Literature DB >> 29468400

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

Xiaoyu Wu1, Bin Li1, Chuanming Ma2.   

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.

Entities:  

Keywords:  Analytic hierarchy process; Beihai City, China; DRASTIC method; Groundwater; Vulnerability assessment

Mesh:

Year:  2018        PMID: 29468400     DOI: 10.1007/s11356-018-1449-9

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  4 in total

1.  [Evaluating ground water vulnerability in West Lake Watershed by using DRASTIC model].

Authors:  Liang Dong; Yinmei Zhu; Qinhai Hu; Norio Ogura
Journal:  Ying Yong Sheng Tai Xue Bao       Date:  2002-02

2.  Factor weighting in DRASTIC modeling.

Authors:  F A L Pacheco; L M G R Pires; R M B Santos; L F Sanches Fernandes
Journal:  Sci Total Environ       Date:  2014-10-23       Impact factor: 7.963

3.  Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: a case study in Jilin City of northeast China.

Authors:  Huan Huan; Jinsheng Wang; Yanguo Teng
Journal:  Sci Total Environ       Date:  2012-09-10       Impact factor: 7.963

4.  Groundwater vulnerability to pollution mapping of Ranchi district using GIS.

Authors:  R Krishna; J Iqbal; A K Gorai; G Pathak; F Tuluri; P B Tchounwou
Journal:  Appl Water Sci       Date:  2014-05-17
  4 in total
  1 in total

1.  Seawater intrusion vulnerability in the coastal aquifers of southern India-an appraisal of the GALDIT model, parameters' sensitivity, and hydrochemical indicators.

Authors:  Kaliraj Seenipandi; Chandrasekar Nainarpandian; Ramachandran Kizhur Kandathil; Selvakumar Sellamuthu
Journal:  Environ Sci Pollut Res Int       Date:  2019-02-07       Impact factor: 4.223

  1 in total

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