Fuzzy index for public supply water quality
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/IFSA-NAFIPS.2013.6608563 http://hdl.handle.net/11449/227273 |
Resumo: | Human 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. © 2013 IEEE. |
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Fuzzy index for public supply water qualityHuman 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. © 2013 IEEE.Department of Environmental Engineering Universidade Estadual Paulista, Sorocaba, São PauloDepartment of Environmental Engineering Universidade Estadual Paulista, Sorocaba, São PauloUniversidade Estadual Paulista (UNESP)Roveda, J. A.F. [UNESP]Arashiro, L. T. [UNESP]Roveda, S. R.M.M. [UNESP]Silvério, J. M. [UNESP]2022-04-29T07:12:22Z2022-04-29T07:12:22Z2013-10-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1155-1159http://dx.doi.org/10.1109/IFSA-NAFIPS.2013.6608563Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013, p. 1155-1159.http://hdl.handle.net/11449/22727310.1109/IFSA-NAFIPS.2013.66085632-s2.0-84886530200Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013info:eu-repo/semantics/openAccess2022-04-29T07:12:22Zoai:repositorio.unesp.br:11449/227273Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:34:59.184183Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Fuzzy index for public supply water quality |
title |
Fuzzy index for public supply water quality |
spellingShingle |
Fuzzy index for public supply water quality Roveda, J. A.F. [UNESP] |
title_short |
Fuzzy index for public supply water quality |
title_full |
Fuzzy index for public supply water quality |
title_fullStr |
Fuzzy index for public supply water quality |
title_full_unstemmed |
Fuzzy index for public supply water quality |
title_sort |
Fuzzy index for public supply water quality |
author |
Roveda, J. A.F. [UNESP] |
author_facet |
Roveda, J. A.F. [UNESP] Arashiro, L. T. [UNESP] Roveda, S. R.M.M. [UNESP] Silvério, J. M. [UNESP] |
author_role |
author |
author2 |
Arashiro, L. T. [UNESP] Roveda, S. R.M.M. [UNESP] Silvério, J. M. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Roveda, J. A.F. [UNESP] Arashiro, L. T. [UNESP] Roveda, S. R.M.M. [UNESP] Silvério, J. M. [UNESP] |
description |
Human 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. © 2013 IEEE. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-10-31 2022-04-29T07:12:22Z 2022-04-29T07:12:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/IFSA-NAFIPS.2013.6608563 Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013, p. 1155-1159. http://hdl.handle.net/11449/227273 10.1109/IFSA-NAFIPS.2013.6608563 2-s2.0-84886530200 |
url |
http://dx.doi.org/10.1109/IFSA-NAFIPS.2013.6608563 http://hdl.handle.net/11449/227273 |
identifier_str_mv |
Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013, p. 1155-1159. 10.1109/IFSA-NAFIPS.2013.6608563 2-s2.0-84886530200 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1155-1159 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808128249450987520 |