0303745"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-23T00:00:00Z"}}, {"id": "10.1371/journal.pone.0198955", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:20:15Z", "type": "Journal Article", "created": "2018-06-21", "title": "Mapping Portuguese Natura 2000 sites in risk of biodiversity change caused by atmospheric nitrogen pollution", "description": "In this paper, we assess and map the risk that atmospheric nitrogen (atN) pollution poses to biodiversity in Natura 2000 sites in mainland Portugal. We first review the ecological impacts of atN pollution on terrestrial ecosystems, focusing on the biodiversity of Natura 2000 sites. These nature protection sites, especially those located within the Mediterranean Basin, are under-characterized regarding the risk posed by atN pollution. We focus on ammonia (NH3) because this N form is mostly associated with agriculture, which co-occurs at or in the immediate vicinity of most areas of conservation interest in Portugal. We produce a risk map integrating NH3 emissions and the susceptibility of Natura 2000 sites to atN pollution, ranking habitat sensitivity to atN pollution using expert knowledge from a panel of Portuguese ecological and habitat experts. Peats, mires, bogs, and similar acidic and oligotrophic habitats within Natura 2000 sites (most located in the northern mountains) were assessed to have the highest relative risk of biodiversity change due to atN pollution, whereas Natura 2000 sites in the Atlantic and Mediterranean climate zone (coastal, tidal, and scrubland habitats) were deemed the least sensitive. Overall, results allowed us to rank all Natura 2000 sites in mainland Portugal in order of evaluated risk posed by atN pollution. The approach is of great relevance for stakeholders in different countries to help prioritize site protection and to define research priorities. This is especially relevant in countries with a lack of expertise to assess the impacts of nitrogen on biodiversity and can represent an important step up from current knowledge in such countries.", "keywords": ["0301 basic medicine", "Conservation of Natural Resources", "Nitrogen", "Science", "air pollution", "01 natural sciences", "03 medical and health sciences", "atmospheric nitrogen pollution", "habitats", "Air Pollution", "11. Sustainability", "pollution", "Natura 2000", "14. Life underwater", "conservation science", "biodiversity", "0105 earth and related environmental sciences", "forests", "water pollution", "Portugal", "Atmosphere", "Q", "R", "Biodiversity", "15. Life on land", "biodiversity change", "13. Climate action", "Medicine", "ecosystems", "Research Article"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0198955"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0198955", "name": "item", "description": "10.1371/journal.pone.0198955", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0198955"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-21T00:00:00Z"}}, {"id": "10.2134/jeq2004.1010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:20:56Z", "type": "Journal Article", "created": "2010-06-14", "description": "ABSTRACT<p>Despite the use of best management practices for nitrogen (N) application rate and timing, significant losses of nitrate nitrogen NO\uffe2\uff88\uff923\uffe2\uff80\uff93N in drainage discharge continue to occur from row crop cropping systems. Our objective was to determine whether a autumn\uffe2\uff80\uff90seeded winter rye (Secale cereale L.) cover crop following corn (Zea mays L.) would reduce NO\uffe2\uff88\uff923\uffe2\uff80\uff93N losses through subsurface tile drainage in a corn\uffe2\uff80\uff93soybean [Glycine max (L.) Merr.] cropping system in the northern Corn Belt (USA) in a moderately well\uffe2\uff80\uff90drained soil. Both phases of the corn\uffe2\uff80\uff93soybean rotation, with and without the winter rye cover crop following corn, were established in 1998 in a Normania clay loam (fine\uffe2\uff80\uff90loamy, mixed, mesic Aquic Haplustoll) soil at Lamberton, MN. Cover cropping did not affect subsequent soybean yield, but reduced drainage discharge, flow\uffe2\uff80\uff90weighted mean nitrate concentration (FWMNC), and NO\uffe2\uff88\uff923\uffe2\uff80\uff93N loss relative to winter fallow, although the magnitude of the effect varied considerably with annual precipitation. Three\uffe2\uff80\uff90year average drainage discharge was lower with a winter rye cover crop than without (p = 0.06). Over three years, subsurface tile\uffe2\uff80\uff90drainage discharge was reduced 11% and NO\uffe2\uff88\uff923\uffe2\uff80\uff93N loss was reduced 13% for a corn\uffe2\uff80\uff93soybean cropping system with a rye cover crop following corn than with no rye cover crop. We estimate that establishment of a winter rye cover crop after corn will be successful in one of four years in southwestern Minnesota. Cover cropping with rye has the potential to be an effective management tool for reducing NO\uffe2\uff88\uff923\uffe2\uff80\uff93N loss from subsurface drainage discharge despite challenges to establishment and spring growth in the north\uffe2\uff80\uff90central USA.</p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "Nitrates", "Glycine max", "Nitrogen", "Rain", "Secale", "Water Pollution", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Zea mays", "01 natural sciences", "United States", "6. Clean water", "Soil", "Water Movements", "0401 agriculture", " forestry", " and fisheries", "Fertilizers"]}, "links": [{"href": "https://doi.org/10.2134/jeq2004.1010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Quality", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2134/jeq2004.1010", "name": "item", "description": "10.2134/jeq2004.1010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2134/jeq2004.1010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-05-01T00:00:00Z"}}, {"id": "10.2134/jeq2006.0547", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:20:57Z", "type": "Journal Article", "created": "2008-01-05", "description": "Abstract<p>Nitrate (NO3) loss from arable systems to surface and groundwater has attracted considerable attention in recent years in Ireland. Little information exists under Irish conditions, which are wet and temperate, on the effects of winter cover crops and different tillage techniques on NO3 leaching. This study investigated the efficacy of such practices in reducing NO3 leaching from a spring barley (Hordeum vulgare L.) system in the Barrow River valley, southeast Ireland. The study compared the effect of two tillage systems (plow\uffe2\uff80\uff90based tillage and noninversion tillage) and two over\uffe2\uff80\uff90winter alternatives (no vegetative cover and a mustard cover crop) on soil solution NO3 concentrations at 90 cm depth over two winter drainage seasons (2003/04 and 2004/05). Soil samples were taken and analyzed for inorganic N. During both years of the study, the use of a mustard cover crop significantly reduced NO3 losses for the plowed and reduced cultivation treatments. Mean soil solution NO3 concentrations were between 38 and 70% lower when a cover crop was used, and total N load lost over the winter was between 18 and 83% lower. Results from this study highlight the importance of drainage volume and winter temperatures on NO3 concentrations in soil solution and overall N load lost. It is suggested that cover crops will be of particular value in reducing NO3 loss in temperate regions with mild winters, where winter N mineralization is important and high winter temperatures favor a long growing season.</p>", "keywords": ["Crops", " Agricultural", "2. Zero hunger", "Nitrates", "Nitrogen", "Rain", "Water Pollution", "Temperature", "Water", "Agriculture", "Hordeum", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "Soil", "13. Climate action", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Ireland", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.2134/jeq2006.0547"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Quality", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2134/jeq2006.0547", "name": "item", "description": "10.2134/jeq2006.0547", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2134/jeq2006.0547"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-01-01T00:00:00Z"}}, {"id": "10.2134/jeq2010.0168", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:20:58Z", "type": "Journal Article", "created": "2011-04-26", "title": "Agroforestry Buffers For Nonpoint Source Pollution Reductions From Agricultural Watersheds", "description": "Despite increased attention and demand for the adoption of agroforestry practices throughout the world, rigorous long-term scientific studies confirming environmental benefits from the use of agroforestry practices are limited. The objective was to examine nonpoint-source pollution (NPSP) reduction as influenced by agroforestry buffers in watersheds under grazing and row crop management. The grazing study consists of six watersheds in the Central Mississippi Valley wooded slopes and the row crop study site consists of three watersheds in a paired watershed design in Central Claypan areas. Runoff water samples were analyzed for sediment, total nitrogen (TN), and total phosphorus (TP) for the 2004 to 2008 period. Results indicate that agroforestry and grass buffers on grazed and row crop management sites significantly reduce runoff, sediment, TN, and TP losses to streams. Buffers in association with grazing and row crop management reduced runoff by 49 and 19%, respectively, during the study period as compared with respective control treatments. Average sediment loss for grazing and row crop management systems was 13.8 and 17.9 kg ha yr, respectively. On average, grass and agroforestry buffers reduced sediment, TN, and TP losses by 32, 42, and 46% compared with the control treatments. Buffers were more effective in the grazing management practice than row crop management practice. These differences could in part be attributed to the differences in soils, management, and landscape features. Results from this study strongly indicate that agroforestry and grass buffers can be designed to improve water quality while minimizing the amount of land taken out of production.", "keywords": ["2. Zero hunger", "Geologic Sediments", "Missouri", "Nitrogen", "Water Pollution", "Agriculture", "Forestry", "Fresh Water", "Phosphorus", "04 agricultural and veterinary sciences", "15. Life on land", "Poaceae", "6. Clean water", "Trees", "Rivers", "13. Climate action", "Water Movements", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.2134/jeq2010.0168"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Quality", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2134/jeq2010.0168", "name": "item", "description": "10.2134/jeq2010.0168", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2134/jeq2010.0168"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-05-01T00:00:00Z"}}, {"id": "10.2134/jeq2010.0454", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-07-27T16:20:58Z", "type": "Journal Article", "created": "2011-06-27", "title": "Comparative Losses Of Glyphosate And Selected Residual Herbicides In Surface Runoff From Conservation-Tilled Watersheds Planted With Corn Or Soybean", "description": "Residual herbicides regularly used in conjunction with conservation tillage to produce corn ( L.) and soybean [ (L.) Merr] are often detected in surface water at concentrations that exceed their U.S. maximum contaminant levels (MCL) and ecological standards. These risks might be reduced by planting glyphosate-tolerant varieties of these crops and totally or partially replacing the residual herbicides alachlor, atrazine, linuron, and metribuzin with glyphosate, a contact herbicide that has a short half-life and is strongly sorbed to soil. Therefore, we applied both herbicide types at typical rates and times to two chisel-plowed and two no-till watersheds in a 2-yr corn/soybean rotation and at half rates to three disked watersheds in a 3-yr corn/soybean/wheat-red clover ( L.