Use of Complex Network Modelling to Assess the Influence of the Parameters on Water Quality of Rivers
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s11270-021-05270-5 http://hdl.handle.net/11449/229244 |
Resumo: | The purpose of this study is to evaluate the influence of parameters, used in the monitoring and classification of the rivers water quality, for the analysis of environmental impacts in two important water resources in the interior of São Paulo State. Based on the complex networks theory for modelling, the used data refer to collections and laboratory analyses of water samples, carried out from 2006 to 2017, by a research team. The collections took place at strategic points on the rivers, in a densely populated and industrialized place, therefore of great economic importance for the country. The region bathed by the rivers presents evidence of anthropogenic actions due to domestic, industrial, and agricultural effluents, the main effluents from oil refining, representing a challenge for government agencies regarding the quality of water resources. For the analysis, a database was created containing information from the evaluations of thirteen monitoring parameters: pH, dissolved oxygen, biochemical oxygen demand, total nitrogen, total phosphorus, turbidity, Escherichia coli quantity, total solids, temperature, chemical oxygen demand, electrical conductivity, chlorides, and precipitation. The relationships among sampled parameters were analyzed applying Spearman correlations. The developed model sought to identify the most impacting variables on river pollution during the mentioned period, supported by the water quality index of the São Paulo State Environmental Company (CETESB). According to results, electrical conductivity and chlorides were the most influential network parameters in rivers pollution. Besides, the correlation among parameters is greater when more polluted the rivers are. |
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Use of Complex Network Modelling to Assess the Influence of the Parameters on Water Quality of RiversComplex networkWater pollutionWater quality indexThe purpose of this study is to evaluate the influence of parameters, used in the monitoring and classification of the rivers water quality, for the analysis of environmental impacts in two important water resources in the interior of São Paulo State. Based on the complex networks theory for modelling, the used data refer to collections and laboratory analyses of water samples, carried out from 2006 to 2017, by a research team. The collections took place at strategic points on the rivers, in a densely populated and industrialized place, therefore of great economic importance for the country. The region bathed by the rivers presents evidence of anthropogenic actions due to domestic, industrial, and agricultural effluents, the main effluents from oil refining, representing a challenge for government agencies regarding the quality of water resources. For the analysis, a database was created containing information from the evaluations of thirteen monitoring parameters: pH, dissolved oxygen, biochemical oxygen demand, total nitrogen, total phosphorus, turbidity, Escherichia coli quantity, total solids, temperature, chemical oxygen demand, electrical conductivity, chlorides, and precipitation. The relationships among sampled parameters were analyzed applying Spearman correlations. The developed model sought to identify the most impacting variables on river pollution during the mentioned period, supported by the water quality index of the São Paulo State Environmental Company (CETESB). According to results, electrical conductivity and chlorides were the most influential network parameters in rivers pollution. Besides, the correlation among parameters is greater when more polluted the rivers are.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)School of Technology University of CampinasDepartment of Biochemistry and Microbiology Institute of Biosciences São Paulo State University Júlio de Mesquita Filho - UNESPDepartment of Biochemistry and Microbiology Institute of Biosciences São Paulo State University Júlio de Mesquita Filho - UNESPCAPES: 88882.435858/2019-01Universidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (UNESP)Gayer, Fernanda Almeida Marchinide Angelis, Dejanira de Franceschi [UNESP]de Angelis, Andre FranceschiPoletti, Elaine Cristina Catapani2022-04-29T08:31:24Z2022-04-29T08:31:24Z2021-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s11270-021-05270-5Water, Air, and Soil Pollution, v. 232, n. 8, 2021.1573-29320049-6979http://hdl.handle.net/11449/22924410.1007/s11270-021-05270-52-s2.0-85111607627Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengWater, Air, and Soil Pollutioninfo:eu-repo/semantics/openAccess2022-04-29T08:31:24Zoai:repositorio.unesp.br:11449/229244Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-29T08:31:24Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Use of Complex Network Modelling to Assess the Influence of the Parameters on Water Quality of Rivers |
title |
Use of Complex Network Modelling to Assess the Influence of the Parameters on Water Quality of Rivers |
spellingShingle |
Use of Complex Network Modelling to Assess the Influence of the Parameters on Water Quality of Rivers Gayer, Fernanda Almeida Marchini Complex network Water pollution Water quality index |
title_short |
Use of Complex Network Modelling to Assess the Influence of the Parameters on Water Quality of Rivers |
title_full |
Use of Complex Network Modelling to Assess the Influence of the Parameters on Water Quality of Rivers |
title_fullStr |
Use of Complex Network Modelling to Assess the Influence of the Parameters on Water Quality of Rivers |
title_full_unstemmed |
Use of Complex Network Modelling to Assess the Influence of the Parameters on Water Quality of Rivers |
title_sort |
Use of Complex Network Modelling to Assess the Influence of the Parameters on Water Quality of Rivers |
author |
Gayer, Fernanda Almeida Marchini |
author_facet |
Gayer, Fernanda Almeida Marchini de Angelis, Dejanira de Franceschi [UNESP] de Angelis, Andre Franceschi Poletti, Elaine Cristina Catapani |
author_role |
author |
author2 |
de Angelis, Dejanira de Franceschi [UNESP] de Angelis, Andre Franceschi Poletti, Elaine Cristina Catapani |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Gayer, Fernanda Almeida Marchini de Angelis, Dejanira de Franceschi [UNESP] de Angelis, Andre Franceschi Poletti, Elaine Cristina Catapani |
dc.subject.por.fl_str_mv |
Complex network Water pollution Water quality index |
topic |
Complex network Water pollution Water quality index |
description |
The purpose of this study is to evaluate the influence of parameters, used in the monitoring and classification of the rivers water quality, for the analysis of environmental impacts in two important water resources in the interior of São Paulo State. Based on the complex networks theory for modelling, the used data refer to collections and laboratory analyses of water samples, carried out from 2006 to 2017, by a research team. The collections took place at strategic points on the rivers, in a densely populated and industrialized place, therefore of great economic importance for the country. The region bathed by the rivers presents evidence of anthropogenic actions due to domestic, industrial, and agricultural effluents, the main effluents from oil refining, representing a challenge for government agencies regarding the quality of water resources. For the analysis, a database was created containing information from the evaluations of thirteen monitoring parameters: pH, dissolved oxygen, biochemical oxygen demand, total nitrogen, total phosphorus, turbidity, Escherichia coli quantity, total solids, temperature, chemical oxygen demand, electrical conductivity, chlorides, and precipitation. The relationships among sampled parameters were analyzed applying Spearman correlations. The developed model sought to identify the most impacting variables on river pollution during the mentioned period, supported by the water quality index of the São Paulo State Environmental Company (CETESB). According to results, electrical conductivity and chlorides were the most influential network parameters in rivers pollution. Besides, the correlation among parameters is greater when more polluted the rivers are. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-01 2022-04-29T08:31:24Z 2022-04-29T08:31:24Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s11270-021-05270-5 Water, Air, and Soil Pollution, v. 232, n. 8, 2021. 1573-2932 0049-6979 http://hdl.handle.net/11449/229244 10.1007/s11270-021-05270-5 2-s2.0-85111607627 |
url |
http://dx.doi.org/10.1007/s11270-021-05270-5 http://hdl.handle.net/11449/229244 |
identifier_str_mv |
Water, Air, and Soil Pollution, v. 232, n. 8, 2021. 1573-2932 0049-6979 10.1007/s11270-021-05270-5 2-s2.0-85111607627 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Water, Air, and Soil Pollution |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
|
_version_ |
1803650297265913856 |