Predicting storm runoff from different land‐use classes using a geographical information system‐based distributed model
Identifieur interne : 000B00 ( Istex/Corpus ); précédent : 000A99; suivant : 000B01Predicting storm runoff from different land‐use classes using a geographical information system‐based distributed model
Auteurs : Y. B. Liu ; S. Gebremeskel ; F. De Smedt ; L. Hoffmann ; L. PfisterSource :
- Hydrological Processes [ 0885-6087 ] ; 2006-02-28.
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Abstract
A method is presented to evaluate the storm runoff contributions from different land‐use class areas within a river basin using the geographical information system‐based hydrological model WetSpa. The modelling is based on division of the catchment into a grid mesh. Each cell has a unique response function independent of the functioning of other cells. Summation of the flow responses from the cells with the same land‐use type results in the storm runoff contribution from these areas. The model was applied on the Steinsel catchment in the Alzette river basin, Grand Duchy of Luxembourg, with 52 months of meteo‐hydrological measurements. The simulation results show that the direct runoff from urban areas is dominant for a flood event compared with runoff from other land‐use areas in this catchment, and this tends to increase for small floods and for the dry‐season floods, whereas the interflow from forested, pasture and agricultural field areas contributes to recession flow. It is demonstrated that the relative contribution from urban areas decreases with flow coefficient, that cropland relative contribution is nearly constant, and that the relative contribution from grassland and woodland increases with flow coefficient with regard to their percentage of land‐use class areas within the study catchment. Copyright © 2005 John Wiley & Sons, Ltd.
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DOI: 10.1002/hyp.5920
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ISTEX:702E7A016060F0F7ED543522C4B976BACD4D63B3Le document en format XML
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The modelling is based on division of the catchment into a grid mesh. Each cell has a unique response function independent of the functioning of other cells. Summation of the flow responses from the cells with the same land‐use type results in the storm runoff contribution from these areas. The model was applied on the Steinsel catchment in the Alzette river basin, Grand Duchy of Luxembourg, with 52 months of meteo‐hydrological measurements. The simulation results show that the direct runoff from urban areas is dominant for a flood event compared with runoff from other land‐use areas in this catchment, and this tends to increase for small floods and for the dry‐season floods, whereas the interflow from forested, pasture and agricultural field areas contributes to recession flow. It is demonstrated that the relative contribution from urban areas decreases with flow coefficient, that cropland relative contribution is nearly constant, and that the relative contribution from grassland and woodland increases with flow coefficient with regard to their percentage of land‐use class areas within the study catchment. Copyright © 2005 John Wiley & Sons, Ltd.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Y. B. Liu</name><affiliations><json:string>Department of Hydrology and Hydraulic Engineering, Vrije Universieit Brussel, Brussels, Belgium</json:string><json:string>Pleinlaan 2, Brussels, Belgium.===</json:string></affiliations></json:item><json:item><name>S. Gebremeskel</name><affiliations><json:string>Department of Hydrology and Hydraulic Engineering, Vrije Universieit Brussel, Brussels, Belgium</json:string></affiliations></json:item><json:item><name>F. 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It is demonstrated that the relative contribution from urban areas decreases with flow coefficient, that cropland relative contribution is nearly constant, and that the relative contribution from grassland and woodland increases with flow coefficient with regard to their percentage of land‐use class areas within the study catchment. 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It is demonstrated that the relative contribution from urban areas decreases with flow coefficient, that cropland relative contribution is nearly constant, and that the relative contribution from grassland and woodland increases with flow coefficient with regard to their percentage of land‐use class areas within the study catchment. 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The modelling is based on division of the catchment into a grid mesh. Each cell has a unique response function independent of the functioning of other cells. Summation of the flow responses from the cells with the same land‐use type results in the storm runoff contribution from these areas. The model was applied on the Steinsel catchment in the Alzette river basin, Grand Duchy of Luxembourg, with 52 months of meteo‐hydrological measurements. The simulation results show that the direct runoff from urban areas is dominant for a flood event compared with runoff from other land‐use areas in this catchment, and this tends to increase for small floods and for the dry‐season floods, whereas the interflow from forested, pasture and agricultural field areas contributes to recession flow. It is demonstrated that the relative contribution from urban areas decreases with flow coefficient, that cropland relative contribution is nearly constant, and that the relative contribution from grassland and woodland increases with flow coefficient with regard to their percentage of land‐use class areas within the study catchment. Copyright © 2005 John Wiley & Sons, Ltd.