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Assessing groundwater vulnerability and its inconsistency with groundwater quality, based on a modified DRASTIC model: a case study in Chaoyang District of Beijing City

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Abstract

Depth to water, net recharge, aquifer media, soil media, topography, impact of the vadose zone media, and hydraulic conductivity of the aquifer (DRASTIC) model based on a geographic information system (GIS) is the most widely adopted model for the evaluation of groundwater vulnerability. However, the model had its own disadvantages in various aspects. In this work, several methods and the technologies have been introduced to improve on the traditional model. The type of the aquifer was replaced by the thickness of the aquifer, and the index of topography was removed. The indexes of the exploitation of the groundwater and the type of land use that reflected the special vulnerability were added to the system. Furthermore, considering the wideness of the study area, the fixed weights in the DRASTIC model were not suitable. An analytic hierarchy process (AHP) method and an entropy weight (Ew) method were introduced to calculate the weights of parameters. Then, the Spearman Rho correlation coefficients between IVI and the Nemerow synthetical pollution index (NI) of the groundwater quality were significantly improved, after the four steps of modification. The level differences with little gaps between Nemerow comprehensive pollution indexes and groundwater vulnerability occupied the proportion of the area from 75.68 to 84.04%, and finally, a single-parameter sensitivity analysis for the two models was used to compute the effective weights of these parameters. By comparison, the DRMSICEL model seems to perform better than the DRASTIC model in the study area. And the results show discrepancies between the vulnerability indices and groundwater quality as indicated by existence of vulnerable areas with bad water quality and vice versa.

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Acknowledgements

This work was funded by the National 973 Program of China (2015CB452701), the National Natural Science Foundation of China (51379215), the China Institute of Water Resources and Hydropower Research (No. ZJ1224), and the Foundation of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (No. 2014QN01). The authors would like to express their sincere appreciation to the anonymous reviewers and the editor whose valuable comments and suggestions have greatly improved the quality of the paper.

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Correspondence to Yongxiang Zhang or Yangwen Jia.

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Hao, J., Zhang, Y., Jia, Y. et al. Assessing groundwater vulnerability and its inconsistency with groundwater quality, based on a modified DRASTIC model: a case study in Chaoyang District of Beijing City. Arab J Geosci 10, 144 (2017). https://doi.org/10.1007/s12517-017-2885-4

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