{"type": "FeatureCollection", "features": [{"id": "10.1007/s00267-013-0148-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:23Z", "type": "Journal Article", "created": "2013-08-12", "title": "Effect Of Nutrient Management Planning On Crop Yield, Nitrate Leaching And Sediment Loading In Thomas Brook Watershed", "description": "Government priorities on provincial Nutrient Management Planning (NMP) programs include improving the program effectiveness for environmental quality protection, and promoting more widespread adoption. Understanding the effect of NMP on both crop yield and key water-quality parameters in agricultural watersheds requires a comprehensive evaluation that takes into consideration important NMP attributes and location-specific farming conditions. This study applied the Soil and Water Assessment Tool (SWAT) to investigate the effects of crop and rotation sequence, tillage type, and nutrient N application rate on crop yield and the associated groundwater [Formula: see text] leaching and sediment loss. The SWAT model was applied to the Thomas Brook Watershed, located in the most intensively managed agricultural region of Nova Scotia, Canada. Cropping systems evaluated included seven fertilizer application rates and two tillage systems (i.e., conventional tillage and no-till). The analysis reflected cropping systems commonly managed by farmers in the Annapolis Valley region, including grain corn-based and potato-based cropping systems, and a vegetable-horticulture system. ANOVA models were developed and used to assess the effects of crop management choices on crop yield and two water-quality parameters (i.e., [Formula: see text] leaching and sediment loading). Results suggest that existing recommended N-fertilizer rate can be reduced by 10-25\u00a0%, for grain crop production, to significantly lower [Formula: see text] leaching (P\u00a0>\u00a00.05) while optimizing the crop yield. The analysis identified the nutrient N rates in combination with specific crops and rotation systems that can be used to manage [Formula: see text] leaching while balancing impacts on crop yields within the watershed.", "keywords": ["2. Zero hunger", "Analysis of Variance", "Conservation of Natural Resources", "Geologic Sediments", "Nitrates", "Agriculture", "04 agricultural and veterinary sciences", "Models", " Theoretical", "15. Life on land", "01 natural sciences", "6. Clean water", "Environmental Policy", "Nova Scotia", "13. Climate action", "Water Quality", "Humans", "0401 agriculture", " forestry", " and fisheries", "Fertilizers", "Groundwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s00267-013-0148-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00267-013-0148-z", "name": "item", "description": "10.1007/s00267-013-0148-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00267-013-0148-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-08-13T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2023.119500", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:27Z", "type": "Journal Article", "created": "2023-11-10", "title": "Water quality in a large complex catchment: Significant effects of land use and soil type but limited ability to detect trends", "description": "Globally, significant societal resources are devoted to mitigating negative effects of eutrophication from excessive phosphorus (P) and nitrogen (N) loading. Potential effectiveness of mitigation measures and possible confounding factors are often assessed using studies conducted in headwater catchments. However, success is often evaluated based on trends in river mouth water chemistry. It is not clear how transferrable insights from headwater catchments are to larger rivers. Here, relationships between P and suspended solids (SS) identified in small agricultural headwater catchments were applied to 30 larger, mixed land use catchments draining into M\u00e4laren, a Swedish great lake. Relationships identified in headwater streams between SS concentration, catchment agricultural land percentage and arable land clay content were corroborated for the larger catchments (R2\u00a0=\u00a00.59, p-value<0.001. The same was true for connections between SS and particulate P (R2\u00a0=\u00a00.74, p-value<0.001). This study highlights the importance of agricultural land, clay content and SS for P transport, on both smaller headwater as well as larger catchment scales, supporting the use of headwater findings on larger, management relevant scales. Consequently, these relationships should be used to target mitigation measures to reduce SS and P losses. To explore the effectiveness of mitigation measures on water quality, we assessed long-term (20 year) trends in tributary water quality and compared these trends to the amount of mitigation measures implemented in the catchment. Overall improving trends were detected using regional Mann Kendall tests, but few decreasing trends in nutrient concentrations were found for individual sites using Generalized Additive Models (GAM). The lack of significant trends and identifiable connections to amount of mitigation measures implemented could be due to several reasons, e.g. insufficient time for recently implemented measures to have an effect, ongoing release of legacy P as well as low areal coverage and poor spatial placement of implemented measures. In addition, trend detection requires large amounts of data and the results should be carefully interpreted and communicated.", "keywords": ["Environmental Sciences (social aspects to be 507)", "Agriculture", "Phosphorus", "Oceanography", " Hydrology", " Water Resources", "15. Life on land", "Oceanography", "6. Clean water", "Soil", "Lakes", "Rivers", "13. Climate action", "Water Quality", "Water Resources", "Clay", "Hydrology", "Environmental Monitoring"]}, "links": [{"href": "https://pub.epsilon.slu.se/32300/1/sandstr%C3%B6m-s-et-al-20231212.pdf"}, {"href": "https://doi.org/10.1016/j.jenvman.2023.119500"}, {"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.2023.119500", "name": "item", "description": "10.1016/j.jenvman.2023.119500", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2023.119500"}, {"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": "10.1007/s10661-023-11079-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:46Z", "type": "Journal Article", "created": "2023-03-25", "title": "Evaluating the impacts of sustainable land management practices on water quality in an agricultural catchment in Lower Austria using SWAT", "description": "Abstract

Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3\uffe2\uff80\uff93N), ammonium nitrogen (NH4\uffe2\uff80\uff93N), and mineralized phosphorus (PO4\uffe2\uff80\uff93P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC). The NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3\uffe2\uff80\uff93N and PO4\uffe2\uff80\uff93P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.

The United Nations Sustainable Development Goal 6 aims for clean water and sanitation for all by 2030, through eight subgoals dealing with four themes: (i) water quantity and availability, (ii) water quality, (iii) finding sustainable solutions and (iv) policy and governance. In this opinion paper, we assess how soils and associated land and water management can help achieve this goal, considering soils at two scales: local soil health and healthy landscapes. The merging of these two viewpoints shows the interlinked importance of the two scales. Soil health reflects the capacity of a soil to provide ecosystem services at a specific location, taking into account local climate and soil conditions. Soil is also an important component of a healthy and sustainable landscape, and they are connected by the water that flows through the soil and the transported sediments. Soils are linked to water in two ways: through plant-available water in the soil (green water) and through water in surface bodies or available as groundwater (blue water). In addition, water connects the soil scale and the landscape scale by flowing through both. Nature-based solutions at both soil health and landscape-scale can help achieve sustainable future development but need to be embedded in good governance, social acceptance and economic viability.

This article is part of the theme issue \u2018The role of soils in delivering Nature's Contributions to People\u2019.

