CANONIC CORRELATION BETWEEN QUALITY PARAMETERS OF RIVER WATER LOCATED IN RIO GRANDE DO SUL SOUTH
DOI:
https://doi.org/10.15628/holos.2020.8858Palavras-chave:
Environmental Monitoring, FEPAM, Software R and Water QualityResumo
The objective of this work was to evaluate the associations between water quality parameters in the spring / summer period and those established in the autumn / winter period, variables belonging to the Rio Tramandaí / RS. To this end, water quality secondary data provided by the State Environmental Protection Foundation Henrique Luis Roessle were used in the period from 2005-1 to 2013-2. The analysis of canonical correlation was applied, considering the original data observed, where canonical charges were estimated. In addition, Wilks' multivariate significance test was used to evaluate the significance of the canonical roots together. Finally, the redundancy index was determined as the mean square canonical charge times the canonical R². It was observed through the applied technique that only the first canonical function was shown to be significant. In relation to the canonical loads, of the function: of the parameters of quality of the water related to the spring / summer period the parameters TC, and the TN presented higher values. Because for the parameters belonging to autumn / winter the TC. presented low canonical charges. The amount of shared variance explained by the dependent canonical statistical variable was, on average, 9.5%. It is observed that the TC had the highest percentage of variance explained by the dependent canonical statistical variable, that is, 0.874. These results demonstrate the possibility of using this multivariate technique to make inferences about quality.
Downloads
Referências
AMERICAN PUBLIC HEALTH ASSOCIATION – APHA (1998). Standard methods for the examination of water and wastewater. 20ª ed. Washington: American Public Health Association. APHA/AWWA/WEF.
BERTOSSI, A. P. A. et al. (2013). Seleção e agrupamento de indicadores da qualidade de águas utilizando estatística multivariada. Semina: Ciências Agrárias, Londrina, v. 34, n. 5, p.2025-2036. Universidade Estadual de Londrina. http://dx.doi.org/10.5433/1679-0359
BHUTIANI, R. et al. (2014). Assessment of Ganga river ecosystem at Haridwar, Uttarakhand, India with reference to water quality indices. Applied Water Science, [s.l.], v. 6, n. 2, p.107-113, Springer Nature. http://dx.doi.org/10.1007/s13201-014-0206-6.
BODRUD-DOZA, M. D. et al. (2016). Characterization of groundwater quality using water evaluation indices, multivariate statistics and geostatistics in central Bangladesh. Water Science, [s.l.], v. 30, n. 1, p.19-40.
BORA, M.; GOSWAMI, D. C. (2016). Water quality assessment in terms of water quality index (WQI): case study of the Kolong River, Assam, India. Applied Water Science, [s.l.], v. 6, n. 1, p.1-11, Springer Nature. http://dx.doi.org/10.1007/s13201-016-0451-y.
BROWN, R. M.; MCCLELLAND, N. I.; DEININGER, RA; T., RG. (1970). A water quality index: do we dare? Water & Sewage Works, vol. 117, p. 339-343.
CENTENO, Luana Nunes (2017). Proposta metodológica para a construção de um índice de qualidade da água na bacia hidrográfica Piratini-São Gonçalo e Mangueira, RS. 190 f. Dissertação (Mestrado) - Curso de Ppg em Recursos Hídricos, Universidade Federal de Pelotas, Pelotras, 2017.
Companhia de Tecnologia de Saneamento Ambiental. 1987. Guia de coleta e preservação de amostras de água. CETESB, São Paulo, SP, Brasil.
CORRAR, L. J; PAULO, E.; DIAS FILHO, J. M. (2014). Análise multivariada para os cursos de administração, ciências contábeis e economia. ed. 5 – Reimpressão. São Paulo: Atlas, 344 p.
FERREIRA, Daniel Furtado (2010). Estatística multivariada. 2. ed. Lavras: UFLA, 662 p.
Fundação Estadual de Proteção Ambiental Henrique Roessler – FEPAM (2018). Monitoramento da qualidade da água da região hidrográfica das bacias litorâneas. Site oficial da FEPAM.
HAIR JR., J. F. et al. (2009). Análise multivariada de dados. 6. ed. Porto Alegre: Bookman, 688 p.
HASSEN, I.; H. AMZAOUI-AZAZA, F.; BOUHLILA, R. (2016). Application of multivariate statistical analysis and hydrochemical and isotopic investigations for evaluation of groundwater quality and its suitability for drinking and agriculture purposes: case of Oum Ali-Thelepte aquifer, central Tunisia. Environmental Monitoring and Assessment, [s.l.], v. 188, n. 3, p.135-155. Springer Nature. http://dx.doi.org/10.1007/s10661- 1.
HELLER, L.; PÁDUA, V. L. (2010). Abastecimento de água para consumo humano. 2. ed. Belo Horizonte: UFMG, 418 p.
LANDIM, P. M. B. (2011). Análise estatística de dados geológicos multivariados. São Paulo: Oficina de Textos, 209 p.
LIBÂNIO, M. (2010). Fundamentos de qualidade e tratamento de água. Campinas: Átomo. 494 p.
MONICA, N.; CHOI, K. (2015). Temporal and spatial analysis of water quality in Saemangeum watershed using multivariate statistical techniques. Paddy and Water Environment, [s.l.], v. 14, n. 1, p.3-17. Springer Nature. http://dx.doi.org/10.1007/s10333-014-0475-6. 016-5124-7.
MINGOTI, S. A. (2013). Análise de dados através de métodos de estatística multivariada: uma abordagem aplicada. 2. ed. Minas Gerais: UFMG. 297 p.
MUANGTHONG, S.; SHRESTHA, S. (2015). Assessment of surface water quality using multivariate statistical techniques: case study of the Nampong River and Songkhram River, Thailand. Environmental Monitoring and Assessment, [s.l.], v. 187, n. 9, p.548-560. Springer Nature. http://dx.doi.org/10.1007/s10661-015-4774-1
NAZIR, H. M.t al. (2016). Classification of drinking water quality index and identification of significant factors. Water Resources Management, [s.l.], v. 30, n. 12, p.4233-4246. Springer Nature. http://dx.doi.org/10.1007/s11269-016-1417-4.
R DEVELOPMENT CORE TEAM (2018). R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Disponível em: <http://www.R-project.org>. Acesso em: 10 março de 2018.
SPERLING, M. (2014). Estudos e modelagem da qualidade da água de rios. Belo Horizonte: UFMG. 7 v. 588 p.
SPERLING, M. (2005). Introdução à qualidade das águas e ao tratamento de esgotos. Belo Horizonte: UFMG. 7 v. 452 p.
TAVARES, B. S. (2014). Qualidade de água na bacia hidrográfica do rio Una - Pernambuco. 2014. 110 f. Tese (Doutorado em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco. Recife.
VICINI, L; SOUZA, A. M. (2005). Análise multivariada da teoria à pratica. Santa Maria: Biblioteca Central da UFSM. 215p.
Português (Brasil)
English
Español (España)
Français (France)
