{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.15680931", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:44Z", "type": "Journal Article", "created": "2025-06-15", "title": "Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments", "description": "Abstract Background

Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.

Results

The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.

Conclusions

The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.

", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1186/s12302-025-01141-6.pdf"}, {"href": "https://doi.org/10.5281/zenodo.15680931"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15680931", "name": "item", "description": "10.5281/zenodo.15680931", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15680931"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.1007/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.Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.

Results

The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.

Conclusions

The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.

", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1186/s12302-025-01141-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s12302-025-01141-6", "name": "item", "description": "10.1186/s12302-025-01141-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s12302-025-01141-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.3390/w10040464", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:54Z", "type": "Journal Article", "created": "2018-04-11", "title": "Identifying Feasible Locations for Wetland Creation or Restoration in Catchments by Suitability Modelling Using Light Detection and Ranging (LiDAR) Digital Elevation Model (DEM)", "description": "

Wetlands play a key role in controlling flooding and non-point-source (diffuse) pollution. They are therefore an important tool for mitigating diffuse water pollution from farms. However, to use this tool, it is necessary to obtain detailed assessments and identification of potential wetland restoration or creation sites. This is complicated by the diversity of landscapes, environmental conditions, and land ownership. Site suitability for wetland restoration or creation depends on many factors: the underlying geology, soils, topography, hydrology, drainage, and land ownership. Local hydrology and soils are among the most important factors. However, the inventory and characterization of a site\uffe2\uff80\uff99s soils and hydrology often requires extensive, expensive, and time-consuming ground surveys, and it is therefore limited to small areas. Another possibility would be to consider topography, which strongly determines water movement patterns. Light detection and ranging (LiDAR) data provides detailed topographic information and can be acquired by remote sensing. Our study showed that terrain analysis using high-resolution topographical data can produce suitability maps for wetlands that can be easily used by decision makers and planners in watershed management. The rapid methodology reveals potential wetland creation or restoration sites at a reasonable cost; with the resulting spatially explicit suitability map, managers can plan for wetland creation or restoration without having to wait for field-data collection.

", "keywords": ["13. Climate action", "15. Life on land", "01 natural sciences", "spatial analysis; suitability analysis; spatial planning; watershed management; GIS; landscape planning", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/10/4/464/pdf"}, {"href": "https://doi.org/10.3390/w10040464"}, {"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/w10040464", "name": "item", "description": "10.3390/w10040464", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w10040464"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-11T00:00:00Z"}}, {"id": "10.3390/w12061787", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:54Z", "type": "Journal Article", "created": "2020-06-24", "title": "Can Lumped Characteristics of a Contributing Area Provide Risk Definition of Sediment Flux?", "description": "

Accelerated soil erosion by water has many offsite impacts on the municipal infrastructure. This paper discusses how to easily detect potential risk points around municipalities by simple spatial analysis using GIS. In the Czech Republic, the WaTEM/SEDEM model is verified and used in large scale studies to assess sediment transports. Instead of computing actual sediment transports in river systems, WaTEM/SEDEM has been innovatively used in high spatial detail to define indices of sediment flux from small contributing areas. Such an approach has allowed for the modeling of sediment fluxes in contributing areas with above 127,484 risk points, covering the entire Czech Republic territory. Risk points are defined as outlets of contributing areas larger than 1 ha, wherein the surface runoff goes into residential areas or vulnerable bodies of water. Sediment flux indices were calibrated by conducting terrain surveys in 4 large watersheds and splitting the risk points into 5 groups defined by the intensity of sediment transport threat. The best sediment flux index resulted from the correlation between the modeled total sediment input in a 100 m buffer zone of the risk point and the field survey data (R2 from 0.57 to 0.91 for the calibration watersheds). Correlation analysis and principal component analysis (PCA) of the modeled indices and their relation to 11 lumped characteristics of the contributing areas were computed (average K-factor; average R-factor; average slope; area of arable land; area of forest; area of grassland; total watershed area; average planar curvature; average profile curvature; specific width; stream power index). The comparison showed that for risk definition the most important is a combination of morphometric characteristics (specific width and stream power index), followed by watershed area, proportion of grassland, soil erodibility, and rain erosivity (described by PC2).

