Evaluation of groundwater vulnerability using GIS-based DRASTIC model in Greater Monrovia, Montserrado County, Liberia

被引:15
|
作者
Koon, Arthur B. [1 ,2 ]
Anornu, Geophrey Kwame [1 ]
Dekongmen, Benjamin Wullobayi [3 ,4 ]
Sunkari, Emmanuel Daanoba [5 ,6 ]
Agyare, Asante [7 ]
Gyamfi, Charles [1 ]
机构
[1] Kwame Nkrumah Univ Sci & Technol, Environm Sanitat Ctr Kumasi, Civil Engn Dept Reg Water, Kumasi, Ghana
[2] Univ Liberia, Coll Engn, Dept Geol, Fendall Campus, Fendall, Liberia
[3] Ho Tech Univ, Dept Agr Engn, Ho, Ghana
[4] Univ Energy & Nat Resources, Dept Civil & Environm Engn, Sunyani, Ghana
[5] Univ Mines & Technol, Fac Geosci & Environm Studies, Dept Geol Engn, POB 237, Tarkwa, Ghana
[6] Nigde Omer Halisdemir Univ, Fac Engn, Dept Geol Engn, Main Campus, TR-51240 Nigde, Turkiye
[7] Suzhou Univ Sci & Technol, Sch Environm Sci & Engn, Dept Environm Engn, 99 Xuefu Rd, Suzhou, Jiangsu, Peoples R China
关键词
DRASTIC model; Groundwater; Groundwater vulnerability; GIS; Remote sensing techniques; Greater Monrovia; AQUIFER VULNERABILITY; SYSTEM; BASIN;
D O I
10.1016/j.uclim.2023.101427
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To ensure that groundwater resources are effectively protected and to improve the quality of life, it is vital to take into consideration all polluting activities that could pose a potential risk to the resource. Groundwater potential research conducted only covers 5% of Montserrado County excluding Greater Monrovia in Liberia. Although this little percentage of groundwater potential research is well known, studies on the vulnerability of the aquifer to pollution are non-existent. Therefore, this study aims at assessing groundwater vulnerability in Greater Monrovia, Mon-tserrado County, Liberia, which will help in optimizing water well drilling activities and pro-tecting the resource. A groundwater vulnerability map for the study area using the Geographic Information System (GIS) based DRASTIC Model was developed and the results suggest that 73% of the study area is very sensitive to pollution, whereas 15% and 11% are moderately and weakly sensitive to pollution, respectively. The key pollution areas identified within the study area were communities of intensive anthropogenic activities and associated geological contamination. The effectiveness of the GIS-based DRASTIC Model in groundwater vulnerability assessment was validated and nearly 60% of the wells contained fluoride concentrations that exceeded the Liberia Water Quality Standard (LWQS) permissible limit. The findings suggest that even though the water table is relatively shallow, future projects in the high and moderate sensitivity zones should be handled carefully. Planners, groundwater managers, and decision-makers may utilize the maps created by this study as a general point of reference for vulnerability when making attempts to safeguard this delicate resource.
引用
收藏
页数:22
相关论文
共 50 条
  • [31] Accomplishment and subjectivity of GIS-based DRASTIC groundwater vulnerability assessment method: a review
    S. M. Hamza
    A. Ahsan
    M. A. Imteaz
    A. Rahman
    T. A. Mohammad
    A. H. Ghazali
    [J]. Environmental Earth Sciences, 2015, 73 : 3063 - 3076
  • [32] Application of a GIS-based DRASTIC model and groundwater quality index method for evaluation of groundwater vulnerability: a case study, Sefid-Dasht
    Khodabakhshi, Nastaran
    Asadollahfardi, Gholamreza
    Heidarzadeh, Nima
    [J]. WATER SCIENCE AND TECHNOLOGY-WATER SUPPLY, 2015, 15 (04): : 784 - 792
  • [33] Accomplishment and subjectivity of GIS-based DRASTIC groundwater vulnerability assessment method: a review
    Hamza, S. M.
    Ahsan, A.
    Imteaz, M. A.
    Rahman, A.
    Mohammad, T. A.
    Ghazali, A. H.
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2015, 73 (07) : 3063 - 3076
  • [34] Evaluation of groundwater vulnerability in a Greek island using GIS-based models
    Bartzas, G.
    Zaharaki, D.
    Doula, M.
    Komnitsas, K.
    [J]. DESALINATION AND WATER TREATMENT, 2017, 67 : 61 - 73
  • [35] Groundwater vulnerability and risk mapping of the Hajeb-jelma aquifer (Central Tunisia) using a GIS-based DRASTIC model
    Saidi, Salwa
    Bouri, Salem
    Ben Dhia, Hamed
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2010, 59 (07) : 1579 - 1588
  • [36] Groundwater vulnerability and risk mapping of the Hajeb-jelma aquifer (Central Tunisia) using a GIS-based DRASTIC model
    Salwa Saidi
    Salem Bouri
    Hamed Ben Dhia
    [J]. Environmental Earth Sciences, 2010, 59 : 1579 - 1588
  • [37] GIS-based DRASTIC and composite DRASTIC indices for assessing groundwater vulnerability in the Baghin aquifer, Kerman, Iran
    Malakootian, Mohammad
    Nozari, Majid
    [J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2020, 20 (08) : 2351 - 2363
  • [38] Development of GIS-based fuzzy pattern recognition model (modified DRASTIC model) for groundwater vulnerability to pollution assessment
    Iqbal, J.
    Gorai, A. K.
    Katpatal, Y. B.
    Pathak, G.
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2015, 12 (10) : 3161 - 3174
  • [39] Development of GIS-based fuzzy pattern recognition model (modified DRASTIC model) for groundwater vulnerability to pollution assessment
    J. Iqbal
    A. K. Gorai
    Y. B. Katpatal
    G. Pathak
    [J]. International Journal of Environmental Science and Technology, 2015, 12 : 3161 - 3174
  • [40] A GIS-based DRASTIC Model for Assessing Groundwater Quality Vulnerability: Case Study of Surat and its Surroundings
    Patel, Priyank
    Mehta, Darshan J.
    Sharma, Neeraj D.
    [J]. JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2023, 99 (04) : 578 - 582