Estimation of Surface Water Quality Changes in Response to Land Use Change: Application of The Export Coefficient Model Using Remote Sensing and Geographical Information System
Identifieur interne : 001031 ( Istex/Corpus ); précédent : 001030; suivant : 001032Estimation of Surface Water Quality Changes in Response to Land Use Change: Application of The Export Coefficient Model Using Remote Sensing and Geographical Information System
Auteurs : Nandish M. Mattikalli ; Keith S. RichardsSource :
- Journal of Environmental Management [ 0301-4797 ] ; 1996.
English descriptors
- KwdEn :
Abstract
A trend of increasing solute (i.e. nitrogen and phosphorus) concentrations in surface water has been observed in the recent past. Solute concentrations have often exceeded the World Health Organization directives on the quality of drinking water. In predominantly rural watersheds of developed countries, increasing solute concentrations have been attributed to agricultural intensification (i.e. land use change) and increased fertilizer usage. This paper presents an approach based on remote sensing and Geographical Information System (GIS) to estimate and hindcast water quality changes using historical land use data for a watershed in eastern England. The water quality, as indexed by the nitrogen loading, was estimated using the export coefficient model. The model calculates solute loading at the outlet of a watershed using land use data, fertilizer application rates and export coefficients. Historical land use data were derived from a variety of sources including maps, aerial photographs and remotely-sensed Landsat and SPOT satellite images. Export coefficients indicate the proportion of the total nutrient lost to the surface water, and determine the amount of nutrient loading from various land use types. Export coefficients for various land use classes were compiled from literature. A GIS was necessary to store, manipulate and analyse large volumes of land use data, and to carry out land use change analysis. A number of special GIS routines were developed to carryout the model computations automatically. Results demonstrated that the model estimates nitrogen loading with an acceptable degree of accuracy. Analysis showed an overall increase of nitrogen loading from 1931–1984, after which it remained steady. Experiments were carried out to identify the separate effects of land use and fertilizer application on the nitrogen loading. The export coefficient model operating in a GIS has significant potential for the rapid estimation of surface water quality using land use data derived from remotely sensed satellite images.
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DOI: 10.1006/jema.1996.0077
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Solute concentrations have often exceeded the World Health Organization directives on the quality of drinking water. In predominantly rural watersheds of developed countries, increasing solute concentrations have been attributed to agricultural intensification (i.e. land use change) and increased fertilizer usage. This paper presents an approach based on remote sensing and Geographical Information System (GIS) to estimate and hindcast water quality changes using historical land use data for a watershed in eastern England. The water quality, as indexed by the nitrogen loading, was estimated using the export coefficient model. The model calculates solute loading at the outlet of a watershed using land use data, fertilizer application rates and export coefficients. Historical land use data were derived from a variety of sources including maps, aerial photographs and remotely-sensed Landsat and SPOT satellite images. Export coefficients indicate the proportion of the total nutrient lost to the surface water, and determine the amount of nutrient loading from various land use types. Export coefficients for various land use classes were compiled from literature. A GIS was necessary to store, manipulate and analyse large volumes of land use data, and to carry out land use change analysis. A number of special GIS routines were developed to carryout the model computations automatically. Results demonstrated that the model estimates nitrogen loading with an acceptable degree of accuracy. Analysis showed an overall increase of nitrogen loading from 1931–1984, after which it remained steady. Experiments were carried out to identify the separate effects of land use and fertilizer application on the nitrogen loading. The export coefficient model operating in a GIS has significant potential for the rapid estimation of surface water quality using land use data derived from remotely sensed satellite images.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Nandish M. Mattikalli</name><affiliations><json:string>Laboratory for Hydrospheric Processes, Hydrological Sciences Branch, Code 974, NASA Goddard Space Flight Center, Greenbelt, 20771, MD, U.S.A.</json:string></affiliations></json:item><json:item><name>Keith S. 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Solute concentrations have often exceeded the World Health Organization directives on the quality of drinking water. In predominantly rural watersheds of developed countries, increasing solute concentrations have been attributed to agricultural intensification (i.e. land use change) and increased fertilizer usage. This paper presents an approach based on remote sensing and Geographical Information System (GIS) to estimate and hindcast water quality changes using historical land use data for a watershed in eastern England. The water quality, as indexed by the nitrogen loading, was estimated using the export coefficient model. The model calculates solute loading at the outlet of a watershed using land use data, fertilizer application rates and export coefficients. Historical land use data were derived from a variety of sources including maps, aerial photographs and remotely-sensed Landsat and SPOT satellite images. Export coefficients indicate the proportion of the total nutrient lost to the surface water, and determine the amount of nutrient loading from various land use types. Export coefficients for various land use classes were compiled from literature. A GIS was necessary to store, manipulate and analyse large volumes of land use data, and to carry out land use change analysis. A number of special GIS routines were developed to carryout the model computations automatically. Results demonstrated that the model estimates nitrogen loading with an acceptable degree of accuracy. Analysis showed an overall increase of nitrogen loading from 1931–1984, after which it remained steady. Experiments were carried out to identify the separate effects of land use and fertilizer application on the nitrogen loading. 