- L.) rotation and monitored herbicide losses in surface runoff for three crop years. Average dissolved glyphosate loss for all tillage practices, as a percentage of the amount applied, was significantly less ( \u2264 0.05) than the losses of atrazine (21.4x), alachlor (3.5x), and linuron (8.7x) in corn-crop years. Annual, flow-weighted, concentration of atrazine was as high as 41.3 \u03bcg L, much greater than its 3 \u03bcg L MCL. Likewise, annual, flow-weighted alachlor concentration (MCL = 2 \u03bcg L) was as high as 11.2 and 4.9 \u03bcg L in corn- and soybean-crop years, respectively. In only one runoff event during the 18 watershed-years it was applied did glyphosate concentration exceed its 700 \u03bcg L MCL and the highest, annual, flow-weighted concentration was 3.9 \u03bcg L. Planting glyphosate-tolerant corn and soybean and using glyphosate in lieu of some residual herbicides should reduce the impact of the production of these crops on surface water quality.", "keywords": ["2. Zero hunger", "Glyphosate", "Glycine max", "Herbicides", "Glycine", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Zea mays", "6. Clean water", "Water Supply", "13. Climate action", "Medicago", "Water Movements", "Water Pollution", " Chemical", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Triticum", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.2134/jeq2010.0454"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Quality", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2134/jeq2010.0454", "name": "item", "description": "10.2134/jeq2010.0454", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2134/jeq2010.0454"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-07-01T00:00:00Z"}}, {"id": "10.3390/ijerph8051491", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:21:51Z", "type": "Journal Article", "created": "2011-05-11", "description": "<p>Application of poultry litter (PL) to soil may lead to nitrogen (N) losses through ammonia (NH3) volatilization and to potential contamination of surface runoff with PL-derived phosphorus (P). Amending litter with acidified biochar may minimize these problems by decreasing litter pH and by retaining litter-derived P, respectively. This study evaluated the effect of acidified biochars from pine chips (PC) and peanut hulls (PH) on NH3 losses and inorganic N and P released from surface-applied or incorporated PL. Poultry litter with or without acidified biochars was surface-applied or incorporated into the soil and incubated for 21 d. Volatilized NH3 was determined by trapping it in acid. Inorganic N and P were determined by leaching the soil with 0.01 M of CaCl2 during the study and by extracting it with 1 M KCl after incubation. Acidified biochars reduced NH3 losses by 58 to 63% with surface-applied PL, and by 56 to 60% with incorporated PL. Except for PH biochar, which caused a small increase in leached NH4+-N with incorporated PL, acidified biochars had no effect on leached or KCl-extractable inorganic N and P from surface-applied or incorporated PL. These results suggest that acidified biochars may decrease NH3 losses from PL but may not reduce the potential for P loss in surface runoff from soils receiving PL.</p>", "keywords": ["2. Zero hunger", "Water Pollution", "04 agricultural and veterinary sciences", "Phosphorus Compounds", "15. Life on land", "Article", "Poultry", "6. Clean water", "Manure", "acidified biochar; poultry litter; inorganic nitrogen; inorganic phosphorus; ammonia volatilization", "Ammonia", "13. Climate action", "Charcoal", "Animals", "0401 agriculture", " forestry", " and fisheries", "Volatilization", "Nitrogen Compounds"], "contacts": [{"organization": "William P. Miller, Sarah A. Doydora, Keshav C. Das, Julia W. Gaskin, Leticia Sonon, Miguel L. Cabrera,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/1660-4601/8/5/1491/pdf"}, {"href": "https://doi.org/10.3390/ijerph8051491"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Environmental%20Research%20and%20Public%20Health", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ijerph8051491", "name": "item", "description": "10.3390/ijerph8051491", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ijerph8051491"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-05-11T00:00:00Z"}}, {"id": "10.3390/w13141893", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:05Z", "type": "Journal Article", "created": "2021-07-08", "title": "Diffuse Water Pollution from Agriculture: A Review of Nature-Based Solutions for Nitrogen Removal and Recovery", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The implementation of nature-based solutions (NBSs) can be a suitable and sustainable approach to coping with environmental issues related to diffuse water pollution from agriculture. NBSs exploit natural mitigation processes that can promote the removal of different contaminants from agricultural wastewater, and they can also enable the recovery of otherwise lost resources (i.e., nutrients). Among these, nitrogen impacts different ecosystems, resulting in serious environmental and human health issues. Recent research activities have investigated the capability of NBS to remove nitrogen from polluted water. However, the regulating mechanisms for nitrogen removal can be complex, since a wide range of decontamination pathways, such as plant uptake, microbial degradation, substrate adsorption and filtration, precipitation, sedimentation, and volatilization, can be involved. Investigating these processes is beneficial for the enhancement of the performance of NBSs. The present study provides a comprehensive review of factors that can influence nitrogen removal in different types of NBSs, and the possible strategies for nitrogen recovery that have been reported in the literature.</p></article>", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "nitrogen; constructed wetlands; buffer strips; vegetated channels; water sediment control basins; water pollution", "01 natural sciences", "6. Clean water", "3. Good health", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/828003/1/2021_Diffuse%20Water%20Pollution%20from%20Agriculture.pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/14/1893/pdf"}, {"href": "https://doi.org/10.3390/w13141893"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w13141893", "name": "item", "description": "10.3390/w13141893", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w13141893"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-08T00:00:00Z"}}, {"id": "10.3390/w15061247", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:06Z", "type": "Journal Article", "created": "2023-03-22", "title": "Slowing Down Quick Runoff\u2014A New Approach for the Delineation and Assessment of Critical Points, Contributing Areas, and Proposals of Measures to Reduce Non-Point Water Pollution from Agricultural Land", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Non-point sources of water pollution caused by agricultural crop production are a serious problem in Czechia, at present. This paper describes a new approach for the mutual delineation and assessment of different pollution sources where the critical points method is used to identify the origin of contamination and the source areas. The critical points, i.e., sites presenting the entry of quick surface and drainage runoff into waters, are classified into three (for surface pollution sources using a WaTEM/SEDEM model) or four (subsurface = drainage sources via the catchment-measures need index) categories, respectively. This enabled us to prioritize the most endangered areas at different scales, ranging from the third-order catchments to very small subcatchments, and to design the appropriate combination of control measures to mitigate surface and drainage water runoff, with these being the main drivers of associated pollution. This methodology was applied to a study conducted in the Czech Republic within the entire Vltava River basin, with a total area of 27,578 km2, and utilized in depth to assess a 543 km2 catchment of the Vla\u0161imsk\u00e1 Blanice River. When the effect of the designed surface runoff control measures system had been assessed for sediment transport through outlet profiles of the fourth-order catchments, the average reduction reached 43%. The total reduction in the subsurface transport of nitrogen within the fourth-order catchments was 24%. The approach and results are planned to be projected into river basin management plans for the Vltava River basin. Nevertheless, a thorough reassessment of current legislations and strategies is needed to enable the broader adoption of mitigation measures and sustainable management patterns within agricultural landscapes.</p></article>", "keywords": ["2. Zero hunger", "Non-point agricultural water pollution", "13. Climate action", "11. Sustainability", "Drainage water management", "catchment prioritization; critical point; drainage water management; non-point agricultural water pollution; surface runoff; water retention", "Water retention", "15. Life on land", "Catchment prioritization", "Surface runoff", "6. Clean water", "12. Responsible consumption", "Critical point"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://doi.org/10.3390/w15061247"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w15061247", "name": "item", "description": "10.3390/w15061247", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w15061247"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-22T00:00:00Z"}}, {"id": "10.48436/dej9y-j2703", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:21Z", "type": "Other", "created": "2024-11-03", "title": "Regionalised Emission Model (MoRE) for PFAS from H2020 Project PROMISCES - Case Study 2", "description": "MoRE model for PFAS emissions into surface waters in the upper Danube basin  This record contains a SQLite database driven emission model for modelling PFAS emissions into surface waters of the upper Danube basin, and a collection of flowcharts in PDF (and PDF/A) format demonstrating the model setup processes.  Description of the model  The model system MoRE (Modeling of Regionalized Emissions) was initially developed by the Karlsruhe Institute of Technology (KIT) in cooperation with the German Federal Environment Agency. It is based on the MONERIS model system. MoRE was developed as a tool in an open source environment for modelling substance emissions into surface waters for a wide range of substances with relevance for water quality (Fuchs et al. 2017).  The modelling in MoRE is carried out as a regionalized pathway analysis. The substance emissions are modelled with temporal and spatial differentiation via various emission pathways, as indicated in the EU Guidance Document No 28 (EC 2012) for tier 3 for establishing an inventory of emissions. The temporal resolution of the model are annual time steps and the spatial resolution is 526 sub-catchments with a size of 354 \u00b1 352 km\u00b2.  