Uncertainty in simulated nitrate leaching due to uncertainty in input data. A case study
Identifieur interne : 000781 ( Istex/Corpus ); précédent : 000780; suivant : 000782Uncertainty in simulated nitrate leaching due to uncertainty in input data. A case study
Auteurs : S. Hansen ; M. Thorsen ; E. J. Pebesma ; S. Kleeschulte ; H. SvendsenSource :
- Soil Use and Management [ 0266-0032 ] ; 1999-09.
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Abstract
Abstract. Deterministic leaching models are used to estimate regional losses of nitrate from agricultural land to the environment. The estimated leaching losses are associated with uncertainty arising from uncertainty in the input data used. In the present case study we have assessed this uncertainty by use of Monte Carlo analysis, using the Latin hypercube sampling technique. Input data have preferably been adopted from publicly available data. Data which could not be retrieved from the databases was assessed by guided estimates or based on local data. The estimated annual leaching loss from the study region was around 106 kg N ha−1, which is in agreement with previous findings. The uncertainty in the leaching expressed in terms of coefficients of variation (CV) depended on the agricultural practices. CV's for arable farm rotations, cattle farm rotations, and pig farm rotations were around 20, 30 and 40%, respectively. Breakdown of the total uncertainty into contributions of different error sources did not isolate one single all important source.
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DOI: 10.1111/j.1475-2743.1999.tb00083.x
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Thorsen</name><affiliation><mods:affiliation>Danish Hydraulic Institute, Agern Alle 5, Dk‐2970 Hørsholm, Denmark.</mods:affiliation></affiliation></author><author><name sortKey="Pebesma, E J" sort="Pebesma, E J" uniqKey="Pebesma E" first="E. J." last="Pebesma">E. J. Pebesma</name><affiliation><mods:affiliation>Landscape and Environmental Research Group, University of Amsterdam, Nieuwe Prinsengracht 130, NL‐1018 VZ Amsterdam, Netherlands.</mods:affiliation></affiliation></author><author><name sortKey="Kleeschulte, S" sort="Kleeschulte, S" uniqKey="Kleeschulte S" first="S." last="Kleeschulte">S. Kleeschulte</name><affiliation><mods:affiliation>Geografic Information Management, 9, rue Jean Pierre Sauvage, L‐2514 Luxembourg, Luxembourg.</mods:affiliation></affiliation></author><author><name sortKey="Svendsen, H" sort="Svendsen, H" uniqKey="Svendsen H" first="H." last="Svendsen">H. 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Svendsen</name><affiliation><mods:affiliation>The Royal Veterinary and Agricultural University, Department of Agricultural Sciences, Laboratory for Agrohydrology and Bioclimatology, Agrovej 10, DK‐2630 Taastrup, Denmark, Fax: +45 35 28 33 84; E‐mail: sha@kvl.dk</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Soil Use and Management</title><idno type="ISSN">0266-0032</idno><idno type="eISSN">1475-2743</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="1999-09">1999-09</date><biblScope unit="volume">15</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="167">167</biblScope><biblScope unit="page" to="175">175</biblScope></imprint><idno type="ISSN">0266-0032</idno></series><idno type="istex">963DA2E09E08AFF4D6AC23FB481847FB616E0C58</idno><idno type="DOI">10.1111/j.1475-2743.1999.tb00083.x</idno><idno type="ArticleID">SUM167</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0266-0032</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Monte Carlo method</term><term>Nitrate</term><term>leaching</term><term>models</term><term>simulation</term><term>uncertainty</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">Abstract. Deterministic leaching models are used to estimate regional losses of nitrate from agricultural land to the environment. The estimated leaching losses are associated with uncertainty arising from uncertainty in the input data used. In the present case study we have assessed this uncertainty by use of Monte Carlo analysis, using the Latin hypercube sampling technique. Input data have preferably been adopted from publicly available data. Data which could not be retrieved from the databases was assessed by guided estimates or based on local data. The estimated annual leaching loss from the study region was around 106 kg N ha−1, which is in agreement with previous findings. The uncertainty in the leaching expressed in terms of coefficients of variation (CV) depended on the agricultural practices. CV's for arable farm rotations, cattle farm rotations, and pig farm rotations were around 20, 30 and 40%, respectively. Breakdown of the total uncertainty into contributions of different error sources did not isolate one single all important source.