Comparative assessment of groundwater vulnerability using GIS-based DRASTIC and DRASTIC-AHP for Thoothukudi District, Tamil Nadu India

被引:21
|
作者
Saravanan, Subbarayan [1 ]
Pitchaikani, S. [2 ]
Thambiraja, M. [3 ]
Sathiyamurthi, Subbarayan [4 ]
Sivakumar, Vivek [5 ]
Velusamy, Sampathkumar [6 ]
Shanmugamoorthy, Manoj [6 ]
机构
[1] Natl Inst Technol, Dept Civil Engn, Tiruchirappalli, Tamil Nadu, India
[2] SRM TRP Engn Coll, Civil Engn Dept, Trichy, India
[3] Bharat Heavy Elect Ltd, Civil Engn Dept, Tiruchirappalli, Tamil Nadu, India
[4] Annamalai Univ, Fac Agr, Dept Soil Sci & Agr Chem, Chidambaram, India
[5] Hindusthan Coll Engn & Technol, Dept Civil Engn, Coimbatore 641032, Tamil Nadu, India
[6] Kongu Engn Coll, Dept Civil Engn, Erode 638060, Tamil Nadu, India
关键词
DRASTIC; AHP; Contamination; GIS; Groundwater vulnerability; Thoothukudi; AQUIFER VULNERABILITY; MODEL; AREA; POLLUTION;
D O I
10.1007/s10661-022-10601-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The groundwater is very precious in the world. Rapid urbanization and industrialization create tremendous stress on groundwater quality and quantity. Unscientific groundwater extraction and waste disposal methods impact the groundwater aquifer's susceptibility in the coastal area. This research examines how industrial waste, seawater intrusion, and solid waste dumping affect the Thoothukudi District, located on the southwest coast of Tamil Nadu, India. The groundwater vulnerability potential is determined using the DRASTIC and analytical hierarchy process (AHP)-based DRASTIC model. DRASTIC-AHP method's weights and ranks are determined using multi-criteria decision analysis (MCDA)-based pairwise comparison method. Remote sensing (RS) and geographical information system (GIS) are implemented to prepare the input layers for DRASTIC and DRASTIC-AHP. The findings reveal a very high category of vulnerability along the coastline that is covered in sand and loose sediments from an aquifer. Similar conditions exist on the southeast side, which is covered with gravel, sand, and sandstone with shale and has relatively low-slope topography. This enables higher contaminant percolation into the groundwater and raises the possibility for pollution. The DRASTIC-AHP method's results reveal that the southeast side has a significant possibility of contamination. The water table, net recharge, vadose zone, and conductivity greatly impacted the DRASTIC vulnerability assessment due to their stronger weight than theoretical weight. It may be stated that the DRASTIC technique is more cost-effective and time-efficient in analyzing a wide range of regional groundwater risks while avoiding sloppy, uncontrolled land development and other unwanted activities.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Accomplishment and subjectivity of GIS-based DRASTIC groundwater vulnerability assessment method: a review
    Hamza, S. M.
    Ahsan, A.
    Imteaz, M. A.
    Rahman, A.
    Mohammad, T. A.
    Ghazali, A. H.
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2015, 73 (07) : 3063 - 3076
  • [22] Groundwater Vulnerability Assessment to Cemeteries Pollution through GIS-Based DRASTIC Index
    Goncalves, Vanessa
    Albuquerque, Antonio
    Carvalho, Paulo
    Almeida, Pedro
    Cavaleiro, Victor
    [J]. WATER, 2023, 15 (04)
  • [23] Accomplishment and subjectivity of GIS-based DRASTIC groundwater vulnerability assessment method: a review
    S. M. Hamza
    A. Ahsan
    M. A. Imteaz
    A. Rahman
    T. A. Mohammad
    A. H. Ghazali
    [J]. Environmental Earth Sciences, 2015, 73 : 3063 - 3076
  • [24] Groundwater vulnerability assessment to pollution using GIS-based DRASTIC and GOD methods in Araihazar upazila of Narayanganj district, Bangladesh
    Abu Sayed, Muhammad
    Kamal, A. S. M. Maksud
    Hossain, Abrar
    Hasan, Mahmudul
    Khan, Mahfuzur R.
    Ahmed, Kazi Matin Uddin
    Knappett, Peter S. K.
    [J]. GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2023, 23
  • [25] Groundwater vulnerability assessment in shallow aquifer of Kathmandu Valley using GIS-based DRASTIC model
    Pathak, Dhundi Raj
    Hiratsuka, Akira
    Awata, Isao
    Chen, Luonan
    [J]. ENVIRONMENTAL GEOLOGY, 2009, 57 (07): : 1569 - 1578
  • [26] AHP-DRASTIC: software for specific aquifer vulnerability assessment using DRASTIC model and GIS
    Thirumalaivasan, D
    Karmegam, M
    Venugopal, K
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2003, 18 (07) : 645 - 656
  • [27] A GIS-based Modified DRASTIC (ANP) method for assessment of groundwater vulnerability: a case study of Nagpur city, India
    Garewal, Sahajpreet Kaur
    Vasudeo, Avinash D.
    Landge, Vishrut S.
    Ghare, Aniruddha D.
    [J]. WATER QUALITY RESEARCH JOURNAL OF CANADA, 2017, 52 (02): : 121 - 135
  • [28] GIS-based DRASTIC and composite DRASTIC indices for assessing groundwater vulnerability in the Baghin aquifer, Kerman, Iran
    Malakootian, Mohammad
    Nozari, Majid
    [J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2020, 20 (08) : 2351 - 2363
  • [29] Groundwater pollution vulnerability assessment in the Assin municipalities of Ghana using GIS-based DRASTIC and SINTACS methods
    Derrick Owusu Mensah
    Emmanuel K. Appiah-Adjei
    Dennis Asante
    [J]. Modeling Earth Systems and Environment, 2023, 9 : 2955 - 2967
  • [30] Groundwater pollution vulnerability assessment in the Assin municipalities of Ghana using GIS-based DRASTIC and SINTACS methods
    Mensah, Derrick Owusu
    Appiah-Adjei, Emmanuel K. K.
    Asante, Dennis
    [J]. MODELING EARTH SYSTEMS AND ENVIRONMENT, 2023, 9 (02) : 2955 - 2967