", "keywords": ["Climate", "Sustainable Development Goals", "01 natural sciences", "12. Responsible consumption", "Soil", "Water Quality", "11. Sustainability", "SDG 6", "nature-based solutions", "Ecosystem", "SDG 3", "0105 earth and related environmental sciences", "2. Zero hunger", "SDG 17", "Conservation of Water Resources", "soil health", "1. No poverty", "04 agricultural and veterinary sciences", "15. Life on land", "SDG 12", "6. Clean water", "13. Climate action", "Sustainable Development Goal 6", "connectivity", "blue and green water", "0401 agriculture", " forestry", " and fisheries", "ecosystem services"]}, "links": [{"href": "https://doi.org/10.1098/rstb.2020.0175"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Philosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1098/rstb.2020.0175", "name": "item", "description": "10.1098/rstb.2020.0175", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1098/rstb.2020.0175"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-04T00:00:00Z"}}, {"id": "10.13031/2013.13599", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:13Z", "type": "Journal Article", "created": "2013-10-22", "title": "Effectiveness Of Vegetated Buffer Strips In Reducing Pesticide Transport In Simulated Runoff", "description": "Several processes take place within vegetated buffer strips that affect their performance. To better understand these processes, a runoff study was conducted to evaluate vegetated buffer strips performance in reducing atrazine, metolachlor, and chlorpyrifos transport as affected by the drainage area to buffer strip area ratio. The simulated runoff water mixed with pesticide\u2013treated soil was distributed onto six vegetated buffer strips, each 1.52 m wide . 20.12 m long, located downslope of the inflow distribution tank in a well established vegetated grassed waterway. These strips provided for three replications of two inflow rates designated as \u201cdrainage area/buffer strip area ratio treatments\u201d of 15:1 and 30:1. Infiltration for the 15:1 treatment averaged 38.8% of the inflow volume, whereas it averaged 30.4% for the 30:1 treatment. Sediment retention efficiencies averaged 90.1% and 86.8% for the 15:1 and 30:1 treatments, respectively. Concentrations of atrazine and metolachlor associated with sediment outflows from the strips were larger than their respective inflow concentrations, while the results were opposite for chlorpyrifos. Concentrations in runoff water for both atrazine and metolachlor in outflow from the strips were smaller than the inflow concentrations; again, the results were opposite for chlorpyrifos. The 15:1 treatment retained an average of 52.5% of the total input of atrazine, 54.4% of metolachlor, and 83.1% of chlorpyrifos. Corresponding numbers for the 30:1 treatment were 46.8% for atrazine, 48.1% for metolachlor, and 76.9% for chlorpyrifos. Analysis of variance using the randomized block design showed that differences of percent retention of pesticide between treatments were not significant for any of the three pesticides at the 10% significance level. A lack of significant difference indicates either a need for more than three replications and/or larger area ratio treatments to be studied. The results of this study indicate that a 30:1 area ratio buffer strip could perform equally as well as a 15:1 area ratio buffer strip. Thus, less land would be required under buffer strips to get the desired results.", "keywords": ["Bioresource and Agricultural Engineering", "Runoff", "Agriculture", "Buffer strips", "04 agricultural and veterinary sciences", "01 natural sciences", "Filter strips", "6. Clean water", "Metolachlor", "Pesticide", "Water quality", "0401 agriculture", " forestry", " and fisheries", "Atrazine", "Chlorpyrifos", "Herbicide", "Best management practices", "Insecticide", "Simulation", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Arora, Kapil, Mickelson, Steven, Baker, James,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.13031/2013.13599"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Transactions%20of%20the%20ASAE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.13031/2013.13599", "name": "item", "description": "10.13031/2013.13599", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.13031/2013.13599"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2003-01-01T00:00:00Z"}}, {"id": "10.13031/2013.27719", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:13Z", "type": "Journal Article", "created": "2013-10-22", "title": "Herbicide Retention By Vegetative Buffer Strips From Runoff Under Natural Rainfall", "description": "Effectiveness of vegetative buffer strips for herbicide retention from agricultural runoff was evaluated in a two-year natural rainfall study. A source area of 0.41 ha (mainly Canisteo silty clay loam soil), having an average slope of 3%, was fall chisel-plowed, spring disked, and planted to corn. Three herbicides (atrazine, metolachlor, and cyanazine) were applied to the source area in each spring. Six vegetative buffer strips, 1.52 m wide \u00a5 20.12 m long, were isolated with metal borders downslope of the source area in a well established bromegrass (Bromus inermis) waterway. These strips provided for three replications of two drainage to buffer area ratio treatments of 15:1 and 30:1. Herbicide retention was dependent on the antecedent moisture conditions of the strips. These retentions ranged from 11 to 100% for atrazine, 16 to 100% for metolachlor, and 8 to 100% for cyanazine. Herbicide retention by the buffer strips for the two treatments were not significantly different for the observed storm events. Herbicide concentrations in solution in outflow from the strips were less than the inflow concentrations for all the three herbicides. Infiltration was the key process for herbicide retention by the buffer strips, although there was some adsorption to in-place soil and/or vegetation. Metolachlor concentrations in sediment increased in outflow for the two treatments; however, the opposite was true for atrazine and cyanazine. Herbicide retention by sediment deposition in the strip represented about 5% of the total herbicide retention by the buffer strips. The buffer strips were found to have high percent sediment retention, ranging from 40 to 100%; thus, the strips would be more effective for retaining strongly adsorbed herbicides.", "keywords": ["2. Zero hunger", "Bioresource and Agricultural Engineering", "Runoff", "Management practices", "Agriculture", "Buffer strips", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Filter strips", "630", "6. Clean water", "Water quality", "0401 agriculture", " forestry", " and fisheries", "Herbicide", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Arora, Kapil, Mickelson, Steven, Baker, James, Tierney, Dennis, Peters, C.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.13031/2013.27719"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Transactions%20of%20the%20ASAE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.13031/2013.27719", "name": "item", "description": "10.13031/2013.27719", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.13031/2013.27719"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1996-01-01T00:00:00Z"}}, {"id": "10.21203/rs.3.rs-1189645/v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:48Z", "type": "Journal Article", "created": "2022-01-25", "title": "Importance of Water Level Management for Peatland Outflow Water Quality in the Face of Climate Change and Drought", "description": "Abstract

The impact of different climate scenarios, drought, and water level management on the outflow water quality of peatlands has been investigated. A mesocosm experiment has been conducted within climate control chambers to simulate current (2016\u20132019 real-time) and future representative concentration pathway (RCP) climate scenarios (RCP 2.6, 4.5 and 8.5) for the peatland mesocosms. To assess the efficiency of a management strategy for improving peatland water quality, water level adjustment was applied to half of the system at the same time for each climate scenario. Furthermore, the mesocosm experienced the 2018 European drought during the simulation years, and the corresponding impact was analyzed. The results of this study indicated that the effect of water level but not climate change on the water quality of peatland mesocosms was significant. The effect of water level management was the largest for ammonium (NH4-N) and five-day biochemical oxygen demand (BOD5), and the smallest for total phosphorus (TP). Drought had a strong impact on chemical variables, increasing their concentration and deteriorating the water quality of peatland outflow. The results highlight the need for water level management in stabilizing nutrient levels in peatland outflows, especially for the warmer climate scenarios to mitigate the negative consequences of global warming.

", "keywords": ["Climate Change", "Phosphorus", "15. Life on land", "01 natural sciences", "Carbon", "6. Clean water", "Droughts", "Oxygen", "Soil", "13. Climate action", "Water Quality", "Ammonium Compounds", "14. Life underwater", "Research Article", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://usir.salford.ac.uk/id/eprint/64166/1/Salimi-Scholz2022_Article_ImportanceOfWaterLevelManageme.pdf"}, {"href": "https://doi.org/10.21203/rs.3.rs-1189645/v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20and%20Pollution%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.21203/rs.3.rs-1189645/v1", "name": "item", "description": "10.21203/rs.3.rs-1189645/v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.21203/rs.3.rs-1189645/v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-25T00:00:00Z"}}, {"id": "10.2166/wp.2023.057", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:14Z", "type": "Journal Article", "created": "2023-06-09", "title": "Defining sustainability in agricultural water management using a Delphi survey technique", "description": "Abstract

Sustainable water management measures are being developed to address the challenges posed by agriculture runoff and leaching on water resources. These measures are based on experts' opinions from various sectors and disciplines, ensuring that all stakeholders' perspectives are considered. For this, establishing a common understanding of 'sustainability' is essential to avoid misunderstandings, conflicts, and operational challenges. In this research, the Delphi survey technique was utilized to develop a definition of \uffe2\uff80\uff98sustainability\uffe2\uff80\uff99 in agricultural water management (SAWM) by considering the interdisciplinary group of experts from different parts of the world and those involved in a Horizon 2020 Research and Innovation Action. Twenty-six experts' perspectives on environmental, economic, and social dimensions of sustainability were assessed, and identified key concepts included climate change, water quality, water availability, stakeholder participation, capacity building, subsidies, and incentives. These concepts were used to define sustainability for multi/interdisciplinary project settings. The definition was validated with consortium members of the project in the regular consortium-wide meetings and used in the respective deliverables dealing with sustainability. The results serve as a foundation for communication between the involved actors and the project's definition of 'sustainability.' One recommendation from this work for broader policy formulation for SAWM in Europe is to prioritize farmer needs and focus on environmental sustainability.The intensive use of soil and water resources results in a disbalance between the environmental and economic objectives of the river basin. The water quality management model supports good water status, especially downstream of dams and reservoirs, as in the case of the Sutla/Sotla river basin. This research aims to develop a new, improved integrated water quality management model of rural transboundary basins to achieve environmental objectives and protection of the Natura 2000 sites. The model uses river basin pressure analysis to assess the effects of climate and hydrological extreme impacts, and a programme of basic and supplementary measures. The impact assessment of BASE MODEL, PAST, and FUTURE scenarios was modelled using the soil and water assessment tool (SWAT) based on land use, climate and hydrological data, climate change, presence or lack of a reservoir, and municipal wastewater and agriculture measures. Eight future climate change scenarios were obtained with optimistic (RCP4.5) and pessimistic (RCP8.5) forecasts for two periods (2020\uffe2\uff80\uff932050 and 2070\uffe2\uff80\uff932100), both with and without a reservoir. The model shows that the most significant impacts on the waterbody come from the nutrients and sediment hotspots, also shows the risk of not achieving good water status, and water eutrophication risk. The modelled average annual increase in sediment is from 4 to 25% and in total N from 1 to 8%, while the change in total P is from \uffe2\uff88\uff925 to 6%. The conducted analysis provides a base for the selection of tailor-made measures from the catalogue of the supplementary measures that will be outlined in future research.

