{"type": "FeatureCollection", "features": [{"id": "10.1016/j.ecoena.2019.100010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:43Z", "type": "Journal Article", "created": "2019-07-26", "title": "Developing and validating a decision support tool for media selection to mitigate drainage waters", "description": "The nitrate nitrogen (NO3-N) and ammonium (NH4-N) and/or dissolved reactive phosphorus (DRP) load in drainage water from farms can be managed by reactive or biological media filters. The nutrient content of the drainage water can be obtained directly from water analysis, which immediately focuses attention on filter media selection. There are many factors that may be important before choosing a medium or media e.g. nutrient removal capacity, lifetime, hydraulic conductivity, the potential for pollution swapping , attenuation of non-target contaminants (e.g. pesticides, organic carbon, etc.), and local availability and transportation cost of media to site. In this study, a novel decision support tool (DST) was developed, which brought all these factors together in one place for five nutrient scenarios. A systematic literature review was conducted to create a database containing 75 media with an associated static scoring system across seven criteria (% of nutrient concentration reduction, removal of other pollutants, lifetime, hydraulic conductivity, negative externalities) and a dynamic scoring system across two criteria (delivery cost and availability). The DST was tested using case studies from Ireland, Belgium and USA with different agricultural practices and nutrient scenarios. It was then validated by SWOT (strength, weakness, opportunities and threats) analysis. The DST provided a rapid, easily modifiable screening of many media-based treatments for specific dual or single nutrient-based water drainage problems. This provides stakeholders (farmers/regulators/advisors) with a versatile, flexible and robust yet easy-to-understand framework to make informed choices on appropriate media-based mitigation measures according to users relevant technical, economic and logistical factors.", "keywords": ["2. Zero hunger", "Farm pollution", "Nitrogen", "Phosphorus", "Agriculture", "15. Life on land", "01 natural sciences", "nitrogen", "6. Clean water", "farm pollution", "12. Responsible consumption", "13. 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This paper describes a new approach for the mutual delineation and assessment of different pollution sources where the critical points method is used to identify the origin of contamination and the source areas. The critical points, i.e., sites presenting the entry of quick surface and drainage runoff into waters, are classified into three (for surface pollution sources using a WaTEM/SEDEM model) or four (subsurface = drainage sources via the catchment-measures need index) categories, respectively. This enabled us to prioritize the most endangered areas at different scales, ranging from the third-order catchments to very small subcatchments, and to design the appropriate combination of control measures to mitigate surface and drainage water runoff, with these being the main drivers of associated pollution. This methodology was applied to a study conducted in the Czech Republic within the entire Vltava River basin, with a total area of 27,578 km2, and utilized in depth to assess a 543 km2 catchment of the Vla\u0161imsk\u00e1 Blanice River. When the effect of the designed surface runoff control measures system had been assessed for sediment transport through outlet profiles of the fourth-order catchments, the average reduction reached 43%. The total reduction in the subsurface transport of nitrogen within the fourth-order catchments was 24%. The approach and results are planned to be projected into river basin management plans for the Vltava River basin. Nevertheless, a thorough reassessment of current legislations and strategies is needed to enable the broader adoption of mitigation measures and sustainable management patterns within agricultural landscapes.</p></article>", "keywords": ["2. Zero hunger", "Non-point agricultural water pollution", "13. Climate action", "11. Sustainability", "Drainage water management", "catchment prioritization; critical point; drainage water management; non-point agricultural water pollution; surface runoff; water retention", "Water retention", "15. Life on land", "Catchment prioritization", "Surface runoff", "6. Clean water", "12. Responsible consumption", "Critical point"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://doi.org/10.3390/w15061247"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w15061247", "name": "item", "description": "10.3390/w15061247", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w15061247"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-22T00:00:00Z"}}, {"id": "10261/366355", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:34Z", "type": "Journal Article", "created": "2023-03-22", "title": "Slowing Down Quick Runoff\u2014A New Approach for the Delineation and Assessment of Critical Points, Contributing Areas, and Proposals of Measures to Reduce Non-Point Water Pollution from Agricultural Land", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Non-point sources of water pollution caused by agricultural crop production are a serious problem in Czechia, at present. This paper describes a new approach for the mutual delineation and assessment of different pollution sources where the critical points method is used to identify the origin of contamination and the source areas. The critical points, i.e., sites presenting the entry of quick surface and drainage runoff into waters, are classified into three (for surface pollution