Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides
Identifieur interne : 000002 ( Istex/Corpus ); précédent : 000001; suivant : 000003Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides
Auteurs : Robert F. Carsel ; Russell L. JonesSource :
- Groundwater Monitoring & Remediation [ 1069-3629 ] ; 1990-11.
Abstract
Various types of models are being used to evaluate pesticide transport and transformation in the unsaturated zone. Model predictions can be used, for example, to develop alternative agricultural management strategies for pesticide use. However, intensive data requirements for transient models sometimes deter their use. Site‐specific measurements are preferred, but existing data bases can be used as a source of required model parameters, especially weather and soil characteristics. These existing data bases make possible the use of models to predict leaching potential in a wide variety of environments.
Url:
DOI: 10.1111/j.1745-6592.1990.tb00026.x
Links to Exploration step
ISTEX:2A082F2127F07396D566A2705138B4FF7E0F7A8ELe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides</title><author><name sortKey="Carsel, Robert F" sort="Carsel, Robert F" uniqKey="Carsel R" first="Robert F." last="Carsel">Robert F. Carsel</name><affiliation><mods:affiliation>Robert E Carsel is an environmental scientist at the Environmental Research Laboratory of the U.S. Environmental Protection Agency (College Station Rd., Athens, GA 30613) responsible for the development and support of a number of models for predicting the environmental fate of agricultural chemicals. He received a B.S. in environmental health science and an M.S. in microbiology from the University of Georgia.</mods:affiliation></affiliation></author><author><name sortKey="Jones, Russell L" sort="Jones, Russell L" uniqKey="Jones R" first="Russell L." last="Jones">Russell L. Jones</name><affiliation><mods:affiliation>Russell L. Jones is a principal scientist in the Research and Development Department of Rhone‐Poulenc Ag Co. (P.O. Box 12014, Research Triangle Park, NC 27709) where he is responsible for managing research on the movement and degradation of agricultural chemicals in soil and ground water. He received a S.B. and a S.M. in chemical engineering from the Massachusetts Institute of Technology and a Ph.D. in chemical engineering from the University of California, Berkeley.</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:2A082F2127F07396D566A2705138B4FF7E0F7A8E</idno><date when="1990" year="1990">1990</date><idno type="doi">10.1111/j.1745-6592.1990.tb00026.x</idno><idno type="url">https://api.istex.fr/document/2A082F2127F07396D566A2705138B4FF7E0F7A8E/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000002</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000002</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides</title><author><name sortKey="Carsel, Robert F" sort="Carsel, Robert F" uniqKey="Carsel R" first="Robert F." last="Carsel">Robert F. Carsel</name><affiliation><mods:affiliation>Robert E Carsel is an environmental scientist at the Environmental Research Laboratory of the U.S. Environmental Protection Agency (College Station Rd., Athens, GA 30613) responsible for the development and support of a number of models for predicting the environmental fate of agricultural chemicals. He received a B.S. in environmental health science and an M.S. in microbiology from the University of Georgia.</mods:affiliation></affiliation></author><author><name sortKey="Jones, Russell L" sort="Jones, Russell L" uniqKey="Jones R" first="Russell L." last="Jones">Russell L. Jones</name><affiliation><mods:affiliation>Russell L. Jones is a principal scientist in the Research and Development Department of Rhone‐Poulenc Ag Co. (P.O. Box 12014, Research Triangle Park, NC 27709) where he is responsible for managing research on the movement and degradation of agricultural chemicals in soil and ground water. He received a S.B. and a S.M. in chemical engineering from the Massachusetts Institute of Technology and a Ph.D. in chemical engineering from the University of California, Berkeley.</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Groundwater Monitoring & Remediation</title><idno type="ISSN">1069-3629</idno><idno type="eISSN">1745-6592</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="1990-11">1990-11</date><biblScope unit="volume">10</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="96">96</biblScope><biblScope unit="page" to="101">101</biblScope></imprint><idno type="ISSN">1069-3629</idno></series><idno type="istex">2A082F2127F07396D566A2705138B4FF7E0F7A8E</idno><idno type="DOI">10.1111/j.1745-6592.1990.tb00026.x</idno><idno type="ArticleID">GWMR96</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1069-3629</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Various types of models are being used to evaluate pesticide transport and transformation in the unsaturated zone. Model predictions can be used, for example, to develop alternative agricultural management strategies for pesticide use. However, intensive data requirements for transient models sometimes deter their use. Site‐specific measurements are preferred, but existing data bases can be used as a source of required model parameters, especially weather and soil characteristics. These existing data bases make possible the use of models to predict leaching potential in a wide variety of environments.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Robert F. Carsel</name><affiliations><json:string>Robert E Carsel is an environmental scientist at the Environmental Research Laboratory of the U.S. Environmental Protection Agency (College Station Rd., Athens, GA 30613) responsible for the development and support of a number of models for predicting the environmental fate of agricultural chemicals. He received a B.S. in environmental health science and an M.S. in microbiology from the University of Georgia.