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Assessment of Water Quality Using Multivariate Statistical ...


Water quality assessment based on multivariate statistics ... - Nature

Multivariate statistics is another widely used approach, mainly with Principal Components Analysis (PCA) and Cluster Analysis (CA), helping to ...

Assessment of Water Quality Using Multivariate Statistical ...

water quality assessment using multivariate statistical techniques. In this study, water quality data sets obtained during 2008-2010 in the Ying River basin ...

Assessment of surface water quality using multivariate statistical ...

This study illustrates the usefulness of multivariate statistical techniques for analysis and interpretation of complex data sets, and in water quality ...

Multivariate Statistical Analysis for Water Quality Assessment - MDPI

MSA aims to analyze multiple variables in a single relationship or set of relationships [17]. It has been considered one of the most effective ...

Assessment of water quality using multivariate statistics and ...

This study assessed the water quality in Wadi Al-Dabab, Taiz, Yemen. Water samples were collected from the springs and different types of wells.

Assessment of water quality in Baiyangdian Lake using multivariate ...

It also allowed us to obtain more advanced information about water quality, and to design a monitoring network for this study area. Multivariate statistical ...

Assessment of surface water quality using multivariate statistical ...

Multivariate statistical techniques, such as cluster analysis (CA), principal component analysis, and factor analysis, were applied for the evaluation of ...

Assessment of water quality using multivariate statistical approaches ...

In this study, the water quality parameters including temperature, pH, electrical conductivity (EC), total dissolved solids (TDS), oxidation–reduction ...

Assessment of Water Quality Using Multivariate Statistical ...

Assessment of Water Quality Using Multivariate Statistical Techniques in the Ying River Basin, China · View/Open · Abstract · Subjects · Types · Handle · Metadata.

Multivariate statistical analysis to assess the surface water quality of ...

Winter and spring showed WQI values ranging from good to poor, with pH, EC, TA, TH, and DO having less impact on WQI compared to turbidity and ...

Assessment of Surface Water Quality Using Multivariate Analysis

The PCA multivariate approach was applied to the data sets, considering the sampling sites as objects and the measured parameters as variables.

Water quality assessment and source identification of the Shuangji ...

Multivariate statistical techniques, including cluster analysis (CA), discriminant analysis (DA), principal component analysis (PCA) and ...

Water Quality Assessment of River Ogun Using Multivariate ...

Cluster analysis comprises of multivariate methods which are used to find true groups of data. In clustering, the objects are grouped such that similar objects ...

Assessment of Surface Water Quality Using Multivariate Statistical ...

Assessment of Surface Water Quality Using Multivariate Statistical Techniques: A Case Study of Saigon River.

Assessment of water quality parameters using multivariate analysis ...

This case study uses several univariate and multivariate statistical techniques to evaluate and interpret a water quality data set obtained ...

Assessment of water quality using multivariate statistical approaches ...

The evaluation of water quality in freshwater lakes is indispensable due to its immense significance in terms of ecological services and livelihood ...

Evaluating Groundwater Quality Using Multivariate Statistical ...

Groundwater quality was evaluated using the National Technical Regulation on Groundwater Quality (QCVN 09-MT:2015/BTNMT) and GWQI. Principal component analysis ...

Water quality assessment using multivariate statistical techniques in ...

The multivariate statistical techniques used in this study served as an excellent tool for the analysis and interpretation of complex data sets, ...

Multivariate Statistical Anlaysis in Water Quality - YouTube

Good multivariate analysis starts with exploratory and graphical analyses to reveal potential relations in the data and to highlight ...

Assessment of Water Quality of Polluted Lake Using Multivariate ...

Multivariate statistical techniques, cluster analysis (CA) and principal component analysis (PCA) were applied to the data on water quality of Manchar Lake ...