The Use of Modified Drastic Method (DRASTIC-LU) for Assessment of Groundwater Vulnerability to Pollution at the Palas Basin/Turkey

被引:0
|
作者
Soylu, Mehmet [1 ]
Bozdoganlio, Ugur [2 ]
Dadaser-Celik, Filiz [2 ]
机构
[1] Cappadocia Univ, TR-50400 Nevsehir, Turkey
[2] Erciyes Univ, TR-38280 Kayseri, Turkey
关键词
Groundwater; Vulnerability assessment; DRASTIC; DRASTIC-LU; Palas basin;
D O I
10.1007/978-3-031-04375-8_37
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Groundwater is one of our major water resources, which is affected by hydrological, climatic, and anthropogenic factors. DRASTIC model is a widely-used index-based method that can be used to evaluate the vulnerability of the groundwater systems to pollution. DRASTIC uses depth to water (D), net recharge (R), aquifer media (A), soil media (S), topography (T), impact of vadose zone (I), and hydraulic conductivity (C) information to create a GIS-based vulnerability map. In this study, we used a modified version of DRASTIC model (DRASTIC-LU) for vulnerability assessment at the Palas Basin/Turkey. DRASTIC-LU uses land use (LU) information in addition to the hydrogeological parameters. The measured nitrate concentrations in the Palas Basin were used to test the original and modified DRASTIC models. The results of the study revealed that the DRASTIC-LU improved predictions of nitrate concentrations. The results of the vulnerability assessment in this study can be used for groundwater management and planning at the Palas Basin.
引用
收藏
页码:330 / 338
页数:9
相关论文
共 50 条
  • [1] 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)
  • [2] 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
  • [3] The Use of the DRASTIC-LU/LC Model for Assessing Groundwater Vulnerability to Nitrate Contamination in Morogoro Municipality, Tanzania
    Mkumbo, Neema J.
    Mussa, Kassim R.
    Mariki, Eliapenda E.
    Mjemah, Ibrahimu C.
    EARTH, 2022, 3 (04): : 1161 - 1184
  • [4] Assessing Aquifer Vulnerability Towards Contamination of Groundwater Using a New Model (DRASTIC-LU) in Parts of Ramganga Basin, India
    Fakhre Alam
    S. K. Swaroop
    S. G. Bhartariya
    Water Conservation Science and Engineering, 2025, 10 (1)
  • [5] Assessment of groundwater vulnerability to pollution by modified DRASTIC model and analytic hierarchy process
    D. C. Jhariya
    Tarun Kumar
    H. K. Pandey
    Sunil Kumar
    Dharmendra Kumar
    Amar Kant Gautam
    Vindhyavasini Singh Baghel
    Nawal Kishore
    Environmental Earth Sciences, 2019, 78
  • [6] A new model (DRASTIC-LU) for evaluating groundwater vulnerability in parts of central Ganga Plain, India
    Alam, Fakhre
    Umar, Rashid
    Ahmed, Shakeel
    Dar, Farooq Ahmad
    ARABIAN JOURNAL OF GEOSCIENCES, 2014, 7 (03) : 927 - 937
  • [7] A New Model (DRASTIC-LU) for Evaluating Groundwater Vulnerability in Alluvial Aquifer of Upper Cheliff (Algeria)
    Zafane, Djelloul
    Gharbi, Benyoucef
    Douaoui, Abdelkader
    RECENT ADVANCES IN ENVIRONMENTAL SCIENCE FROM THE EURO-MEDITERRANEAN AND SURROUNDING REGIONS, VOLS I AND II, 2018, : 615 - 617
  • [8] Assessment of groundwater vulnerability to pollution by modified DRASTIC model and analytic hierarchy process
    Jhariya, D. C.
    Kumar, Tarun
    Pandey, H. K.
    Kumar, Sunil
    Kumar, Dharmendra
    Gautam, Amar Kant
    Baghel, Vindhyavasini Singh
    Kishore, Nawal
    ENVIRONMENTAL EARTH SCIENCES, 2019, 78 (20)
  • [9] A new model (DRASTIC-LU) for evaluating groundwater vulnerability in parts of central Ganga Plain, India
    Fakhre Alam
    Rashid Umar
    Shakeel Ahmed
    Farooq Ahmad Dar
    Arabian Journal of Geosciences, 2014, 7 : 927 - 937
  • [10] Groundwater vulnerability assessment of nitrate pollution in the Ankang Basin: using an optimized DRASTIC-LY method
    Tian, Hui
    Hui, Tian
    Changlai, Xiao
    Honggen, Xu
    Xiujuan, Liang
    Jianli, Qian
    Longtan, Qiao
    Weilong, Zhang
    Hong, Zhang
    JOURNAL OF WATER AND HEALTH, 2023, 21 (09) : 1177 - 1192