", "keywords": ["environmental objectives WFD", "integrated water quality management model", "environmental objectives WFD ; integrated water quality management model ; good water status ; rural transboundary river basin ; Sutla/Sotla ; climate change ; scenarios ; SWAT ; measures", "rural transboundary river basin", "01 natural sciences", "11. Sustainability", "hidrologija", "SWAT", "14. Life underwater", "kakovost voda", "0105 earth and related environmental sciences", "vodotoki", "2. Zero hunger", "scenarios", "measures", "environmental objectives WFD; integrated water quality management model; good water status; rural transboundary river basin; Sutla/Sotla; climate change; scenarios; SWAT; measures", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Sotla", "climate change", "info:eu-repo/classification/udc/556", "13. Climate action", "vodni mened\u017ement", "Sutla/Sotla", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "good water status"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://doi.org/10.3390/w13182569"}, {"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/w13182569", "name": "item", "description": "10.3390/w13182569", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w13182569"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-17T00:00:00Z"}}, {"id": "10.3390/environsciproc2022021014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:40Z", "type": "Journal Article", "created": "2022-10-20", "title": "Significance of Hydromorphological and Sediment Analysis in River Basin Water Quality Management", "description": "The hydromorphology and sediment management, as part of the integrated water management and achieving environmental objectives of the river basin in accordance with the WFD, are presented in the case study of the transboundary rural River Basin Sutla. Sutla is the border river between the Republic of Slovenia and the Republic of Croatia, with a catchment area of 590.6 km2. The proposed sediment management methodology is based on the surface water bodies\u2019 assessment of water quality status, from the surveillance monitoring, and the impact assessment of the point and diffuse pollution sources in the river basin by the mathematical model SWAT.", "keywords": ["EU WFD environmental objectives ; water status ; water quality management ; hydromorphology ; sediment", "0106 biological sciences", "upravljanje z vodami", "15. Life on land", "01 natural sciences", "6. Clean water", "hidromorfologija", "hydromorphology", "Environmental sciences", "kakovosti voda", "EU WFD environmental objectives", "info:eu-repo/classification/udc/556", "sediment", "water status", "13. Climate action", "stanje voda", "hidrologija", "sedimenti", "water quality management", "GE1-350", "14. Life underwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2673-4931/21/1/14/pdf"}, {"href": "https://doi.org/10.3390/environsciproc2022021014"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/EWaS5%20International%20Conference%3A%20%26amp%3Bldquo%3BWater%20Security%20and%20Safety%20Management%3A%20Emerging%20Threats%20or%20New%20Challenges%3F%20Moving%20from%20Therapy%20and%20Restoration%20to%20Prognosis%20and%20Prevention%26amp%3Brdquo%3B", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/environsciproc2022021014", "name": "item", "description": "10.3390/environsciproc2022021014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/environsciproc2022021014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-19T00:00:00Z"}}, {"id": "10.3390/w11020302", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:54Z", "type": "Journal Article", "created": "2019-02-12", "title": "Water Quality Changes during Riverbank Filtration in Budapest, Hungary", "description": "

The paper gives an overview on the changes in water quality during riverbank filtration (RBF) in Budapest. As water from the Danube River is of high quality, no problems occur during regular operation of RBF systems. Additionally, water quality improved through the past three decades due to the implementation of communal wastewater treatment plants and the decline of extensive use of artificial fertilizers in agriculture. Algae counts are used as tracer indicators to identify input of surface water into wells and to make decisions regarding shutdowns during floods. RBF systems have a high buffering capacity and resistance against accidental spills of contaminants in the river, which was proven during the red mud spill in October 2010. The removal rate of microorganisms was between 1.5 log and 3.5 log efficiency and is in the same order as for other RBF sites worldwide.

", "keywords": ["riverbank filtration", "nitrate", "13. Climate action", "organic carbon", "11. Sustainability", "14. Life underwater", "heavy metals", "microorganisms", "water quality", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/11/2/302/pdf"}, {"href": "https://doi.org/10.3390/w11020302"}, {"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/w11020302", "name": "item", "description": "10.3390/w11020302", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w11020302"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-11T00:00:00Z"}}, {"id": "10.3390/w15040694", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:54Z", "type": "Journal Article", "created": "2023-02-10", "title": "Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study", "description": "

Agriculture has significantly aided in meeting the food needs of growing population. In addition, it has boosted economic development in irrigated regions. In this study, an assessment of the groundwater (GW) quality for agricultural land was carried out in El Kharga Oasis, Western Desert of Egypt. Several irrigation water quality indices (IWQIs) and geographic information systems (GIS) were used for the modeling development. Two machine learning (ML) models (i.e., adaptive neuro-fuzzy inference system (ANFIS) and support vector machine (SVM)) were developed for the prediction of eight IWQIs, including the irrigation water quality index (IWQI), sodium adsorption ratio (SAR), soluble sodium percentage (SSP), potential salinity (PS), residual sodium carbonate index (RSC), and Kelley index (KI). The physicochemical parameters included T\u00b0, pH, EC, TDS, K+, Na+, Mg2+, Ca2+, Cl\u2212, SO42\u2212, HCO3\u2212, CO32\u2212, and NO3\u2212, and they were measured in 140 GW wells. The hydrochemical facies of the GW resources were of Ca-Mg-SO4, mixed Ca-Mg-Cl-SO4, Na-Cl, Ca-Mg-HCO3, and mixed Na-Ca-HCO3 types, which revealed silicate weathering, dissolution of gypsum/calcite/dolomite/ halite, rock\u2013water interactions, and reverse ion exchange processes. The IWQI, SAR, KI, and PS showed that the majority of the GW samples were categorized for irrigation purposes into no restriction (67.85%), excellent (100%), good (57.85%), and excellent to good (65.71%), respectively. Moreover, the majority of the selected samples were categorized as excellent to good and safe for irrigation according to the SSP and RSC. The performance of the simulation models was evaluated based on several prediction skills criteria, which revealed that the ANFIS model and SVM model were capable of simulating the IWQIs with reasonable accuracy for both training \u201cdetermination coefficient (R2)\u201d (R2 = 0.99 and 0.97) and testing (R2 = 0.97 and 0.76). The presented models\u2019 promising accuracy illustrates their potential for use in IWQI prediction. The findings indicate the potential for ML methods of geographically dispersed hydrogeochemical data, such as ANFIS and SVM, to be used for assessing the GW quality for irrigation. The proposed methodological approach offers a useful tool for identifying the crucial hydrogeochemical components for GW evolution assessment and mitigation measures related to GW management in arid and semi-arid environments.

