scholarly journals Assessing water quality of Nen River, the neighboring section of three provinces, using multivariate statistical analysis

2018 ◽  
Vol 67 (8) ◽  
pp. 779-789 ◽  
Author(s):  
Duoying Zhang ◽  
Guochen Zheng ◽  
Shufeng Zheng ◽  
Wenbo Guan ◽  
Wenjun Zhao ◽  
...  
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical

scholarly journals Investigating the Impact of Anthropogenic and Natural Sources of Pollution on Quality of Water in Upper Indus Basin (UIB) by Using Multivariate Statistical Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Mansoor A. Baluch ◽  
Hashim Nisar Hashmi
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Quality Parameters ◽  
Anthropogenic Source ◽  
Indus River ◽  
Multivariate Statistical ◽  
Quality Of Water ◽  
The Impact

Water quality of the Indus River around the upper basin and the main river was evaluated with the help of statistical analysis. In order to analyze the similarities and dissimilarities for identifying the spatial variations in water quality of the Indus River and sources of contamination, multivariate statistical analysis, i.e., principle component analysis (PCA), cluster analysis, and descriptive analysis, was done. Data of 8 physicochemical quality parameters from 64 sampling stations belonging to 6 regions (labeled as M1, M2, M3, M4, M5, and M6) were used for analysis. The parameters used for assessing the water quality were pH, dissolved oxygen (DO), oxygen reducing potential (ORP), electrical conductivity (EC), total dissolved solids (TDS), salinity (%), and concentration of arsenic (As) and lead (Pb), respectively. PCA assisted in extracting and recognizing the responsible variation factors of water quality over the region, and the results showed three underlying factors including anthropogenic source pollution along with runoff due to rain and soil erosion were responsible for explaining the 93.87% of total variance. The parameters which were significantly influenced by anthropogenic impact are DO, EC, TDS (negative), and concentration of Pb (positive), while the concentration of As, % salinity, and ORP are affected by erosion and runoff due to rain. The worst pollution situation for regions M1 and M6 was due to the concentration of As which was approximately 400 μg/l (i.e., 40 times higher than minimum WHO recommendation). Furthermore, the results also indicated that, in the Indus River, three monitoring stations and five quality parameters are sufficient to have a reasonable confidence about the quality of water in this most important reserve of Pakistan.

scholarly journals EFFECT OF SOIL USE ON THE QUALITY OF WATER RESOURCE IN WATERSHED USING MULTIVARIATE STATISTICAL ANALYSIS

Irriga ◽  
2015 ◽  
Vol 20 (4) ◽  
pp. 776-789
Author(s):  
Marcelo Zanata ◽  
Teresa Cristina Tarlé Pissarra ◽  
Antonio Sergio Ferraudo ◽  
Mauricio Ranzini ◽  
Sergio Campos
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Water Resource ◽  
Sugar Cane ◽  
Multivariate Statistical Analysis ◽  
Management Practices ◽  
Sao Paulo ◽  
Multivariate Statistical ◽  
Quality Of Water

EFFECT OF SOIL USE ON THE QUALITY OF WATER RESOURCE IN WATERSHED USING MULTIVARIATE STATISTICAL ANALYSIS  MARCELO ZANATA1; TERESA CRISTINA TARLÉ PISSARRA2; ANTONIO SERGIO FERRAUDO3; MAURICIO RANZINI4 E SERGIO CAMPOS5 1 Pesquisador Científico, Instituto Florestal de São Paulo, Batatais-SP, [email protected] Profa. Doutora, Faculdade de Ciências Agrárias e Veterinárias –UNESP, Jaboticabal, SP, [email protected] Prof. Doutor, Faculdade de Ciências Agrárias e Veterinárias –UNESP, Jaboticabal, SP, [email protected] Pesquisador Científico, Instituto Florestal de São Paulo, Batatais-SP, [email protected] Prof. Titular, Faculdade de Ciências Agronômicas–UNESP, Botucatu, SP, [email protected]  1 ABSTRACT Changes in soil use  in  protected areas modify the landscape, and therefore, monitoring water quality in headwaters is essential to improve the population health and control water pollution. The objective of this study was to determine environmental changes as a result of soil use, evaluating physical and chemical characteristics of the water of the drainage network in watersheds.  The study was conducted to determine the effects of soil use in watersheds with first order streams, related with management practices of water quality, according to the strategic  importance  for the supplying source. Watersheds are predominantly covered by sugar cane, reforested with Pinus and native forest.   Temperature (TºC), pH, electrical conductivity (EC) and total dissolved solids (TDS) were the parameters determined in the   headwaters. Dissolved oxygen (DO) and turbidity (T) were obtained in the lab. The majority of variables and factors were explained by changes in soil use associated with management practices. Two factors resulting from the multivariate analysis showed direct correlation with SDT, CE and pH variables, which shows surface runoff with possible water nitrification of a watershed planted with sugarcane. The second factor showed direct correlation between TCº and T variables, while both were negatively correlated with DO, which shows the seasonality effect on one of the watersheds reforested with Pinus.  The results highlight   management practices in  conservation and maintenance planning of forested areas surrounding headwaters as indicators for higher quality of natural water. Keywords: Pinus, sugar cane, nitrification, seasonal variation ZANATA, M.; PISSARRA, T. C. T.; FERRAUDO, A. S.; RANZINI, M.; CAMPOS, S.EFEITO DO USO DO SOLO NA QUALIDADE DO RECURSO HÍDRICO UTILIZANDO ANÁLISE ESTATÍSTICA MULTIVARIADA  2 RESUMO Mudanças no uso do solo ao longo das áreas protegidas modificam a paisagem, assim o monitoramento da qualidade das águas das nascentes torna-se essencial para melhorar a saúde da população e controlar a poluição dessas águas. O objetivo deste trabalho foi determinar alterações ambientais devido ao uso do solo, avaliando características físicas e químicas da água da rede de drenagem de microbacias. O trabalho foi realizado para estudar os efeitos do uso do solo em microbacias de primeira ordem, relacionado com práticas de gestão da qualidade da água, de acordo com a importância estratégica para a fonte de abastecimento; as microbacias são predominantemente ocupadas com cana de açúcar, reflorestadas com Pinus e com mata nativa. Os parâmetros, de temperatura (T), pH, condutividade elétrica (CE) e sólidos dissolvidos totais (SDT) foram determinados nas águas das nascentes. O oxigênio dissolvido (OD) e a turbidez (t) foram obtidos em laboratório. As variáveis e os fatores foram explicados por mudanças decorrentes do uso do solo associados às práticas de gestão. Dois fatores resultantes da análise multivariada, mostraram correlação direta com as variáveis SDT, CE e pH, evidenciando o escoamento superficial com possível nitrificação da água de uma microbacia plantada com cana de açúcar. O segundo fator mostrou correlação direta entre as variáveis T e t enquanto ambos estavam negativamente correlacionada com OD, mostrando o efeito da sazonalidade sobre uma das microbacias reflorestadas com Pinus. Os resultados destacam as práticas de gestão no planejamento da conservação e a manutenção de áreas florestais ao redor das nascentes, como indicadores para melhor qualidade da água natural. Palavras-chave: Pinus, cana de açúcar, nitrificação, sazonalidade.

Multivariate statistical analysis of water quality of the Densu River, Ghana

2020 ◽  
pp. 1-11
Author(s):  
Rita Akosua Anima Gyimah ◽  
Charles Gyamfi ◽  
Geophrey Kwame Anornu ◽  
Anthony Yaw Karikari ◽  
Francis Worlanyo Tsyawo
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical
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