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Solute concentrations have often exceeded the World Health Organization directives on the quality of drinking water. In predominantly rural watersheds of developed countries, increasing solute concentrations have been attributed to agricultural intensification (i.e. land use change) and increased fertilizer usage. This paper presents an approach based on remote sensing and Geographical Information System (GIS) to estimate and hindcast water quality changes using historical land use data for a watershed in eastern England. The water quality, as indexed by the nitrogen loading, was estimated using the export coefficient model. The model calculates solute loading at the outlet of a watershed using land use data, fertilizer application rates and export coefficients. Historical land use data were derived from a variety of sources including maps, aerial photographs and remotely-sensed Landsat and SPOT satellite images. Export coefficients indicate the proportion of the total nutrient lost to the surface water, and determine the amount of nutrient loading from various land use types. Export coefficients for various land use classes were compiled from literature. A GIS was necessary to store, manipulate and analyse large volumes of land use data, and to carry out land use change analysis. A number of special GIS routines were developed to carryout the model computations automatically. Results demonstrated that the model estimates nitrogen loading with an acceptable degree of accuracy. Analysis showed an overall increase of nitrogen loading from 1931–1984, after which it remained steady. Experiments were carried out to identify the separate effects of land use and fertilizer application on the nitrogen loading. The export coefficient model operating in a GIS has significant potential for the rapid estimation of surface water quality using land use data derived from remotely sensed satellite images.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>nitrogen concentration</term></item><item><term>land use change</term></item><item><term>fertilizer usage</term></item><item><term>export coefficient model</term></item><item><term>remote sensing</term></item><item><term>geographical information system (GIS)</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1996">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2017-01-13">References added</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2017-01-16">References added</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/70DEF83A7EE5DDFAAAB5FBAFB6C9F609721F7FB8/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier converted-article found"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="mis" xml:lang="en"><item-info><jid>YJEMA</jid><aid>90077</aid><ce:pii>S0301-4797(96)90077-8</ce:pii><ce:doi>10.1006/jema.1996.0077</ce:doi><ce:copyright type="other" year="1996"></ce:copyright></item-info><head><ce:dochead><ce:textfn>Regular Paper</ce:textfn></ce:dochead><ce:title>Estimation of Surface Water Quality Changes in Response to Land Use Change: Application of The Export Coefficient Model Using Remote Sensing and Geographical Information System</ce:title><ce:author-group><ce:author><ce:given-name>Nandish M.</ce:given-name><ce:surname>Mattikalli</ce:surname><ce:cross-ref refid="A1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Keith S.</ce:given-name><ce:surname>Richards</ce:surname><ce:cross-ref refid="A2"><ce:sup>b</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="A1"><ce:label>a</ce:label><ce:textfn>Laboratory for Hydrospheric Processes, Hydrological Sciences Branch, Code 974, NASA Goddard Space Flight Center, Greenbelt, 20771, MD, U.S.A.</ce:textfn></ce:affiliation><ce:affiliation id="A2"><ce:label>b</ce:label><ce:textfn>Department of Geography, University of Cambridge, Downing Place, Cambridge, CB2 3EN, U.K.</ce:textfn></ce:affiliation></ce:author-group><ce:date-received day="20" month="10" year="1995"></ce:date-received><ce:date-accepted day="4" month="12" year="1995"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>A trend of increasing solute (i.e. nitrogen and phosphorus) concentrations in surface water has been observed in the recent past. Solute concentrations have often exceeded the World Health Organization directives on the quality of drinking water. In predominantly rural watersheds of developed countries, increasing solute concentrations have been attributed to agricultural intensification (i.e. land use change) and increased fertilizer usage. This paper presents an approach based on remote sensing and Geographical Information System (GIS) to estimate and hindcast water quality changes using historical land use data for a watershed in eastern England. The water quality, as indexed by the nitrogen loading, was estimated using the export coefficient model. The model calculates solute loading at the outlet of a watershed using land use data, fertilizer application rates and export coefficients. Historical land use data were derived from a variety of sources including maps, aerial photographs and remotely-sensed Landsat