In the PROMISCES project the model was adapted for modelling of PFAS, which means additional emission pathways were implemented, which might be significant for PFAS and other pathways with less significance for this substance group were simplified and grouped together. Thus, the model contains now the following pathways:  Point pathways:    Municipal wastewater treatment plants  Industrial direct dischargers   Diffuse pathways:    direct atmospheric deposition onto water surface  surface runoff from unsealed areas  soil erosion  groundwater with contribution from    legacy pollution from PFAS production site (in case of PROMISCES cs#2, the industrial park at Gendorf, Germany)  legacy pollution from aerodromes caused by fire-fighting training activities  legacy pollution from municipal landfills    sewer systems   Due to the flexible structure of MoRE, new substances and emission pathways can be integrated at any time, provided that the necessary input data are available and modelling can be carried out in a reasonable way. In addition, MoRE offers the possibility to modify existing calculation approaches and to test different input data sets by comparing them. For this purpose, different variants can be created. In the PROMISCES project three model variants for the current state were implemented to represent the uncertainty in the model input data:    Base variant: Based on the median evaluation of environmental concentrations this variant should present the most likely model outcome. If more than 80% of the environmental concentrations were measured as below the analytical limit of quantitation (LOQ), or less than 3 concentrations were observed above the LOQ, half value of the LOQ was used as input data.  Best-Case: This variant is based on the 25th percentile of environmental concentrations and represents a best-case evaluation with rather low pollution. If more than 80% of the environmental concentrations were measured as below the LOQ, or less than 3 concentrations were observed above the LOQ, 0 was used as input data.  Worst-Case: This variant is based on the 75th percentile of environmental concentrations and represents a worst-case evaluation with rather high pollution. If more than 80% of the environmental concentrations were measured as below the LOQ, or less than 3 concentrations were observed above the LOQ, the value of the LOQ was used as input data.   The PROMISCES modelling guidance document (D2.4) in Chapter XX provides an example of the application of the model in the Upper Danube region.  References  EC (2012), European Commission: Guidance Document No. 28. Technical guidance on the preparation of an inventory of emissions, discharges and losses of priority and priority hazardous substances, 1st edn. Common implementation strategy for the Water Framework Directive (2000/60/EC), vol 058. ISBN: 978-92-79-23823-9. European Commission, Brussels  Fuchs S, Kaiser M, Kiemle L, Kittlaus S, Rothvo\u00df S, Toshovski S, Wagner A, Wander R, Weber T, Ziegler S (2017): Modeling of Regionalized Emissions (MoRE) into Water Bodies: An Open-Source River Basin Management System. Water 9:239. https://doi.org/10.3390/w9040239  Technical details  The MoRE model system is based on an open source PostgreSQL or SQLite database, a generic calculation engine and the MoRE Developer user interface, which can be used to read, modify and extend the contents of the database. All computations are performed by the calculation engine, which is controlled via the user interface. The modelling results can be exported as tables via the MoRE Developer user interface and the results can be used in GIS for mapping. Users can work with MoRE in two different ways: on the basis of a multi-user access in a PostgreSQL database via the Internet or as a stand-alone application on the PC.  Here the SQLite based version is provided as an executable in a zip file. After extraction from the zip file the executable (.exe file) can be started on a Windows operating system (Windows 10 and 11 tested).  More information on how to use MoRE can be found in the\u00a0MoRE documentation wiki  Licensing  The MoRE-Developer graphical user interface is property of COS Geoinformatik GmbH & Co. KG. Redistribution is only allowed with the permission of COS Geoinformatik GmbH & Co. KG, Karlsruher Str. 10b, 76275 Ettlingen, Germany,\u00a0www.cosgeo.de, Phone: +49 7243 3241-11, email: armin.canzler@cosgeo.de.  The MoRE calculation engine (MoRE Rechenkern.dll) is licensed under a GNU Affero General Public License, Version 3 (AGPL V3.0 http://www.gnu.org/licenses/agpl.html).  The content of the database, if not differently stated in the data itself is licensed under a Creative Commons Attribution Share Alike 4.0 International license (CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/).", "keywords": ["water pollution", "regionalized pathway analysis", "per and polyfluorinated substances", "PFAS", "Other", "emission model", "Danube", "catchment", "MoRE model", "per- and polyfluorinated substances"]}, "links": [{"href": "https://doi.org/10.48436/dej9y-j2703"}, {"rel": "self", "type": "application/geo+json", "title": "10.48436/dej9y-j2703", "name": "item", "description": "10.48436/dej9y-j2703", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48436/dej9y-j2703"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.48436/wg9dy-r9r31", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:21Z", "type": "Other", "created": "2024-11-03", "title": "Regionalised Emission Model (MoRE) for PFAS from H2020 Project PROMISCES - Case Study 2", "description": "MoRE model for PFAS emissions into surface waters in the upper Danube basin  This record contains a SQLite database driven emission model for modelling PFAS emissions into surface waters of the upper Danube basin, and a collection of flowcharts in PDF (and PDF/A) format demonstrating the model setup processes.  Description of the model  The model system MoRE (Modeling of Regionalized Emissions) was initially developed by the Karlsruhe Institute of Technology (KIT) in cooperation with the German Federal Environment Agency. It is based on the MONERIS model system. MoRE was developed as a tool in an open source environment for modelling substance emissions into surface waters for a wide range of substances with relevance for water quality (Fuchs et al. 2017).  The modelling in MoRE is carried out as a regionalized pathway analysis. The substance emissions are modelled with temporal and spatial differentiation via various emission pathways, as indicated in the EU Guidance Document No 28 (EC 2012) for tier 3 for establishing an inventory of emissions. The temporal resolution of the model are annual time steps and the spatial resolution is 526 sub-catchments with a size of 354 \u00b1 352 km\u00b2.  In the PROMISCES project the model was adapted for modelling of PFAS, which means additional emission pathways were implemented, which might be significant for PFAS and other pathways with less significance for this substance group were simplified and grouped together. Thus, the model contains now the following pathways:  Point pathways:    Municipal wastewater treatment plants  Industrial direct dischargers   Diffuse pathways:    direct atmospheric deposition onto water surface  surface runoff from unsealed areas  soil erosion  groundwater with contribution from    legacy pollution from PFAS production site (in case of PROMISCES cs#2, the industrial park at Gendorf, Germany)  legacy pollution from aerodromes caused by fire-fighting training activities  legacy pollution from municipal landfills    sewer systems   Due to the flexible structure of MoRE, new substances and emission pathways can be integrated at any time, provided that the necessary input data are available and modelling can be carried out in a reasonable way. In addition, MoRE offers the possibility to modify existing calculation approaches and to test different input data sets by comparing them. For this purpose, different variants can be created. In the PROMISCES project three model variants for the current state were implemented to represent the uncertainty in the model input data:    Base variant: Based on the median evaluation of environmental concentrations this variant should present the most likely model outcome. If more than 80% of the environmental concentrations were measured as below the analytical limit of quantitation (LOQ), or less than 3 concentrations were observed above the LOQ, half value of the LOQ was used as input data.  Best-Case: This variant is based on the 25th percentile of environmental concentrations and represents a best-case evaluation with rather low pollution. If more than 80% of the environmental concentrations were measured as below the LOQ, or less than 3 concentrations were observed above the LOQ, 0 was used as input data.  Worst-Case: This variant is based on the 75th percentile of environmental concentrations and represents a worst-case evaluation with rather high pollution. If more than 80% of the environmental concentrations were measured as below the LOQ, or less than 3 concentrations were observed above the LOQ, the value of the LOQ was used as input data.   The PROMISCES modelling guidance document (D2.4) in Chapter XX provides an example of the application of the model in the Upper Danube region.  References  EC (2012), European Commission: Guidance Document No. 28. Technical guidance on the preparation of an inventory of emissions, discharges and losses of priority and priority hazardous substances, 1st edn. Common implementation strategy for the Water Framework Directive (2000/60/EC), vol 058. ISBN: 978-92-79-23823-9. European Commission, Brussels  Fuchs S, Kaiser M, Kiemle L, Kittlaus S, Rothvo\u00df S, Toshovski S, Wagner A, Wander R, Weber T, Ziegler S (2017): Modeling of Regionalized Emissions (MoRE) into Water Bodies: An Open-Source River Basin Management System. Water 9:239. https://doi.org/10.3390/w9040239  Technical details  The MoRE model system is based on an open source PostgreSQL or SQLite database, a generic calculation engine and the MoRE Developer user interface, which can be used to read, modify and extend the contents of the database. All computations are performed by the calculation engine, which is controlled via the user interface. The modelling results can be exported as tables via the MoRE Developer user interface and the results can be used in GIS for mapping. Users can work with MoRE in two different ways: on the basis of a multi-user access in a PostgreSQL database via the Internet or as a stand-alone application on the PC.  Here the SQLite based version is provided as an executable in a zip file. After extraction from the zip file the executable (.exe file) can be started on a Windows operating system (Windows 10 and 11 tested).  More information on how to use MoRE can be found in the\u00a0MoRE documentation wiki  Licensing  The MoRE-Developer graphical user interface is property of COS Geoinformatik GmbH & Co. KG. Redistribution is only allowed with the permission of COS Geoinformatik GmbH & Co. KG, Karlsruher Str. 10b, 76275 Ettlingen, Germany,\u00a0www.cosgeo.de, Phone: +49 7243 3241-11, email: armin.canzler@cosgeo.de.  The MoRE calculation engine (MoRE Rechenkern.dll) is licensed under a GNU Affero General Public License, Version 3 (AGPL V3.0 http://www.gnu.org/licenses/agpl.html).  