", "keywords": ["soil erosion", "PCA analysis", "residential areas", "RUSLE (Revised Universal Soil Loss Equation)", "watershed characteristics", "04 agricultural and veterinary sciences", "Residential areas", "15. Life on land", "6. Clean water", "total soil loss", "13. Climate action", "11. Sustainability", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "sediment flux", "Sediment flux", "WaTEM/SEDEM", "Watershed characteristics", "Total soil loss", "Czech Republic"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://doi.org/10.3390/w12061787"}, {"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/w12061787", "name": "item", "description": "10.3390/w12061787", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w12061787"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-23T00:00:00Z"}}, {"id": "10.34894/u9hspv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:56Z", "type": "Dataset", "title": "ARCADE: The pan-ARctic CAtchment DatabasE", "description": "Earth\u2019s rapidly changing climate is particularly evident in the Arctic. Outside of the Arctic, the emergence of large-sample catchment databases has transformed science from an emphasis on local case-studies towards more systematic insights into drivers of watershed functioning. Here we present an integrated pan-ARctic CAtchments summary DatabasE (ARCADE) of >40,000 catchments, including small and medium-sized watersheds, draining into the Arctic Ocean. These watersheds, delineated at a high-resolution (90 m), are provided with 103 geospatial, environmental, climatic, and physiographic catchment properties. ARCADE is the first aggregated database of pan-Arctic river catchments that includes small watersheds at a high resolution. These small catchments are experiencing the greatest climatic warming while also storing large quantities of soil carbon in landscapes that are especially prone to degradation of permafrost (i.e., ice wedge polygon terrain) and associated hydrological regime shifts. The publication of this database is a necessary step toward more integrated monitoring of the pan-Arctic watershed.", "keywords": ["Earth and Environmental Science", "Pan-Arctic", "Climate", "Permafrost", "Climate change in the Arctic environment", "15. Life on land", "Biogeochemistry", "Pan Arctic", "Catchment", "Hydroclimatology", "Biospheric Sciences", "Database", "Arctic", "13. Climate action", "Earth and Environmental Sciences", "Climate change", "14. Life underwater", "Watersheds", "Hydrology", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Speetjens, N. J., Hugelius, G., Gumbricht, T., Lantuit, H., Berghuijs, W.R., Pika, P.A., Poste, A., Vonk, J.E.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.34894/u9hspv"}, {"rel": "self", "type": "application/geo+json", "title": "10.34894/u9hspv", "name": "item", "description": "10.34894/u9hspv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.34894/u9hspv"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.8017835", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:21Z", "type": "Dataset", "title": "Hydrobiogeochemical controls on the delivery of dissolved organic matter to boreal headwater streams", "description": "Dataset of continuous stream discharge, soil moisture, and hydrographic separation of Upper Horseshoe and Lower Horseshoe stream sites near Pynn's Brook, Newfoundland. Matched to continuous data where available are dissolved organic carbon concentration, absorbance at 254 nm and specific UV absorbance measurements from discrete samples collected via autosampler or grab-sampled.", "keywords": ["C-Q Hysteresis", "Watershed scale responses", "Preferential flowpaths", "CDOM", "DOC", "DOM", "Boreal headwater stream", "6. Clean water", "SUVA"], "contacts": [{"organization": "Roebuck, J. Alan Jr., Prestegard, Karen, Gaviria Salazar, Christian, Myers-Pigg, Allison N., Ziegler, Susan E.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8017835"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8017835", "name": "item", "description": "10.5281/zenodo.8017835", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8017835"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-08T00:00:00Z"}}, {"id": "10.5683/SP3/4FOMJF", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:23:31Z", "type": "Dataset", "title": "Carbon biogeochemistry of major rivers in northern Qu\u00e9bec [summer 2010 snapshot]", "description": "Open AccessThe file contains the following variables and units of measurement: Annual streamflow from precipitation -evapotranspiration (m3/s), Mean Slope (degree), Mean Altitude (m) Depth (m), Water Temperature (\u00baC), Dissolved oxygen - saturation (%), Dissolved oxygen (mg/L), pH, Average wind speed (m/s), Catchment area (km2), Total Aquatic cover (%), River cover (%), Vegetation cover (%), Wetland cover (%), Brunisolic (%), Podzolic (%), Organic soil (%), Regosolic (%), Intrusive rocks (%), Metamorphic rocks (%), Volcanic rocks (%), Sedimentary rocks (%), total organic carbon - TOC (mg/L), dissolved organic carbon - DOC (mg/L), total inorganic carbon - TIC (mg/L), dissolved inorganic carbon - DIC (mg/L), particulate organic carbon - POC (mg/L), particulate inorganic carbon- PIC (TIC-DIC, mg/L), total phosphorus - TP (ug/L), total nitrogen - TN (mg/L), Total Suspended Particles (mg/L), \u039414C-DOC (\u2030), \u03b413C-DOC (\u2030), pCO2 (ppm), pCH4 (ppm), CO2 Flux chamber (mgC/m2/d), CH4 Flux chamber (mgC/m2/d), CO2 TBL (Thin Boundary Layer method) method (mgC/m2/d1), CH4 TBL method (mgC/m2/d1).", "keywords": ["Watershed hydrology", "Carbon cycle (Biogeochemistry)", "boreal rivers", "15. Life on land", "dissolved organic carbon", "6. Clean water", "Gaz carbonique", "Greenhouse gases", "carbon export", "Carbon dioxide", "13. Climate action", "Earth and Environmental Sciences", "Gaz \u00e0 effet de serre", "Carbone organique dissous", "Cycle du carbone (Biog\u00e9ochimie)"], "contacts": [{"organization": "Ladeira De Melo, Michaela", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5683/SP3/4FOMJF"}, {"rel": "self", "type": "application/geo+json", "title": "10.5683/SP3/4FOMJF", "name": "item", "description": "10.5683/SP3/4FOMJF", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5683/SP3/4FOMJF"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10261/253137", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:17Z", "type": "Journal Article", "created": "2020-06-24", "title": "Can Lumped Characteristics of a Contributing Area Provide Risk Definition of Sediment Flux?", "description": "