sources using a WaTEM/SEDEM model) or four (subsurface = drainage sources via the catchment-measures need index) categories, respectively. This enabled us to prioritize the most endangered areas at different scales, ranging from the third-order catchments to very small subcatchments, and to design the appropriate combination of control measures to mitigate surface and drainage water runoff, with these being the main drivers of associated pollution. This methodology was applied to a study conducted in the Czech Republic within the entire Vltava River basin, with a total area of 27,578 km2, and utilized in depth to assess a 543 km2 catchment of the Vla\u0161imsk\u00e1 Blanice River. When the effect of the designed surface runoff control measures system had been assessed for sediment transport through outlet profiles of the fourth-order catchments, the average reduction reached 43%. The total reduction in the subsurface transport of nitrogen within the fourth-order catchments was 24%. The approach and results are planned to be projected into river basin management plans for the Vltava River basin. Nevertheless, a thorough reassessment of current legislations and strategies is needed to enable the broader adoption of mitigation measures and sustainable management patterns within agricultural landscapes.</p></article>", "keywords": ["2. Zero hunger", "Non-point agricultural water pollution", "13. Climate action", "11. Sustainability", "Drainage water management", "catchment prioritization; critical point; drainage water management; non-point agricultural water pollution; surface runoff; water retention", "Water retention", "15. Life on land", "Catchment prioritization", "Surface runoff", "6. Clean water", "12. Responsible consumption", "Critical point"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://doi.org/10261/366355"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366355", "name": "item", "description": "10261/366355", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366355"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-22T00:00:00Z"}}, {"id": "11019/2522", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:45Z", "type": "Journal Article", "created": "2019-12-19", "title": "Impact of P inputs on source-sink P dynamics of sediment along an agricultural ditch network", "description": "Phosphorus (P) loss from intensive dairy farms is a pressure on water quality in agricultural catchments. At farm scale, P sources can enter in-field drains and open ditches, resulting in transfer along ditch networks and delivery into nearby streams. Open ditches could be a potential location for P mitigation if the right location was identified, depending on P sources entering the ditch and the source-sink dynamics at the sediment-water interface. The objective of this study was to identify the right location along a ditch to mitigate P losses on an intensive dairy farm. High spatial resolution grab samples for water quality, along with sediment and bankside samples, were collected along an open ditch network to characterise the P dynamics within the ditch. Phosphorus inputs to the ditch adversely affected water quality, and a step change in P concentrations (increase in mean dissolved reactive phosphorus (DRP) from 0.054 to 0.228 mg L-1) midway along the section of the ditch sampled, signalled the influence of a point source entering the ditch. Phosphorus inputs altered sediment P sorption properties as P accumulated along the length of the ditch. Accumulation of bankside and sediment labile extractable P, Mehlich 3 P (M3P) (from 13 to 97 mg kg-1) resulted in a decrease in P binding energies (k) to", "keywords": ["2. Zero hunger", "Farm pollution", "Water", "Agriculture", "Phosphorus", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "farm pollution", "soil", "Soil", "sediment", "Drainage water", "Water Movements", "0401 agriculture", " forestry", " and fisheries", "Sediment", "14. Life underwater", "phosphorus", "Water Pollutants", " Chemical", "agriculture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/11019/2522"}, {"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": "11019/2522", "name": "item", "description": "11019/2522", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11019/2522"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-01T00:00:00Z"}}, {"id": "11019/3383", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:45Z", "type": "Journal Article", "created": "2019-07-26", "title": "Developing and validating a decision support tool for media selection to mitigate drainage waters", "description": "The nitrate nitrogen (NO3-N) and ammonium (NH4-N) and/or dissolved reactive phosphorus (DRP) load in drainage water from farms can be managed by reactive or biological media filters. The nutrient content of the drainage water can be obtained directly from water analysis, which immediately focuses attention on filter media selection. There are many factors that may be important before choosing a medium or media e.g. nutrient removal capacity, lifetime, hydraulic conductivity, the potential for pollution swapping , attenuation of non-target contaminants (e.g. pesticides, organic carbon, etc.), and local availability and transportation cost of media to site. In this study, a novel decision support tool (DST) was developed, which brought all these factors together in one place for five nutrient scenarios. A systematic literature review was conducted to create a database containing 75 media with an associated static scoring system across seven criteria (% of nutrient concentration reduction, removal of other pollutants, lifetime, hydraulic conductivity, negative externalities) and a dynamic scoring system across two criteria (delivery