", "keywords": ["2. Zero hunger", "machine learning", "groundwater quality", "hydrogeochemistry", "water quality indices", "710", "14. Life underwater", "15. Life on land", "01 natural sciences", "irrigation", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/4/694/pdf"}, {"href": "https://www.mdpi.com/2073-4441/15/4/694/pdf"}, {"href": "https://research.usq.edu.au/download/1c0f24478d75e81d1b30c7d2ef129cd978901a29587ebd125c32afb1fbbe09b0/16662935/Evaluation%20and%20Prediction%20of%20Groundwater%20Quality.pdf"}, {"href": "https://doi.org/10.3390/w15040694"}, {"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/w15040694", "name": "item", "description": "10.3390/w15040694", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w15040694"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-10T00:00:00Z"}}, {"id": "10.5061/dryad.sq72d", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:18Z", "type": "Dataset", "title": "Data from: Multiple stressors and the cause of amphibian abnormalities", "description": "unspecifiedThe repeated occurrence of abnormal amphibians in nature points to ecological imbalance, yet identifying causes of these abnormalities has proved complex. Multiple studies have linked amphibian abnormalities to chemically contaminated areas, but inference about causal mechanisms is lacking. Here we use a high incidence of abnormalities in Alaskan wood frogs to strengthen inference about the mechanism for these abnormalities. We suggest that limb abnormalities are caused by a combination of multiple stressors. Specifically, toxicants lead to increased predation, resulting in more injuries to developing limbs and subsequent developmental malformations. We evaluated a variety of putative causes of frog abnormalities at 21 wetlands on the Kenai National Wildlife Refuge, south-central Alaska, USA, between 2004 and 2006. Variables investigated were organic and inorganic contaminants, parasite infection, abundance of predatory invertebrates, UVB, and temperature. Logistic regression and model comparison using the Akaike information criterion (AIC) identified dragonflies and both organic and inorganic contaminants as predictors of the frequency of skeletal abnormalities. We suggest that both predators and contaminants alter ecosystem dynamics to increase the frequency of amphibian abnormalities in contaminated habitat. Future experiments should test the causal mechanisms by which toxicants and predators may interact to cause amphibian limb abnormalities.", "keywords": ["Lithobates sylvaticus", "metal", "Annelida", "lentic", "DOC", "2000-2012", "present", "Hemiptera", "Arachnida", "Amphipoda", "14. Life underwater", "Invertebrate", "Ephemeroptera", "Branchiopoda", "disease", "Trichoptera", "Diptera", "abnormality", "anion", "15. Life on land", "6. Clean water", "wetland", "frog", "malformation", "Water quality", "2010-2012", "amphibian"], "contacts": [{"organization": "Reeves, Mari K., Perdue, Margaret, Holyoak, Marcel, Hagedorn, Birgit, Rinella, Daniel, Bogan, Daniel, Munk, LeeAnn, Battaglin, William, Dolph, Christine L., Trust, Kimberly A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.sq72d"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.sq72d", "name": "item", "description": "10.5061/dryad.sq72d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.sq72d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-09-29T00:00:00Z"}}, {"id": "10.5281/zenodo.10888463", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:51Z", "type": "Dataset", "title": "Urban Riparian Wetland Water Quality Dataset_Stormwater Capture in Beaver-mediated Wetlands along Walnut Creek, Raleigh, North Carolina, USA", "description": "This is the initial release of a\u00a0water quality\u00a0dataset pertaining to the\u00a0riparian floodplain wetlands\u00a0alongside Walnut Creek in Raleigh, North Carolina USA.\u00a0 Walnut Creek is the main drainage channel in an\u00a0urbanized watershed\u00a0(HUC-12: 030202011101) in central North Carolina.\u00a0 There are several riparian floodplain wetlands along the creek which are largely supplied by\u00a0urban stormwater\u00a0runoff including directed\u00a0storm sewer flows\u00a0and regular\u00a0overbank flooding\u00a0events. In many of these wetlands local water retention and residence time in the surface ponds is mediated by the damming activity of\u00a0North American beavers (Castor canadensis).\u00a0 This dataset contains data specific to the water quality values of Walnut Creek, its tributary Little Rock Creek, and the surface ponds and groundwater at the\u00a0Walnut Creek Wetland Park\u00a0which is actively influenced by resident beavers.\u00a0 The period of this dataset is from\u00a0January 5, 2023 through October 28, 2023.\u00a0 This dataset includes a variety of common water quality parameters measured in situ by use of a YSI Pro water quality meter, as well as dissolved nutrient values determined by laboratory analysis of collected water samples.\u00a0 YSI data was collected on a weekly basis and water samples were collected for laboratory analysis on a monthly basis. Additional measurements and collection took place during six large rainfall events to allow comparison between baseflow and stormflow conditions across the site.\u00a0 This dataset aims to provide a comprehensive look at the water quality of Walnut Creek in comparison with the surface ponds and groundwater in the Walnut Creek Wetland Park, which are all ultimately sourced from urban stormwater runoff. This water quality dataset is intended to accompany the separate hydrology dataset published on Zenodo at URL: https://doi.org/10.5281/zenodo.10709630. Together, these datasets are meant to support an improved understanding of the water availability and water quality found in connection with beaver-mediated stormwater capture in an urbanized watershed in the North Carolina Piedmont. \u00a0This dataset resulted from research supported with a Graduate Student Research Grant awarded by the\u00a0North Carolina Water Resources Research Institute (WRRI), under Project Number 23-10-W: 'Stormwater Diversion, Storage, and Treatment by Beaver-enhanced Floodplain Wetlands in Piedmont Urban Watersheds'. \u00a0 This material is based upon work supported by the\u00a0National Science Foundation (NSF)\u00a0Graduate Research Fellowship Program (GRFP) under Grant No. (DGE 2137100). Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the National Science Foundation. Special thanks to\u00a0Raleigh Parks\u00a0and\u00a0Walnut Creek Wetland Park\u00a0for making this work possible. Laboratory analysis support for evaluation of dissolved nutrients (nitrate+nitrite, TKN, total phosphorus, and total organic carbon) was provided by the NC State Environmental and Agricultural Testing Services (EATS) laboratory, Department of Crop and Soil Sciences. \u00a0Additional laboratory analysis support for evaluation of dissolved nutrients (TKN and total phosphorus) was provided by the NC State Environmental Analysis Laboratory (EAL), Department of Biological and Agricultural Engineering (BAE). \u00a0Usage of and technical support for the YSI Pro water quality meter used in this study was made possible by the Osburn Lab, Department of Marine, Earth and Atmospheric Sciences (MEAS), NC State University.", "keywords": ["beaver", "Piedmont", "Castor canadensis", "stormwater", "urbanization", "water quality", "wetlands"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10888463"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10888463", "name": "item", "description": "10.5281/zenodo.10888463", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10888463"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-27T00:00:00Z"}}, {"id": "10.5281/zenodo.14027088", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:10Z", "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": "10.5281/zenodo.14764568", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:23Z", "type": "Other", "title": "Deliverable 2.3 - Supplementary material : Model input files for the Danube catchment modelling", "description": "This model is part of the toolbox built within the framework of the PROMISCES project (Deliverable D2.3). It contains input files for the catchment model for the Danube developped, results are presented in the deliverable D2.3. Contents of the zip-file: delwaq: Input files and batch files to run the model calculations. The batch file runallpfas.bat takes care of the whole suite of calculations. These consist of: Preparation of the emissions from the various sources in the catchment - on a per substance basis. Calculating the concentration patterns via the results of the hydrological model. Output in the form of human-readable files and netCDF files for easy visualisation. EM: Hydrological model results for the 'emissions' step. substancedata: Substance-specific data for various PFAS's and other PMT compounds wflow_danube_flow: Hydrological model schematisation for the Danube catchment.\u00a0 Input for the wflow hydrological model. WQ: Hydrological model results for the 'water quality' step.", "keywords": ["Water quality", "Emissions", "PFAS", "Catchment", "Modelling"], "contacts": [{"organization": "van Gils, Jos, Meijers, Erwin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14764568"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14764568", "name": "item", "description": "10.5281/zenodo.14764568", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14764568"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-29T00:00:00Z"}}, {"id": "10.5281/zenodo.14764569", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:23Z", "type": "Other", "title": "Deliverable 2.3 - Supplementary material : Model input files for the Danube catchment modelling", "description": "This model is part of the toolbox built within the framework of the PROMISCES project (Deliverable D2.3). It contains input files for the catchment model for the Danube developped, results are presented in the deliverable D2.3. Contents of the zip-file: delwaq: Input files and batch files to run the model calculations. The batch file runallpfas.bat takes care of the whole suite of calculations. These consist of: Preparation of the emissions from the various sources in the catchment - on a per substance basis. Calculating the concentration patterns via the results of the hydrological model. Output in the form of human-readable files and netCDF files for easy visualisation. EM: Hydrological model results for the 'emissions' step. substancedata: Substance-specific data for various PFAS's and other PMT compounds wflow_danube_flow: Hydrological model schematisation for the Danube catchment.\u00a0 Input for the wflow hydrological model. WQ: Hydrological model results for the 'water quality' step.", "keywords": ["Water quality", "Emissions", "PFAS", "Catchment", "Modelling"], "contacts": [{"organization": "van Gils, Jos, Meijers, Erwin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14764569"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14764569", "name": "item", "description": "10.5281/zenodo.14764569", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14764569"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-29T00:00:00Z"}}, {"id": "10.5281/zenodo.15827808", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:48Z", "type": "Journal Article", "created": "2023-02-10", "title": "Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study", "description": "

Agriculture has significantly aided in meeting the food needs of growing population. In addition, it has boosted economic development in irrigated regions. In this study, an assessment of the groundwater (GW) quality for agricultural land was carried out in El Kharga Oasis, Western Desert of Egypt. Several irrigation water quality indices (IWQIs) and geographic information systems (GIS) were used for the modeling development. Two machine learning (ML) models (i.e., adaptive neuro-fuzzy inference system (ANFIS) and support vector machine (SVM)) were developed for the prediction of eight IWQIs, including the irrigation water quality index (IWQI), sodium adsorption ratio (SAR), soluble sodium percentage (SSP), potential salinity (PS), residual sodium carbonate index (RSC), and Kelley index (KI). The physicochemical parameters included T\u00b0, pH, EC, TDS, K+, Na+, Mg2+, Ca2+, Cl\u2212, SO42\u2212, HCO3\u2212, CO32\u2212, and NO3\u2212, and they were measured in 140 GW wells. The hydrochemical facies of the GW resources were of Ca-Mg-SO4, mixed Ca-Mg-Cl-SO4, Na-Cl, Ca-Mg-HCO3, and mixed Na-Ca-HCO3 types, which revealed silicate weathering, dissolution of gypsum/calcite/dolomite/ halite, rock\u2013water interactions, and reverse ion exchange processes. The IWQI, SAR, KI, and PS showed that the majority of the GW samples were categorized for irrigation purposes into no restriction (67.85%), excellent (100%), good (57.85%), and excellent to good (65.71%), respectively. Moreover, the majority of the selected samples were categorized as excellent to good and safe for irrigation according to the SSP and RSC. The performance of the simulation models was evaluated based on several prediction skills criteria, which revealed that the ANFIS model and SVM model were capable of simulating the IWQIs with reasonable accuracy for both training \u201cdetermination coefficient (R2)\u201d (R2 = 0.99 and 0.97) and testing (R2 = 0.97 and 0.76). The presented models\u2019 promising accuracy illustrates their potential for use in IWQI prediction. The findings indicate the potential for ML methods of geographically dispersed hydrogeochemical data, such as ANFIS and SVM, to be used for assessing the GW quality for irrigation. The proposed methodological approach offers a useful tool for identifying the crucial hydrogeochemical components for GW evolution assessment and mitigation measures related to GW management in arid and semi-arid environments.