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>S. Hansen</name><affiliations><json:string>The Royal Veterinary and Agricultural University, Department of Agricultural Sciences, Laboratory for Agrohydrology and Bioclimatology, Agrovej 10, DK‐2630 Taastrup, Denmark, Fax: +45 35 28 33 84; E‐mail: sha@kvl.dk</json:string><json:string>Corresponding author.</json:string></affiliations></json:item><json:item><name>M. Thorsen</name><affiliations><json:string>Danish Hydraulic Institute, Agern Alle 5, Dk‐2970 Hørsholm, Denmark.</json:string></affiliations></json:item><json:item><name>E.J. Pebesma</name><affiliations><json:string>Landscape and Environmental Research Group, University of Amsterdam, Nieuwe Prinsengracht 130, NL‐1018 VZ Amsterdam, Netherlands.</json:string></affiliations></json:item><json:item><name>S. 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Deterministic leaching models are used to estimate regional losses of nitrate from agricultural land to the environment. The estimated leaching losses are associated with uncertainty arising from uncertainty in the input data used. In the present case study we have assessed this uncertainty by use of Monte Carlo analysis, using the Latin hypercube sampling technique. Input data have preferably been adopted from publicly available data. Data which could not be retrieved from the databases was assessed by guided estimates or based on local data. The estimated annual leaching loss from the study region was around 106 kg N ha−1, which is in agreement with previous findings. The uncertainty in the leaching expressed in terms of coefficients of variation (CV) depended on the agricultural practices. CV's for arable farm rotations, cattle farm rotations, and pig farm rotations were around 20, 30 and 40%, respectively. 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A case study</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1" corresponding="yes"><personName><givenNames>S.</givenNames><familyName>Hansen</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a2"><personName><givenNames>M.</givenNames><familyName>Thorsen</familyName></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a3"><personName><givenNames>E.J.</givenNames><familyName>Pebesma</familyName></personName></creator><creator creatorRole="author" xml:id="cr4" affiliationRef="#a4"><personName><givenNames>S.</givenNames><familyName>Kleeschulte</familyName></personName></creator><creator creatorRole="author" xml:id="cr5" affiliationRef="#a1"><personName><givenNames>H.</givenNames><familyName>Svendsen</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="DK"><unparsedAffiliation> The Royal Veterinary and Agricultural University, Department of Agricultural Sciences, Laboratory for Agrohydrology and Bioclimatology, Agrovej 10, DK‐2630 Taastrup, Denmark, Fax: +45 35 28 33 84; E‐mail: <email>sha@kvl.dk</email></unparsedAffiliation></affiliation><affiliation xml:id="a2" countryCode="DK"><unparsedAffiliation>Danish Hydraulic Institute, Agern Alle 5, Dk‐2970 Hørsholm, Denmark.</unparsedAffiliation></affiliation><affiliation xml:id="a3" countryCode="NL"><unparsedAffiliation>Landscape and Environmental Research Group, University of Amsterdam, Nieuwe Prinsengracht 130, NL‐1018 VZ Amsterdam, Netherlands.</unparsedAffiliation></affiliation><affiliation xml:id="a4" countryCode="LU"><unparsedAffiliation>Geografic Information Management, 9, rue Jean Pierre Sauvage, L‐2514 Luxembourg, Luxembourg.</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">Nitrate</keyword><keyword xml:id="k2">leaching</keyword><keyword xml:id="k3">models</keyword><keyword xml:id="k4">Monte Carlo method</keyword><keyword xml:id="k5">uncertainty</keyword><keyword xml:id="k6">simulation</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><p><b>Abstract. </b> Deterministic leaching models are used to estimate regional losses of nitrate from agricultural land to the environment. The estimated leaching losses are associated with uncertainty arising from uncertainty in the input data used. In the present case study we have assessed this uncertainty by use of Monte Carlo analysis, using the Latin hypercube sampling technique. Input data have preferably been adopted from publicly available data. Data which could not be retrieved from the databases was assessed by guided estimates or based on local data. The estimated annual leaching loss from the study region was around 106 kg N ha<sup>−1</sup>, which is in agreement with previous findings. The uncertainty in the leaching expressed in terms of coefficients of variation (CV) depended on the agricultural practices. CV's for arable farm rotations, cattle farm rotations, and pig farm rotations were around 20, 30 and 40%, respectively. Breakdown of the total uncertainty into contributions of different error sources did not isolate one single all important source.