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Int. J. Environ. Res. Public Health 2015, 12(10), 13179-13194; doi:10.3390/ijerph121013179

Spatio-Temporal Trends and Identification of Correlated Variables with Water Quality for Drinking-Water Reservoirs

1
Institute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
2
Institution of Remote Sensing and Information System Application, Zhejiang University, Hangzhou 310058, China
3
Institute of Rural Development and Information, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China
4
College of Resource and Environmental Science, Xinjiang University, Urumqi 830046, China
5
School of Civil Engineering and Environmental Sciences and School of Meteorology, University of Oklahoma, Norman, OK 73019, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Yu-Pin Lin
Received: 30 July 2015 / Accepted: 16 October 2015 / Published: 20 October 2015
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Abstract

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 quality level was exacerbated during the study period. Correlation analysis was used to evaluate the relationships between water quality parameters and ten independent variables grouped into four categories (land use, socio-economic factors, geographical features, and reservoir attributes). According to the correlation coefficients, land use and socio-economic indicators were identified as the most significant factors related to reservoir water quality. The results offer insights into the spatio-temporal variations of water quality parameters and factors impacting the water quality of drinking water reservoirs in Zhejiang Province, and they could assist managers in making effective strategies to better protect water resources. View Full-Text
Keywords: water quality; reservoir; spatial distribution; temporal variation; cluster analysis water quality; reservoir; spatial distribution; temporal variation; cluster analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gu, Q.; Wang, K.; Li, J.; Ma, L.; Deng, J.; Zheng, K.; Zhang, X.; Sheng, L. Spatio-Temporal Trends and Identification of Correlated Variables with Water Quality for Drinking-Water Reservoirs. Int. J. Environ. Res. Public Health 2015, 12, 13179-13194.

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