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

被引:43
|
作者
Wu, Xiaoyu [1 ]
Li, Bin [1 ]
Ma, Chuanming [1 ]
机构
[1] China Univ Geosci, Sch Environm Studies, Wuhan 430074, Hubei, Peoples R China
关键词
Beihai City; China; Groundwater; Vulnerability assessment; Analytic hierarchy process; DRASTIC method; POLLUTION; AQUIFERS;
D O I
10.1007/s11356-018-1449-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:12713 / 12727
页数:15
相关论文
共 50 条
  • [1] Assessment of groundwater vulnerability by applying the modified DRASTIC model in Beihai City, China
    Xiaoyu WU
    Bin LI
    Chuanming MA
    Environmental Science and Pollution Research, 2018, 25 : 12713 - 12727
  • [2] Assessment of groundwater vulnerability by applying the improved DRASTIC model: a case in Guyuan City, Ningxia, China
    Wang, Zhiye
    Xiong, Hanxiang
    Ma, Chuanming
    Zhang, Fawang
    Li, Xuan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (20) : 59062 - 59075
  • [3] Assessment of groundwater vulnerability by applying the improved DRASTIC model: a case in Guyuan City, Ningxia, China
    Zhiye Wang
    Hanxiang Xiong
    Chuanming Ma
    Fawang Zhang
    Xuan Li
    Environmental Science and Pollution Research, 2023, 30 : 59062 - 59075
  • [4] Assessment of groundwater vulnerability based on the modified DRASTIC model: a case study in Baicheng City, China
    Mingjun Liu
    Changlai Xiao
    Xiujuan Liang
    Environmental Earth Sciences, 2022, 81
  • [5] Assessment of groundwater vulnerability based on the modified DRASTIC model: a case study in Baicheng City, China
    Liu, Mingjun
    Xiao, Changlai
    Liang, Xiujuan
    ENVIRONMENTAL EARTH SCIENCES, 2022, 81 (08)
  • [6] GROUNDWATER VULNERABILITY ASSESSMENT USING GIS BASED MODIFIED DRASTIC MODEL IN NANCHANG CITY, CHINA
    Ma, Qingshan
    Jia, Junyuan
    Tian, Fujin
    Chen, Changjian
    FRESENIUS ENVIRONMENTAL BULLETIN, 2021, 30 (02): : 997 - 1009
  • [7] GIS-based groundwater vulnerability assessment using a modified DRASTIC model: A case study at Cangzhou City, China
    Gong, Xiangyi
    Wang, Yanxin
    Qi, Shihua
    Jiang, Fangyuan
    Geophysical Solutions for Environment and Engineering, Vol 1 and 2, 2006, : 829 - 832
  • [8] Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: A case study in Jilin City of northeast China
    Huan, Huan
    Wang, Jinsheng
    Teng, Yanguo
    SCIENCE OF THE TOTAL ENVIRONMENT, 2012, 440 : 14 - 23
  • [9] Groundwater vulnerability assessment based on modified DRASTIC model: a case study in Changli County, China
    Kang, Jinyu
    Zhao, Lin
    Li, Ruopu
    Mo, Huiting
    Li, Yuehua
    GEOCARTO INTERNATIONAL, 2017, 32 (07) : 749 - 758
  • [10] Groundwater vulnerability assessment in agricultural areas using a modified DRASTIC model
    Mahmood Sadat-Noori
    Kumars Ebrahimi
    Environmental Monitoring and Assessment, 2016, 188