", "keywords": ["2. Zero hunger", "machine learning", "groundwater quality", "hydrogeochemistry", "water quality indices", "710", "14. Life underwater", "15. Life on land", "01 natural sciences", "irrigation", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/4/694/pdf"}, {"href": "https://www.mdpi.com/2073-4441/15/4/694/pdf"}, {"href": "https://research.usq.edu.au/download/1c0f24478d75e81d1b30c7d2ef129cd978901a29587ebd125c32afb1fbbe09b0/16662935/Evaluation%20and%20Prediction%20of%20Groundwater%20Quality.pdf"}, {"href": "https://doi.org/10.5281/zenodo.15827808"}, {"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": "10.5281/zenodo.15827808", "name": "item", "description": "10.5281/zenodo.15827808", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15827808"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-10T00:00:00Z"}}, {"id": "10.5281/zenodo.14975038", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-24T16:22:10Z", "type": "Dataset", "title": "WATERAGRI Wetlands experimental data", "description": "Water quality data from a constructed wetland in southern Sweden. Monthly samples from June 2021 - November 2022.", "keywords": ["Water quality"], "contacts": [{"organization": "Larsson, Rolf", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14975038"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14975038", "name": "item", "description": "10.5281/zenodo.14975038", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14975038"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-05T00:00:00Z"}}, {"id": "10.5281/zenodo.14975039", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-24T16:22:10Z", "type": "Dataset", "title": "WATERAGRI Wetlands experimental data", "description": "Water quality data from a constructed wetland in southern Sweden. Monthly samples from June 2021 - November 2022.", "keywords": ["Water quality"], "contacts": [{"organization": "Larsson, Rolf", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14975039"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14975039", "name": "item", "description": "10.5281/zenodo.14975039", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14975039"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-05T00:00:00Z"}}, {"id": "10.5281/zenodo.15474678", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:37Z", "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": "10.5281/zenodo.6572473", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:08Z", "type": "Report", "title": "Micro Raman analysis of micro and nanoplastics in drinking water: from number to mass", "description": "Works focusing on micro- and nanoplastics analysis in drinking water by means of Raman microscopy have been raising in recent years, however a standardised protocol is still lacking. Moreover, at the best of our knowledge, no paper among them proposed a reliable way to calculating the particles masses. The current research aims to fill this gap by presenting a new analytical method employing Raman microscopy, applied to drinking water samples from a Danish facility. This work supports the above mentioned view and offers a comprehensive application of such principles, with the authors stressing the pivotal role of method validation when dealing with micro- and nanoplastics analysis.", "keywords": ["microplastics", "Raman microscopy", "drinking water", "water quality", "6. Clean water", "nanoplastics"], "contacts": [{"organization": "Luca Maurizi, Lucian Iordachescu, Inga Vanessa Kirstein, Jes Vollertsen, Asbj\u00f8rn Haaning Nielsen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6572473"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6572473", "name": "item", "description": "10.5281/zenodo.6572473", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6572473"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-23T00:00:00Z"}}, {"id": "10.5281/zenodo.6572474", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:08Z", "type": "Report", "title": "Micro Raman analysis of micro and nanoplastics in drinking water: from number to mass", "description": "Works focusing on micro- and nanoplastics analysis in drinking water by means of Raman microscopy have been raising in recent years, however a standardised protocol is still lacking. Moreover, at the best of our knowledge, no paper among them proposed a reliable way to calculating the particles masses. The current research aims to fill this gap by presenting a new analytical method employing Raman microscopy, applied to drinking water samples from a Danish facility. This work supports the above mentioned view and offers a comprehensive application of such principles, with the authors stressing the pivotal role of method validation when dealing with micro- and nanoplastics analysis.", "keywords": ["microplastics", "Raman microscopy", "drinking water", "water quality", "6. Clean water", "nanoplastics"], "contacts": [{"organization": "Luca Maurizi, Lucian Iordachescu, Inga Vanessa Kirstein, Jes Vollertsen, Asbj\u00f8rn Haaning Nielsen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6572474"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6572474", "name": "item", "description": "10.5281/zenodo.6572474", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6572474"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-23T00:00:00Z"}}, {"id": "10.5281/zenodo.6463925", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:08Z", "type": "Dataset", "title": "The true colour of water at Upper Penticton Creek -- data and scripts", "description": "These files contain data and scripts used in the analysis for an article titled ' Streamwater colour in snow-dominated headwater catchments: natural variability and the effects of forest harvesting,' by R.D. Moore, R.D. Winkler and G.D. Hope, to be published in Hydrological Processes. The file upc_water_colour.csv contains the colour data as expressed in true colour units (TCU). The first line is a comment that should be skipped, noting that entries of 'creek dry' have been manually edited out of this version of the data. All other editing was performed in the script named 0_wrangle_data.r. The columns are as follows: Year - year of observation as four-digit value (e.g., 2005) Date - date as dd-Mmm (e.g., 15-May) Day - day of year (e.g., 1-Jan = 1) Cut241 - cumulative area harvested in 241 Creek as a percentage of catchment area Cut242 - cumulative area harvested in 241 Creek as a percentage of catchment area wc_240 - water colour (TCU) in 240 Creek wc_241 - water colour (TCU) in 241 Creek wc_242 - water colour (TCU) in 242 Creek The scripts are numbered in the order of dependency. For example, a script beginning 0_ should be run before running a script beginning 1_. The scripts are set up to be run within an R project on the local hard drive. The project directory should contain a folder named data that contains upc_water_colour.csv. All other data sets are accessed programmatically within the scripts. Brief descriptions of the scripts follow: 0_wrangle_data.r - Uses functions in the tidyhydat package to access streamflow data; corrects some erroneous entries for the water colour data; merges streamflow and colour data sets for further analysis. 0_wrangle_spatial_data.r - Accesses digital elevation models (DEMs) catchment boundaries and soil map from the Upper Penticton Creek data repository (zenodo); computes various topographic indices from the DEMS; saves processed files on the local hard drive in a folder named dem, located within the project root folder. 1_soil_maps.r - Generates a map of the gleyed soil units (Figure 2). 1_q_pca_trimonthly.r - Performs a paired-catchment analysis of the streamflow response to logging using a tri-monthly time step; generates plots of observed and predicted streamflow for 241 and 242 Creeks (Figure 3). 1_wc_analysis_post_140.r - Analyses water colour variations and response to logging; generates figures used in the article; analysis focuses on days 145 and on each year due to lack of data for earlier dates in the pre-harvest period. 1_catchment_characteristics.r - Computes topographic indices for each catchment and generates a table (Table 1) that contains a summary of catchment characteristics. ch_saga_functions.r - Contains functions that use RSAGA package to process the digital elevation models to remove sinks and calculate contributing area grids.", "keywords": ["paired-catchment experiment", "snowmelt", "forestry", "streamflow", "true colour", "15. Life on land", "water quality", "dissolved organic carbon", "headwater", "6. Clean water"], "contacts": [{"organization": "Moore, R.D.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6463925"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6463925", "name": "item", "description": "10.5281/zenodo.6463925", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6463925"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-15T00:00:00Z"}}, {"id": "10.5281/zenodo.7052807", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:13Z", "type": "Report", "title": "Assessment of local conditions important for NSWRM implementation. Deliverable D4.1 of the EU Horizon 2020 project OPTAIN.", "description": "Deliverable report D4.1 of the EU Horizon 2020 Project OPTAIN (Grant agreement No. 862756) Description of the local conditions in case study areas important for NSWRM implementation. Summary The OPTAIN project aims to identify efficient measures for the retention and reuse of water and nutrients (NSWRM - Natural/Small Water Retention Measures) in small agricultural catchments based on empirical data and scale-adapted integrated modelling approaches. Task 4.1 of the project focused on the analysis of local conditions that are important for model implementation of NSWRM and scenario design. This deliverable reports about the activities of task 4.1, which were completed in three steps: 1) issue identification, 2) possible measure selection and 3) analysis of the possibility of model implementation. Each lead of an OPTAIN case study identified and analysed its major case-study specific issues, and determined the needs for water retention within the catchment based on a questionnaire, public European wide datasets as well as local national datasets (if available). Moreover, the need for water quality improvement has been summarized and the existing yield gap was analysed. The leads of task 4.1 developed a detailed questionnaire which served a dual purpose: 1) the questions and the given answers provided a data/requirement screening, and 2) case study leads and the OPTAIN project consortium gained knowledge and an overview of the local conditions that are important to consider when developing a hydrological and water quality model and analysing the scenario results. Based on the questionnaire results, a preliminary overview about NSWRM implementation in OPTAINs model setups was derived. The final result of this analysis is presented as a matrix, where measure implementation possibility in each case study is assessed. Due to the foreseen data demanding modelling tasks of the OPTAIN project, the final selection of the modelled measures might differ, as new data sources are identified or new measurements are gathered.", "keywords": ["NSWRM", "scenarios", "H2020", "OPTAIN", "drought", "15. Life on land", "flood", "water quality", "6. Clean water", "12. Responsible consumption", "13. Climate action", "11. Sustainability", "food production", "water retention"], "contacts": [{"organization": "\u010cerkasova, Natalja, Idzelyt\u0117, Rasa,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7052807"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7052807", "name": "item", "description": "10.5281/zenodo.7052807", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7052807"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-30T00:00:00Z"}}, {"id": "10256/20664", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:15Z", "type": "Journal Article", "created": "2021-08-07", "title": "Groundwater antibiotic pollution and its relationship with dissolved organic matter: Identification and environmental implications", "description": "The occurrence of veterinary antibiotics and hydro-chemical parameters in eleven natural springs in a livestock production area is evaluated, jointly with the characterization of their DOM fingerprint by Orbitrap HRMS. Tetracycline and sulfonamide antibiotics were ubiquitous in all sites, and they were detected at low ng L-1 concentrations, except for doxycycline, that was present at \u03bcg L-1 in one location. DOM analysis revealed that most molecular formulas were CHO compounds (49 %-68\u00a0%), with a remarkable percentage containing nitrogen and sulphur (16 %-23\u00a0% and 11 %-24\u00a0%, respectively). Major DOM components were phenolic and highly unsaturated compounds (~90\u00a0%), typical for soil-derived organic matter, while approximately 11\u00a0% were unsaturated aliphatic, suggesting that springs may be susceptible to anthropogenic contamination sources. Comparing the DOM fingerprint among sites, the spring showing the most different profile was the one with surface water interaction and characterized by having lower CHO and higher CHOS formulas and aliphatic compounds. Correlations between antibiotics and DOM showed that tetracyclines positively correlate with unsaturated oxygen-rich substances, while sulfonamides relate with aliphatic and unsaturated oxygen-poor compounds. This indicates that the fate of different antibiotics will be controlled by the type of DOM present in groundwater.", "keywords": ["High-resolution mass spectrometry", "550", "Contaminants emergents en l'aigua", "Antibi\u00f2tics", "02 engineering and technology", "01 natural sciences", "630", "Soil", "Antibiotics", "Groundwater -- Pollution", "Co-transport", "Dissolved organic matter", "Groundwater", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Emerging contaminants in water", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Anti-Bacterial Agents", "Water quality", "13. Climate action", "Aig\u00fces subterr\u00e0nies -- Contaminaci\u00f3", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "0210 nano-technology", "environment", "Water Pollutants", " Chemical", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10256/20664"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10256/20664", "name": "item", "description": "10256/20664", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10256/20664"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "1959.13/1492918", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:52Z", "type": "Journal Article", "created": "2021-08-08", "title": "The role of soils in regulation and provision of blue and green water", "description": "

