جستجوی مقالات مرتبط با کلیدواژه « multivariate statistical methods » در نشریات گروه « مهندسی آب »

Hydrochemical analyzes of 35 water samples during two dry seasons (July 2016) and more (April 2017) have been used to identify, extract the main factors of the hydrochemical changes, and investigate the geochemical processes controlling the surface water and groundwater resources of Bostan plain. In this research, two multivariate statistical methods of hierarchical cluster analysis (HCA) and principal components analysis (PCA) were used to classify water quality samples of the region. According to studies conducted by HCA, there are three main hydrochemical facies in Bostan plains. Facies with higher salinity (group 1: Na-Cl), lower salinity facies (group 2: Ca-Na-SO4-Cl), intermediate facies (group 3: Na-Mg-Cl). In the analysis of the PCA, the plain resources. First factor of the three factors is 68.2% of the changes and the second and third factors are 14.45% and 9.25% of the changes, respectively. The results of this study clearly demonstrate the usefulness or benefits of multivariate statistical techniques in assessing the hydrochemical characteristics of surface and groundwater.