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Evaluation of the difference of eight model applications to assess diffuse annual nutrient losses from agricultural land

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dc.contributor.author Schoumans, OF en
dc.contributor.author Silgram, M en
dc.contributor.author Walvoort, DJJ en
dc.contributor.author Groenendijk, P en
dc.contributor.author Bouraoui, F en
dc.contributor.author Andersen, HE en
dc.contributor.author Lo Porto, A en
dc.contributor.author Reisser, H en
dc.contributor.author Le Gall, G en
dc.contributor.author Anthony, S en
dc.contributor.author Arheimer, B en
dc.contributor.author Johnsson, H en
dc.contributor.author Panagopoulos, Y en
dc.contributor.author Mimikou, M en
dc.contributor.author Zweynert, U en
dc.contributor.author Behrendt, H en
dc.contributor.author Barr, A en
dc.date.accessioned 2014-03-01T01:30:26Z
dc.date.available 2014-03-01T01:30:26Z
dc.date.issued 2009 en
dc.identifier.issn 14640325 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/19577
dc.subject Agricultural Land en
dc.subject Nutrient Loss en
dc.subject.other nitrate en
dc.subject.other nitrogen en
dc.subject.other phosphorus en
dc.subject.other surface water en
dc.subject.other agricultural land en
dc.subject.other article en
dc.subject.other catchment en
dc.subject.other concentration (parameters) en
dc.subject.other data analysis en
dc.subject.other flow kinetics en
dc.subject.other intermethod comparison en
dc.subject.other Italy en
dc.subject.other Norway en
dc.subject.other nutrient content en
dc.subject.other priority journal en
dc.subject.other process model en
dc.subject.other soil analysis en
dc.subject.other statistical model en
dc.subject.other United Kingdom en
dc.subject.other Agriculture en
dc.subject.other Conservation of Natural Resources en
dc.subject.other Environmental Monitoring en
dc.subject.other Europe en
dc.subject.other Models, Theoretical en
dc.subject.other Reproducibility of Results en
dc.subject.other Rivers en
dc.subject.other Soil en
dc.subject.other Water Movements en
dc.subject.other Water Pollutants, Chemical en
dc.subject.other Water Pollution, Chemical en
dc.title Evaluation of the difference of eight model applications to assess diffuse annual nutrient losses from agricultural land en
heal.type journalArticle en
heal.identifier.primary 10.1039/b823240g en
heal.identifier.secondary http://dx.doi.org/10.1039/b823240g en
heal.publicationDate 2009 en
heal.abstract The capability of eight nutrient models to predict annual nutrient losses (nitrogen and phosphorus) at catchment scale have been studied in the EUROHARP project. The methodologies involved in these models differ profoundly in their complexity, level of process representation and data requirements. This evaluation is focused on model performance in three core catchments: the Vansjø-Hobøl (Norway), the Ouse (Yorkshire, UK) and the Enza (Italy). These three different model applications have been evaluated by comparing calculated annual nutrient loads (total N or nitrate and total P), based on observed flow and total nitrogen or nitrate and total phosphorus concentrations, and the annual nutrient loads that were simulated by the eight nutrient models. Four statistics have been applied for this purpose: the root mean squared error (RMSE), the mean absolute error (MAE), the mean error (ME), and Nash-Sutcliffe's model efficiency (NS). The results show that all model approaches can predict the calculated annual discharges. Depending on the observed statistics (RMSE, MAE, ME and NS) the scores of the model application differed, therefore no overall 'best model' could be identified. Although the water and nutrient loads from (sub)catchments can be predicted, the modelled pathways of nutrients within agricultural land and the nutrient losses to surface waters from agricultural land vary among the catchments and among those model approaches which are able to make this distinction. © 2009 The Royal Society of Chemistry. en
heal.journalName Journal of Environmental Monitoring en
dc.identifier.doi 10.1039/b823240g en
dc.identifier.volume 11 en
dc.identifier.issue 3 en
dc.identifier.spage 540 en
dc.identifier.epage 553 en


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