The United Nations Sustainable Development Goal 6 aims for clean water and sanitation for all by 2030, through eight subgoals dealing with four themes: (i) water quantity and availability, (ii) water quality, (iii) finding sustainable solutions and (iv) policy and governance. In this opinion paper, we assess how soils and associated land and water management can help achieve this goal, considering soils at two scales: local soil health and healthy landscapes. The merging of these two viewpoints shows the interlinked importance of the two scales. Soil health reflects the capacity of a soil to provide ecosystem services at a specific location, taking into account local climate and soil conditions. Soil is also an important component of a healthy and sustainable landscape, and they are connected by the water that flows through the soil and the transported sediments. Soils are linked to water in two ways: through plant-available water in the soil (green water) and through water in surface bodies or available as groundwater (blue water). In addition, water connects the soil scale and the landscape scale by flowing through both. Nature-based solutions at both soil health and landscape-scale can help achieve sustainable future development but need to be embedded in good governance, social acceptance and economic viability.

This article is part of the theme issue \u2018The role of soils in delivering Nature's Contributions to People\u2019.

", "keywords": ["Climate", "Sustainable Development Goals", "01 natural sciences", "12. Responsible consumption", "Soil", "Water Quality", "11. Sustainability", "SDG 6", "nature-based solutions", "Ecosystem", "SDG 3", "0105 earth and related environmental sciences", "2. Zero hunger", "SDG 17", "Conservation of Water Resources", "soil health", "1. No poverty", "04 agricultural and veterinary sciences", "15. Life on land", "SDG 12", "6. Clean water", "13. Climate action", "Sustainable Development Goal 6", "connectivity", "blue and green water", "0401 agriculture", " forestry", " and fisheries", "ecosystem services"]}, "links": [{"href": "https://doi.org/1959.13/1492918"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Philosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1959.13/1492918", "name": "item", "description": "1959.13/1492918", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1959.13/1492918"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-04T00:00:00Z"}}, {"id": "10261/377128", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:22Z", "type": "Journal Article", "created": "2021-08-07", "title": "Groundwater antibiotic pollution and its relationship with dissolved organic matter: Identification and environmental implications", "description": "The occurrence of veterinary antibiotics and hydro-chemical parameters in eleven natural springs in a livestock production area is evaluated, jointly with the characterization of their DOM fingerprint by Orbitrap HRMS. Tetracycline and sulfonamide antibiotics were ubiquitous in all sites, and they were detected at low ng L-1 concentrations, except for doxycycline, that was present at \u03bcg L-1 in one location. DOM analysis revealed that most molecular formulas were CHO compounds (49 %-68\u00a0%), with a remarkable percentage containing nitrogen and sulphur (16 %-23\u00a0% and 11 %-24\u00a0%, respectively). Major DOM components were phenolic and highly unsaturated compounds (~90\u00a0%), typical for soil-derived organic matter, while approximately 11\u00a0% were unsaturated aliphatic, suggesting that springs may be susceptible to anthropogenic contamination sources. Comparing the DOM fingerprint among sites, the spring showing the most different profile was the one with surface water interaction and characterized by having lower CHO and higher CHOS formulas and aliphatic compounds. Correlations between antibiotics and DOM showed that tetracyclines positively correlate with unsaturated oxygen-rich substances, while sulfonamides relate with aliphatic and unsaturated oxygen-poor compounds. This indicates that the fate of different antibiotics will be controlled by the type of DOM present in groundwater.", "keywords": ["High-resolution mass spectrometry", "550", "Contaminants emergents en l'aigua", "Antibi\u00f2tics", "02 engineering and technology", "01 natural sciences", "630", "Soil", "Antibiotics", "Co-transport", "Groundwater -- Pollution", "Dissolved organic matter", "Groundwater", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Emerging contaminants in water", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Anti-Bacterial Agents", "Water quality", "13. Climate action", "Aig\u00fces subterr\u00e0nies -- Contaminaci\u00f3", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "0210 nano-technology", "environment", "Water Pollutants", " Chemical", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10261/377128"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/377128", "name": "item", "description": "10261/377128", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/377128"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "20.500.12556/RUL-136343", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:04Z", "type": "Journal Article", "created": "2021-09-22", "title": "Integrated Water Quality Management Model for the Rural Transboundary River Basin\u2014A Case Study of the Sutla/Sotla River", "description": "

The intensive use of soil and water resources results in a disbalance between the environmental and economic objectives of the river basin. The water quality management model supports good water status, especially downstream of dams and reservoirs, as in the case of the Sutla/Sotla river basin. This research aims to develop a new, improved integrated water quality management model of rural transboundary basins to achieve environmental objectives and protection of the Natura 2000 sites. The model uses river basin pressure analysis to assess the effects of climate and hydrological extreme impacts, and a programme of basic and supplementary measures. The impact assessment of BASE MODEL, PAST, and FUTURE scenarios was modelled using the soil and water assessment tool (SWAT) based on land use, climate and hydrological data, climate change, presence or lack of a reservoir, and municipal wastewater and agriculture measures. Eight future climate change scenarios were obtained with optimistic (RCP4.5) and pessimistic (RCP8.5) forecasts for two periods (2020\u20132050 and 2070\u20132100), both with and without a reservoir. The model shows that the most significant impacts on the waterbody come from the nutrients and sediment hotspots, also shows the risk of not achieving good water status, and water eutrophication risk. The modelled average annual increase in sediment is from 4 to 25% and in total N from 1 to 8%, while the change in total P is from \u22125 to 6%. The conducted analysis provides a base for the selection of tailor-made measures from the catalogue of the supplementary measures that will be outlined in future research.

