Use of spatial surrogates to assess the potential for non‐point source pollution in large watersheds
Identifieur interne : 000C03 ( Istex/Corpus ); précédent : 000C02; suivant : 000C04Use of spatial surrogates to assess the potential for non‐point source pollution in large watersheds
Auteurs : Heidi L. N. Moltz ; Walter Rast ; Vicente L. Lopes ; Stephen J. VenturaSource :
- Lakes & Reservoirs: Research & Management [ 1320-5331 ] ; 2011-03.
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- KwdEn :
Abstract
Sediment represents a major non‐point source pollutant throughout the world. In addition to reduced agricultural productivity as the result of the loss of fertile soil, soil erosion also can have significant water‐quality impacts in downstream waterbodies, reducing water transparency, degrading aquatic habitats and reducing the operational life and water storage capacity of reservoirs producing hydroelectric power. Various other pollutants also can absorb to sediment particles, creating additional downstream water‐quality concerns for humans and the natural environment. In view of its human and environmental significance, two indices (an erosion index and runoff index) were developed to identify areas within the US portion of the Rio Grande Basin exhibiting physical characteristics conducive to producing significant non‐point source pollution loads, focusing on land erosion as a sediment source. The erosion index is an adaptation of the Universal Soil Loss Equation, being the product of rainfall erosivity (R factor), soil erodibility (K factor), and a topographic factor (LS factor). The erosion index correlated well with measurements of sediment yields from runoff plots. The Curve Number was used as the runoff index. In conjunction with identified pollutant‐generating land uses, or source landscapes, these indices were used to identify sub‐watersheds within the US portion of the Rio Grande Basin that merit further investigation for non‐point source pollution prevention and control via the use of hydrologic modelling techniques.
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DOI: 10.1111/j.1440-1770.2011.00460.x
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In addition to reduced agricultural productivity as the result of the loss of fertile soil, soil erosion also can have significant water‐quality impacts in downstream waterbodies, reducing water transparency, degrading aquatic habitats and reducing the operational life and water storage capacity of reservoirs producing hydroelectric power. Various other pollutants also can absorb to sediment particles, creating additional downstream water‐quality concerns for humans and the natural environment. In view of its human and environmental significance, two indices (an erosion index and runoff index) were developed to identify areas within the US portion of the Rio Grande Basin exhibiting physical characteristics conducive to producing significant non‐point source pollution loads, focusing on land erosion as a sediment source. The erosion index is an adaptation of the Universal Soil Loss Equation, being the product of rainfall erosivity (R factor), soil erodibility (K factor), and a topographic factor (LS factor). The erosion index correlated well with measurements of sediment yields from runoff plots. The Curve Number was used as the runoff index. In conjunction with identified pollutant‐generating land uses, or source landscapes, these indices were used to identify sub‐watersheds within the US portion of the Rio Grande Basin that merit further investigation for non‐point source pollution prevention and control via the use of hydrologic modelling techniques.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Heidi L. N. 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N.</forename><surname>Moltz</surname></persName><email>hmoltz@icprb.org</email><note type="biography">Present address: Interstate Commission on the Potomac River Basin, Rockville, MD, USA.</note><affiliation>Present address: Interstate Commission on the Potomac River Basin, Rockville, MD, USA.</affiliation><affiliation>Aquatic Resources Program, Department of Biology, Texas State University, San Marcos, TX</affiliation></author><author xml:id="author-2"><persName><forename type="first">Walter</forename><surname>Rast</surname></persName><affiliation>Aquatic Resources Program, Department of Biology, Texas State University, San Marcos, TX</affiliation></author><author xml:id="author-3"><persName><forename type="first">Vicente L.</forename><surname>Lopes</surname></persName><affiliation>Aquatic Resources Program, Department of Biology, Texas State University, San Marcos, TX</affiliation></author><author xml:id="author-4"><persName><forename type="first">Stephen J.</forename><surname>Ventura</surname></persName><affiliation>Department of Soil Science, University of Wisconsin, Madison, WI, USA</affiliation></author></analytic><monogr><title level="j">Lakes & Reservoirs: Research & Management</title><idno type="pISSN">1320-5331</idno><idno type="eISSN">1440-1770</idno><idno type="DOI">10.1111/(ISSN)1440-1770</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2011-03"></date><biblScope unit="volume">16</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="3">3</biblScope><biblScope unit="page" to="13">13</biblScope></imprint></monogr><idno type="istex">43ACAD18E3ED2C7C2DD5EED0017C47B8FC8B4E1D</idno><idno type="DOI">10.1111/j.1440-1770.2011.00460.x</idno><idno type="ArticleID">LRE460</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2011</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Sediment represents a major non‐point source pollutant throughout the world. 