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Analysis of pollution monitoring by expert systems

Identifieur interne : 001518 ( Istex/Corpus ); précédent : 001517; suivant : 001519

Analysis of pollution monitoring by expert systems

Auteurs : G. De Marchi ; B. Canepa ; F. Braggio ; G. Randi

Source :

RBID : ISTEX:6406304DA791E86BB771AE8D35AD18287DAB0E9A

Abstract

Abstract: Pollution monitoring can provide an important aid in the choice of the strategy to control the level of some dangerous elements, whether in water or in the air. The difficulties of detecting polluting sources from experimental data are related not only to the adoption of systematic and suitable measuring procedure, but also to a correct management of the available information. From the theoretical point of view, the use of simplified models, coupled with classical regularization techniques, shows that, in general, the problem is badly posed and consequently, numerically ill-conditioned. Hence the possibility of using expert systems algorithms, introducing further qualitative information, improves the reliability of the solutions. In particular, this paper deals with the utilization of fuzzy optimization algorithms: fuzzy theory supplies a formal reasoning technique, which proposes solutions that are real consequences of the premises. An actual example of such a method is described, making reference to the computation of the distribution of polluting sources from ground concentration data. The inverse problem is first solved using traditional procedures, showing that the distributed sources are not recognized. Afterwards, different results obtained from various algorithms derived from the assumed a-priori knowledge are examined. In this case, it is possible to obtain a more realistic situation of the pollution sources, inside the boundaries of the controlled area.

Url:
DOI: 10.1007/BF00401340

Links to Exploration step

ISTEX:6406304DA791E86BB771AE8D35AD18287DAB0E9A

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<originInfo>
<publisher>Kluwer Academic Publishers</publisher>
<place>
<placeTerm type="text">Dordrecht</placeTerm>
</place>
<dateIssued encoding="w3cdtf">1991-10-01</dateIssued>
<copyrightDate encoding="w3cdtf">1991</copyrightDate>
</originInfo>
<language>
<languageTerm type="code" authority="rfc3066">en</languageTerm>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
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<abstract lang="en">Abstract: Pollution monitoring can provide an important aid in the choice of the strategy to control the level of some dangerous elements, whether in water or in the air. The difficulties of detecting polluting sources from experimental data are related not only to the adoption of systematic and suitable measuring procedure, but also to a correct management of the available information. From the theoretical point of view, the use of simplified models, coupled with classical regularization techniques, shows that, in general, the problem is badly posed and consequently, numerically ill-conditioned. Hence the possibility of using expert systems algorithms, introducing further qualitative information, improves the reliability of the solutions. In particular, this paper deals with the utilization of fuzzy optimization algorithms: fuzzy theory supplies a formal reasoning technique, which proposes solutions that are real consequences of the premises. An actual example of such a method is described, making reference to the computation of the distribution of polluting sources from ground concentration data. The inverse problem is first solved using traditional procedures, showing that the distributed sources are not recognized. Afterwards, different results obtained from various algorithms derived from the assumed a-priori knowledge are examined. In this case, it is possible to obtain a more realistic situation of the pollution sources, inside the boundaries of the controlled area.</abstract>
<note>Exposure/Risk Assessment</note>
<relatedItem type="host">
<titleInfo>
<title>Environmental Monitoring and Assessment</title>
<subTitle>An International Journal Devoted to Progress in the Use of Monitoring Data in Assessing Environmental Risks to Man and the Environment</subTitle>
</titleInfo>
<titleInfo type="abbreviated">
<title>Environ Monit Assess</title>
</titleInfo>
<genre type="Journal" displayLabel="Archive Journal"></genre>
<originInfo>
<dateIssued encoding="w3cdtf">1991-10-01</dateIssued>
<copyrightDate encoding="w3cdtf">1991</copyrightDate>
</originInfo>
<subject>
<genre>Environment</genre>
<topic>Ecology</topic>
<topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic>
<topic>Environmental Management</topic>
<topic>Monitoring/Environmental Analysis/Environmental Ecotoxicology</topic>
</subject>
<identifier type="ISSN">0167-6369</identifier>
<identifier type="eISSN">1573-2959</identifier>
<identifier type="JournalID">10661</identifier>
<identifier type="IssueArticleCount">51</identifier>
<identifier type="VolumeIssueCount">0</identifier>
<part>
<date>1991</date>
<detail type="volume">
<number>19</number>
<caption>vol.</caption>
</detail>
<detail type="issue">
<number>1-3</number>
<caption>no.</caption>
</detail>
<extent unit="pages">
<start>539</start>
<end>547</end>
</extent>
</part>
<recordInfo>
<recordOrigin>Kluwer Academic Publishers, 1991</recordOrigin>
</recordInfo>
</relatedItem>
<identifier type="istex">6406304DA791E86BB771AE8D35AD18287DAB0E9A</identifier>
<identifier type="DOI">10.1007/BF00401340</identifier>
<identifier type="ArticleID">Art50</identifier>
<identifier type="ArticleID">BF00401340</identifier>
<accessCondition type="use and reproduction" contentType="copyright">Kluwer Academic Publishers</accessCondition>
<recordInfo>
<recordContentSource>SPRINGER</recordContentSource>
<recordOrigin>Kluwer Academic Publishers, 1991</recordOrigin>
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</mods>
</metadata>
<serie></serie>
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