", "keywords": ["environmental objectives WFD", "integrated water quality management model", "environmental objectives WFD ; integrated water quality management model ; good water status ; rural transboundary river basin ; Sutla/Sotla ; climate change ; scenarios ; SWAT ; measures", "rural transboundary river basin", "01 natural sciences", "11. Sustainability", "hidrologija", "SWAT", "14. Life underwater", "kakovost voda", "0105 earth and related environmental sciences", "vodotoki", "2. Zero hunger", "scenarios", "measures", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Sotla", "climate change", "info:eu-repo/classification/udc/556", "13. Climate action", "vodni mened\u017ement", "Sutla/Sotla", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "good water status"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://doi.org/20.500.12556/RUL-136343"}, {"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": "20.500.12556/RUL-136343", "name": "item", "description": "20.500.12556/RUL-136343", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12556/RUL-136343"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-17T00:00:00Z"}}, {"id": "20.500.12556/RUL-142108", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:04Z", "type": "Journal Article", "created": "2022-10-20", "title": "Significance of Hydromorphological and Sediment Analysis in River Basin Water Quality Management", "description": "The hydromorphology and sediment management, as part of the integrated water management and achieving environmental objectives of the river basin in accordance with the WFD, are presented in the case study of the transboundary rural River Basin Sutla. Sutla is the border river between the Republic of Slovenia and the Republic of Croatia, with a catchment area of 590.6 km2. The proposed sediment management methodology is based on the surface water bodies\u2019 assessment of water quality status, from the surveillance monitoring, and the impact assessment of the point and diffuse pollution sources in the river basin by the mathematical model SWAT.", "keywords": ["EU WFD environmental objectives ; water status ; water quality management ; hydromorphology ; sediment", "0106 biological sciences", "upravljanje z vodami", "15. Life on land", "01 natural sciences", "6. Clean water", "hidromorfologija", "hydromorphology", "Environmental sciences", "kakovosti voda", "EU WFD environmental objectives", "info:eu-repo/classification/udc/556", "sediment", "water status", "13. Climate action", "stanje voda", "hidrologija", "sedimenti", "water quality management", "GE1-350", "14. Life underwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.mdpi.com/2673-4931/21/1/14/pdf"}, {"href": "https://doi.org/20.500.12556/RUL-142108"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/EWaS5%20International%20Conference%3A%20%26amp%3Bldquo%3BWater%20Security%20and%20Safety%20Management%3A%20Emerging%20Threats%20or%20New%20Challenges%3F%20Moving%20from%20Therapy%20and%20Restoration%20to%20Prognosis%20and%20Prevention%26amp%3Brdquo%3B", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.12556/RUL-142108", "name": "item", "description": "20.500.12556/RUL-142108", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12556/RUL-142108"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-19T00:00:00Z"}}, {"id": "2227244489", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:15Z", "type": "Journal Article", "created": "2016-01-07", "title": "The role of biogeochemical hotspots, landscape heterogeneity, and hydrological connectivity for minimizing forestry effects on water quality", "description": "Protecting water quality in forested regions is increasingly important as pressures from land-use, long-range transport of air pollutants, and climate change intensify. Maintaining forest industry without jeopardizing sustainability of surface water quality therefore requires new tools and approaches. Here, we show how forest management can be optimized by incorporating landscape sensitivity and hydrological connectivity into a framework that promotes the protection of water quality. We discuss how this approach can be operationalized into a hydromapping tool to support forestry operations that minimize water quality impacts. We specifically focus on how hydromapping can be used to support three fundamental aspects of land management planning including how to (i) locate areas where different forestry practices can be conducted with minimal water quality impact; (ii) guide the off-road driving of forestry machines to minimize soil damage; and (iii) optimize the design of riparian buffer zones. While this work has a boreal perspective, these concepts and approaches have broad-scale applicability.", "keywords": ["0106 biological sciences", "Conservation of Natural Resources", "Skogsvetenskap", "Geography", " Planning and Development", "01 natural sciences", "Article", "Minimizing forestry effects", "Water Quality", "Environmental Chemistry", "Biomass", "14. Life underwater", "Groundwater", "0105 earth and related environmental sciences", "Ekologi", "Sweden", "Ecology", "Forest Science", "Landscape heterogeneity", "Forestry", "15. Life on land", "Milj\u00f6vetenskap", "Hydrological connectivity", "6. Clean water", "Biogeochemical hotspots", "Environmental Policy", "Water quality", "13. Climate action", "Environmental Sciences", "Environmental Monitoring"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s13280-015-0751-8"}, {"href": "https://doi.org/2227244489"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ambio", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2227244489", "name": "item", "description": "2227244489", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2227244489"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-07T00:00:00Z"}}, {"id": "2969870655", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:31Z", "type": "Journal Article", "created": "2019-08-21", "title": "Towards ecologically functional riparian zones: A meta-analysis to develop guidelines for protecting ecosystem functions and biodiversity in agricultural landscapes", "description": "Riparian zones contribute with biodiversity and ecosystem functions of fundamental importance for regulating flow and nutrient transport in waterways. However, agricultural land-use and physical changes made to improve crop productivity and yield have resulted in modified hydrology and displaced natural vegetation. The modification to the hydrology and natural vegetation have affected the biodiversity and many ecosystem functions provided by riparian zones. Here we review the literature to provide state-of-the-art recommendations for riparian zones in agricultural landscapes. We analysed all available publications since 1984 that have quantified services provided by riparian zones and use this information to recommend minimum buffer widths. We also analysed publications that gave buffer width recommendations to sustain different groups of organisms. We found that drainage size matters for nutrient and sediment removal, but also that a 3\u202fm wide buffer zone acts as a basic nutrient filter. However, to maintain a high floral diversity, a 24\u202fm buffer zone is required, while a 144\u202fm buffer is needed to preserve bird diversity. Based on the analysis, we developed the concept of 'Ecologically Functional Riparian Zones' (ERZ) and provide a step-by-step framework that managers can use to balance agricultural needs and environmental protection of waterways from negative impacts. By applying ERZ in already existing agricultural areas, we can better meet small targets and move towards the long-term goal of achieving a more functional land management and better environmental status of waterways.", "keywords": ["Riparian zone", "river", "nutrient uptake", "hydrology", "Review", "water quality", "01 natural sciences", "Ecological functional riparian zones", "waterway transport", "freshwater environment", "biodiversity", "agriculture", "2. Zero hunger", "filter", "hydrological regime", "Agriculture", "Biodiversity", "Milj\u00f6vetenskap", "functional role", "6. Clean water", "riparian ecosystem", "agricultural land", "Aves", "Environmental Monitoring", "sandy loam", "crop production", "rural area", "12. Responsible consumption", "Buffer zone", "water temperature", "Rivers", "ecosystem function", "controlled study", "human", "14. Life underwater", "environmental protection", "Ecosystem", "environmental monitoring", "0105 earth and related environmental sciences", "ecosystem", "Agricultural", "Vegetation", "practice guideline", "species composition", "land management", "Water", "land use", "soil property", "soil texture", "landscape", "15. Life on land", "13. Climate action", "Environmental Sciences", "meta analysis"]}, "links": [{"href": "https://doi.org/2969870655"}, {"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": "2969870655", "name": "item", "description": "2969870655", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2969870655"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-01T00:00:00Z"}}, {"id": "3081110786", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:40Z", "type": "Journal Article", "created": "2020-08-21", "title": "A Decision Support Model for Assessing the Water Regulation and Purification Potential of Agricultural Soils Across Europe", "description": "Water regulation and purification (WR) function is defined as \u201cthe capacity of the soil to remove harmful compounds and the capacity of the soil to receive, store and conduct water for subsequent use and to prevent droughts, flooding and erosion.\u201d It is a crucial function that society expects agricultural soils to deliver, contributing to quality water supply for human needs and in particular for ensuring food security. The complexity of processes involved and the intricate tradeoff with other necessary soil functions requires decision support tools for best management of WR function. However, the effects of farm and soil management practices on the delivery of the WR function has not been fully addressed by decision support tools for farmers. This work aimed to develop a decision support model for the management of the WR function performed by agricultural soils. The specific objectives of this paper were (i) to construct a qualitative decision support model to assess the water regulation and purification capacity of agricultural soils at field level, to (ii) conduct sensitivity analysis of the model; and (iii) to validate the model with independent empirical data. The developed decision support model for WR is a hierarchical qualitative model with 5 levels and has 27 basic attributes describing the soil (S), environment (E), and management (M) attributes of the field site to be assessed. The WR model is composed of 3 sub-models concerning (1) soil water storage, (2) P and sediment loss in runoff, and (3) N leaching in percolating water. The WR decision support model was validated using a representative dataset of 94 field sites from across Europe and had an overall accuracy of 75% when compared to the empirically derived values across these sites. This highly accurate, reliable, and useful decision support model for assessing the capacity of agricultural soils to perform the WR function can be used by farmers and advisors help manage and protect their soil resources for the future. This model has also been incorporated into the Soil Navigator decision support tool which provides simultaneous assessment of the WR function and other important soil functions for agriculture.", "keywords": ["2. Zero hunger", "decision support tool", "Nutrition. Foods and food supply", "food security", "04 agricultural and veterinary sciences", "soil functions", "TP368-456", "15. Life on land", "water quality", "01 natural sciences", "INCREASE", "Food processing and manufacture", "6. Clean water", "climate change", "13. Climate action", "EXTREME EVENTS", "water regulation", "11. Sustainability", "MANAGEMENT", "0401 agriculture", " forestry", " and fisheries", "TX341-641", "water purification", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/3081110786"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Sustainable%20Food%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3081110786", "name": "item", "description": "3081110786", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3081110786"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-21T00:00:00Z"}}, {"id": "31445372", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:45Z", "type": "Journal Article", "created": "2019-08-21", "title": "Towards ecologically functional riparian zones: A meta-analysis to develop guidelines for protecting ecosystem functions and