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Identification and Assessment of Potential Water Quality Impact Factors for Drinking-Water Reservoirs

Author

Listed:
  • Qing Gu

    (Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, Zhejiang, China)

  • Jinsong Deng

    (Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, Zhejiang, China
    School of Civil Engineering and Environmental Sciences and School of Meteorology, University of Oklahoma, Norman, OK 73019, USA)

  • Ke Wang

    (Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, Zhejiang, China)

  • Yi Lin

    (Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, Zhejiang, China)

  • Jun Li

    (Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, Zhejiang, China
    School of Civil Engineering and Environmental Sciences and School of Meteorology, University of Oklahoma, Norman, OK 73019, USA)

  • Muye Gan

    (Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, Zhejiang, China)

  • Ligang Ma

    (Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, Zhejiang, China)

  • Yang Hong

    (School of Civil Engineering and Environmental Sciences and School of Meteorology, University of Oklahoma, Norman, OK 73019, USA
    State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China)

Abstract

Various reservoirs have been serving as the most important drinking water sources in Zhejiang Province, China, due to the uneven distribution of precipitation and severe river pollution. Unfortunately, rapid urbanization and industrialization have been continuously challenging the water quality of the drinking-water reservoirs. The identification and assessment of potential impacts is indispensable in water resource management and protection. This study investigates the drinking water reservoirs in Zhejiang Province to better understand the potential impact on water quality. Altogether seventy-three typical drinking reservoirs in Zhejiang Province encompassing various water storage levels were selected and evaluated. Using fifty-two reservoirs as training samples, the classification and regression tree (CART) method and sixteen comprehensive variables, including six sub-sets (land use, population, socio-economy, geographical features, inherent characteristics, and climate), were adopted to establish a decision-making model for identifying and assessing their potential impacts on drinking-water quality. The water quality class of the remaining twenty-one reservoirs was then predicted and tested based on the decision-making model, resulting in a water quality class attribution accuracy of 81.0%. Based on the decision rules and quantitative importance of the independent variables, industrial emissions was identified as the most important factor influencing the water quality of reservoirs; land use and human habitation also had a substantial impact on water quality. The results of this study provide insights into the factors impacting the water quality of reservoirs as well as basic information for protecting reservoir water resources.

Suggested Citation

  • Qing Gu & Jinsong Deng & Ke Wang & Yi Lin & Jun Li & Muye Gan & Ligang Ma & Yang Hong, 2014. "Identification and Assessment of Potential Water Quality Impact Factors for Drinking-Water Reservoirs," IJERPH, MDPI, vol. 11(6), pages 1-16, June.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:6:p:6069-6084:d:36883
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    References listed on IDEAS

    as
    1. Edmund C. Merem & Sudha Yerramilli & Yaw A. Twumasi & Joan M. Wesley & Bennetta Robinson & Chandra Richardson, 2011. "The Applications of GIS in the Analysis of the Impacts of Human Activities on South Texas Watersheds," IJERPH, MDPI, vol. 8(6), pages 1-29, June.
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    Cited by:

    1. Qing Gu & Ke Wang & Jiadan Li & Ligang Ma & Jinsong Deng & Kefeng Zheng & Xiaobin Zhang & Li Sheng, 2015. "Spatio-Temporal Trends and Identification of Correlated Variables with Water Quality for Drinking-Water Reservoirs," IJERPH, MDPI, vol. 12(10), pages 1-16, October.
    2. Shibao Lu & Jianhua Wang & Liang Pei, 2016. "Study on the Effects of Irrigation with Reclaimed Water on the Content and Distribution of Heavy Metals in Soil," IJERPH, MDPI, vol. 13(3), pages 1-10, March.
    3. Weixing Ma & Tinglin Huang & Xuan Li & Zizhen Zhou & Yang Li & Kang Zeng, 2015. "The Effects of Storm Runoff on Water Quality and the Coping Strategy of a Deep Canyon-Shaped Source Water Reservoir in China," IJERPH, MDPI, vol. 12(7), pages 1-17, July.

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