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Ensemble modelling of nutrient loads and nutrient load partitioning in 17 European catchments

Identifieur interne : 001412 ( Istex/Corpus ); précédent : 001411; suivant : 001413

Ensemble modelling of nutrient loads and nutrient load partitioning in 17 European catchments

Auteurs : B. Kronvang ; H. Behrendtdeceased. ; H. E. Andersen ; B. Arheimer ; A. Barr ; S. A. Borgvang ; F. Bouraoui ; K. Granlund ; B. Grizzetti ; P. Groenendijk ; E. Schwaiger ; J. Hejzlar ; L. Hoffmann ; H. Johnsson ; Y. Panagopoulos ; A. Lo Porto ; H. Reisser ; O. Schoumans ; S. Anthony ; M. Silgram ; M. Venohr ; S. E. Larsen

Source :

RBID : ISTEX:6F5C1A159C0815067F011FFA0CF757B18A2F7D66

Abstract

An ensemble of nutrient models was applied in 17 European catchments to analyse the variation that appears after simulation of net nutrient loads and partitioning of nutrient loads at catchment scale. Eight models for N and five models for P were applied in three core catchments covering European-wide gradients in climate, topography, soil types and land use (Vansj-Hobl (Norway), Ouse (Yorkshire, UK) and Enza (Italy)). Moreover, each of the models was applied in 314 other EUROHARP catchments in order to inter-compare the outcome of the nutrient load partitioning at a wider European scale. The results of the nutrient load partitioning show a variation in the computed average annual nitrogen and phosphorus loss from agricultural land within the 17 catchments between 19.134.6 kg N ha1 and 0.121.67 kg P ha1. All the applied nutrient models show that the catchment specific variation (range and standard deviation) in the model results is lowest when simulating the net nutrient load and becomes increasingly higher for simulation of the gross nutrient loss from agricultural land and highest for the simulations of the gross nutrient loss from other diffuse sources in the core catchments. The average coefficient of variation for the model simulations of gross P loss from agricultural land is nearly twice as high (67%) as for the model simulations of gross N loss from agricultural land (40%). The variation involved in model simulations of net nutrient load and gross nutrient losses in European catchments was due to regional factors and the presence or absence of large lakes within the catchment.