The content of the database, if not differently stated in the data itself is licensed under a Creative Commons Attribution Share Alike 4.0 International license (CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/).", "keywords": ["water pollution", "regionalized pathway analysis", "per and polyfluorinated substances", "PFAS", "Other", "emission model", "Danube", "catchment", "MoRE model", "per- and polyfluorinated substances"], "contacts": [{"organization": "Liu, Meiqi, Kittlaus, Steffen, Zessner-Spitzenberg, Matthias,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.48436/wg9dy-r9r31"}, {"rel": "self", "type": "application/geo+json", "title": "10.48436/wg9dy-r9r31", "name": "item", "description": "10.48436/wg9dy-r9r31", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48436/wg9dy-r9r31"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14027088", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:23:27Z", "type": "Dataset", "created": "2024-11-01", "title": "Per- and Polyfluoroalkyl Substances (PFAS) Concentrations in the Upper Danube Catchment: Integrated Dataset from H2020 Project PROMISCES - Case Study 2", "description": "Dataset Description  This dataset was produced within the framework of\u00a0Horizon 2020 Framework Programme, Project PROMISCES (Preventing Recalcitrant Organic Mobile Industrial chemicalS for Circular Economy in the Soil-sediment-water system). Project website: https://promisces.eu/  The dataset contains information on the environmental concentrations of Per- and Polyfluoroalkyl substances (PFASs) collected as part of the PROMISCES project's Case Study #2,\u00a0Subtask 2.2.4 \u2013 Large catchment scale monitoring in different environmental compartments. It also includes data gathered from various external sources.  Abstract  PFASs are a group of synthetic chemicals widely used in various household and industrial applications (Gl\u00fcge et al., 2020). Due to their high chemical stability, PFASs are resistant to natural degradation processes, leading to their accumulation in different environmental matrices and ultimately posing potential health risks to humans (Sunderland et al., 2019). PROMISCES CS#2 focused on understading the fate and transport of PFASs in the upper Danube catchment, covering the Danube from its source to the city of Budapest. Over approximately 1.5 years, a comprehensive monitoring campaign was conducted in this study area, across multiple environmental compartments:\u00a0    Atmopsheric Deposition:\u00a0  River water: including Danube mainstream and its tributaries.  Groundwater: including bank-filtered water from the Danube, and groundwater directly influenced by the landfills  Landfill leachate  Surface Runoff  Wastewater: Influent and effluent from municipal waterwater treatment plants (WWTPs) and direct industrial dischargers   Particularly, the case study placed a special focus on the Danube and its bank filtration sites at two major cities in the Upper Danube, Vienna and Budapest.  The dataset primarily consists results from targeted analysis of 32 individual PFAS substances. In addition, available data for these 32 PFASs in the study area were collected from various online resources or provided directly by project partners. For confidentiality reasons, some external data have been anonymized on names and locations.\u00a0  Partial of this dataset have already contributed to a 2023 publication (Liu et al.), which was based on preliminary data before the completion of the full monitoring campaign and external data collection.  The full dataset was analysed and discussed in the publication Liu et al. (2025): https://www.doi.org/10.1186/s12302-025-01141-6  Technical Details  This dataset includes:    A Zip file containing .accdb Microsoft Access database  A ZIP file containing .csv files structured to match the database   Notice that the .accdb version is out of maintance and removed in version 3.0. The only changes compared to version 2.0 was the substance short-names for two compounds:    substance with CAS number 2355-31-9 updated from \u201cMeFOSAA\u201d to \u201cN-MeFOSAA\u201d  substance with CAS number 2991-50-6 updated from \u201cEtFOSAA\u201d to \u201cN-EtFOSAA   Database structure  One query is created to show most important information:    Concentrations_PFAS: contains all PFAS concentration data.\u00a0   In addition, tables were provided with more infomation on the metadata:    Table1_measurements: concentrations data with units, values, limit of quantifications (LOQs); keys indicating relationships with other tables.  Table2_samplings: sample codes, sampling times (if available), sampling type, sampling techniques; key indicating relationships with Table7_analytical_methods.  Table3_samples: sample names, sample sites, coordinates and coordinate systems (if available).  Table4_compartments: sample matrices/compartments, more detailed sample types.  Table5_compounds: CAS numbers, substance short names, Sus Dat IDs, substance names in NORMAN database, substance group short names and long names.  Table6_datasources: data source names, organisations, countries, references, links.  Table7_analytical_methods: laboratories, preparation methods, analytical methods, analytical method standards.   References  Gl\u00fcge, J., Scheringer M., Cousins I., DeWitt J., Goldenman G., Herzke D., Lohmann R., Ng A., Trier X., Wang Z (2020) An Overview of the Uses of Per- and Polyfluoroalkyl Substances (PFAS). Environmental Science: Processes & Impacts 12. https://doi.org/10.1039/D0EM00291G  Liu, M., Saracevic, E., Kittlaus, S., Oudega, T., Obeid, A., Nagy-Kov\u00e1cs, Z., L\u00e1szl\u00f3, B., Krlovic, N., Saracevic, Z., Lindner, G., Rab, R., Derx, J., Zoboli, O., Zessner, M. (2023) PFAS-Belastungen im Einzugsgebiet der oberen Donau. \u00d6sterr Wasser- und Abfallw 75, 503\u2013514 . https://doi.org/10.1007/s00506-023-00973-x\u00a0  Sunderland, Elsie M., Xindi C. Hu, Clifton Dassuncao, Andrea K. Tokranov, Charlotte C. Wagner, and Joseph G. Allen. (2019) A Review of the Pathways of Human Exposure to Poly- and Perfluoroalkyl Substances (PFASs) and Present Understanding of Health Effects. Journal of Exposure Science & Environmental Epidemiology 29, no. 2 : 131\u201347. https://doi.org/10.1038/s41370-018-0094-1", "keywords": ["Water management", "Environmental sciences", "water pollution", "emerging pollutants", "PFAS", "hazardous substances", "Danube", "water quality", "Pollution", "environmental monitoring"], "contacts": [{"organization": "Liu, Meiqi", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14027088"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14027088", "name": "item", "description": "10.5281/zenodo.14027088", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14027088"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-01T00:00:00Z"}}, {"id": "10261/366355", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:25:56Z", "type": "Journal Article", "created": "2023-03-22", "title": "Slowing Down Quick Runoff\u2014A New Approach for the Delineation and Assessment of Critical Points, Contributing Areas, and Proposals of Measures to Reduce Non-Point Water Pollution from Agricultural Land", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Non-point sources of water pollution caused by agricultural crop production are a serious problem in Czechia, at present. This paper describes a new approach for the mutual delineation and assessment of different pollution sources where the critical points method is used to identify the origin of contamination and the source areas. The critical points, i.e., sites presenting the entry of quick surface and drainage runoff into waters, are classified into three (for surface pollution sources using a WaTEM/SEDEM model) or four (subsurface = drainage sources via the catchment-measures need index) categories, respectively. This enabled us to prioritize the most endangered areas at different scales, ranging from the third-order catchments to very small subcatchments, and to design the appropriate combination of control measures to mitigate surface and drainage water runoff, with these being the main drivers of associated pollution. This methodology was applied to a study conducted in the Czech Republic within the entire Vltava River basin, with a total area of 27,578 km2, and utilized in depth to assess a 543 km2 catchment of the Vla\u0161imsk\u00e1 Blanice River. When the effect of the designed surface runoff control measures system had been assessed for sediment transport through outlet profiles of the fourth-order catchments, the average reduction reached 43%. The total reduction in the subsurface transport of nitrogen within the fourth-order catchments was 24%. The approach and results are planned to be projected into river basin management plans for the Vltava River basin. Nevertheless, a thorough reassessment of current legislations and strategies is needed to enable the broader adoption of mitigation measures and sustainable management patterns within agricultural landscapes.</p></article>", "keywords": ["2. Zero hunger", "Non-point agricultural water pollution", "13. Climate action", "11. Sustainability", "Drainage water management", "catchment prioritization; critical point; drainage water management; non-point agricultural water pollution; surface runoff; water retention", "Water retention", "15. Life on land", "Catchment prioritization", "Surface runoff", "6. Clean water", "12. Responsible consumption", "Critical point"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://doi.org/10261/366355"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366355", "name": "item", "description": "10261/366355", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366355"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-22T00:00:00Z"}}, {"id": "10.5424/sjar/2008062-320", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:56Z", "type": "Journal Article", "created": "2013-11-21", "description": "<p>The aim of this experiment was to evaluate the effects of adding DMPP (3,4-dimethylpyrazole phosphate) to urea on nitrate leaching and maize (Zea mays L.) yield over two growing seasons. Two nitrogen (N) levels (optimum and excessive) were applied to an irrigated maize crop under Mediterranean conditions. There were five treatments: optimal N (as urea) and the same dose plus DMPP; optimal N (as urea plus 40 kg N/ha) and the same N dose plus DMPP; and a control with no added N fertilizer. The maize was irrigated with an overhead mobile-line sprinkler system. EnviroSCAN probes were used to determine drainage and evapotranspiration and ceramic cups to obtain soil solution samples at a soil depth of 1.4 m. The use of DMPP with urea reduced nitrate leaching. No phytotoxic effects were observed due to the DMPP. There were no differences in grain yield between treatments with and without DMPP at the same rate of N. When DMPP was applied, sodium was displaced from the soil exchange complex due to increased NH4+ concentration, which also increased the electrical conductivity of soil in the drainage zone.</p>", "keywords": ["ZEA MAYS; APLICACION DE ABONOS; ABONOS NITROGENADOS; UREA; NITRATOS; LIXIVIACION; POLUCION DE AGUAS SUBTERRANEAS; INHIBIDORES DE LA NITRIFICACION; CONTROL DE LA CONTAMINACION; RENDIMIENTO DE CULTIVOS", "NITRIFICATION INHIBITORS", "INHIBIDORES DE LA NITRIFICACION", "NITROGEN FERTILIZERS", "CONTROL DE LA CONTAMINACION", "LEACHING", "POLLUTION CONTROL", "GROUNDWATER POLLUTION", "NITRATES", "Fertilizing", "RENDIMIENTO DE CULTIVOS", "CROP YIELD", "FERTILIZER APPLICATION", "APLICACION DE ABONOS", "ZEA MAYS", "ZEA MAYS; FERTILIZER APPLICATION; NITROGEN FERTILIZERS; UREA; NITRATES; LEACHING; GROUNDWATER POLLUTION; NITRIFICATION INHIBITORS; POLLUTION CONTROL; CROP YIELD", "POLUCION DE AGUAS SUBTERRANEAS", "2. Zero hunger", "ABONOS NITROGENADOS", "0402 animal and dairy science", "04 agricultural and veterinary sciences", "6. Clean water", "NITRATOS", "0401 agriculture", " forestry", " and fisheries", "LIXIVIACION", "UREA"], "contacts": [{"organization": "D\u00edez L\u00f3pez, J.A., Hernaiz, P.