It is widely accepted that characterizing the spatio-temporal trends of water quality parameters and identifying correlated variables with water quality are indispensable for the management and protection of water resources. In this study, cluster analysis was used to classify 56 typical drinking water reservoirs in Zhejiang Province into three groups representing different water quality levels, using data of four water quality parameters for the period 2006–2010. Then, the spatio-temporal trends in water quality were analyzed, assisted by geographic information systems (GIS) technology and statistical analysis. The results indicated that the water quality showed a trend of degradation from southwest to northeast, and the overall water qua...
Understanding the spatio-temporal variation and the potential source of water pollution could greatl...
Trend and change-point analyses of water quality time series data have important implications for po...
Various multivariate methods were used to analyze datasets of river water quality for 11 variables m...
It is widely accepted that characterizing the spatio-temporal trends of water quality parameters and...
Abstract: It is widely accepted that characterizing the spatio-temporal trends of water quality para...
Various reservoirs have been serving as the most important drinking water sources in Zhejiang Provin...
Composite Water Quality Identification Index (CWQII) and multivariate statistical techniques were us...
Abstract: Various reservoirs have been serving as the most important drinking water sources in Zheji...
We analyzed the spatial distribution of lake and reservoir water quality in China, and the trends fr...
AbstractSpatiotemporal variation analysis of water quality and identification of water pollution sou...
Water quality degradation is often a severe consequence of rapid economic expansion in developing co...
Spatiotemporal changes in the water quality index are important measures with which to analyze water...
The Dahuofang Reservoir is one of the most important water sources in Liaoning Province, China, so i...
Surface water assessments are of critical importance for balancing economic development with the eco...
Taihu Basin is one of the most developed and industrialized regions in China. In the last two decade...
Understanding the spatio-temporal variation and the potential source of water pollution could greatl...
Trend and change-point analyses of water quality time series data have important implications for po...
Various multivariate methods were used to analyze datasets of river water quality for 11 variables m...
It is widely accepted that characterizing the spatio-temporal trends of water quality parameters and...
Abstract: It is widely accepted that characterizing the spatio-temporal trends of water quality para...
Various reservoirs have been serving as the most important drinking water sources in Zhejiang Provin...
Composite Water Quality Identification Index (CWQII) and multivariate statistical techniques were us...
Abstract: Various reservoirs have been serving as the most important drinking water sources in Zheji...
We analyzed the spatial distribution of lake and reservoir water quality in China, and the trends fr...
AbstractSpatiotemporal variation analysis of water quality and identification of water pollution sou...
Water quality degradation is often a severe consequence of rapid economic expansion in developing co...
Spatiotemporal changes in the water quality index are important measures with which to analyze water...
The Dahuofang Reservoir is one of the most important water sources in Liaoning Province, China, so i...
Surface water assessments are of critical importance for balancing economic development with the eco...
Taihu Basin is one of the most developed and industrialized regions in China. In the last two decade...
Understanding the spatio-temporal variation and the potential source of water pollution could greatl...
Trend and change-point analyses of water quality time series data have important implications for po...
Various multivariate methods were used to analyze datasets of river water quality for 11 variables m...