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Spatiotemporal Analysis of Heavy Metal Water Pollution in Transitional China

Author

Listed:
  • Huixuan Li

    (Department of Geosciences, Auburn University, Auburn, AL 36849, USA)

  • Yingru Li

    (Department of Sociology, University of Central Florida, Orlando, FL 32816, USA)

  • Ming-Kuo Lee

    (Department of Geosciences, Auburn University, Auburn, AL 36849, USA)

  • Zhongwei Liu

    (Department of Geography and Regional Planning, Indiana University of Pennsylvania, Indiana, PA 15705, USA)

  • Changhong Miao

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475004, China)

Abstract

China’s socioeconomic transitions have dramatically accelerated its economic growth in last three decades, but also companioned with continuous environmental degradation. This study will advance the knowledge of heavy metal water pollution in China from a spatial–temporal perspective. Specifically, this study addressed the following: (1) spatial patterns of heavy metal water pollution levels were analyzed using data of prefecture-level cities from 2004 to 2011; and (2) spatial statistical methods were used to examine the underlying socioeconomic and physical factors behind water pollution including socioeconomic transitions (industrialization, urbanization, globalization and economic development), and environmental characteristic (natural resources, hydrology and vegetation coverage). The results show that only Cr pollution levels increased over the years. The individual pollution levels of the other four heavy metals, As, Cd, Hg, and Pb, declined. High heavy metal water pollution levels are closely associated with both anthropogenic activities and physical environments, in particular abundant mineral resources and industrialization prosperity. On the other hand, economic development and urbanization play important roles in controlling water pollution problems. The analytical findings will provide valuable information for policy-makers to initiate and adjust protocols and strategies for protecting water sources and controlling water pollution; thus improving the quality of living environments.

Suggested Citation

  • Huixuan Li & Yingru Li & Ming-Kuo Lee & Zhongwei Liu & Changhong Miao, 2015. "Spatiotemporal Analysis of Heavy Metal Water Pollution in Transitional China," Sustainability, MDPI, vol. 7(7), pages 1-21, July.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:7:p:9067-9087:d:52476
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    References listed on IDEAS

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    Cited by:

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    2. Huda M. Madhloom & Nadhir Al-Ansari & Jan Laue & Ali Chabuk, 2017. "RETRACTED: Modeling Spatial Distribution of Some Contamination within the Lower Reaches of Diyala River Using IDW Interpolation," Sustainability, MDPI, vol. 10(1), pages 1, December.
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    6. Guangcai Yin & Hanghai Zhu & Zhiliang Chen & Chuanghong Su & Zechen He & Xinglin Chen & Jinrong Qiu & Tieyu Wang, 2021. "Spatial Distribution and Source Apportionment of Soil Heavy Metals in Pearl River Delta, China," Sustainability, MDPI, vol. 13(17), pages 1-14, August.
    7. Yingru Li & Huixuan Li & Zhongwei Liu & Changhong Miao, 2016. "Spatial Assessment of Cancer Incidences and the Risks of Industrial Wastewater Emission in China," Sustainability, MDPI, vol. 8(5), pages 1-19, May.
    8. Wenwen Gao & Yuan Zeng & Yu Liu & Bingfang Wu, 2019. "Human Activity Intensity Assessment by Remote Sensing in the Water Source Area of the Middle Route of the South-to-North Water Diversion Project in China," Sustainability, MDPI, vol. 11(20), pages 1-13, October.
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