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5424/sjar/2008062-320"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Spanish%20Journal%20of%20Agricultural%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5424/sjar/2008062-320", "name": "item", "description": "10.5424/sjar/2008062-320", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5424/sjar/2008062-320"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-06-01T00:00:00Z"}}, {"id": "29732470", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:27:20Z", "type": "Journal Article", "created": "2018-05-06", "title": "Improving nitrate load estimates in an agricultural catchment using Event Response Reconstruction", "description": "Low-frequency grab sampling cannot capture fine dynamics of stream solute concentrations, which results in large uncertainties in load estimates. The recent development of high-frequency sensors has enabled monitoring solute concentrations at sub-hourly time scales. This study aimed to improve nitrate (NO3) load estimates using high-resolution records (15-min time interval) from optical sensors to capture the typical concentration response to storm events. An empirical model was developed to reconstruct NO3 concentrations during storm events in a 100-km2 agricultural catchment in Germany. Two years (Jan 2002 to Dec 2002 and Oct 2005 to Sep 2006) of high-frequency measurements of NO3 concentrations, discharge and precipitation were used. An Event Response Reconstruction (ERR) model was developed using NO3 concentration descriptor variables and predictor variables calculated from discharge and precipitation records. Fourteen events were used for calibration, and 27 events from four periods of continuous records of high-frequency measurement were used for validation. During all selected storm events, NO3 concentration decreased during flow rise and increased during the recession phase of the hydrograph. Three storm descriptor variables were used to describe these dynamics: relative change in concentration between initial and minimum NO3 concentrations (rdN), time to maximum change in NO3 concentration (TdN) and time to 50% recovery of NO3 concentration (TN rec ). The ERR consisted of building linear models of discharge and precipitation to predict these three descriptors. The ERR approach greatly improved NO3 load estimates compared to linear interpolation of grab sampling data (error decreased from 10 to 1%) or flow-weighted estimation of load (error is 7%). This study demonstrated that ERR based on a few months of high-resolution data enables accurate load estimates from low-frequency NO3 data.", "keywords": ["Nitrates", "Rivers", "13. Climate action", "Germany", "0208 environmental biotechnology", "Water Pollution", " Chemical", "0207 environmental engineering", "Agriculture", "Nitrogen Oxides", "02 engineering and technology", "Water Pollutants", " Chemical", "6. Clean water", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/29732470"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Monitoring%20and%20Assessment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "29732470", "name": "item", "description": "29732470", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/29732470"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-07T00:00:00Z"}}, {"id": "2a3c235d-08b0-4d9f-8f4c-c8f502eb8215", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.51, 52.33], [9.51, 54.76], [14.24, 54.76], [14.24, 52.33], [9.51, 52.33]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2025-07-17", "type": "Service", "created": "2025-05-23", "language": "eng", "title": "Web Map Service of the dataset 'Field data of benthic invertebrate and pesticide effects in 159 samples from 138 small water bodies the northeast German lowlands'", "description": "This Web Map Service includes spatial information used by datasets 'Field data of benthic invertebrate and pesticide effects in 159 samples from 138 small water bodies the northeast German lowlands'", "keywords": ["infoMapAccessService", "Soil", "agriculture", "arable farming", "chemical contamination", "cropping systems", "farmland", "freshwater ecosystem", "freshwater invertebrates", "grasslands", "habitats", "indicators", "pesticides", "ponds", "water pollution", "Germany", "Brandenburg", "Uckermark", "MonVia"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Fee Nanett Trau", "organization": "Julius Kuehn Institute", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Fee-nanett.trau@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-1983-6022", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Lena Charlotte Ruf", "organization": "Julius Kuehn Institute", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Lena.ruf@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-6395-343X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Karin Meinikmann", "organization": "Julius Kuehn Institute", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Karin.meinikmann@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4971-359X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Kathrin Fisch", "organization": "Julius Kuehn Institute", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Kathrin.fisch@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-1723-1601", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Marlen Heinz", "organization": "Julius Kuehn Institute", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Marlen.heinz@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-1345-7451", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stefan Lorenz", "organization": "Julius Kuehn Institute", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Stefan.lorenz@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-2785-3404", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stefan Lorenz", "organization": "Julius Kuehn Institute", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Stefan.lorenz@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-2785-3404", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Julius Kuehn Institute", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "agriculture"}, {"id": "arable farming"}, {"id": "chemical contamination"}, {"id": "cropping systems"}, {"id": "farmland"}, {"id": "freshwater ecosystem"}, {"id": "freshwater invertebrates"}, {"id": "grasslands"}, {"id": "habitats"}, {"id": "indicators"}, {"id": "pesticides"}, {"id": "ponds"}, {"id": "water pollution"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}], "scheme": "individual"}, {"concepts": [{"id": "MonVia"}], "scheme": "free"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=e2e90872-b266-42e4-8cc8-846c76fc22f7", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/ID_6554_zu_6552_anonymized_location_monvia/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "2a3c235d-08b0-4d9f-8f4c-c8f502eb8215", "name": "item", "description": "2a3c235d-08b0-4d9f-8f4c-c8f502eb8215", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2a3c235d-08b0-4d9f-8f4c-c8f502eb8215"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-17T00:00:00Z"}}, {"id": "10.5281/zenodo.14789120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:23:42Z", "type": "Report", "title": "Deliverable D2.4 - Guidance document on fate, transport and exposure for PMT's in the environment", "description": "Executive Summary  Models are used in exposure assessment for a number of reasons. They can help map the temporal and spatial variability of exposure, exposure pathways and exposure routes, and support risk assessment for water bodies where monitoring is lacking. They can be used to identify sources and pathways responsible for current exposures and to assess the impact of potential future developments of persistent, mobile, and toxic chemicals (PMT) exposures in surface water and groundwater. Such scenario assessment may include changes in PMT use, effects of pollution control measures, accidental spills or climate change.  The scope of this document, produced as part of the H2020 PROMISCES project, is to provide guidance for applications of models with a specific focus on model trains for the assessment of exposure to PMTs as part of the predictive risk assessment related to surface and groundwater. This document explains the basic concepts of specific models and how best to use them in modeltrains in the framework of a tiered approach. The intention is to inform users and interested stakeholders about what needs to be considered when using different methods, what is the best use of specific models, what are the best combinations in model trains and what are their current limitations.  The guidance document presents (i) \u201cscreening level\u201d models for the assessment of regional exposure of groundwater from soil pollution and for the assessment of general exposure of air, soil and water at local, regional or global scales, (ii) spatial and temporal explicit approaches for the identification of pollution plumes in the soil-groundwater continuum and (iii) model train applications for the catchment \u2013 river \u2013 river bank filtration \u2013 drinking water continuum.  Exposure of surface water and groundwater to PMT depends on the use patterns and the environmental fate of the chemicals. Emission, fate and transport models incorporate driving factors into documented algorithms. The extent to which a substance persists in surface water can, for instance, be calculated with the \u201cSimpleBox - Aquatic Persistence Dashboard\u201d, based on its physical-chemical characteristics. The presented approach for deriving generic risk limits for soils shows that, depending on regional variations in geo(hydro)logical conditions, the high mobility of some PFAS could lead to strict requirements for materials applied on soil.  For the soil-groundwater continuum, a novel model train is presented which accounts for the main physical and chemical processes controlling the fate and transport of PFAS. For sorption and degradation reactions, several formalisms can be used, allowing one to select the most appropriate according to the PFAS molecular properties and the characteristics of the simulateddomain. The results issued from these modelling applications indicate the key role of correctly identifying the main physical, chemical and biological processes controlling fate and transport of PFAS in the studied domain to build a robust conceptual model. To increase the robustness of the model, a thorough model calibration must be performed, preferably using time seriesmeasurements of the PFAS concentration in the pore solution at different locations of the contaminated site.  The results confirm the key role of the unsaturated zone in the transfer and long-term migration of PFAS. Nonlinearity and nonideality of sorption reactions were expected for a broad range of PFAS, suggesting using more complex numerical formalism than linear isotherms. Considering the key role of capillary fringe displacement on PFAS transport in the unsaturated zone, themodel train seems to be very efficient in performing PFAS simulations, as it can explicitly describe water flow and solute transport at the interface between the unsaturated and saturated zones, avoiding the main pitfall encountered in other numerical approaches.  The combination of stand-alone models in model trains expands the scope that can be covered in the context of a catchment \u2013 river \u2013 riverbank filtration \u2013 drinking water continuum for exposure assessment of surface waters and bank filtered drinking water. Model trains can combine individual models either in a complementary way or in a sequence. A complementary combination may either compare models of different complexity to find out which level of complexity (and associated effort) is needed to answer which questions, or may compare different models with their different strengths and weaknesses in parallel to assess uncertainties and/or use models for scenario evaluation according to their specific capabilities. A sequential combination facilitates a broader application in terms of content and at different spatial resolutions. Clearly defined interfaces are essential for a successful implementation.  