Url:
DOI: 10.1039/b900101h

Links to Exploration step

ISTEX:6F5C1A159C0815067F011FFA0CF757B18A2F7D66

Le document en format XML

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<div type="abstract">An ensemble of nutrient models was applied in 17 European catchments to analyse the variation that appears after simulation of net nutrient loads and partitioning of nutrient loads at catchment scale. Eight models for N and five models for P were applied in three core catchments covering European-wide gradients in climate, topography, soil types and land use (Vansj-Hobl (Norway), Ouse (Yorkshire, UK) and Enza (Italy)). Moreover, each of the models was applied in 314 other EUROHARP catchments in order to inter-compare the outcome of the nutrient load partitioning at a wider European scale. The results of the nutrient load partitioning show a variation in the computed average annual nitrogen and phosphorus loss from agricultural land within the 17 catchments between 19.134.6 kg N ha1 and 0.121.67 kg P ha1. All the applied nutrient models show that the catchment specific variation (range and standard deviation) in the model results is lowest when simulating the net nutrient load and becomes increasingly higher for simulation of the gross nutrient loss from agricultural land and highest for the simulations of the gross nutrient loss from other diffuse sources in the core catchments. The average coefficient of variation for the model simulations of gross P loss from agricultural land is nearly twice as high (67%) as for the model simulations of gross N loss from agricultural land (40%). The variation involved in model simulations of net nutrient load and gross nutrient losses in European catchments was due to regional factors and the presence or absence of large lakes within the catchment.</div>
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<orgname>
<nameelt>EC-JRC</nameelt>
</orgname>
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</address>
</aff>
<aff id="affe">
<org>
<orgname>
<nameelt>Institut für Gewaesseroekologie und Binnenfischerei</nameelt>
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</org>
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</aff>
<aff id="afff">
<org>
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</aff>
<aff id="affg">
<org>
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<nameelt>Faculty of Civil Engineering</nameelt>
<nameelt>Department of Water Resources</nameelt>
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</aff>
<aff id="affh">
<org>
<orgname>
<nameelt>Instituto di Ricerca sulle Acque</nameelt>
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<address>
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<country>Italy</country>
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</aff>
<aff id="affi">
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<nameelt>Beture-Cerec Saint Quentin en Yvelines</nameelt>
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<address>
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<aff id="affj">
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<nameelt>Federal Environmental Agency Ltd. (FEA Ltd.)</nameelt>
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<country>Austria</country>
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<nameelt>Finnish Environment Institute (FEI)</nameelt>
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<nameelt>Kirk McClure Morton (KMM)</nameelt>
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<art-toc-entry>
<ictext>In this article the performance of an ensemble of eight nitrogen and five phosphorus models for model simulations of diffuse nutrient losses are evaluated across 17 European catchments.</ictext>
<icgraphic id="ga" src="ga"></icgraphic>
</art-toc-entry>
<abstract>
<p>An ensemble of nutrient models was applied in 17 European catchments to analyse the variation that appears after simulation of net nutrient loads and partitioning of nutrient loads at catchment scale. Eight models for N and five models for P were applied in three core catchments covering European-wide gradients in climate, topography, soil types and land use (Vansjø-Hobøl (Norway), Ouse (Yorkshire, UK) and Enza (Italy)). Moreover, each of the models was applied in 3–14 other EUROHARP catchments in order to inter-compare the outcome of the nutrient load partitioning at a wider European scale. The results of the nutrient load partitioning show a variation in the computed average annual nitrogen and phosphorus loss from agricultural land within the 17 catchments between 19.1–34.6 kg N ha
<sup>−1</sup>
and 0.12–1.67 kg P ha
<sup>−1</sup>
. All the applied nutrient models show that the catchment specific variation (range and standard deviation) in the model results is lowest when simulating the net nutrient load and becomes increasingly higher for simulation of the gross nutrient loss from agricultural land and highest for the simulations of the gross nutrient loss from other diffuse sources in the core catchments. The average coefficient of variation for the model simulations of gross P loss from agricultural land is nearly twice as high (67%) as for the model simulations of gross N loss from agricultural land (40%). The variation involved in model simulations of net nutrient load and gross nutrient losses in European catchments was due to regional factors and the presence or absence of large lakes within the catchment.</p>
</abstract>
</art-front>
<art-back>
<ack>
<p>This study was partly funded by the European Commission (contract no. EVK1-2001-00062).</p>
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<title>Ensemble modelling of nutrient loads and nutrient load partitioning in 17 European catchments</title>
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<title>Ensemble modelling of nutrient loads and nutrient load partitioning in 17 European catchments</title>
</titleInfo>
<name type="personal">
<namePart type="given">B.</namePart>
<namePart type="family">Kronvang</namePart>
<affiliation>National Environmental Research Institute, Silkeborg, Denmark</affiliation>
<affiliation>E-mail: BKR@DMU.DK</affiliation>
</name>
<name type="personal">
<namePart type="given">H.</namePart>
<namePart type="family">BehrendtDeceased.</namePart>
<affiliation>Institut fr Gewaesseroekologie und Binnenfischerei, Berlin, Germany</affiliation>
</name>
<name type="personal">
<namePart type="given">H. E.</namePart>
<namePart type="family">Andersen</namePart>
<affiliation>National Environmental Research Institute, Silkeborg, Denmark</affiliation>
<affiliation>E-mail: BKR@DMU.DK</affiliation>
</name>
<name type="personal">
<namePart type="given">B.</namePart>
<namePart type="family">Arheimer</namePart>
<affiliation>Swedish University of Agricultural Sciences, Uppsala, Sweden</affiliation>
</name>
<name type="personal">
<namePart type="given">A.</namePart>
<namePart type="family">Barr</namePart>
<affiliation>Kirk McClure Morton (KMM), Belfast, Ireland</affiliation>
</name>
<name type="personal">
<namePart type="given">S. A.</namePart>
<namePart type="family">Borgvang</namePart>
