Assessing Groundwater Vulnerability to Pollution in a Rapidly Urbanizing River Basin Using a Modified DRASTIC Land Use-Lineament Density Method

被引:0
|
作者
Tsegay, Tsnat [1 ,2 ]
Birhanu, Behailu [2 ]
Azagegn, Tilahun [2 ]
Hailu, Biniyam Tesfaw [2 ,3 ]
Ayenew, Tenalem [2 ]
机构
[1] Mizan Tepi Univ, Geol Dept, Mizzan, Ethiopia
[2] Addis Ababa Univ, Coll Nat & Computat Sci, Sch Earth Sci, Addis Ababa, Ethiopia
[3] Univ Helsinki, Dept Geosci & Geog, Helsinki, Finland
关键词
Awash River basin; GIS; groundwater vulnerability to pollution; modified DRASTIC-LU-LD; WATER-QUALITY; MODEL; ETHIOPIA; NITRATE;
D O I
10.1002/gj.5059
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Groundwater quality assessment is crucial for ensuring safe drinking water, protecting public health, and maintaining sustainable water resources for agricultural and industrial uses. The Awash River basin faces significant groundwater quality challenges due to rapid population growth, high urbanization, large-scale irrigation, and industrial pollution. The main objective of this study is to evaluate the intrinsic vulnerability of aquifers to pollution in the Awash Basin and identify hotspots requiring urgent intervention using a modified DRASTIC overlay analysis method. In addition to the seven parameters considered in the generic DRASTIC overlay analysis (depth to the water table, recharge, aquifer media, slope, soil media, vadose zone, and hydraulic conductivity), we incorporated land use/land-cover (LULC) and lineament density (LD) distributions (DRASTIC-LU-LD). This modification allowed us to produce more realistic groundwater vulnerability maps for the basin. To identify the most influential parameters in the overlay, sensitivity analysis was conducted using Map Removal Sensitivity Analysis (MRSA) and Single Parameter Sensitivity Analysis (SPSA). Initially, the generic DRASTIC index in the area ranges from 69 to 181, categorizing the area into four vulnerability zones: very low (21%), low (51%), medium (27%), and high (1%). After incorporating LU and LD, the index values ranged from 90 to 240. Based on the percentage of the total area studied, the inclusion of LU decreased the very low and low vulnerability zones from 72% to 44% and the inclusion of LD increased the high- and very-high-vulnerability zones from 14% to 27%. The areas most vulnerable to groundwater pollution are in the western (upper Awash), middle Awash, and northwestern regions, particularly in city centers where groundwater abstraction is significant. These high-vulnerability zones coincide with municipal, industrial, and agricultural pollution sources. The vadose zone parameter has the highest impact in both MRSA and SPSA, with a variation index value of 3.08% and a mean effective weight of 27.93%, respectively. By identifying areas vulnerable to groundwater pollution, this study provides a valuable basis for informed decision-making and the development of effective strategies for protecting groundwater from urban, industrial, and agricultural pollution sources.
引用
收藏
页码:3278 / 3295
页数:18
相关论文
共 50 条
  • [31] Assessment of Groundwater Pollution Vulnerability Using GIS Based Modified DRASTIC Model in Raipur City, Chhattisgarh
    Khan, Rubia
    Jhariya, D. C.
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2019, 93 (03) : 293 - 304
  • [32] Groundwater pollution vulnerability assessment using a modified DRASTIC model in Ho Chi Minh City, Vietnam
    Nguyen, Au Hai
    Tat, Vy Minh Hong
    IRRIGATION AND DRAINAGE, 2024, 73 (04) : 1453 - 1469
  • [33] Assessment of Groundwater Pollution Vulnerability Using GIS Based Modified DRASTIC Model in Raipur City, Chhattisgarh
    Rubia Khan
    D. C. Jhariya
    Journal of the Geological Society of India, 2019, 93 : 293 - 304
  • [34] Geospatial technology and modified DRASTIC model to assess the groundwater pollution vulnerability along a stretch of Cauvery River, South India
    O. Ilamurugan
    A. Jothibasu
    S. Anbazhagan
    Environmental Earth Sciences, 2022, 81
  • [35] Geospatial technology and modified DRASTIC model to assess the groundwater pollution vulnerability along a stretch of Cauvery River, South India
    Ilamurugan, O.
    Jothibasu, A.
    Anbazhagan, S.
    ENVIRONMENTAL EARTH SCIENCES, 2022, 81 (03)
  • [36] Changes in Groundwater Vulnerability Due to Land Reclamation in Mining Areas: An Assessment Using the DRASTIC Method
    Krogulec, Ewa
    Bukowski, Przemyslaw
    Niedbalska, Katarzyna
    Sawicka, Katarzyna
    Trzeciak, Joanna
    Zablocki, Sebastian
    WATER, 2025, 17 (05)
  • [37] A novel method of sensitivity analysis testing by applying the DRASTIC and fuzzy optimization methods to assess groundwater vulnerability to pollution: the case of the Senegal River basin in Mali
    Souleymane, Keita
    Tang Zhonghua
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2017, 17 (08) : 1375 - 1392
  • [38] Evaluation of Groundwater Vulnerability to Pollution using GIS Based DRASTIC Method in Koradi, India - A Case Study
    Janipella, Ramesh
    Quamar, Rafat
    Sanam, Ramya
    Jangam, Chandrakanth
    Pandurang
    Balwant
    Jyothi, Veligeti
    Padmakar, C.
    Pujari, Paras R.
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2020, 96 (03) : 292 - 297
  • [39] Evaluation of Groundwater Vulnerability to Pollution using GIS Based DRASTIC Method in Koradi, India — A Case Study
    Ramesh Janipella
    Rafat Quamar
    Ramya Sanam
    Chandrakanth Jangam
    Veligeti Pandurang
    C. Balwant
    Paras R. Jyothi
    Journal of the Geological Society of India, 2020, 96 : 292 - 297
  • [40] Mapping Groundwater Vulnerability in Arid Regions: A Comparative Risk Assessment Using Modified DRASTIC Models, Land Use, and Climate Change Factors
    Williams, Simone A.
    Megdal, Sharon B.
    Zuniga-Teran, Adriana A.
    Quanrud, David M.
    Christopherson, Gary
    LAND, 2025, 14 (01)