Groundwater vulnerability assessment of nitrate pollution in the Ankang Basin: using an optimized DRASTIC-LY method

被引:2
作者
Tian, Hui [1 ]
Hui, Tian [2 ,3 ,4 ,5 ]
Changlai, Xiao [2 ,5 ]
Honggen, Xu [3 ]
Xiujuan, Liang [2 ,5 ]
Jianli, Qian [4 ]
Longtan, Qiao [4 ]
Weilong, Zhang [4 ]
Hong, Zhang [4 ]
机构
[1] Shenyang Geol Survey Ctr, Shenyang, Peoples R China
[2] Jilin Univ, Key Lab Groundwater Resources & Environm, Minist Educ, Changchun 130021, Peoples R China
[3] China Geol Survey, Changsha Nat Resources Comprehens Survey Ctr, Changsha 410600, Peoples R China
[4] China Geol Survey, Xian Mineral Resources Survey Ctr, Xian 710000, Peoples R China
[5] Jilin Univ, Coll New Energy & Environm, Changchun 130021, Peoples R China
关键词
China; DRASTIC model; DRASTIC-LY model; groundwater vulnerability; nitrate pollution; ASSESSING AQUIFER VULNERABILITY; RIVER-BASIN; MODEL; GIS; CONTAMINATION; CITY; AHP;
D O I
10.2166/wh.2023.062
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 retains the basic structure of DRASTIC model and obtains more specific evaluation results by adding land-use type and groundwater resource yield parameters, modifying the rating scale and weight of nine parameters. Comparison of the modified DRASTIC-LY vulnerability map with the map of the original DRASTIC-LY method revealed differences in 40.49% of the study area. The risk map shows that the very high vulnerability area decreased from 2.79 to 1.67%, while the high vulnerability area increased from 18.70 to 28.86%. Areas with low vulnerability increased by 10.15%, while areas with medium vulnerability decreased by 15.01%. The areas with very high groundwater vulnerability are mainly distributed in the Hanbin area on the north bank of the Han River, the areas with high are mainly concentrated on both sides of the Fujia River, while the areas with low are distributed in most areas in the west of the basin. The Pearson's correlation factor was 0.0583 in the original DRASTIC model, 0.1113 in the DRASTIC-LY method and 0.8291 in the modified DRASTIC-LY model, which indicated that the revised DRASTIC-LY model was more appropriate than that constructed by the original model. The results can help the government to the protection of water resources.
引用
收藏
页码:1177 / 1192
页数:16
相关论文
共 48 条
  • [1] A GIS based DRASTIC model for assessing aquifer vulnerability in Southern Punjab, India
    Ahada C.P.S.
    Suthar S.
    [J]. Modeling Earth Systems and Environment, 2018, 4 (2) : 635 - 645
  • [2] Assessment of Groundwater Vulnerability in Upper Betwa River Watershed using GIS based DRASTIC Model
    Ahirwar, Shobharam
    Shukla, J. P.
    [J]. JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2018, 91 (03) : 334 - 340
  • [3] Groundwater pollution risk mapping using modified DRASTIC model in parts of Hail region of Saudi Arabia
    Ahmed, Izrar
    Nazzal, Yousef
    Zaidi, Faisal
    [J]. ENVIRONMENTAL ENGINEERING RESEARCH, 2018, 23 (01) : 84 - 91
  • [4] A GIS-based DRASTIC model for assessing intrinsic groundwater vulnerability in northeastern Missan governorate, southern Iraq
    Al-Abadi A.M.
    Al-Shamma’a A.M.
    Aljabbari M.H.
    [J]. Applied Water Science, 2017, 7 (1) : 89 - 101
  • [5] Intrinsic vulnerability assessment for the Quaternary aquifer in Baghdad area using DRASTIC model
    Al-Mallah, Inass Abdal Razaq
    Al-Qurnawi, Wasan Sabeh
    [J]. APPLIED WATER SCIENCE, 2018, 8 (05)
  • [6] ALLER L, 1987, J GEOL SOC INDIA, V29, P23
  • [7] A GIS-based DRASTIC model for assessing aquifer susceptibility of Safdarabad Tehsil, Sheikhupura District, Punjab Province, Pakistan
    Aslam, Bilal
    Ismail, Sharjeel
    Ali, Ibtisam
    [J]. MODELING EARTH SYSTEMS AND ENVIRONMENT, 2020, 6 (02) : 995 - 1005
  • [8] A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan
    Babiker, IS
    Mohamed, MAA
    Hiyama, T
    Kato, K
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2005, 345 (1-3) : 127 - 140
  • [9] Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran
    Baghapour, Mohammad Ali
    Nobandegani, Amir Fadaei
    Talebbeydokhti, Nasser
    Bagherzadeh, Somayeh
    Nadiri, Ata Allah
    Gharekhani, Maryam
    Chitsazan, Nima
    [J]. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE AND ENGINEERING, 2016, 14
  • [10] Groundwater vulnerability mapping using modified DRASTIC ANP
    Garewal, Sahajpreet Kaur
    Vasudeo, Avinash D.
    Landge, Vishrut S.
    Ghare, Aniruddha D.
    [J]. GRADEVINAR, 2019, 71 (04): : 283 - 296