biodiversity in agricultural landscapes", "description": "Riparian zones contribute with biodiversity and ecosystem functions of fundamental importance for regulating flow and nutrient transport in waterways. However, agricultural land-use and physical changes made to improve crop productivity and yield have resulted in modified hydrology and displaced natural vegetation. The modification to the hydrology and natural vegetation have affected the biodiversity and many ecosystem functions provided by riparian zones. Here we review the literature to provide state-of-the-art recommendations for riparian zones in agricultural landscapes. We analysed all available publications since 1984 that have quantified services provided by riparian zones and use this information to recommend minimum buffer widths. We also analysed publications that gave buffer width recommendations to sustain different groups of organisms. We found that drainage size matters for nutrient and sediment removal, but also that a 3\u202fm wide buffer zone acts as a basic nutrient filter. However, to maintain a high floral diversity, a 24\u202fm buffer zone is required, while a 144\u202fm buffer is needed to preserve bird diversity. Based on the analysis, we developed the concept of 'Ecologically Functional Riparian Zones' (ERZ) and provide a step-by-step framework that managers can use to balance agricultural needs and environmental protection of waterways from negative impacts. By applying ERZ in already existing agricultural areas, we can better meet small targets and move towards the long-term goal of achieving a more functional land management and better environmental status of waterways.", "keywords": ["Riparian zone", "river", "nutrient uptake", "hydrology", "Review", "water quality", "01 natural sciences", "Ecological functional riparian zones", "waterway transport", "freshwater environment", "biodiversity", "agriculture", "2. Zero hunger", "filter", "hydrological regime", "Agriculture", "Biodiversity", "Milj\u00f6vetenskap", "functional role", "6. Clean water", "riparian ecosystem", "agricultural land", "Aves", "Environmental Monitoring", "sandy loam", "crop production", "rural area", "12. Responsible consumption", "Buffer zone", "water temperature", "Rivers", "ecosystem function", "controlled study", "human", "14. Life underwater", "environmental protection", "Ecosystem", "environmental monitoring", "0105 earth and related environmental sciences", "ecosystem", "Agricultural", "Vegetation", "practice guideline", "species composition", "land management", "Water", "land use", "soil property", "soil texture", "landscape", "15. Life on land", "13. Climate action", "Environmental Sciences", "meta analysis"]}, "links": [{"href": "https://doi.org/31445372"}, {"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": "31445372", "name": "item", "description": "31445372", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/31445372"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-01T00:00:00Z"}}, {"id": "3146941420", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-24T16:25:13Z", "type": "Journal Article", "created": "2021-03-31", "title": "Impact of future climate scenarios on peatland and constructed wetland water quality: A mesocosm experiment within climate chambers", "description": "Water purification is one of the most essential services provided by wetlands. A lot of concerns regarding wetlands subjected to climate change relate to their susceptibility to hydrological change and the increase in temperature as a result of global warming. A warmer condition may accelerate the rate of decomposition and release of nutrients, which can be exported downstream and cause serious ecological challenges; e.g., eutrophication and acidification. The aim of this study is to investigate the effect of climate change on water quality in peatland and constructed wetland ecosystems subject to water level management. For this purpose, the authors simulated the current climate scenario base on the database from Malm\u00f6 station (Scania, Sweden) for 2016 and 2017 as well as the future climate scenarios for the last 30 years of the century based on the Representative Concentration Pathway (RCP) and different regional climate models (RCM) for a region wider than Scania County. For future climate change, the authors simulated low (RCP 2.6), moderate (RCP 4.5) and extreme (RCP 8.5) climate scenarios. All simulations were conducted within climate chambers for experimental peatland and constructed wetland mesocosms. Our results demonstrate that the effect of climate scenario is significantly different for peatlands and constructed wetlands (interactive effect) for the combined chemical variables. The warmest climate scenario RCP 8.5 is linked to a higher water purification function for constructed wetlands, but to a lower water purification function and a subsequent deterioration of peatland water qualities, even if subjected to water level management. The explanation for the different response of constructed wetlands and peatlands to climate change could be due to the fact that the substrate in the constructed wetland mesocosms and peatlands was different in terms of the organic matter quality and quantity. The utilization of nutrients by the plants and microbial community readily exceed the mineralization under a limited nutrient content (as we had in constructed wetland) when the temperature rises. However, concerning the extreme scenario RCP 8.5, the peatlands have shown a tendency to have reverse processes.", "keywords": ["Sweden", "13. Climate action", "Climate Change", "Water Quality", "Wetlands", "14. Life underwater", "15. Life on land", "01 natural sciences", "Ecosystem", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/3146941420"}, {"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": "3146941420", "name": "item", "description": "3146941420", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3146941420"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-01T00:00:00Z"}}, {"id": "33799066", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-24T16:25:24Z", "type": "Journal Article", "created": "2021-03-30", "title": "Impact of future climate scenarios on peatland and constructed wetland water quality: A mesocosm experiment within climate chambers", "description": "Water purification is one of the most essential services provided by wetlands. A lot of concerns regarding wetlands subjected to climate change relate to their susceptibility to hydrological change and the increase in temperature as a result of global warming. A warmer condition may accelerate the rate of decomposition and release of nutrients, which can be exported downstream and cause serious ecological challenges; e.g., eutrophication and acidification. The aim of this study is to investigate the effect of climate change on water quality in peatland and constructed wetland ecosystems subject to water level management. For this purpose, the authors simulated the current climate scenario base on the database from Malm\u00f6 station (Scania, Sweden) for 2016 and 2017 as well as the future climate scenarios for the last 30 years of the century based on the Representative Concentration Pathway (RCP) and different regional climate models (RCM) for a region wider than Scania County. For future climate change, the authors simulated low (RCP 2.6), moderate (RCP 4.5) and extreme (RCP 8.5) climate scenarios. All simulations were conducted within climate chambers for experimental peatland and constructed wetland mesocosms. Our results demonstrate that the effect of climate scenario is significantly different for peatlands and constructed wetlands (interactive effect) for the combined chemical variables. The warmest climate scenario RCP 8.5 is linked to a higher water purification function for constructed wetlands, but to a lower water purification function and a subsequent deterioration of peatland water qualities, even if subjected to water level management. The explanation for the different response of constructed wetlands and peatlands to climate change could be due to the fact that the substrate in the constructed wetland mesocosms and peatlands was different in terms of the organic matter quality and quantity. The utilization of nutrients by the plants and microbial community readily exceed the mineralization under a limited nutrient content (as we had in constructed wetland) when the temperature rises. However, concerning the extreme scenario RCP 8.5, the peatlands have shown a tendency to have reverse processes.", "keywords": ["Sweden", "13. Climate action", "Climate Change", "Water Quality", "Wetlands", "14. Life underwater", "15. Life on land", "01 natural sciences", "Ecosystem", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/33799066"}, {"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": "33799066", "name": "item", "description": "33799066", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/33799066"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-01T00:00:00Z"}}, {"id": "37951108", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:26:00Z", "type": "Journal Article", "created": "2023-11-10", "title": "Water quality in a large complex catchment: Significant effects of land use and soil type but limited ability to detect trends", "description": "Globally, significant societal resources are devoted to mitigating negative effects of eutrophication from excessive phosphorus (P) and nitrogen (N) loading. Potential effectiveness of mitigation measures and possible confounding factors are often assessed using studies conducted in headwater catchments. However, success is often evaluated based on trends in river mouth water chemistry. It is not clear how transferrable insights from headwater catchments are to larger rivers. Here, relationships between P and suspended solids (SS) identified in small agricultural headwater catchments were applied to 30 larger, mixed land use catchments draining into M\u00e4laren, a Swedish great lake. Relationships identified in headwater streams between SS concentration, catchment agricultural land percentage and arable land clay content were corroborated for the larger catchments (R2\u00a0=\u00a00.59, p-value<0.001. The same was true for connections between SS and particulate P (R2\u00a0=\u00a00.74, p-value<0.001). This study highlights the importance of agricultural land, clay content and SS for P transport, on both smaller headwater as well as larger catchment scales, supporting the use of headwater findings on larger, management relevant scales. Consequently, these relationships should be used to target mitigation measures to reduce SS and P losses. To explore the effectiveness of mitigation measures on water quality, we assessed long-term (20 year) trends in tributary water quality and compared these trends to the amount of mitigation measures implemented in the catchment. Overall improving trends were detected using regional Mann Kendall tests, but few decreasing trends in nutrient concentrations were found for individual sites using Generalized Additive Models (GAM). The lack of significant trends and identifiable connections to amount of mitigation measures implemented could be due to several reasons, e.g. insufficient time for recently implemented measures to have an effect, ongoing release of legacy P as well as low areal coverage and poor spatial placement of implemented measures. In addition, trend detection requires large amounts of data and the results should be carefully interpreted and communicated.", "keywords": ["Environmental Sciences (social aspects to be 507)", "Agriculture", "Phosphorus", "Oceanography", " Hydrology", " Water Resources", "15. Life on land", "Oceanography", "6. Clean water", "Soil", "Lakes", "Rivers", "13. Climate action", "Water Quality", "Water Resources", "Clay", "Hydrology", "Environmental Monitoring"]}, "links": [{"href": "https://pub.epsilon.slu.se/32300/1/sandstr%C3%B6m-s-et-al-20231212.pdf"}, {"href": "https://doi.org/37951108"}, {"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": "37951108", "name": "item", "description": "37951108", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/37951108"}, {"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": "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"]}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Water+quality&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Water+quality&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Water+quality&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Water+quality&offset=50", "hreflang": "en-US"}], "numberMatched": 54, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-05-25T02:11:12.547565Z"}