and SPOT satellite images. Export coefficients indicate the proportion of the total nutrient lost to the surface water, and determine the amount of nutrient loading from various land use types. Export coefficients for various land use classes were compiled from literature. A GIS was necessary to store, manipulate and analyse large volumes of land use data, and to carry out land use change analysis. A number of special GIS routines were developed to carryout the model computations automatically. Results demonstrated that the model estimates nitrogen loading with an acceptable degree of accuracy. Analysis showed an overall increase of nitrogen loading from 1931–1984, after which it remained steady. Experiments were carried out to identify the separate effects of land use and fertilizer application on the nitrogen loading. The export coefficient model operating in a GIS has significant potential for the rapid estimation of surface water quality using land use data derived from remotely sensed satellite images.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>nitrogen concentration</ce:text></ce:keyword><ce:keyword><ce:text>land use change</ce:text></ce:keyword><ce:keyword><ce:text>fertilizer usage</ce:text></ce:keyword><ce:keyword><ce:text>export coefficient model</ce:text></ce:keyword><ce:keyword><ce:text>remote sensing</ce:text></ce:keyword><ce:keyword><ce:text>geographical information system (GIS)</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Estimation of Surface Water Quality Changes in Response to Land Use Change: Application of The Export Coefficient Model Using Remote Sensing and Geographical Information System</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>Estimation of Surface Water Quality Changes in Response to Land Use Change: Application of The Export Coefficient Model Using Remote Sensing and Geographical Information System</title></titleInfo><name type="personal"><namePart type="given">Nandish M.</namePart><namePart type="family">Mattikalli</namePart><affiliation>Laboratory for Hydrospheric Processes, Hydrological Sciences Branch, Code 974, NASA Goddard Space Flight Center, Greenbelt, 20771, MD, U.S.A.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Keith S.</namePart><namePart type="family">Richards</namePart><affiliation>Department of Geography, University of Cambridge, Downing Place, Cambridge, CB2 3EN, U.K.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="other" displayLabel="Miscellaneous"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1996</dateIssued><copyrightDate encoding="w3cdtf">1996</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">A trend of increasing solute (i.e. nitrogen and phosphorus) concentrations in surface water has been observed in the recent past. Solute concentrations have often exceeded the World Health Organization directives on the quality of drinking water. In predominantly rural watersheds of developed countries, increasing solute concentrations have been attributed to agricultural intensification (i.e. land use change) and increased fertilizer usage. This paper presents an approach based on remote sensing and Geographical Information System (GIS) to estimate and hindcast water quality changes using historical land use data for a watershed in eastern England. The water quality, as indexed by the nitrogen loading, was estimated using the export coefficient model. The model calculates solute loading at the outlet of a watershed using land use data, fertilizer application rates and export coefficients. Historical land use data were derived from a variety of sources including maps, aerial photographs and remotely-sensed Landsat and SPOT satellite images. Export coefficients indicate the proportion of the total nutrient lost to the surface water, and determine the amount of nutrient loading from various land use types. Export coefficients for various land use classes were compiled from literature. A GIS was necessary to store, manipulate and analyse large volumes of land use data, and to carry out land use change analysis. A number of special GIS routines were developed to carryout the model computations automatically. Results demonstrated that the model estimates nitrogen loading with an acceptable degree of accuracy. Analysis showed an overall increase of nitrogen loading from 1931–1984, after which it remained steady. Experiments were carried out to identify the separate effects of land use and fertilizer application on the nitrogen loading. The export coefficient model operating in a GIS has significant potential for the rapid estimation of surface water quality using land use data derived from remotely sensed satellite images.</abstract><note type="content">Section title: Regular Paper</note><subject lang="en"><genre>Keywords</genre><topic>nitrogen concentration</topic><topic>land use change</topic><topic>fertilizer usage</topic><topic>export coefficient model</topic><topic>remote sensing</topic><topic>geographical information system (GIS)</topic></subject><relatedItem type="host"><titleInfo><title>Journal of Environmental Management</title></titleInfo><titleInfo type="abbreviated"><title>YJEMA</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199611</dateIssued></originInfo><identifier type="ISSN">0301-4797</identifier><identifier type="PII">S0301-4797(00)X0058-8</identifier><part><date>199611</date><detail type="volume"><number>48</number><caption>vol.</caption></detail><detail type="issue"><number>3</number><caption>no.</caption></detail><extent unit="issue pages"><start>201</start><end>303</end></extent><extent unit="pages"><start>263</start><end>282</end></extent></part></relatedItem><identifier type="istex">70DEF83A7EE5DDFAAAB5FBAFB6C9F609721F7FB8</identifier><identifier type="DOI">10.1006/jema.1996.0077</identifier><identifier type="PII">S0301-4797(96)90077-8</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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