Examples of model trains for selected PFAS are presented for the catchment-river interaction in the urban context of the Berlin case and for the whole catchment \u2013 river \u2013 riverbank filtration \u2013 drinking water continuum on the scale of the Upper Danube Basin. The Berlin case demonstrates the application of the sequential model train by combining a city emission model with a city surface water fate and transport model to assess the resulting exposure to PFAS in the city surface waters. The Danube case demonstrates the application of a sequential model train for exposure assessment of bank filtered drinking water by combining large-scale catchment-scale emission models with different types of bank filtration fate and transport models for specific locations in the catchment. In addition, it also demonstrates complementary application by comparing emission models with different strengths and weaknesses for the assessment of multiple scenarios on the catchment scale and different levels of complexity for the fate and transport modelling of bank filtration. The model train has been successfully applied for 10 different PFAS-substances including the assessment of a large range of scenarios.  Current limitations for exposure assessment of PFAS at river basin scale require improvement in scientific understanding as well as additional efforts in administrative data collection and inventory development. Current results of the exposure assessment show the very high relevance of legacy pollution from use of fire-fighting foams or from old municipal landfills. On the administrative level, there is a strong need for improved identification and harmonized inventorying of contaminated sites at national and international (EU) level. The lack of robust, openly available information on production, import-export and therefore use volumes of PFAS at national and EU level is strongly hampering exposure assessment. A major effort is urgently needed to provide this information, as it is decisive for a sound environmental exposure assessment, not only for surface water and groundwater.  In regard to scientific advances, there is a need for more and better understanding of the extent of local groundwater pollution, particularly due to the application of fire-fighting foams or to the presence of municipal landfills. Further improvement of the scientific knowledge about the fate of PFAS in the environment, including their partitioning between different phases (air,water, solids) and the transformation of the so called \u201cprecursors\u201d into stable \u201cend-products\u201d like PFOA, PFOS and short-chain substances is needed to enlarge the number of PFAS that can be included into the exposure assessment. A reproducible and standardised analytical parameter for \u201ctotal PFAS\u201d or even \u201ctotal toxicity of PFAS\u201d would be needed to address all relevant PFAS in a combined way as it is a focus of Workpackage 1 of the H2020 PROMISCES project (Togola et al. 2024; Behnisch et al. 2024).", "keywords": ["Groundwater/chemistry", "Groundwater pollution", "emission modelling", "Surface water management", "Groundwater quality", "Per- and polyfluorinated substances (PFAS)", "environmental transport modelling", "Surface water", "environmental fate modelling", "Groundwater endangering"], "contacts": [{"organization": "Zessner, Matthias, Baldwin, Dwight, del Val Alonso, Laura, Derx, Julia, Devau, Nicolas, Janssen, Gijs, Jou Claus, S\u00f2nia, Kittlaus, Steffen, Knoche, Franziska, Liu, Meiqi, Markus, Arjen, Valstar, Johan, Meesters, Joris, Meijers, Erwin, Obeid, Ali A.A., Oudega, Thomas James, Pathak, Devanshi, Sprenger, Christoph, van Gils, Jos, Wicke, Daniel, Wintersen, Arjen, Zhiteneva, Veronika, Groot, Hans,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14789120"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14789120", "name": "item", "description": "10.5281/zenodo.14789120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14789120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-28T00:00:00Z"}}, {"id": "10.5281/zenodo.15474678", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:23:58Z", "type": "Dataset", "created": "2024-11-01", "title": "Per- and Polyfluoroalkyl Substances (PFAS) Concentrations in the Upper Danube Catchment: Integrated Dataset from H2020 Project PROMISCES - Case Study 2", "description": "Dataset Description  This dataset was produced within the framework of\u00a0Horizon 2020 Framework Programme, Project PROMISCES (Preventing Recalcitrant Organic Mobile Industrial chemicalS for Circular Economy in the Soil-sediment-water system). Project website: https://promisces.eu/  The dataset contains information on the environmental concentrations of Per- and Polyfluoroalkyl substances (PFASs) collected as part of the PROMISCES project's Case Study #2,\u00a0Subtask 2.2.4 \u2013 Large catchment scale monitoring in different environmental compartments. It also includes data gathered from various external sources.  Abstract  PFASs are a group of synthetic chemicals widely used in various household and industrial applications (Gl\u00fcge et al., 2020). Due to their high chemical stability, PFASs are resistant to natural degradation processes, leading to their accumulation in different environmental matrices and ultimately posing potential health risks to humans (Sunderland et al., 2019). PROMISCES CS#2 focused on understading the fate and transport of PFASs in the upper Danube catchment, covering the Danube from its source to the city of Budapest. Over approximately 1.5 years, a comprehensive monitoring campaign was conducted in this study area, across multiple environmental compartments:\u00a0    Atmopsheric Deposition:\u00a0  River water: including Danube mainstream and its tributaries.  Groundwater: including bank-filtered water from the Danube, and groundwater directly influenced by the landfills  Landfill leachate  Surface Runoff  Wastewater: Influent and effluent from municipal waterwater treatment plants (WWTPs) and direct industrial dischargers   Particularly, the case study placed a special focus on the Danube and its bank filtration sites at two major cities in the Upper Danube, Vienna and Budapest.  The dataset primarily consists results from targeted analysis of 32 individual PFAS substances. In addition, available data for these 32 PFASs in the study area were collected from various online resources or provided directly by project partners. For confidentiality reasons, some external data have been anonymized on names and locations.\u00a0  Partial of this dataset have already contributed to a 2023 publication (Liu et al.), which was based on preliminary data before the completion of the full monitoring campaign and external data collection.  The full dataset was analysed and discussed in the publication Liu et al. (2025): https://www.doi.org/10.1186/s12302-025-01141-6  Technical Details  This dataset includes:    A Zip file containing .accdb Microsoft Access database  A ZIP file containing .csv files structured to match the database   Notice that the .accdb version is out of maintance and removed in version 3.0. The only changes compared to version 2.0 was the substance short-names for two compounds:    substance with CAS number 2355-31-9 updated from \u201cMeFOSAA\u201d to \u201cN-MeFOSAA\u201d  substance with CAS number 2991-50-6 updated from \u201cEtFOSAA\u201d to \u201cN-EtFOSAA   Database structure  One query is created to show most important information:    Concentrations_PFAS: contains all PFAS concentration data.\u00a0   In addition, tables were provided with more infomation on the metadata:    Table1_measurements: concentrations data with units, values, limit of quantifications (LOQs); keys indicating relationships with other tables.  Table2_samplings: sample codes, sampling times (if available), sampling type, sampling techniques; key indicating relationships with Table7_analytical_methods.  Table3_samples: sample names, sample sites, coordinates and coordinate systems (if available).  Table4_compartments: sample matrices/compartments, more detailed sample types.  Table5_compounds: CAS numbers, substance short names, Sus Dat IDs, substance names in NORMAN database, substance group short names and long names.  Table6_datasources: data source names, organisations, countries, references, links.  Table7_analytical_methods: laboratories, preparation methods, analytical methods, analytical method standards.   References  Gl\u00fcge, J., Scheringer M., Cousins I., DeWitt J., Goldenman G., Herzke D., Lohmann R., Ng A., Trier X., Wang Z (2020) An Overview of the Uses of Per- and Polyfluoroalkyl Substances (PFAS). Environmental Science: Processes & Impacts 12. https://doi.org/10.1039/D0EM00291G  Liu, M., Saracevic, E., Kittlaus, S., Oudega, T., Obeid, A., Nagy-Kov\u00e1cs, Z., L\u00e1szl\u00f3, B., Krlovic, N., Saracevic, Z., Lindner, G., Rab, R., Derx, J., Zoboli, O., Zessner, M. (2023) PFAS-Belastungen im Einzugsgebiet der oberen Donau. \u00d6sterr Wasser- und Abfallw 75, 503\u2013514 . https://doi.org/10.1007/s00506-023-00973-x\u00a0  Sunderland, Elsie M., Xindi C. Hu, Clifton Dassuncao, Andrea K. Tokranov, Charlotte C. Wagner, and Joseph G. Allen. (2019) A Review of the Pathways of Human Exposure to Poly- and Perfluoroalkyl Substances (PFASs) and Present Understanding of Health Effects. Journal of Exposure Science & Environmental Epidemiology 29, no. 2 : 131\u201347. https://doi.org/10.1038/s41370-018-0094-1", "keywords": ["Water management", "Environmental sciences", "water pollution", "emerging pollutants", "PFAS", "hazardous substances", "Danube", "water quality", "Pollution", "environmental monitoring"], "contacts": [{"organization": "Liu, Meiqi", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15474678"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15474678", "name": "item", "description": "10.5281/zenodo.15474678", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15474678"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-01T00:00:00Z"}}, {"id": "11585/828003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:18Z", "type": "Journal Article", "created": "2021-07-08", "title": "Diffuse Water Pollution from Agriculture: A Review of Nature-Based Solutions for Nitrogen Removal and Recovery", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The implementation of nature-based solutions (NBSs) can be a suitable and sustainable approach to coping with environmental issues related to diffuse water pollution from agriculture. NBSs exploit natural mitigation processes that can promote the removal of different contaminants from agricultural wastewater, and they can also enable the recovery of otherwise lost resources (i.e., nutrients). Among these, nitrogen impacts different ecosystems, resulting in serious environmental and human health issues. Recent research activities have investigated the capability of NBS to remove nitrogen from polluted water. However, the regulating mechanisms for nitrogen removal can be complex, since a wide range of decontamination pathways, such as plant uptake, microbial degradation, substrate adsorption and filtration, precipitation, sedimentation, and volatilization, can be involved. Investigating these processes is beneficial for the enhancement of the performance of NBSs. The present study provides a comprehensive review of factors that can influence nitrogen removal in different types of NBSs, and the possible strategies for nitrogen recovery that have been reported in the literature.