Groundwater Pollution Risk Assessment in the Quanzhou Area

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Abstract:

Groundwater pollution under the intense of human activities in the Quanzhou coastal area strongly threatens the supply safety of groundwater sources. Based on hydrogeological conditions and the pollution load in this field, the multi-index evaluation method of pollution sources and improved DRASTIC model were employed to assess groundwater pollution risk. The rating and weights of each important factor were determined by expert evaluation method and three-level groundwater pollution risk index were obtained using ARCGIS software. The results show that groundwater pollution risk at the industrial-intensive areas are dominant. So it is necessary for government to control the emmision of pollutant from inducstry in the Quanzhou area.

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Periodical:

Advanced Materials Research (Volumes 807-809)

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1469-1472

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] L.T. Hu, B.Q. Yi, J.S. Wang, in: the Proceedings of International Conference on Energy and Environment Technology, Guilin, China, Published by the IEEE Computer Society, Volume (II), 852-855, (2009).

Google Scholar

[2] J.D. Hamerlinck, C.S. Arneson: Wyoming Ground Water Vulnerability Assessment Handbook, Volume 1: Background, Model Development, and Aquifer Sensitivity Analysis. Spatial Data and Visualization Center Publication, SDVC 98- 01-1, University of Wyoming, Laramie Wyoming, (1998).

Google Scholar

[3] M.L. Collin, A.J. Melloul: Cleaner Production, 11, 727–736, (2003).

Google Scholar

[4] L.T. Aller: Drastic : A Standardized System for Evaluating Ground Water Pollution Potential Using Hydrogeologic Settings USA : Environmental Protection Agency, (1985).

Google Scholar

[5] L.P. Bai, Y.Y. Wang, F.S. Li: Advanced Materials Research, 356-360: 819-824, (2012).

Google Scholar

[6] B.Q. Yi, L.T. Hu, J.S. Wang, J.L. Chu: Water Resources and Power, 27(4), 40-42+227, (2009) (In Chinese).

Google Scholar