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Pesticide risk assessment in a lagoon ecosystem. Part I: Exposure assessment

Identifieur interne : 000602 ( Istex/Corpus ); précédent : 000601; suivant : 000603

Pesticide risk assessment in a lagoon ecosystem. Part I: Exposure assessment

Auteurs : Sara Villa ; Antonio Finizio ; Marco Vighi

Source :

RBID : ISTEX:8CE4B376E1A8E1AE21D54EEFB1550080AE6DD0C1

English descriptors

Abstract

This work is the first step of a research project on pesticide risk assessment for a coastal lagoon ecosystem (Orbetello lagoon, central Italy). Pesticide exposure was evaluated by means of predictive and experimental approaches. Predicted environmental concentrations (PECs) for water and sediments were estimated using fugacity‐based multimedia models. Pesticide loads were quantified through a study of the use to which agricultural land was put in the study area. Multimedia fate models were used to predict the environmental concentration of 29 active ingredients (mainly insecticides and herbicides) selected among the most widely used within the catchment basin. Worst‐case environmental scenarios were developed for the application of these models, in agreement with the precautionary principle. Experimental monitoring was performed on 10 selected chemicals. To assess the value and limitations of predictive and experimental approaches, calculated PECs and monitoring results were compared and discussed. Combined modeling and monitoring approaches have been found to be the best way to date to assess proper exposure.

Url:
DOI: 10.1002/etc.5620220434

Links to Exploration step

ISTEX:8CE4B376E1A8E1AE21D54EEFB1550080AE6DD0C1

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<publisher>Wiley Periodicals, Inc.</publisher>
<place>
<placeTerm type="text">Hoboken</placeTerm>
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<dateIssued encoding="w3cdtf">2003-04</dateIssued>
<dateCaptured encoding="w3cdtf">2001-11-28</dateCaptured>
<dateValid encoding="w3cdtf">2002-09-25</dateValid>
<copyrightDate encoding="w3cdtf">2003</copyrightDate>
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<languageTerm type="code" authority="rfc3066">en</languageTerm>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
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<extent unit="figures">3</extent>
<extent unit="tables">5</extent>
<extent unit="references">28</extent>
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<abstract lang="en">This work is the first step of a research project on pesticide risk assessment for a coastal lagoon ecosystem (Orbetello lagoon, central Italy). Pesticide exposure was evaluated by means of predictive and experimental approaches. Predicted environmental concentrations (PECs) for water and sediments were estimated using fugacity‐based multimedia models. Pesticide loads were quantified through a study of the use to which agricultural land was put in the study area. Multimedia fate models were used to predict the environmental concentration of 29 active ingredients (mainly insecticides and herbicides) selected among the most widely used within the catchment basin. Worst‐case environmental scenarios were developed for the application of these models, in agreement with the precautionary principle. Experimental monitoring was performed on 10 selected chemicals. To assess the value and limitations of predictive and experimental approaches, calculated PECs and monitoring results were compared and discussed. Combined modeling and monitoring approaches have been found to be the best way to date to assess proper exposure.</abstract>
<subject lang="en">
<genre>keywords</genre>
<topic>Pesticides</topic>
<topic>Coastal lagoons</topic>
<topic>Exposure assessment</topic>
<topic>Monitoring</topic>
<topic>Modeling</topic>
</subject>
<relatedItem type="host">
<titleInfo>
<title>Environmental Toxicology and Chemistry</title>
<subTitle>An International Journal</subTitle>
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<titleInfo type="abbreviated">
<title>Environmental Toxicology and Chemistry</title>
</titleInfo>
<genre type="journal">journal</genre>
<subject>
<genre>article-category</genre>
<topic>Hazard/Risk Assessment</topic>
</subject>
<identifier type="ISSN">0730-7268</identifier>
<identifier type="eISSN">1552-8618</identifier>
<identifier type="DOI">10.1002/(ISSN)1552-8618</identifier>
<identifier type="PublisherID">ETC</identifier>
<part>
<date>2003</date>
<detail type="volume">
<caption>vol.</caption>
<number>22</number>
</detail>
<detail type="issue">
<caption>no.</caption>
<number>4</number>
</detail>
<extent unit="pages">
<start>928</start>
<end>935</end>
<total>8</total>
</extent>
</part>
</relatedItem>
<identifier type="istex">8CE4B376E1A8E1AE21D54EEFB1550080AE6DD0C1</identifier>
<identifier type="DOI">10.1002/etc.5620220434</identifier>
<identifier type="ArticleID">ETC5620220434</identifier>
<accessCondition type="use and reproduction" contentType="copyright">Copyright © 2003 SETAC</accessCondition>
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<recordContentSource>WILEY</recordContentSource>
<recordOrigin>Wiley Periodicals, Inc.</recordOrigin>
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