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Uncertainty in simulated nitrate leaching due to uncertainty in input data. A case study</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Uncertainty in simulated nitrate leaching due to uncertainty in input data. A case study</title></titleInfo><name type="personal"><namePart type="given">S.</namePart><namePart type="family">Hansen</namePart><affiliation>The Royal Veterinary and Agricultural University, Department of Agricultural Sciences, Laboratory for Agrohydrology and Bioclimatology, Agrovej 10, DK‐2630 Taastrup, Denmark, Fax: +45 35 28 33 84; E‐mail: sha@kvl.dk</affiliation><affiliation>Corresponding author.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">M.</namePart><namePart type="family">Thorsen</namePart><affiliation>Danish Hydraulic Institute, Agern Alle 5, Dk‐2970 Hørsholm, Denmark.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">E.J.</namePart><namePart type="family">Pebesma</namePart><affiliation>Landscape and Environmental Research Group, University of Amsterdam, Nieuwe Prinsengracht 130, NL‐1018 VZ Amsterdam, Netherlands.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">S.</namePart><namePart type="family">Kleeschulte</namePart><affiliation>Geografic Information Management, 9, rue Jean Pierre Sauvage, L‐2514 Luxembourg, Luxembourg.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">H.</namePart><namePart type="family">Svendsen</namePart><affiliation>The Royal Veterinary and Agricultural University, Department of Agricultural Sciences, Laboratory for Agrohydrology and Bioclimatology, Agrovej 10, DK‐2630 Taastrup, Denmark, Fax: +45 35 28 33 84; E‐mail: sha@kvl.dk</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><place><placeTerm type="text">Oxford, UK</placeTerm></place><dateIssued encoding="w3cdtf">1999-09</dateIssued><edition>Received September 1998, accepted after revision March 1999.</edition><copyrightDate encoding="w3cdtf">1999</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="references">31</extent></physicalDescription><abstract>Abstract. Deterministic leaching models are used to estimate regional losses of nitrate from agricultural land to the environment. The estimated leaching losses are associated with uncertainty arising from uncertainty in the input data used. In the present case study we have assessed this uncertainty by use of Monte Carlo analysis, using the Latin hypercube sampling technique. Input data have preferably been adopted from publicly available data. Data which could not be retrieved from the databases was assessed by guided estimates or based on local data. The estimated annual leaching loss from the study region was around 106 kg N ha−1, which is in agreement with previous findings. The uncertainty in the leaching expressed in terms of coefficients of variation (CV) depended on the agricultural practices. CV's for arable farm rotations, cattle farm rotations, and pig farm rotations were around 20, 30 and 40%, respectively. Breakdown of the total uncertainty into contributions of different error sources did not isolate one single all important source.</abstract><subject lang="en"><genre>keywords</genre><topic>Nitrate</topic><topic>leaching</topic><topic>models</topic><topic>Monte Carlo method</topic><topic>uncertainty</topic><topic>simulation</topic></subject><relatedItem type="host"><titleInfo><title>Soil Use and Management</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">0266-0032</identifier><identifier type="eISSN">1475-2743</identifier><identifier type="DOI">10.1111/(ISSN)1475-2743</identifier><identifier type="PublisherID">SUM</identifier><part><date>1999</date><detail type="volume"><caption>vol.</caption><number>15</number></detail><detail type="issue"><caption>no.</caption><number>3</number></detail><extent unit="pages"><start>167</start><end>175</end><total>9</total></extent></part></relatedItem><identifier type="istex">963DA2E09E08AFF4D6AC23FB481847FB616E0C58</identifier><identifier type="DOI">10.1111/j.1475-2743.1999.tb00083.x</identifier><identifier type="ArticleID">SUM167</identifier><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Publishing Ltd</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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