Assessment of groundwater intrinsic vulnerability using GIS-based DRASTIC method in district Karak, Khyber Pakhtunkhwa, Pakistan

被引:1
|
作者
Muneer, Muhammad [1 ]
Khan, Mumtaz Ali [2 ]
Shinwari, Fayaz Ullah [3 ]
Ahmed, Ijaz [4 ]
Siyar, Syed Mamoon [5 ]
Alshehri, Fahad [6 ]
Shahab, Muhammad [6 ]
机构
[1] Khushal Khan Khattak Univ, Dept Geol, Karak, Pakistan
[2] Bahria Univ Islamabad, Dept Earth & Environm Sci, Islamabad, Pakistan
[3] Res Org Dev ROD, Kabul, Afghanistan
[4] Univ Quebec Abitibi Temiscamingue UQAT, Quebec City, PQ, Canada
[5] Univ Malakand, Dept Geol, Chakdara, Pakistan
[6] King Saud Univ, Coll Sci, Dept Geol & Geophys, Riyadh, Saudi Arabia
来源
FRONTIERS IN WATER | 2025年 / 7卷
关键词
groundwater pollution; contamination; groundwater vulnerability assessment; DRASTIC model; geographic information system (GIS); ASSESSING AQUIFER VULNERABILITY; CLIMATE-CHANGE; MODEL; POLLUTION; NITRATE; VICINITY; PLATEAU;
D O I
10.3389/frwa.2025.1540703
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The Study area lies in the southern Kohat deformed fold and thrust belt. This part of the Kohat plateau, borders the southern extension of the Himalayan deformation, with the Salt range to the south most. The research is based on DRASTIC model. Anthropogenic activities have the potential to pollute groundwater. An essential component of managing groundwater is vulnerability mapping. This study used the DRASTIC model to analyze aquifer vulnerability and identify the hydrogeological condition in the southern portion of the Karak, Khyber Pakhtunkhwa. For the models, the information layers were provided via geographic information systems (GIS). The DRASTIC model uses seven environmental parameters. Vulnerability index concentrations were found to be 0.78% for Very Low vulnerability, 9.57% for Low vulnerability, 24.96% for Moderate vulnerability, 54.01% for High vulnerability, and 10.68% for Very High vulnerability, according to the results. A total 164.446 km(2) of the total 1,540 km(2) area is covered by the Very High vulnerable zone. The highest Nitrate concentration recorded in the area is 11 ppm and lowest is 4.4 ppm. Around 45% of the samples surpassed the approved limit of PSQWA (Pakistan Standards and Quality Control Authority) and NSQWQ (National Standards for Quality of Water) standard. The concentration of Nitrate >10 ppm represent that some human action has contributed toward the highest concentration.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] 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
    Modeling Earth Systems and Environment, 2023, 9 : 2955 - 2967
  • [32] Spatiotemporal patterns of cutaneous leishmaniasis in the district upper and lower Dir, Khyber Pakhtunkhwa, Pakistan: A GIS-based spatial approaches
    Zeb, Ismail
    Qureshi, Naveeda Akhter
    Shaheen, Nargis
    Zafar, Mazhar Iqbal
    Ali, Abid
    Hamid, Aneeqa
    Shah, Syed Aizaz Ali
    Ashraf, Asma
    ACTA TROPICA, 2021, 217
  • [33] 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.
    WATER QUALITY RESEARCH JOURNAL OF CANADA, 2017, 52 (02): : 121 - 135
  • [34] 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.
    Applied Water Science, 2017, 7 (1) : 89 - 101
  • [35] 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
  • [36] 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
  • [37] Development of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment
    Mogaji, Kehinde Anthony
    San Lim, Hwee
    EARTH SCIENCE INFORMATICS, 2017, 10 (03) : 339 - 356
  • [38] Development of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment
    Kehinde Anthony Mogaji
    Hwee San Lim
    Earth Science Informatics, 2017, 10 : 339 - 356
  • [39] 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
  • [40] A GIS-Based Groundwater Contamination Assessment Using Modified DRASTIC Geospatial Technique
    Maqsoom, Ahsen
    Aslam, Bilal
    Alwetaishi, Mamdooh
    Awais, Muhammad
    Hassan, Usman
    Maqsoom, Sidra
    Alaloul, Wesam Salah
    Musarat, Muhammad Ali
    Zerouali, Bilel
    Hussein, Enas E.
    WATER, 2021, 13 (20)