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The erosion index is an adaptation of the Universal Soil Loss Equation, being the product of rainfall erosivity (R factor), soil erodibility (K factor), and a topographic factor (LS factor). The erosion index correlated well with measurements of sediment yields from runoff plots. The Curve Number was used as the runoff index. In conjunction with identified pollutant‐generating land uses, or source landscapes, these indices were used to identify sub‐watersheds within the US portion of the Rio Grande Basin that merit further investigation for non‐point source pollution prevention and control via the use of hydrologic modelling techniques.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>Curve Number</term></item><item><term>erosion hazard</term></item><item><term>non‐point source pollution</term></item><item><term>reservoir sedimentation</term></item><item><term>Rio Grande</term></item><item><term>risk assessment</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2011-03">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/43ACAD18E3ED2C7C2DD5EED0017C47B8FC8B4E1D/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Publishing Ltd</publisherName><publisherLoc>Oxford, UK</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1440-1770</doi><issn type="print">1320-5331</issn><issn type="electronic">1440-1770</issn><idGroup><id type="product" value="LRE"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="LAKES RESERVOIRS RESEARCH MANAGEMENT">Lakes & Reservoirs: Research & Management</title></titleGroup></publicationMeta><publicationMeta level="part" position="03101"><doi origin="wiley">10.1111/lre.2011.16.issue-1</doi><numberingGroup><numbering type="journalVolume" number="16">16</numbering><numbering type="journalIssue" number="1">1</numbering></numberingGroup><coverDate startDate="2011-03">March 2011</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="2" status="forIssue"><doi origin="wiley">10.1111/j.1440-1770.2011.00460.x</doi><idGroup><id type="unit" value="LRE460"></id></idGroup><countGroup><count type="pageTotal" number="11"></count></countGroup><titleGroup><title type="tocHeading1">FEATURE ARTICLES</title></titleGroup><copyright>© 2011 The Authors. Journal compilation © 2011 Blackwell Publishing Asia Pty Ltd</copyright><eventGroup><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.4.8 mode:FullText" date="2011-04-24"></event><event type="publishedOnlineFinalForm" date="2011-04-20"></event><event type="firstOnline" date="2011-04-20"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-02-01"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-31"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="3">3</numbering><numbering type="pageLast" number="13">13</numbering></numberingGroup><correspondenceTo> Corresponding author. Email: <email>hmoltz@icprb.org</email></correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:LRE.LRE460.pdf"></link></linkGroup></publicationMeta><contentMeta><unparsedEditorialHistory>Accepted for publication 12 September 2010.</unparsedEditorialHistory><countGroup><count type="figureTotal" number="8"></count><count type="tableTotal" number="5"></count></countGroup><titleGroup><title type="main">Use of spatial surrogates to assess the potential for non‐point source pollution in large watersheds</title><title type="shortAuthors">H. L. N. Moltz <i>et al.</i></title><title type="short">Non‐point source pollution in large watersheds</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1" noteRef="#fn1" corresponding="yes"><personName><givenNames>Heidi L. N.</givenNames><familyName>Moltz</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a1"><personName><givenNames>Walter</givenNames><familyName>Rast</familyName></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a1"><personName><givenNames>Vicente L.</givenNames><familyName>Lopes</familyName></personName></creator><creator creatorRole="author" xml:id="cr4" affiliationRef="#a2"><personName><givenNames>Stephen J.</givenNames><familyName>Ventura</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="US"><unparsedAffiliation>Aquatic Resources Program, Department of Biology, Texas State University, San Marcos, TX</unparsedAffiliation></affiliation><affiliation xml:id="a2" countryCode="US"><unparsedAffiliation>Department of Soil Science, University of Wisconsin, Madison, WI, USA</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">Curve Number</keyword><keyword xml:id="k2">erosion hazard</keyword><keyword xml:id="k3">non‐point source pollution</keyword><keyword xml:id="k4">reservoir sedimentation</keyword><keyword xml:id="k5">Rio Grande</keyword><keyword xml:id="k6">risk assessment</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>Sediment represents a major non‐point source pollutant throughout the world. In addition to reduced agricultural productivity as the result of the loss of fertile soil, soil erosion also can have significant water‐quality impacts in downstream waterbodies, reducing water transparency, degrading aquatic habitats and reducing the operational life and water storage capacity of reservoirs producing hydroelectric power. Various other pollutants also can absorb to sediment particles, creating additional downstream water‐quality concerns for humans and the natural environment. In view of its human and environmental significance, two