Delineation of groundwater potential zones using integrated remote sensing, GIS and multi-criteria decision making (MCDM)

被引:6
|
作者
Elubid, Basheer A. [1 ,2 ]
Huang, Tao [1 ]
Peng, Dao-Ping [1 ]
Ahmed, Ekhlas H. [3 ]
Babiker, Mohammed M. [4 ]
机构
[1] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Dept Environm Sci & Engn, High Tech Zone, Chengdu 611756, Peoples R China
[2] Al Neelain Univ, Fac Petr & Minerals, Dept Hydrogeol, Khartoum 11121, Sudan
[3] Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611756, Peoples R China
[4] Gedaref State Water Corp, Water Environm Sanitat Project WES, Gedaref 32214, Sudan
关键词
Boreholes data; Electrical resistivity; Subsurface Ethology; Thematic layers; VULNERABILITY MAPPING APPLICATION; COASTAL AQUIFER; NORTHEAST; VOLCANISM; SINKHOLES; BASIN; AREA;
D O I
10.5004/dwt.2020.25761
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This study aimed to delineate the groundwater potential zones (GWPZ) through the integrations of remote sensing (RS), geographical information system (GIS), and multi-criteria decision making (MCDM). In this case, the RS and GIS were used to produce the hydrogeological thematic layers, that is, geomorphology, slope, geology, land use, lineaments, and drainage. Therefore, the weighting of each thematic layer was done by the weighted overlay technique in the ArcGIS environment and normalized by the MCDM technique. The results consequently acquired from the integration of the various thematic maps were then cross-checked with an electrical resistivity of the subsurface layers and boreholes data; it was produced a good match with the GWPZ model. The final map of the area was demarcated by four different GWPZ, namely, very good (11.03%), good (38.44%) poor (37.33%), and very poor (13.20%) of the Shemeliab watershed area. The outcomes of this research are advantageous to the decision-makers of the water management for locating suitable positions of new production wells for their target areas. The process and findings of this study also could be used for improving plans for potential utilization of the groundwater resources in other regions of the same geological, hydrogeological, and environmental conditions.
引用
收藏
页码:248 / 258
页数:11
相关论文
共 50 条
  • [41] Modeling of geophysical derived parameters for groundwater potential zonation using GIS-based multi-criteria conceptual model
    Bayode, Sunday
    Mogaji, Kehinde Anthony
    Egbeyemi, Olakunle
    APPLIED WATER SCIENCE, 2024, 14 (02)
  • [42] Assessment of recharge capacity potential of groundwater using comparative multi-criteria decision analysis approaches
    Minea, Ionut
    Boicu, Daniel
    Chelariu, Oana-Elena
    Iosub, Marina
    Enea, Andrei
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2022, 32 (04) : 735 - 756
  • [43] Integrated knowledge- and data-driven approaches for groundwater potential zoning using GIS and multi-criteria decision making techniques on hard-rock terrain of Ahar catchment, Rajasthan, India
    Machiwal, Deepesh
    Rangi, Nishtha
    Sharma, Arun
    ENVIRONMENTAL EARTH SCIENCES, 2015, 73 (04) : 1871 - 1892
  • [44] Determining the occurrence of potential groundwater zones using integrated hydro-geomorphic parameters, GIS and remote sensing in Enugu State, Southeastern, Nigeria
    Igwe, Ogbonnaya
    Ifediegwu, Stanley Ikenna
    Onwuka, Obialo Solomon
    SUSTAINABLE WATER RESOURCES MANAGEMENT, 2020, 6 (03)
  • [45] Assessment of groundwater potential zones using GIS and remote sensing techniques in the Bole District, Savannah Region, Ghana
    Abebrese S.
    Anornu G.K.
    Kabo-Bah A.T.
    Dekongmen B.W.
    Sunkari E.D.
    International Journal of Energy and Water Resources, 2022, 6 (4) : 445 - 456
  • [46] Geospatial and Multi-Criteria Analysis for Identifying Groundwater Potential Zones in the Oltu Basin, Turkey
    Tasci, Sait
    Senocak, Serkan
    Dogru, Fikret
    Wang, Bangbing
    Abdelrahman, Kamal
    Fnais, Mohammed S.
    El-Raouf, Amr Abd
    WATER, 2025, 17 (02)
  • [47] Mapping groundwater recharge potential zones in arid region using remote sensing and GIS perspective, Central Tunisia
    Missaoui, Rim
    Abdelkarim, Bilel
    Ncibi, Kaouther
    Gentilucci, Matteo
    Brahmi, Serhane
    Ayadi, Yosra
    Hamed, Younes
    EURO-MEDITERRANEAN JOURNAL FOR ENVIRONMENTAL INTEGRATION, 2023, 8 (3) : 557 - 571
  • [48] Artificial Groundwater Recharge Zones Mapping Using Remote Sensing and GIS: A Case Study in Indian Punjab
    Singh, Amanpreet
    Panda, S. N.
    Kumar, K. S.
    Sharma, Chandra Shekhar
    ENVIRONMENTAL MANAGEMENT, 2013, 52 (01) : 61 - 71
  • [49] Delineation of groundwater potential zones in Araniar River basin, Tamil Nadu, India: an integrated remote sensing and geographical information system approach
    Jasmin, I.
    Mallikarjuna, P.
    ENVIRONMENTAL EARTH SCIENCES, 2015, 73 (07) : 3833 - 3847
  • [50] Delineation of groundwater potential zones and identification of artificial recharge sites in the Kinnerasani Watershed, India, using remote sensing-GIS, AHP, and Fuzzy-AHP techniques
    Shekar, Padala Raja
    Mathew, Aneesh
    AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY, 2023, 72 (08) : 1474 - 1498