Assessment of Groundwater Vulnerability in Upper Betwa River Watershed using GIS based DRASTIC Model

被引:0
|
作者
Shobharam Ahirwar
J. P. Shukla
机构
[1] CSIR-Advanced Materials and Processes Research Institute,
来源
Journal of the Geological Society of India | 2018年 / 91卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Groundwater, the most vital water resource being used for irrigation, domestic and industrial purposes is nowadays under severe threat of contamination. Groundwater contamination risk assessment is an effective tool for groundwater management. In the study, a DRASTIC model which is based on the seven hydrogeological parameters viz: depth of water, net-recharge, aquifer media, soil media, topography, impact of vadose zone and hydraulic conductivity was used to evaluate the groundwater pollution potentiality of upper Betwa watershed. ArcGIS was used to create the ground water vulnerability map by overlaying the seven layers. Based on groundwater vulnerability map, the watershed has been divided in three vulnerable zones viz; low vulnerability zone with 42.83 km2 of area, moderate with 369.21 km2 area and high having 270.96 km2 of area. Furthermore, the DRASTIC model has been validated by nitrate concentration over the area. Results of validation have shown that in low vulnerable zone, no nitrate contamination has been recorded. While in the moderate zone nitrate has been found in the range of 1.6-10ppm. However, in high vulnerable zone 11-40ppm of nitrate concentration in groundwater has been recorded, which proves that the DRASTIC model is applicable for the prediction of groundwater vulnerability in the watershed and in similar areas too.
引用
收藏
页码:334 / 340
页数:6
相关论文
共 50 条
  • [32] Assessment of groundwater nitrate vulnerability using DRASTIC and modified DRASTIC in upper catchment of Sabarmati basin
    Gupta, Tanushree
    Kumari, Rina
    ENVIRONMENTAL EARTH SCIENCES, 2023, 82 (09)
  • [33] Assessment of groundwater nitrate vulnerability using DRASTIC and modified DRASTIC in upper catchment of Sabarmati basin
    Tanushree Gupta
    Rina Kumari
    Environmental Earth Sciences, 2023, 82
  • [34] Groundwater vulnerability assessment in the Melaka State of Malaysia using DRASTIC and GIS techniques
    Shirazi, S. M.
    Imran, H. M.
    Akib, S.
    Yusop, Zulkifli
    Harun, Z. B.
    ENVIRONMENTAL EARTH SCIENCES, 2013, 70 (05) : 2293 - 2304
  • [35] Groundwater vulnerability assessment in the Melaka State of Malaysia using DRASTIC and GIS techniques
    S. M. Shirazi
    H. M. Imran
    S. Akib
    Zulkifli Yusop
    Z. B. Harun
    Environmental Earth Sciences, 2013, 70 : 2293 - 2304
  • [36] Fuzzy optimization assessment of DRASTIC groundwater vulnerability based on entropy weight and GIS
    Zhang, B. X.
    Yu, C.
    Meng, F. H.
    Wan, L.
    CALIBRATION AND RELIABILITY IN GROUNDWATER MODELING: MANAGING GROUNDWATER AND THE ENVIRONMENT, 2009, : 111 - 114
  • [37] 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
  • [38] Groundwater vulnerability assessment of shallow aquifer in the South Texas sand sheet using a GIS-based DRASTIC model
    Ahmed, Syed Istiyak
    Cheng, Chu-Lin
    Gonzalez, Juan
    Kang, James J.
    Ho, Jungseok
    Soto-Sanchez, Leslie
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2022, 8 (03) : 4075 - 4091
  • [39] Spatial assessment of groundwater vulnerability using DRASTIC model with GIS in Uppar odai sub-watershed, Nandiyar, Cauvery Basin, Tamil Nadu
    Bhuvaneswaran, C.
    Ganesh, A.
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2019, 9
  • [40] Groundwater vulnerability assessment of shallow aquifer in the South Texas sand sheet using a GIS-based DRASTIC model
    Syed Istiyak Ahmed
    Chu-Lin Cheng
    Juan Gonzalez
    James J. Kang
    Jungseok Ho
    Leslie Soto-Sanchez
    Modeling Earth Systems and Environment, 2022, 8 : 4075 - 4091