Assessment of Best-Management Practice Effects on Rangeland Stream Water Quality Using Multivariate Statistical Techniques

Assessment and Management of Ganga River Water Quality Using Multivariate Statistical Techniques in India

Multivariate statistical techniques, such as cluster analysis and principal component analysis (PCA), were applied for evaluation of spatial variations and interpretation of large complex water quality data set of the Ganga river basin, generated during one year (2013-2014) monitoring of eight water parameters at seven different sites. Hierarchical cluster analysis grouped seven sampling sites ...

Assessment of spatial changes of stream erosion under environmental factors in Kojoor Firoozkolay region using multivariate statistical techniques

Assessment of Reservoir Water Quality Using Multivariate Statistical Techniques: A Case Study of Qiandao Lake, China

Qiandao Lake (Xin’an Jiang reservoir) plays a significant role in drinking water supply for eastern China, and it is an attractive tourist destination. Three multivariate statistical methods were comprehensively applied to assess the spatial and temporal variations in water quality as well as potential pollution sources in Qiandao Lake. Data sets of nine parameters from 12 monitoring sites duri...

Assessment of Water Quality Using Multivariate Statistical Techniques in the Ying River Basin, China by

Assessment of water quality in Hussainsagar lake and its inlet channels using multivariate statistical techniques

Application of different multivariate statistical approaches for the interpretation of data obtained during a monitoring programme of Hussainsagar Lake and its catchment area at Hyderabad (India) is presented in this study. The waste water coming from the catchment is being directly discharged in to the lake, forming point and non point sources of contamination of lake water. This study analyze...