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Registro Completo |
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
15/01/2019 |
Data da última atualização: |
21/09/2023 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
PEIXOTO, M. S.; JONSSON, C. M.; PARAIBA, L. C.; BARROS, L. C.; LODWICK, W. A. |
Afiliação: |
Magda S. Peixoto, UFSCar; CLAUDIO MARTIN JONSSON, CNPMA; LOURIVAL COSTA PARAIBA, CNPMA; Laécio C. Barros, UNICAMP; Weldon A. Lodwick, University of Colorado, Denver. |
Título: |
Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
In: BARRETO, G. A.; COELHO, R. (Ed.). Fuzzy Information Processing. NAFIPS, 2018. Communications in Computer and Information Science, vol. 831. Springer, Cham. |
Páginas: |
p. 489-499. |
Idioma: |
Português |
Conteúdo: |
Abstract: Agricultural practices that use various xenobiotics can contaminate surface water and groundwater with xenobiotics mixtures concentrations which cause serious risks to water quality and to the health of aquatic organisms that inhabit them. Xenobiotics in water when present as mixtures can exacerbate or reduce the toxic effects in aquatic organisms, when compared to the toxic effects of each individual component concentrations of the xenobiotics mixture. The objective of this study is to develop a mathematical method using ?-level of the fuzzy numbers with less accounts and simpler calculations to sort ecotoxicological effects in aquatic organisms of xenobiotics mixtures concentrations occurring in water, classifying them into antagonistic, additive or synergistic and also establishing the magnitude of the effects of concentrations of mixtures. The proposed method in this paper using fuzzy numbers can be suggested in protocols established by regulatory agencies to classify ecotoxicological effects of xenobiotics mixtures in water. |
Palavras-Chave: |
Ecotoxicological; Fuzzy numbers. |
Thesaurus Nal: |
mixtures. |
Categoria do assunto: |
W Química e Física |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190534/1/CL-JonssonCM-et-al-FuzzyInformation...Springer-2018-p489.pdf
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Marc: |
LEADER 01811naa a2200217 a 4500 001 2104113 005 2023-09-21 008 2018 bl uuuu u00u1 u #d 100 1 $aPEIXOTO, M. S. 245 $aEstimating the xenobiotics mixtures toxicity on aquatic organisms$bthe use of alpha-level of the fuzzy number.$h[electronic resource] 260 $c2018 300 $ap. 489-499. 520 $aAbstract: Agricultural practices that use various xenobiotics can contaminate surface water and groundwater with xenobiotics mixtures concentrations which cause serious risks to water quality and to the health of aquatic organisms that inhabit them. Xenobiotics in water when present as mixtures can exacerbate or reduce the toxic effects in aquatic organisms, when compared to the toxic effects of each individual component concentrations of the xenobiotics mixture. The objective of this study is to develop a mathematical method using ?-level of the fuzzy numbers with less accounts and simpler calculations to sort ecotoxicological effects in aquatic organisms of xenobiotics mixtures concentrations occurring in water, classifying them into antagonistic, additive or synergistic and also establishing the magnitude of the effects of concentrations of mixtures. The proposed method in this paper using fuzzy numbers can be suggested in protocols established by regulatory agencies to classify ecotoxicological effects of xenobiotics mixtures in water. 650 $amixtures 653 $aEcotoxicological 653 $aFuzzy numbers 700 1 $aJONSSON, C. M. 700 1 $aPARAIBA, L. C. 700 1 $aBARROS, L. C. 700 1 $aLODWICK, W. A. 773 $tIn: BARRETO, G. A.; COELHO, R. (Ed.). Fuzzy Information Processing. NAFIPS, 2018. Communications in Computer and Information Science, vol. 831. Springer, Cham.
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Embrapa Meio Ambiente (CNPMA) |
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1. | | PEIXOTO, M. S.; JONSSON, C. M.; PARAIBA, L. C.; BARROS, L. C.; LODWICK, W. A. Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number. In: BARRETO, G. A.; COELHO, R. (Ed.). Fuzzy Information Processing. NAFIPS, 2018. Communications in Computer and Information Science, vol. 831. Springer, Cham. p. 489-499.Tipo: Capítulo em Livro Técnico-Científico |
Biblioteca(s): Embrapa Meio Ambiente. |
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