</json:string></affiliations></json:item><json:item><name>Russell L. Jones</name><affiliations><json:string>Russell L. Jones is a principal scientist in the Research and Development Department of Rhone‐Poulenc Ag Co. (P.O. Box 12014, Research Triangle Park, NC 27709) where he is responsible for managing research on the movement and degradation of agricultural chemicals in soil and ground water. He received a S.B. and a S.M. in chemical engineering from the Massachusetts Institute of Technology and a Ph.D. in chemical engineering from the University of California, Berkeley.</json:string></affiliations></json:item></author><articleId><json:string>GWMR96</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>Various types of models are being used to evaluate pesticide transport and transformation in the unsaturated zone. Model predictions can be used, for example, to develop alternative agricultural management strategies for pesticide use. However, intensive data requirements for transient models sometimes deter their use. Site‐specific measurements are preferred, but existing data bases can be used as a source of required model parameters, especially weather and soil characteristics. These existing data bases make possible the use of models to predict leaching potential in a wide variety of environments.</abstract><qualityIndicators><score>1.094</score><pdfVersion>1.2</pdfVersion><pdfPageSize>599 x 844 pts</pdfPageSize><refBibsNative>true</refBibsNative><abstractCharCount>608</abstractCharCount><pdfWordCount>0</pdfWordCount><pdfCharCount>0</pdfCharCount><pdfPageCount>6</pdfPageCount><abstractWordCount>87</abstractWordCount></qualityIndicators><title>Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides</title><genre><json:string>article</json:string></genre><host><volume>10</volume><publisherId><json:string>GWMR</json:string></publisherId><pages><total>6</total><last>101</last><first>96</first></pages><issn><json:string>1069-3629</json:string></issn><issue>4</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>1745-6592</json:string></eissn><title>Groundwater Monitoring & Remediation</title><doi><json:string>10.1111/(ISSN)1745-6592</json:string></doi></host><categories><wos><json:string>science</json:string><json:string>water resources</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>engineering</json:string><json:string>environmental engineering</json:string></scienceMetrix></categories><publicationDate>1990</publicationDate><copyrightDate>1990</copyrightDate><doi><json:string>10.1111/j.1745-6592.1990.tb00026.x</json:string></doi><id>2A082F2127F07396D566A2705138B4FF7E0F7A8E</id><score>0.04751987</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/2A082F2127F07396D566A2705138B4FF7E0F7A8E/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/2A082F2127F07396D566A2705138B4FF7E0F7A8E/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/2A082F2127F07396D566A2705138B4FF7E0F7A8E/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><availability><p>WILEY</p></availability><date>1990</date></publicationStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides</title><author xml:id="author-1"><persName><forename type="first">Robert F.</forename><surname>Carsel</surname></persName><affiliation>Robert E Carsel is an environmental scientist at the Environmental Research Laboratory of the U.S. Environmental Protection Agency (College Station Rd., Athens, GA 30613) responsible for the development and support of a number of models for predicting the environmental fate of agricultural chemicals. He received a B.S. in environmental health science and an M.S. in microbiology from the University of Georgia.</affiliation></author><author xml:id="author-2"><persName><forename type="first">Russell L.</forename><surname>Jones</surname></persName><affiliation>Russell L. Jones is a principal scientist in the Research and Development Department of Rhone‐Poulenc Ag Co. (P.O. Box 12014, Research Triangle Park, NC 27709) where he is responsible for managing research on the movement and degradation of agricultural chemicals in soil and ground water. He received a S.B. and a S.M. in chemical engineering from the Massachusetts Institute of Technology and a Ph.D. in chemical engineering from the University of California, Berkeley.</affiliation></author></analytic><monogr><title level="j">Groundwater Monitoring & Remediation</title><idno type="pISSN">1069-3629</idno><idno type="eISSN">1745-6592</idno><idno type="DOI">10.1111/(ISSN)1745-6592</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="1990-11"></date><biblScope unit="volume">10</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="96">96</biblScope><biblScope unit="page" to="101">101</biblScope></imprint></monogr><idno type="istex">2A082F2127F07396D566A2705138B4FF7E0F7A8E</idno><idno type="DOI">10.1111/j.1745-6592.1990.tb00026.x</idno><idno type="ArticleID">GWMR96</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1990</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Various types of models are being used to evaluate pesticide transport and transformation in the unsaturated zone. Model predictions can be used, for example, to develop alternative agricultural management strategies for pesticide use. However, intensive data requirements for transient models sometimes deter their use. Site‐specific measurements are preferred, but existing data bases can be used as a source of required model parameters, especially weather and soil characteristics. These existing data bases make possible the use of models to predict leaching potential in a wide variety of environments.</p></abstract></profileDesc><revisionDesc><change when="1990-11">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/2A082F2127F07396D566A2705138B4FF7E0F7A8E/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)1745-6592</doi><issn type="print">1069-3629</issn><issn type="electronic">1745-6592</issn><idGroup><id type="product" value="GWMR"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" xml:lang="en">Groundwater Monitoring & Remediation</title></titleGroup></publicationMeta><publicationMeta level="part" position="11004"><doi origin="wiley">10.1111/gwmr.1990.10.issue-4</doi><numberingGroup><numbering type="journalVolume" number="10">10</numbering><numbering type="journalIssue" number="4">4</numbering></numberingGroup><coverDate startDate="1990-11">November 1990</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="0009600" status="forIssue"><doi origin="wiley">10.1111/j.1745-6592.1990.tb00026.x</doi><idGroup><id type="unit" value="GWMR96"></id></idGroup><countGroup><count type="pageTotal" number="6"></count></countGroup><eventGroup><event type="firstOnline" date="2007-02-22"></event><event type="publishedOnlineFinalForm" date="2007-02-22"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.2 mode:FullText source:HeaderRef result:HeaderRef" date="2010-02-28"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-27"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-24"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="96">96</numbering><numbering type="pageLast" number="101">101</numbering></numberingGroup><linkGroup><link type="toTypesetVersion" href="file:GWMR.GWMR96.