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
  • [41] Assessing Groundwater Resource Vulnerability by Coupling GIS-Based DRASTIC and Solute Transport Model in Ajmer District, Rajasthan
    Joshi, Pranjay
    Gupta, Pankaj Kumar
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2018, 92 (01) : 101 - 106
  • [42] Assessing Groundwater Resource Vulnerability by Coupling GIS-Based DRASTIC and Solute Transport Model in Ajmer District, Rajasthan
    Pranjay Joshi
    Pankaj Kumar Gupta
    Journal of the Geological Society of India, 2018, 92 : 101 - 106
  • [43] Research on GIS-based groundwater pollution vulnerability assessment in Chengting new district, China
    Bai, Liping
    Gong, Bin
    Gan, Xiaoli
    Luo, Yun
    ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 2762 - 2765
  • [44] Groundwater vulnerability assessment using GIS-based DRASTIC models in shallow aquifer of Gabes North (South East Tunisia)
    Ibtissem Riahi Chandoul
    Samir Bouaziz
    Hamed Ben Dhia
    Arabian Journal of Geosciences, 2015, 8 : 7619 - 7629
  • [45] Assessment of groundwater vulnerability to nitrates using the GIS-based DRASTIC and SI methods: a case study in Zacharo area, Greece
    Panagopoulos, Georgios P.
    Katsanou, Konstantina N.
    Barouchas, Pantelis E.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (02)
  • [46] A GIS-based DRASTIC model for assessing groundwater vulnerability in the Ordos Plateau, China
    Yin, Lihe
    Zhang, Eryong
    Wang, Xiaoyong
    Wenninger, Jochen
    Dong, Jiaqiu
    Guo, Li
    Huang, Jinting
    ENVIRONMENTAL EARTH SCIENCES, 2013, 69 (01) : 171 - 185
  • [47] A GIS-based DRASTIC model for assessing groundwater vulnerability in the Ordos Plateau, China
    Lihe Yin
    Eryong Zhang
    Xiaoyong Wang
    Jochen Wenninger
    Jiaqiu Dong
    Li Guo
    Jinting Huang
    Environmental Earth Sciences, 2013, 69 : 171 - 185
  • [48] Groundwater vulnerability assessment using GIS-based DRASTIC models in shallow aquifer of Gabes North (South East Tunisia)
    Chandoul, Ibtissem Riahi
    Bouaziz, Samir
    Ben Dhia, Hamed
    ARABIAN JOURNAL OF GEOSCIENCES, 2015, 8 (09) : 7619 - 7629
  • [49] Assessment of groundwater vulnerability to nitrates using the GIS-based DRASTIC and SI methods: a case study in Zacharo area, Greece
    Georgios P. Panagopoulos
    Konstantina N. Katsanou
    Pantelis E. Barouchas
    Environmental Monitoring and Assessment, 2023, 195
  • [50] Improvement of GIS Based DRASTIC Method to Assess Groundwater Vulnerability
    Sadat-Noori, Seyed Mahmood
    Ebrahimi, Kumars
    PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS III AND IV, 2013,