<affiliation>Bioforsk, Norwegian Institute for Agricultural and Environmental Research, Soil and Environment Division, s, Norway</affiliation>
</name>
<name type="personal">
<namePart type="given">F.</namePart>
<namePart type="family">Bouraoui</namePart>
<affiliation>EC-JRC, Ispra, Italy</affiliation>
</name>
<name type="personal">
<namePart type="given">K.</namePart>
<namePart type="family">Granlund</namePart>
<affiliation>Finnish Environment Institute (FEI), Helsinki, Finland</affiliation>
</name>
<name type="personal">
<namePart type="given">B.</namePart>
<namePart type="family">Grizzetti</namePart>
<affiliation>EC-JRC, Ispra, Italy</affiliation>
</name>
<name type="personal">
<namePart type="given">P.</namePart>
<namePart type="family">Groenendijk</namePart>
<affiliation>Alterra, 6700 AA, P.O. Box 47, Wageningen, Netherlands</affiliation>
</name>
<name type="personal">
<namePart type="given">E.</namePart>
<namePart type="family">Schwaiger</namePart>
<affiliation>Federal Environmental Agency Ltd. (FEA Ltd.), Vienna, Austria</affiliation>
</name>
<name type="personal">
<namePart type="given">J.</namePart>
<namePart type="family">Hejzlar</namePart>
<affiliation>National Environmental Research Institute, Silkeborg, Denmark</affiliation>
<affiliation>E-mail: BKR@DMU.DK</affiliation>
</name>
<name type="personal">
<namePart type="given">L.</namePart>
<namePart type="family">Hoffmann</namePart>
<affiliation>Centre de Recherche PublicGabriel Lippmann (CRP-GL), Luxembourg</affiliation>
</name>
<name type="personal">
<namePart type="given">H.</namePart>
<namePart type="family">Johnsson</namePart>
<affiliation>Swedish University of Agricultural Sciences, Uppsala, Sweden</affiliation>
</name>
<name type="personal">
<namePart type="given">Y.</namePart>
<namePart type="family">Panagopoulos</namePart>
<affiliation>National Technical University of Athens, Faculty of Civil Engineering, Department of Water Resources, Hydraulic and Maritime Engineering, Athens, Greece</affiliation>
</name>
<name type="personal">
<namePart type="given">A.</namePart>
<namePart type="family">Lo Porto</namePart>
<affiliation>Instituto di Ricerca sulle Acque, Bari, Italy</affiliation>
</name>
<name type="personal">
<namePart type="given">H.</namePart>
<namePart type="family">Reisser</namePart>
<affiliation>Beture-Cerec Saint Quentin en Yvelines, Lyon, France</affiliation>
</name>
<name type="personal">
<namePart type="given">O.</namePart>
<namePart type="family">Schoumans</namePart>
<affiliation>Alterra, 6700 AA, P.O. Box 47, Wageningen, Netherlands</affiliation>
</name>
<name type="personal">
<namePart type="given">S.</namePart>
<namePart type="family">Anthony</namePart>
<affiliation>ADAS Ltd, WV6 8TQ, Wergs Road, Wolverhampton, UK</affiliation>
</name>
<name type="personal">
<namePart type="given">M.</namePart>
<namePart type="family">Silgram</namePart>
<affiliation>ADAS Ltd, WV6 8TQ, Wergs Road, Wolverhampton, UK</affiliation>
</name>
<name type="personal">
<namePart type="given">M.</namePart>
<namePart type="family">Venohr</namePart>
<affiliation>Institut fr Gewaesseroekologie und Binnenfischerei, Berlin, Germany</affiliation>
</name>
<name type="personal">
<namePart type="given">S. E.</namePart>
<namePart type="family">Larsen</namePart>
<affiliation>National Environmental Research Institute, Silkeborg, Denmark</affiliation>
<affiliation>E-mail: BKR@DMU.DK</affiliation>
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<publisher>The Royal Society of Chemistry.</publisher>
<dateIssued encoding="w3cdtf">2009</dateIssued>
<copyrightDate encoding="w3cdtf">2009</copyrightDate>
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<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
<languageTerm type="code" authority="rfc3066">en</languageTerm>
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<abstract>An ensemble of nutrient models was applied in 17 European catchments to analyse the variation that appears after simulation of net nutrient loads and partitioning of nutrient loads at catchment scale. Eight models for N and five models for P were applied in three core catchments covering European-wide gradients in climate, topography, soil types and land use (Vansj-Hobl (Norway), Ouse (Yorkshire, UK) and Enza (Italy)). Moreover, each of the models was applied in 314 other EUROHARP catchments in order to inter-compare the outcome of the nutrient load partitioning at a wider European scale. The results of the nutrient load partitioning show a variation in the computed average annual nitrogen and phosphorus loss from agricultural land within the 17 catchments between 19.134.6 kg N ha1 and 0.121.67 kg P ha1. All the applied nutrient models show that the catchment specific variation (range and standard deviation) in the model results is lowest when simulating the net nutrient load and becomes increasingly higher for simulation of the gross nutrient loss from agricultural land and highest for the simulations of the gross nutrient loss from other diffuse sources in the core catchments. The average coefficient of variation for the model simulations of gross P loss from agricultural land is nearly twice as high (67%) as for the model simulations of gross N loss from agricultural land (40%). The variation involved in model simulations of net nutrient load and gross nutrient losses in European catchments was due to regional factors and the presence or absence of large lakes within the catchment.</abstract>
<note type="footnote" displayLabel="fn1">Part of a themed issue on the European harmonised procedures for quantification of nutrient losses from diffuse sources (EUROHARP). See http://euroharp.org.</note>
<note>In this article the performance of an ensemble of eight nitrogen and five phosphorus models for model simulations of diffuse nutrient losses are evaluated across 17 European catchments.</note>
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<title>Journal of Environmental Monitoring</title>
</titleInfo>
<titleInfo type="abbreviated">
<title>J. Environ. Monit.</title>
</titleInfo>
<genre type="journal">journal</genre>
<originInfo>
<publisher>The Royal Society of Chemistry.</publisher>
</originInfo>
<identifier type="ISSN">1464-0325</identifier>
<identifier type="eISSN">1464-0333</identifier>
<identifier type="coden">JEMOFW</identifier>
<identifier type="RSC sercode">EM</identifier>
<part>
<date>2009</date>
<detail type="volume">
<caption>vol.</caption>
<number>11</number>
</detail>
<detail type="issue">
<caption>no.</caption>
<number>3</number>
</detail>
<extent unit="pages">
<start>572</start>
<end>583</end>
<total>12</total>
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<identifier type="istex">6F5C1A159C0815067F011FFA0CF757B18A2F7D66</identifier>
<identifier type="DOI">10.1039/b900101h</identifier>
<identifier type="ms-id">b900101h</identifier>
<accessCondition type="use and reproduction" contentType="copyright">This journal is © The Royal Society of Chemistry</accessCondition>
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<recordContentSource>RSC Journals</recordContentSource>
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