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="referenceTotal" number="43"></count><count type="linksCrossRef" number="2"></count></countGroup><titleGroup><title type="main">Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1"><personName><givenNames>Robert F.</givenNames><familyName>Carsel</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a2"><personName><givenNames>Russell L.</givenNames><familyName>Jones</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="US"><unparsedAffiliation>Robert E Carsel is an environmental scientist at the Environmental Research Laboratory of the U.S. Environmental Protection Agency (College Station Rd., Athens, GA 30613) responsible for the development and support of a number of models for predicting the environmental fate of agricultural chemicals. He received a B.S. in environmental health science and an M.S. in microbiology from the University of Georgia.</unparsedAffiliation></affiliation><affiliation xml:id="a2"><unparsedAffiliation>Russell L. Jones is a principal scientist in the Research and Development Department of Rhone‐Poulenc Ag Co. (P.O. Box 12014, Research Triangle Park, NC 27709) where he is responsible for managing research on the movement and degradation of agricultural chemicals in soil and ground water. He received a S.B. and a S.M. in chemical engineering from the Massachusetts Institute of Technology and a Ph.D. in chemical engineering from the University of California, Berkeley.</unparsedAffiliation></affiliation></affiliationGroup><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>Various types of models are being used to evaluate pesticide transport and transformation in the unsaturated zone. Model predictions can be used, for example, to develop alternative agricultural management strategies for pesticide use. However, intensive data requirements for transient models sometimes deter their use. Site‐specific measurements are preferred, but existing data bases can be used as a source of required model parameters, especially weather and soil characteristics. These existing data bases make possible the use of models to predict leaching potential in a wide variety of environments.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides</title></titleInfo><name type="personal"><namePart type="given">Robert F.</namePart><namePart type="family">Carsel</namePart><affiliation>Robert E Carsel is an environmental scientist at the Environmental Research Laboratory of the U.S. Environmental Protection Agency (College Station Rd., Athens, GA 30613) responsible for the development and support of a number of models for predicting the environmental fate of agricultural chemicals. He received a B.S. in environmental health science and an M.S. in microbiology from the University of Georgia.</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Russell L.</namePart><namePart type="family">Jones</namePart><affiliation>Russell L. Jones is a principal scientist in the Research and Development Department of Rhone‐Poulenc Ag Co. (P.O. Box 12014, Research Triangle Park, NC 27709) where he is responsible for managing research on the movement and degradation of agricultural chemicals in soil and ground water. He received a S.B. and a S.M. in chemical engineering from the Massachusetts Institute of Technology and a Ph.D. in chemical engineering from the University of California, Berkeley.</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">1990-11</dateIssued><copyrightDate encoding="w3cdtf">1990</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">43</extent></physicalDescription><abstract lang="en">Various types of models are being used to evaluate pesticide transport and transformation in the unsaturated zone. Model predictions can be used, for example, to develop alternative agricultural management strategies for pesticide use. However, intensive data requirements for transient models sometimes deter their use. Site‐specific measurements are preferred, but existing data bases can be used as a source of required model parameters, especially weather and soil characteristics. These existing data bases make possible the use of models to predict leaching potential in a wide variety of environments.</abstract><relatedItem type="host"><titleInfo><title>Groundwater Monitoring & Remediation</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">1069-3629</identifier><identifier type="eISSN">1745-6592</identifier><identifier type="DOI">10.1111/(ISSN)1745-6592</identifier><identifier type="PublisherID">GWMR</identifier><part><date>1990</date><detail type="volume"><caption>vol.</caption><number>10</number></detail><detail type="issue"><caption>no.</caption><number>4</number></detail><extent unit="pages"><start>96</start><end>101</end><total>6</total></extent></part></relatedItem><identifier type="istex">2A082F2127F07396D566A2705138B4FF7E0F7A8E</identifier><identifier type="DOI">10.1111/j.1745-6592.1990.tb00026.x</identifier><identifier type="ArticleID">GWMR96</identifier><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Publishing Ltd</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000002 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000002 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Agronomie
|area= SisAgriV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:2A082F2127F07396D566A2705138B4FF7E0F7A8E
|texte= Using Soil and Meteorologic Data Bases in Unsaturated Zone Modeling of Pesticides
}}
| This area was generated with Dilib version V0.6.28. |  |