Fuzzy Index for Public Supply Water Quality

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dc.contributor.authorRoveda, J. A. F. [UNESP]
dc.contributor.authorArashiro, L. T. [UNESP]
dc.contributor.authorRoveda, S. R. M. M. [UNESP]
dc.contributor.authorSilverio, J. M. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-12-03T13:09:04Z
dc.date.available2014-12-03T13:09:04Z
dc.date.issued2013-01-01
dc.description.abstractHuman population growth and increased industrial activity in recent decades have contributed to a range of environmental problems, including the contamination of groundwater and surface water. In order to help in the management of these resources, water quality indices are used as tools to summarize multiple parameters and express them in the form of a single number. The ability to provide both an integrated assessment of changes in environmental variables, as well as performance tracking, has resulted in such indices being increasingly employed in surface water monitoring programs. The aim of this study was to develop an Index for Public Supply Water Quality (IPS) using a fuzzy inference methodology. Linguistic systems generally provide satisfactory tools for qualitative purposes, enabling the inclusion of descriptive variables with reduced loss of individual information. Validation of the technique was achieved by analysis of measurement data obtained for the Sorocaba River, provided by CETESB. The new procedure proved more rigorous, compared to classical IPS. It could be readily applied in the evaluation of other water bodies, or be adjusted to incorporate additional parameters also considered important for the assessment of water quality.en
dc.description.affiliationUniv Estadual Paulista, Dept Environm Engn, Sao Paulo, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Dept Environm Engn, Sao Paulo, Brazil
dc.format.extent1155-1159
dc.identifierhttp://dx.doi.org/10.1109/IFSA-NAFIPS.2013.6608563
dc.identifier.citationProceedings of the 2013 Joint Ifsa World Congress and Nafips Annual Meeting (ifsa/nafips). New York: IEEE, p. 1155-1159, 2013.
dc.identifier.lattes6249842109354856
dc.identifier.orcid0000-0003-3390-8747
dc.identifier.urihttp://hdl.handle.net/11449/111906
dc.identifier.wosWOS:000333960300199
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProceedings Of The 2013 Joint Ifsa World Congress And Nafips Annual Meeting (ifsa/nafips)
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.titleFuzzy Index for Public Supply Water Qualityen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
unesp.author.lattes6249842109354856[3]
unesp.author.orcid0000-0003-3390-8747[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Ciência e Tecnologia, Sorocabapt

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Artigos - Engenharia Ambiental - Sorocaba