Identification of groundwater potential zones for sustainable groundwater resource management using an integrated approach in Sirkole watershed, Western Ethiopia

被引:1
作者
Yadeta, Wakgari [1 ]
Karuppannan, Shankar [1 ,2 ]
Diriba, Dechasa [3 ]
Shube, Hassen [1 ]
机构
[1] Adama Sci & Technol Univ, Sch Appl Nat Sci, Dept Appl Geol, POB 1888, Adama, Ethiopia
[2] Saveetha Univ, Saveetha Inst Med & Tech Sci SIMATS, Saveetha Dent Coll & Hosp, Dept Res Analyt, Chennai 600077, Tamil Nadu, India
[3] Dilla Univ, Coll Nat & Computat Sci, Dept Geol, POB 419, Dilla, Ethiopia
关键词
Groundwater potential zones; AHP; GIS; RS; Sirkole watershed; ANALYTIC HIERARCHY PROCESS; RIVER-BASIN; TAMIL-NADU; GIS; DISTRICT; DELINEATION; DECISION; TERRAIN; MIF;
D O I
10.1016/j.gsd.2024.101328
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The increasing population in the Sirkole watershed has led to a higher demand for groundwater resources essential for socio-economic development. To ensure sustainable groundwater management, accurate quantitative assessments are necessary, which can be achieved by utilizing scientific principles and modern techniques. This article discusses the use of RS and GIS techniques to evaluate Groundwater Potential Zones in a section of the Sirkole watershed in Western Ethiopia. The study analyzed various spatial data layers involving drainage density, land use, lineaments, slope, lithology, rainfall, geomorphology, and soil type to understand the factors influencing groundwater occurrence and movement. The eight thematic layers were weighted according to their significance. Additionally, a hierarchical ranking was performed using a pairwise comparison matrix (PCM) within the analytic hierarchy process (AHP) to determine the final normalized weights of these layers. Lineaments were extracted using PCI Geomatica and Rockwork software, and their orientations were determined. The sub-basin was divided into five zones based on the resulting GWPZ map: very high, high, moderate, low, and very low. The watershed was divided into two categories: high to very high potential for 22.8% of the area and very low to low potential for 45.4% of it. Validation against existing pumping wells showed a prediction accuracy of 75.9%, affirming the reliability of the GIS and RS techniques have been utilized for the identification of potential zones in the research area. The findings of this study can be utilized for the sustainable development of groundwater resources by pinpointing areas with high groundwater potential.
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页数:13
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共 61 条
  • [1] Abrar H., 2021, GEOL ECOL LANDSC, P1, DOI [10.1080/24749508.2021.1952761, DOI 10.1080/24749508.2021.1952761]
  • [2] Delineation of groundwater potential zone: An AHP/ANP approach
    Agarwal, Etishree
    Agarwal, Rajat
    Garg, R. D.
    Garg, P. K.
    [J]. JOURNAL OF EARTH SYSTEM SCIENCE, 2013, 122 (03): : 887 - 898
  • [3] Alemayehu T., 2006, Groundwater Occurrence in Ethiopia, V107
  • [4] Effectiveness of machine learning ensemble models in assessing groundwater potential in Lidder watershed, India
    Ali, Rayees
    Sajjad, Haroon
    Saha, Tamal Kanti
    Roshani, Md
    Masroor, Md
    Rahaman, Md Hibjur
    [J]. ACTA GEOPHYSICA, 2024, 72 (04) : 2843 - 2856
  • [5] Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin
    Allafta, Hadi
    Opp, Christian
    Patra, Suman
    [J]. REMOTE SENSING, 2021, 13 (01) : 1 - 28
  • [6] Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper blue Nile Basin, Ethiopia
    Andualem, Tesfa Gebrie
    Demeke, Girum Getachew
    [J]. JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2019, 24
  • [7] Anteneh Z., 2021, Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, DOI [10.21203/rs.3.rs-309494/v1, DOI 10.21203/RS.3.RS-309494/V1]
  • [8] Identification of Groundwater Potential Zones Using Proxy Data: Case study of Megech Watershed, Ethiopia
    Berhanu, Kibrit Gedam
    Hatiye, Samuel Dagalo
    [J]. JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2020, 28
  • [9] Bhadran A., 2022, Geosystems Geoenvironment, V1, P100093, DOI [10.1016/j.geogeo.2022.100093, DOI 10.1016/J.GEOGEO.2022.100093]
  • [10] Multi-Criteria Decision Making Approach for Watershed Prioritization Using Analytic Hierarchy Process Technique and GIS
    Chowdary, V. M.
    Chakraborthy, D.
    Jeyaram, A.
    Murthy, Y. V. N. Krishna
    Sharma, J. R.
    Dadhwal, V. K.
    [J]. WATER RESOURCES MANAGEMENT, 2013, 27 (10) : 3555 - 3571