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Description of nine nutrient loss models: Capabilities and suitability based on their characteristics
- Source :
- BASE-Bielefeld Academic Search Engine, Journal of Environmental Monitoring 11 (2009), Schoumans, O F, Silgram, M, Groenendijk, P, Bouraoui, F, Andersen, H E, Kronvang, B, Behrendt, H, Arheimer, B, Johnsson, H, Panagopoulos, Y, Mimikou, M, Porto, A L, Reisser, H, Le Gall, G, Barr, A & Anthony, S G 2009, ' Description of nine nutrient loss models: capabilities and suitability based on their characteristics ', Journal of Environmental Monitoring, vol. 11, pp. 506-514 . https://doi.org/10.1039/b823239c, Journal of environmental monitoring, 11(3) (2009): 506–514. doi:10.1039/b823239c, info:cnr-pdr/source/autori:SCHOUMANS O., SILGRAM M., GROENENDIJK P., BOURAOUI F., MIMIKOU M., LO PORTO A., ANDERSEN H., KRONGVANG B., BEHRENDT H., ANTHONY S./titolo:DESCRIPTION OF NINE NUTRIENT LOSS MODELS: CAPABILITIES AND SUITABILITY BASED ON THEIR CHARACTERISTICS/doi:10.1039%2Fb823239c/rivista:Journal of environmental monitoring (Print)/anno:2009/pagina_da:506/pagina_a:514/intervallo_pagine:506–514/volume:11(3), Journal of Environmental Monitoring, 11, 506-514
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Abstract
- In EUROHARP, an EC Framework V project, which started in 2002 with 21 partners in 17 countries across Europe, a detailed intercomparison of contemporary catchment-scale modelling approaches was undertaken to characterise the relative importance of point and diffuse pollution of nutrients in surface freshwater systems. The study focused on the scientific evaluation of different modelling approaches, which were validated on three core catchments (the Ouse, UK; the Vansjo-Hobøl, Norway; and the Enza, Italy), and the application of each tool to three additional, randomly chosen catchments across Europe. The tools involved differ profoundly in their complexity, level of process representation and data requirements. The tools include simple loading models, statistical, conceptual and empirical model approaches, and physics-based (mechanistic) models. The results of a scientific intercomparison of the characteristics of these different model approaches are described. This includes an analysis of potential strengths and weaknesses of the nutrient models.<br />JRC.H.5-Rural, water and ecosystem resources
- Subjects :
- Conservation of Natural Resources
Nutrient loss
Process representation
Management, Monitoring, Policy and Law
nitrogen
Rivers
Water Supply
Water Movements
Water Pollution, Chemical
Alterra - Centre for Water and Climate
Computer Simulation
Wageningen Environmental Research
Diffuse pollution
Hydrology
business.industry
sweden
Environmental resource management
Public Health, Environmental and Occupational Health
Agriculture
source apportionment
General Medicine
Models, Theoretical
Europe
NITROGEN
SOURCE APPORTIONMENT
Environmental science
business
Freshwater systems
Water Pollutants, Chemical
Strengths and weaknesses
Environmental Monitoring
Alterra - Centrum Water en Klimaat
Subjects
Details
- ISSN :
- 14640325
- Database :
- OpenAIRE
- Journal :
- BASE-Bielefeld Academic Search Engine, Journal of Environmental Monitoring 11 (2009), Schoumans, O F, Silgram, M, Groenendijk, P, Bouraoui, F, Andersen, H E, Kronvang, B, Behrendt, H, Arheimer, B, Johnsson, H, Panagopoulos, Y, Mimikou, M, Porto, A L, Reisser, H, Le Gall, G, Barr, A & Anthony, S G 2009, ' Description of nine nutrient loss models: capabilities and suitability based on their characteristics ', Journal of Environmental Monitoring, vol. 11, pp. 506-514 . https://doi.org/10.1039/b823239c, Journal of environmental monitoring, 11(3) (2009): 506–514. doi:10.1039/b823239c, info:cnr-pdr/source/autori:SCHOUMANS O., SILGRAM M., GROENENDIJK P., BOURAOUI F., MIMIKOU M., LO PORTO A., ANDERSEN H., KRONGVANG B., BEHRENDT H., ANTHONY S./titolo:DESCRIPTION OF NINE NUTRIENT LOSS MODELS: CAPABILITIES AND SUITABILITY BASED ON THEIR CHARACTERISTICS/doi:10.1039%2Fb823239c/rivista:Journal of environmental monitoring (Print)/anno:2009/pagina_da:506/pagina_a:514/intervallo_pagine:506–514/volume:11(3), Journal of Environmental Monitoring, 11, 506-514
- Accession number :
- edsair.doi.dedup.....dc0d576991e5d532359e1d7629555653
- Full Text :
- https://doi.org/10.1039/b823239c