</p></article>", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "nitrogen; constructed wetlands; buffer strips; vegetated channels; water sediment control basins; water pollution", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences", "3. Good health"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/828003/1/2021_Diffuse%20Water%20Pollution%20from%20Agriculture.pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/14/1893/pdf"}, {"href": "https://doi.org/11585/828003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11585/828003", "name": "item", "description": "11585/828003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/828003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-08T00:00:00Z"}}, {"id": "1854/LU-8619257", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:28Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/1854/LU-8619257"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8619257", "name": "item", "description": "1854/LU-8619257", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8619257"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "2799460907", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:27:13Z", "type": "Journal Article", "created": "2018-05-06", "title": "Improving nitrate load estimates in an agricultural catchment using Event Response Reconstruction", "description": "Low-frequency grab sampling cannot capture fine dynamics of stream solute concentrations, which results in large uncertainties in load estimates. The recent development of high-frequency sensors has enabled monitoring solute concentrations at sub-hourly time scales. This study aimed to improve nitrate (NO3) load estimates using high-resolution records (15-min time interval) from optical sensors to capture the typical concentration response to storm events. An empirical model was developed to reconstruct NO3 concentrations during storm events in a 100-km2 agricultural catchment in Germany. Two years (Jan 2002 to Dec 2002 and Oct 2005 to Sep 2006) of high-frequency measurements of NO3 concentrations, discharge and precipitation were used. An Event Response Reconstruction (ERR) model was developed using NO3 concentration descriptor variables and predictor variables calculated from discharge and precipitation records. Fourteen events were used for calibration, and 27 events from four periods of continuous records of high-frequency measurement were used for validation. During all selected storm events, NO3 concentration decreased during flow rise and increased during the recession phase of the hydrograph. Three storm descriptor variables were used to describe these dynamics: relative change in concentration between initial and minimum NO3 concentrations (rdN), time to maximum change in NO3 concentration (TdN) and time to 50% recovery of NO3 concentration (TN rec ). The ERR consisted of building linear models of discharge and precipitation to predict these three descriptors. The ERR approach greatly improved NO3 load estimates compared to linear interpolation of grab sampling data (error decreased from 10 to 1%) or flow-weighted estimation of load (error is 7%). This study demonstrated that ERR based on a few months of high-resolution data enables accurate load estimates from low-frequency NO3 data.", "keywords": ["Nitrates", "Rivers", "13. Climate action", "Germany", "0208 environmental biotechnology", "Water Pollution", " Chemical", "0207 environmental engineering", "Agriculture", "Nitrogen Oxides", "02 engineering and technology", "Water Pollutants", " Chemical", "6. Clean water", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/2799460907"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Monitoring%20and%20Assessment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2799460907", "name": "item", "description": "2799460907", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2799460907"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-07T00:00:00Z"}}, {"id": "2268/215300", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:27:01Z", "type": "Journal Article", "created": "2017-10-23", "title": "Isotopic composition of nitrogen species in groundwater under agricultural areas: A review", "description": "This work reviews applications of stable isotope analysis to the studies of transport and transformation of N species in groundwater under agricultural areas. It summarizes evidence regarding factors affecting the isotopic composition of NO3-, NH4+ and N2O in subsurface, and discusses the use of 11B, 18O, 13C, 34S, 87Sr/86Sr isotopes to support the analysis of \u03b415N values. The isotopic composition of NO3-, NH4+ and N2O varies depending on their sources and dynamics of N cycle processes. The reported \u03b415N-NO3- values for sources of NO3- are: soil organic N - +3\u2030-+8\u2030, mineral fertilizers - -8\u2030-+7\u2030; manure/household waste - +5\u2030 to +35\u2030. For NH4+ sources, the isotopic signature ranges are: organic matter - +2.4-+4.1\u2030, rainwater - -13.4-+2.3\u2030, mineral fertilizers - -7.4-+5.1\u2030, household waste - +5-+9\u2030; animal manure - +8-+11\u2030. For N2O, isotopic composition depends on isotopic signatures of substrate pools and reaction rates. \u03b415N values of NO3- are influenced by fractionation effects occurring during denitrification (\u025b=5-40\u2030), nitrification (\u025b=5-35\u2030) and DNRA (\u025b not reported). The isotopic signature of NH4+ is also affected by nitrification and DNRA as well as mineralization (\u025b=1\u2030), sorption (\u025b=1-8\u2030), anammox (\u025b=4.3-7.4\u2030) and volatilization (\u025b=25\u2030). As for the N2O, production of N2O leads to its depletion in 15N, whereas consumption - to enrichment in 15N. The magnitude of fractionation effects occurring during the considered processes depends on temperature, pH, DO, C/NO3- ratio, size of the substrate pool, availability of electron donors, water content in subsoil, residence time, land use, hydrogeology. While previous studies have accumulated rich data on isotopic composition of NO3- in groundwater, evidence remains scarce in the cases of NH4+ and N2O. Further research is required to consider variability of \u03b415N-NH4+ and \u03b415N-N2O in groundwater across agricultural ecosystems.", "keywords": ["groundwater pollution", "N anthropogenic sources", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "0207 environmental engineering", "N cycle processes", "02 engineering and technology", "N isotopes", "15. Life on land", "01 natural sciences", "Geological", " petroleum & mining engineering", "6. Clean water", "Engineering", " computing & technology", "Ing\u00e9nierie", " informatique & technologie", "Sciences de la terre & g\u00e9ographie physique", "12. Responsible consumption", "Physical", " chemical", " mathematical & earth Sciences", "13. Climate action", "stable isotope analysis", "Earth sciences & physical geography", "G\u00e9ologie", " ing\u00e9nierie du p\u00e9trole & des mines", "agriculture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/215300/1/final%20version.pdf"}, {"href": "https://doi.org/2268/215300"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2268/215300", "name": "item", "description": "2268/215300", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2268/215300"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-01T00:00:00Z"}}, {"id": "2434/1115155", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:27:05Z", "type": "Journal Article", "created": "2024-06-12", "title": "Anthropogenic pollution may enhance natural transformation in water, favouring the spread of antibiotic resistance genes", "description": "Aquatic ecosystems are crucial in the antimicrobial resistance cycle. While intracellular DNA has been extensively studied to understand human activity's impact on antimicrobial resistance gene (ARG) dissemination, extracellular DNA is frequently overlooked. This study examines the effect of anthropogenic water pollution on microbial community diversity, the resistome, and ARG dissemination. We analyzed intracellular and extracellular DNA from wastewater treatment plant effluents and lake surface water by shotgun sequencing. We also conducted experiments to evaluate anthropogenic pollution's effect on transforming extracellular DNA (using Gfp-plasmids carrying ARGs) within a natural microbial community. Chemical analysis showed treated wastewater had higher anthropogenic pollution-related parameters than lake water. The richness of microbial community, antimicrobial resistome, and high-risk ARGs was greater in treated wastewaters than in lake waters both for intracellular and extracellular DNA. Except for the high-risk ARGs, richness was significantly higher in intracellular than in extracellular DNA. Several ARGs were associated with mobile genetic elements and located on plasmids. Furthermore, Gfp-plasmid transformation within a natural microbial community was enhanced by anthropogenic pollution levels. Our findings underscore anthropogenic pollution's pivotal role in shaping microbial communities and their antimicrobial resistome. Additionally, it may facilitate ARG dissemination through extracellular DNA plasmid uptake.", "keywords": ["Bacteria", "Antibiotic resistance", "Microbiota", "Water Pollution", "Metagenome assembled genomes", "Drug Resistance", " Microbial", "Horizontal gene transfer", "Wastewater", "extracellular DNA; antibiotic resistance; metagenome assembled genomes; transformation; horizontal gene transfer", "Transformation", "Anti-Bacterial Agents", "Lakes", "Extracellular DNA", "Genes", " Bacterial", "Drug Resistance", " Bacterial", "Water Microbiology", "Plasmids"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/1115155/2/Sivalingam%20et%20al%202024.pdf"}, {"href": "https://doi.org/2434/1115155"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hazardous%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2434/1115155", "name": "item", "description": "2434/1115155", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2434/1115155"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-01T00:00:00Z"}}, {"id": "3a7c6d9c-852e-4391-9e7a-fc5b89e9818e", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.08, 52.96], [9.08, 54.83], [11.04, 54.83], [11.04, 52.96], [9.08, 52.96]]]}, "properties": {"rights": "Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - INNOSOILPHOS's research activities. Although every care has been taken in preparing and testing the data, BonaRes Module A - Project - INNOSOILPHOS and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-INNOSOILPHOS and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2021-03-03", "type": "Service", "created": "2017-10-19", "language": "eng", "title": "WMS Service of the dataset 'Phosphorus Concentrations in a North-Eastern German Lowland Watershed on three Spatial Scales'", "description": "This WMS  Service includes spatial information used by datasets 'WMS  Service of the dataset 'Phosphorus Concentrations in a North-Eastern German Lowland Watershed on three Spatial Scales''", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "drainage", "Subsurface drainage", "Tile drainage", "Nonpoint pollution", "Water pollution", "Boden", "opendata"], "contacts": [{"name": "Stefan Koch", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "stefan.koch4@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18059", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Peter Leinweber", "organization": "University of Rostock", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": "Rostock", "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Agricultural Landscape Data Centre", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Evelyn Bolzmann", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "evelyn.bolzmann@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Andreas Bauwe", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "andreas.bauwe@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "University of Rostock", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "drainage"}, {"id": "Subsurface drainage"}, {"id": "Tile drainage"}, {"id": "Nonpoint pollution"}, {"id": "Water pollution"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=40cea0e4-7015-4dc5-a2ef-96fec9bbf4c1", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/INNOSOILPHOS_ID_4003_XY_DATEN/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/INNOSOILPHOS_ID_4003_XY_DATEN/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/INNOSOILPHOS_ID_4003_XY_DATEN/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/INNOSOILPHOS_ID_4003_XY_DATEN/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Inno_6_schieren.