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Predicting storm runoff from different land‐use classes using a geographical information system‐based distributed model</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>PREDICTING STORM RUNOFF FROM DIFFERENT LAND‐USE CLASSES</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Predicting storm runoff from different land‐use classes using a geographical information system‐based distributed model</title></titleInfo><name type="personal"><namePart type="given">Y. B.</namePart><namePart type="family">Liu</namePart><affiliation>Department of Hydrology and Hydraulic Engineering, Vrije Universieit Brussel, Brussels, Belgium</affiliation><affiliation>Pleinlaan 2, Brussels, Belgium.===</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">S.</namePart><namePart type="family">Gebremeskel</namePart><affiliation>Department of Hydrology and Hydraulic Engineering, Vrije Universieit Brussel, Brussels, Belgium</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">F.</namePart><namePart type="family">De Smedt</namePart><affiliation>Department of Hydrology and Hydraulic Engineering, Vrije Universieit Brussel, Brussels, Belgium</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">L.</namePart><namePart type="family">Hoffmann</namePart><affiliation>Research Unit in Environment and Biotechnologies, Centre de Recherche Public—Gabriel Lippmann, 162a Avenue de la Faïencerie, L‐1511 Luxembourg, Grand Duchy of Luxembourg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">L.</namePart><namePart type="family">Pfister</namePart><affiliation>Research Unit in Environment and Biotechnologies, Centre de Recherche Public—Gabriel Lippmann, 162a Avenue de la Faïencerie, L‐1511 Luxembourg, Grand Duchy of Luxembourg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>John Wiley & Sons, Ltd.</publisher><place><placeTerm type="text">Chichester, UK</placeTerm></place><dateIssued encoding="w3cdtf">2006-02-28</dateIssued><dateCaptured encoding="w3cdtf">2004-01-05</dateCaptured><dateValid encoding="w3cdtf">2005-01-18</dateValid><copyrightDate encoding="w3cdtf">2006</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="figures">8</extent><extent unit="tables">4</extent><extent unit="references">22</extent></physicalDescription><abstract lang="en">A method is presented to evaluate the storm runoff contributions from different land‐use class areas within a river basin using the geographical information system‐based hydrological model WetSpa. The modelling is based on division of the catchment into a grid mesh. Each cell has a unique response function independent of the functioning of other cells. Summation of the flow responses from the cells with the same land‐use type results in the storm runoff contribution from these areas. The model was applied on the Steinsel catchment in the Alzette river basin, Grand Duchy of Luxembourg, with 52 months of meteo‐hydrological measurements. The simulation results show that the direct runoff from urban areas is dominant for a flood event compared with runoff from other land‐use areas in this catchment, and this tends to increase for small floods and for the dry‐season floods, whereas the interflow from forested, pasture and agricultural field areas contributes to recession flow. It is demonstrated that the relative contribution from urban areas decreases with flow coefficient, that cropland relative contribution is nearly constant, and that the relative contribution from grassland and woodland increases with flow coefficient with regard to their percentage of land‐use class areas within the study catchment. Copyright © 2005 John Wiley & Sons, Ltd.</abstract><subject lang="en"><genre>keywords</genre><topic>flood generation</topic><topic>storm runoff partitioning</topic><topic>land use</topic><topic>GIS</topic><topic>WetSpa</topic></subject><relatedItem type="host"><titleInfo><title>Hydrological Processes</title><subTitle>An International Journal</subTitle></titleInfo><titleInfo type="abbreviated"><title>Hydrol. Process.</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Research Article</topic></subject><identifier type="ISSN">0885-6087</identifier><identifier type="eISSN">1099-1085</identifier><identifier type="DOI">10.1002/(ISSN)1099-1085</identifier><identifier type="PublisherID">HYP</identifier><part><date>2006</date><detail type="volume"><caption>vol.</caption><number>20</number></detail><detail type="issue"><caption>no.</caption><number>3</number></detail><extent unit="pages"><start>533</start><end>548</end><total>16</total></extent></part></relatedItem><identifier type="istex">702E7A016060F0F7ED543522C4B976BACD4D63B3</identifier><identifier type="DOI">10.1002/hyp.5920</identifier><identifier type="ArticleID">HYP5920</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2005 John Wiley & Sons, Ltd.</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>John Wiley & Sons, Ltd.</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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