{"type": "FeatureCollection", "features": [{"id": "10.1002/hyp.14966", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:14:14Z", "type": "Journal Article", "created": "2023-09-15", "title": "Testing CASE: A new event\u2010based Morgan\u2010Morgan\u2010Finney\u2010type erosion model for different rainfall experimental scenarios", "description": "Abstract

Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan\uffe2\uff80\uff90Morgan\uffe2\uff80\uff90Finney (MMF)\uffe2\uff80\uff90type model was developed, representing a balanced position between physically\uffe2\uff80\uff90based and empirical modelling approaches. The resulting model termed \uffe2\uff80\uff98calculator for soil erosion\uffe2\uff80\uff99 (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high\uffe2\uff80\uff90intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte\uffe2\uff80\uff90Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF\uffe2\uff80\uff90type models, or with similar datasets.

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.

", "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": "2026-09-21T16:22:06Z", "type": "Journal Article", "created": "2023-03-22", "title": "Slowing Down Quick Runoff\u2014A New Approach for the Delineation and Assessment of Critical Points, Contributing Areas, and Proposals of Measures to Reduce Non-Point Water Pollution from Agricultural Land", "description": "

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.

", "keywords": ["2. Zero hunger", "Non-point agricultural water pollution", "13. Climate action", "11. Sustainability", "Drainage water management", "catchment prioritization; critical point; drainage water management; non-point agricultural water pollution; surface runoff; water retention", "Water retention", "15. Life on land", "Catchment prioritization", "Surface runoff", "6. Clean water", "12. Responsible consumption", "Critical point"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://www.mdpi.com/2073-4441/15/6/1247/pdf"}, {"href": "https://doi.org/10261/366355"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/366355", "name": "item", "description": "10261/366355", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/366355"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-22T00:00:00Z"}}, {"id": "10.5281/zenodo.3660940", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:21:07Z", "type": "Dataset", "title": "Long-term data from field erosion plot studies in eastern Austria", "description": "Long-term runoff plot experiments were conducted at three sites in eastern Austria to evaluate the impact of conservation tillage. Following soil tillage treatments were investigated: 1) conventional tillage with ploughing in fall (CT), 2) mulch tillage with cover crops during winter period (MT), and 3) no tillage with cover crops during winter period (NT). Soil textures range from silt loam to loam. Datasets include for each site and each year the period of operation of the plots, the planted crop, the annual precipitation, surface runoff, soil loss, surface losses of nitrogen, phopshorus and soil organic carbon as well as absolute and relative crop yields.", "keywords": ["2. Zero hunger", "soil erosion", " surface runoff", " field erosion plots", " no-till", " tillage practices", "runoff plots", " conservation tillage", " soil erosion", " surface runoff", " crop yield", " nutrient losses", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Klik, Andreas, Rosner. Josef,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3660940"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3660940", "name": "item", "description": "10.5281/zenodo.3660940", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3660940"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-11T00:00:00Z"}}, {"id": "2318/1945820", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:22:47Z", "type": "Journal Article", "created": "2023-09-15", "title": "Testing CASE: A new event\u2010based Morgan\u2010Morgan\u2010Finney\u2010type erosion model for different rainfall experimental scenarios", "description": "Abstract

Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan\uffe2\uff80\uff90Morgan\uffe2\uff80\uff90Finney (MMF)\uffe2\uff80\uff90type model was developed, representing a balanced position between physically\uffe2\uff80\uff90based and empirical modelling approaches. The resulting model termed \uffe2\uff80\uff98calculator for soil erosion\uffe2\uff80\uff99 (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high\uffe2\uff80\uff90intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte\uffe2\uff80\uff90Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF\uffe2\uff80\uff90type models, or with similar datasets.