cost and availability). The DST was tested using case studies from Ireland, Belgium and USA with different agricultural practices and nutrient scenarios. It was then validated by SWOT (strength, weakness, opportunities and threats) analysis. The DST provided a rapid, easily modifiable screening of many media-based treatments for specific dual or single nutrient-based water drainage problems. This provides stakeholders (farmers/regulators/advisors) with a versatile, flexible and robust yet easy-to-understand framework to make informed choices on appropriate media-based mitigation measures according to users relevant technical, economic and logistical factors.", "keywords": ["2. Zero hunger", "Farm pollution", "Nitrogen", "Phosphorus", "Agriculture", "15. Life on land", "01 natural sciences", "nitrogen", "6. Clean water", "farm pollution", "12. Responsible consumption", "13. Climate action", "Drainage water", "phosphorus", "agriculture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/152292/8/1-s2.0-S2590290319300100-main.pdf"}, {"href": "https://doi.org/11019/3383"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11019/3383", "name": "item", "description": "11019/3383", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11019/3383"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "opendata"}, {"id": "specific UV absorbance (SUVA)"}], "scheme": "Individual"}, {"concepts": [{"id": "redox potential"}, {"id": "subsoil"}, {"id": "soil water constants"}, {"id": "elements"}, {"id": "plant available phosphorus"}, {"id": "total phosphorus"}, {"id": "carbon"}, {"id": "dissolved inorganic carbon"}, {"id": "dissolved organic carbon"}, {"id": "ammonium"}, {"id": "nitrates"}, {"id": "nitrites"}, {"id": "calcium"}, {"id": "aluminium"}, {"id": "iron"}, {"id": "manganese"}, {"id": "soil solution"}, {"id": "phosphates"}, {"id": "drainage water"}, {"id": "lysimeters"}, {"id": "slope"}, {"id": "nitrogen content"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}], "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 BonaRes Module A-Project - BonaRes - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - InnoSoilPhos 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 BonaRes Module A-Project - BonaRes - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-03-28", "type": "Dataset", "created": "2022-04-28", "language": "eng", "title": "Lysimeter data Rostock: Redox potential, pH and element concentrations of pore water in 2021", "description": "The dataset contains soil pore water data from three sampling depths of three soil profiles from along a hill slope in Northern Germany. Data inform about weekly redox potential (Eh), pH and element concentrations (TC, IC, OC, TN, NH4+ -N, NO2- -N, NO3- -N, PO43- -P, total Ca, P, Fe, Al, and Mn) in filtered (0.45 \u00b5m) soil pore water samples collected in 2021.\n\nResearch domain: Soil Sciences\n\nResearch question: Controlled drainage may affect phosphorus mobilization in soil. To assess P mobilization at different redox conditions, three soil profiles with redoximorphic features were selected along a slight hill slope and lysimeter monoliths were collected by drilling in 2018. In 2021, lysimeters were cropped with maize. Five maize plants of each lysimeter were supplied with underfoot fertilizer (P and S) while further five plants of each lysimeter were left without fertilizer. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. The redox potential (Eh) was measured in situ and pore water was sampled weekly from three different depths of the lysimeters to determine pH and the element concentrations total C, N, P, Al, Fe, Mn, and Ca as well as inorganic and organic C (DIC, DOC), NH4+-N, NO2- -N, NO3- -N and PO43- -P in solutions (0.45 \u00b5m). Thus, information about different element concentrations at different redox potentials and pH was gained over a period of about 6.5 months in 2021.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "opendata", "specific UV absorbance (SUVA)", "redox potential", "subsoil", "soil water constants", "elements", "plant available phosphorus", "total phosphorus", "carbon", "dissolved inorganic carbon", "dissolved organic carbon", "ammonium", "nitrates", "nitrites", "calcium", "aluminium", "iron", "manganese", "soil solution", "phosphates", "drainage water", "lysimeters", "slope", "nitrogen content"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock; present organization: University of Vechta", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "karen.baumann@uni-rostock.de; present email: karen.baumann@uni-vechta.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://orcid.org", "protocol": null, "protocol_url": "", "name": "0000-0003-1341-052X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://orcid.org", "protocol": null, "protocol_url": "", "name": "0000-0003-3776-2984", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Center", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Rostock; present organization: University of Vechta", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=2f559cf4-8685-40b3-a6e1-4ad4a9120168", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "name": "item", "description": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2f559cf4-8685-40b3-a6e1-4ad4a9120168"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-28T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=drainage+water&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=drainage+water&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=drainage+water&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=drainage+water&offset=9", "hreflang": "en-US"}], "numberMatched": 9, "numberReturned": 9, "distributedFeatures": [], "timeStamp": "2026-05-26T01:11:34.137426Z"}