Accelerated soil erosion by water has many offsite impacts on the municipal infrastructure. This paper discusses how to easily detect potential risk points around municipalities by simple spatial analysis using GIS. In the Czech Republic, the WaTEM/SEDEM model is verified and used in large scale studies to assess sediment transports. Instead of computing actual sediment transports in river systems, WaTEM/SEDEM has been innovatively used in high spatial detail to define indices of sediment flux from small contributing areas. Such an approach has allowed for the modeling of sediment fluxes in contributing areas with above 127,484 risk points, covering the entire Czech Republic territory. Risk points are defined as outlets of contributing areas larger than 1 ha, wherein the surface runoff goes into residential areas or vulnerable bodies of water. Sediment flux indices were calibrated by conducting terrain surveys in 4 large watersheds and splitting the risk points into 5 groups defined by the intensity of sediment transport threat. The best sediment flux index resulted from the correlation between the modeled total sediment input in a 100 m buffer zone of the risk point and the field survey data (R2 from 0.57 to 0.91 for the calibration watersheds). Correlation analysis and principal component analysis (PCA) of the modeled indices and their relation to 11 lumped characteristics of the contributing areas were computed (average K-factor; average R-factor; average slope; area of arable land; area of forest; area of grassland; total watershed area; average planar curvature; average profile curvature; specific width; stream power index). The comparison showed that for risk definition the most important is a combination of morphometric characteristics (specific width and stream power index), followed by watershed area, proportion of grassland, soil erodibility, and rain erosivity (described by PC2).

", "keywords": ["soil erosion", "PCA analysis", "residential areas", "RUSLE (Revised Universal Soil Loss Equation)", "watershed characteristics", "04 agricultural and veterinary sciences", "Residential areas", "15. Life on land", "6. Clean water", "total soil loss", "13. Climate action", "11. Sustainability", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "sediment flux", "Sediment flux", "WaTEM/SEDEM", "Watershed characteristics", "Total soil loss", "Czech Republic"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://doi.org/10261/253137"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/253137", "name": "item", "description": "10261/253137", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/253137"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-23T00:00:00Z"}}, {"id": "3037981509", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:39Z", "type": "Journal Article", "created": "2020-06-24", "title": "Can Lumped Characteristics of a Contributing Area Provide Risk Definition of Sediment Flux?", "description": "

Accelerated soil erosion by water has many offsite impacts on the municipal infrastructure. This paper discusses how to easily detect potential risk points around municipalities by simple spatial analysis using GIS. In the Czech Republic, the WaTEM/SEDEM model is verified and used in large scale studies to assess sediment transports. Instead of computing actual sediment transports in river systems, WaTEM/SEDEM has been innovatively used in high spatial detail to define indices of sediment flux from small contributing areas. Such an approach has allowed for the modeling of sediment fluxes in contributing areas with above 127,484 risk points, covering the entire Czech Republic territory. Risk points are defined as outlets of contributing areas larger than 1 ha, wherein the surface runoff goes into residential areas or vulnerable bodies of water. Sediment flux indices were calibrated by conducting terrain surveys in 4 large watersheds and splitting the risk points into 5 groups defined by the intensity of sediment transport threat. The best sediment flux index resulted from the correlation between the modeled total sediment input in a 100 m buffer zone of the risk point and the field survey data (R2 from 0.57 to 0.91 for the calibration watersheds). Correlation analysis and principal component analysis (PCA) of the modeled indices and their relation to 11 lumped characteristics of the contributing areas were computed (average K-factor; average R-factor; average slope; area of arable land; area of forest; area of grassland; total watershed area; average planar curvature; average profile curvature; specific width; stream power index). The comparison showed that for risk definition the most important is a combination of morphometric characteristics (specific width and stream power index), followed by watershed area, proportion of grassland, soil erodibility, and rain erosivity (described by PC2).

", "keywords": ["soil erosion", "PCA analysis", "residential areas", "RUSLE (Revised Universal Soil Loss Equation)", "watershed characteristics", "04 agricultural and veterinary sciences", "Residential areas", "15. Life on land", "6. Clean water", "total soil loss", "13. Climate action", "11. Sustainability", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "sediment flux", "Sediment flux", "WaTEM/SEDEM", "Watershed characteristics", "Total soil loss", "Czech Republic"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://doi.org/3037981509"}, {"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": "3037981509", "name": "item", "description": "3037981509", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3037981509"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-23T00:00:00Z"}}, {"id": "724b80f2-5532-43a3-ab89-8d34bc7842f5", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.46, 53.29], [13.46, 53.43], [13.88, 53.43], [13.88, 53.29], [13.46, 53.29]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Forschungsdatenmanagement's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Forschungsdatenmanagement and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Forschungsdatenmanagement and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Forschungsdatenmanagement 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. 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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.