ESTIMATION OF STREAMFLOW, BASE FLOW, AND NITRATE‐NITROGEN LOADS IN IOWA USING MULTIPLE LINEAR REGRESSION MODELS
Identifieur interne : 000D55 ( Main/Curation ); précédent : 000D54; suivant : 000D56ESTIMATION OF STREAMFLOW, BASE FLOW, AND NITRATE‐NITROGEN LOADS IN IOWA USING MULTIPLE LINEAR REGRESSION MODELS
Auteurs : Keith E. Schilling [États-Unis] ; Calvin F. Walter [États-Unis]Source :
- JAWRA Journal of the American Water Resources Association [ 1093-474X ] ; 2005-12.
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Abstract
Nineteen variables, including precipitation, soils and geology, land use, and basin morphologic characteristics, were evaluated to develop Iowa regression models to predict total streamflow (Q), base flow (Qb), storm flow (Qs) and base flow percentage (%Qb) in gauged and ungauged watersheds in the state. Discharge records from a set of 33 watersheds across the state for the 1980 to 2000 period were separated into Qb and Qs. Multiple linear regression found that 75.5 percent of long term average Q was explained by rainfall, sand content, and row crop percentage variables, whereas 88.5 percent of Qb was explained by these three variables plus permeability and floodplain area variables. Qs was explained by average rainfall and %Qb was a function of row crop percentage, permeability, and basin slope variables. Regional regression models developed for long term average Q and Qb were adapted to annual rainfall and showed good correlation between measured and predicted values. Combining the regression model for Q with an estimate of mean annual nitrate concentration, a map of potential nitrate loads in the state was produced. Results from this study have important implications for understanding geomorphic and land use controls on streamflow and base flow in Iowa watersheds and similar agriculture dominated watersheds in the glaciated Midwest.
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DOI: 10.1111/j.1752-1688.2005.tb03803.x
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Schilling</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><placeName><region type="state">Iowa</region></placeName><wicri:cityArea>Respectively, Research Geologist and GIS Coordinator, Iowa Geological Survey, 109 Trowbridge Hall, Iowa City</wicri:cityArea></affiliation></author><author><name sortKey="Walter, Calvin F" sort="Walter, Calvin F" uniqKey="Walter C" first="Calvin F." last="Walter">Calvin F. Walter</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><placeName><region type="state">Iowa</region></placeName><wicri:cityArea>Respectively, Research Geologist and GIS Coordinator, Iowa Geological Survey, 109 Trowbridge Hall, Iowa City</wicri:cityArea></affiliation></author></analytic><monogr></monogr><series><title level="j">JAWRA Journal of the American Water Resources Association</title><idno type="ISSN">1093-474X</idno><idno type="eISSN">1752-1688</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2005-12">2005-12</date><biblScope unit="volume">41</biblScope><biblScope unit="issue">6</biblScope><biblScope unit="page" from="1333">1333</biblScope><biblScope unit="page" to="1346">1346</biblScope></imprint><idno type="ISSN">1093-474X</idno></series><idno type="istex">14A04656A43C1D4C56F3C684EEBFF80B4FC2A4F0</idno><idno type="DOI">10.1111/j.1752-1688.2005.tb03803.x</idno><idno type="ArticleID">JAWR1333</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1093-474X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Iowa</term><term>agricultural hydrology</term><term>base flow</term><term>loads</term><term>nitrate</term><term>streamflow</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Nineteen variables, including precipitation, soils and geology, land use, and basin morphologic characteristics, were evaluated to develop Iowa regression models to predict total streamflow (Q), base flow (Qb), storm flow (Qs) and base flow percentage (%Qb) in gauged and ungauged watersheds in the state. Discharge records from a set of 33 watersheds across the state for the 1980 to 2000 period were separated into Qb and Qs. Multiple linear regression found that 75.5 percent of long term average Q was explained by rainfall, sand content, and row crop percentage variables, whereas 88.5 percent of Qb was explained by these three variables plus permeability and floodplain area variables. Qs was explained by average rainfall and %Qb was a function of row crop percentage, permeability, and basin slope variables. Regional regression models developed for long term average Q and Qb were adapted to annual rainfall and showed good correlation between measured and predicted values. Combining the regression model for Q with an estimate of mean annual nitrate concentration, a map of potential nitrate loads in the state was produced. Results from this study have important implications for understanding geomorphic and land use controls on streamflow and base flow in Iowa watersheds and similar agriculture dominated watersheds in the glaciated Midwest.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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