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "3a7c6d9c-852e-4391-9e7a-fc5b89e9818e", "name": "item", "description": "3a7c6d9c-852e-4391-9e7a-fc5b89e9818e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3a7c6d9c-852e-4391-9e7a-fc5b89e9818e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2015-11-01T00:00:00Z", "2017-04-30T00:00:00Z"]}}, {"id": "40cea0e4-7015-4dc5-a2ef-96fec9bbf4c1", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "drainage"}, {"id": "Subsurface drainage"}, {"id": "Tile drainage"}, {"id": "Nonpoint pollution"}, {"id": "Water pollution"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Spatial scale"}, {"id": "Concentration"}, {"id": "Dissolved reactive phosphorus"}, {"id": "Total phosphorus"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "phosphorus"}, {"id": "drainage"}, {"id": "freshwater quality"}, {"id": "diffuse pollution"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Boden"}, {"id": "inspireidentifiziert"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - INNOSOILPHOS's research activities.\n\nAlthough every care has been taken in preparing and testing the data, BonaRes Module A - Project - INNOSOILPHOS and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-INNOSOILPHOS and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2020-12-03", "type": "Dataset", "created": "2017-10-19", "language": "eng", "title": "Phosphorus Concentrations in a North-Eastern German Lowland Watershed on three Spatial Scales", "description": "Phosphorus (P) is an essential nutrient for crop production. Nonetheless, the runoff of P to rivers and streams, and the potential of eutrophication of surface waters also give rise to environmental concerns. The mitigation of surface water pollution is, therefore, one of most challenging issues in future agricultural P management. This dataset comprises discharge data and concentrations of dissolved reactive phosphorus (DRP) and total phosphorus (TP) on three differnet spatial scales (drain (4.2 ha), drainage ditch (179 ha) and brook (15.5 km\u00b2)) in a small agricultural lowland watershed in North-Eastern Germany.", "formats": [{"name": "CSV"}], "keywords": ["drainage", "Subsurface drainage", "Tile drainage", "Nonpoint pollution", "Water pollution", "Spatial scale", "Concentration", "Dissolved reactive phosphorus", "Total phosphorus", "opendata", "phosphorus", "drainage", "freshwater quality", "diffuse pollution", "Boden", "inspireidentifiziert"], "contacts": [{"name": "Stefan Koch", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "stefan.koch4@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18059", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Peter Leinweber", "organization": "University of Rostock", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": "Rostock", "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Evelyn Bolzmann", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "evelyn.bolzmann@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Andreas Bauwe", "organization": "University of Rostock", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "andreas.bauwe@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "University of Rostock", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=40cea0e4-7015-4dc5-a2ef-96fec9bbf4c1", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Inno_6_schieren.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "40cea0e4-7015-4dc5-a2ef-96fec9bbf4c1", "name": "item", "description": "40cea0e4-7015-4dc5-a2ef-96fec9bbf4c1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/40cea0e4-7015-4dc5-a2ef-96fec9bbf4c1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2015-11-01T00:00:00Z", "2017-04-30T00:00:00Z"]}}, {"id": "68a53696-44ef-40ca-935e-7934545b91e9", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.51, 52.33], [9.51, 54.76], [14.24, 54.76], [14.24, 52.33], [9.51, 52.33]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "agriculture"}, {"id": "arable farming"}, {"id": "chemical contamination"}, {"id": "cropping systems"}, {"id": "farmland"}, {"id": "freshwater ecosystem"}, {"id": "freshwater invertebrates"}, {"id": "grasslands"}, {"id": "habitats"}, {"id": "indicators"}, {"id": "pesticides"}, {"id": "ponds"}, {"id": "water pollution"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "MonVia"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2025-07-17", "type": "Dataset", "created": "2025-05-23", "language": "eng", "title": "Field data of benthic invertebrate and pesticide effects in 159 samples from 138 small water bodies the northeast German lowlands - pesticide limits", "description": "The table contains the concentrations of the limits of quantification for the pesticides measured in the water samples.\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-9esm-at76); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "agriculture", "arable farming", "chemical contamination", "cropping systems", "farmland", "freshwater ecosystem", "freshwater invertebrates", "grasslands", "habitats", "indicators", "pesticides", "ponds", "water pollution", "opendata", "MonVia", 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[{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-1983-6022", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Lena Charlotte Ruf", "organization": "Julius Kuehn Institute", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Lena.ruf@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-6395-343X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Karin Meinikmann", "organization": "Julius Kuehn Institute", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Karin.meinikmann@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4971-359X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Kathrin Fisch", "organization": "Julius Kuehn Institute", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Kathrin.fisch@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-1723-1601", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, 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We assess information flows around Best Management Practices (BMPs) undertaken by dairy farmers in central Pennsylvania, a subregion of the watershed. We apply a mixed-method approach, combining Social Network Analysis, the analysis of BMP-messaging (i.e. information source, flow, and their influences), and qualitative content analysis of stakeholders\u2019 interviews. Key strategic actors were identified through network centrality measures such as degree of node, betweenness centrality, and clustering coefficient. The perceived influence/credibility (by farmers) of BMP-messages and their source, allowed for the identification of strategic entry points for BMP-messages diffusion. Finally, the inductive coding process of stakeholders\u2019 interviews revealed major hindrances and opportunities for BMPs adoption. We demonstrate how improved targeting of policy interventions for BMPs uptake may be achieved, by better distributing entry-points across stakeholders. Our results reveal governance gaps and opportunities, on which we draw to provide insights for better tailored policy interventions. We propose strategies to optimize the coverage of policy mixes and the dissemination of BMP-messages by building on network diversity and actors\u2019 complementarities, and by targeting intervention towards specific BMPs and actors. We suggest that (i) conservation incentives could target supply chain actors as conservation intermediaries; (ii) compliance-control of manure management planning could be conducted by accredited private certifiers; (iii) policy should focus on incentivizing inter-farmers interaction (e.g. farmers\u2019 mobility, training, knowledge-exchange, and engagement in multi-stakeholders collaboration) via financial or non-pecuniary compensation; (iv) collective incentives could help better coordinate conservation efforts at the landscape or (sub-)watershed scale; (v) all relevant stakeholders (including farmers) should be concerted and included in the discussion, proposition, co-design and decision process of policy, in order to take their respective interests and responsibilities into account.</p></article>", "keywords": ["2. Zero hunger", "Conservation of Natural Resources", "Farmers", "Science", "Q", "Water Pollution", "R", "Agriculture", "Pennsylvania", "15. Life on land", "6. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2025-07-17", "type": "Dataset", "created": "2025-05-23", "language": "eng", "title": "Field data of benthic invertebrate and pesticide effects in 159 samples from 138 small water bodies the northeast German lowlands", "description": "The presented dataset was obtained in a comprehensive field study of small standing water bodies located in an agricultural landscape in the northeastern German lowlands. We collected biological data (benthic invertebrate taxa abundances) and chemical data (pesticide residues and nutrient concentrations) as well as data on environmental parameters (e.g., conductivity, pH and habitat type) for 154 samples within the time period of 2015-2021. Benthic invertebrates were sampled with a hand net (mesh size 500 \u03bcm) using a habitat-specific, area standardized method. Sampled habitats were: fine particulate organic matter (FPOM), coarse particulate organic matter (CPOM), submersed macrophytes, reed, flooded terrestrial vegetation, overhanging terrestrial vegetation, stones, and dead wood. Mixed water samples (5 L) for chemical analysis of nutrients and pesticides were taken by grab sampling from four to six points around the shoreline. The dataset was analysed in order to evaluate effects of agricultural and environmental stressors like habitat diversity, pesticide and nutrient contamination on diversity and structure of benthic invertebrate communities.  This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "agriculture", "arable farming", "chemical contamination", "cropping systems", "farmland", "freshwater ecosystem", "freshwater invertebrates", "grasslands", "habitats", "indicators", "pesticides", "ponds", "water pollution", "opendata", "MonVia", "Boden", "Germany", "Brandenburg", "Uckermark"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": 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