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Assessment of groundwater vulnerability by applying the modified DRASTIC model in Beihai City, China

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Abstract

This study assesses vulnerability of groundwater to pollution in Beihai City, China, as a support of groundwater resource protection. The assessment result not only objectively reflects potential possibility of groundwater to contamination but also provides scientific basis for the planning and utilization of groundwater resources. This study optimizes the parameters consisting of natural factors and human factors upon the DRASTIC model and modifies the ratings of these parameters, based on the local environmental conditions for the study area. And a weight of each parameter is assigned by the analytic hierarchy process (AHP) to reduce the subjectivity of humans to vulnerability assessment. The resulting scientific ratings and weights of modified DRASTIC model (AHP-DRASTLE model) contribute to obtain the more realistic assessment of vulnerability of groundwater to contaminant. The comparison analysis validates the accuracy and rationality of the AHP-DRASTLE model and shows it suits the particularity of the study area. The new assessment method (AHP-DRASTLE model) can provide a guide for other scholars to assess the vulnerability of groundwater to contamination. The final vulnerability map for the AHP-DRASTLE model shows four classes: highest (2%), high (29%), low (55%), and lowest (14%). The vulnerability map serves as a guide for decision makers on groundwater resource protection and land use planning at the regional scale and that it is adapted to a specific area.

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Authors and Affiliations

  1. School of Environmental Studies, China University of Geosciences, Wuhan, 430074, China

    Xiaoyu WU, Bin LI & Chuanming MA

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  1. Xiaoyu WU
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  2. Bin LI
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  3. Chuanming MA
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Correspondence to Chuanming MA.

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Responsible editor: Philippe Garrigues

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WU, X., LI, B. & MA, C. Assessment of groundwater vulnerability by applying the modified DRASTIC model in Beihai City, China. Environ Sci Pollut Res 25, 12713–12727 (2018). https://doi.org/10.1007/s11356-018-1449-9

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  • DOI: https://doi.org/10.1007/s11356-018-1449-9

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