indices (an erosion index and runoff index) were developed to identify areas within the US portion of the Rio Grande Basin exhibiting physical characteristics conducive to producing significant non‐point source pollution loads, focusing on land erosion as a sediment source. The erosion index is an adaptation of the Universal Soil Loss Equation, being the product of rainfall erosivity (<i>R</i> factor), soil erodibility (<i>K</i> factor), and a topographic factor (LS factor). The erosion index correlated well with measurements of sediment yields from runoff plots. The Curve Number was used as the runoff index. In conjunction with identified pollutant‐generating land uses, or source landscapes, these indices were used to identify sub‐watersheds within the US portion of the Rio Grande Basin that merit further investigation for non‐point source pollution prevention and control via the use of hydrologic modelling techniques.</p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="fn1"><p> Present address: Interstate Commission on the Potomac River Basin, Rockville, MD, USA.</p></note></noteGroup></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Use of spatial surrogates to assess the potential for non‐point source pollution in large watersheds</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Non‐point source pollution in large watersheds</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Use of spatial surrogates to assess the potential for non‐point source pollution in large watersheds</title></titleInfo><name type="personal"><namePart type="given">Heidi L. N.</namePart><namePart type="family">Moltz</namePart><affiliation>Aquatic Resources Program, Department of Biology, Texas State University, San Marcos, TX</affiliation><description>Present address: Interstate Commission on the Potomac River Basin, Rockville, MD, USA.</description><affiliation>E-mail: hmoltz@icprb.org</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Walter</namePart><namePart type="family">Rast</namePart><affiliation>Aquatic Resources Program, Department of Biology, Texas State University, San Marcos, TX</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Vicente L.</namePart><namePart type="family">Lopes</namePart><affiliation>Aquatic Resources Program, Department of Biology, Texas State University, San Marcos, TX</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Stephen J.</namePart><namePart type="family">Ventura</namePart><affiliation>Department of Soil Science, University of Wisconsin, Madison, WI, USA</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">2011-03</dateIssued><edition>Accepted for publication 12 September 2010.</edition><copyrightDate encoding="w3cdtf">2011</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">5</extent></physicalDescription><abstract lang="en">Sediment represents a major non‐point source pollutant throughout the world. In addition to reduced agricultural productivity as the result of the loss of fertile soil, soil erosion also can have significant water‐quality impacts in downstream waterbodies, reducing water transparency, degrading aquatic habitats and reducing the operational life and water storage capacity of reservoirs producing hydroelectric power. Various other pollutants also can absorb to sediment particles, creating additional downstream water‐quality concerns for humans and the natural environment. In view of its human and environmental significance, two indices (an erosion index and runoff index) were developed to identify areas within the US portion of the Rio Grande Basin exhibiting physical characteristics conducive to producing significant non‐point source pollution loads, focusing on land erosion as a sediment source. The erosion index is an adaptation of the Universal Soil Loss Equation, being the product of rainfall erosivity (R factor), soil erodibility (K factor), and a topographic factor (LS factor). The erosion index correlated well with measurements of sediment yields from runoff plots. The Curve Number was used as the runoff index. In conjunction with identified pollutant‐generating land uses, or source landscapes, these indices were used to identify sub‐watersheds within the US portion of the Rio Grande Basin that merit further investigation for non‐point source pollution prevention and control via the use of hydrologic modelling techniques.</abstract><subject lang="en"><genre>keywords</genre><topic>Curve Number</topic><topic>erosion hazard</topic><topic>non‐point source pollution</topic><topic>reservoir sedimentation</topic><topic>Rio Grande</topic><topic>risk assessment</topic></subject><relatedItem type="host"><titleInfo><title>Lakes & Reservoirs: Research & Management</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">1320-5331</identifier><identifier type="eISSN">1440-1770</identifier><identifier type="DOI">10.1111/(ISSN)1440-1770</identifier><identifier type="PublisherID">LRE</identifier><part><date>2011</date><detail type="volume"><caption>vol.</caption><number>16</number></detail><detail type="issue"><caption>no.</caption><number>1</number></detail><extent unit="pages"><start>3</start><end>13</end><total>11</total></extent></part></relatedItem><identifier type="istex">43ACAD18E3ED2C7C2DD5EED0017C47B8FC8B4E1D</identifier><identifier type="DOI">10.1111/j.1440-1770.2011.00460.x</identifier><identifier type="ArticleID">LRE460</identifier><accessCondition type="use and reproduction" contentType="copyright">© 2011 The Authors. 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