Satellite remote sensing and GIS-based multi-criteria analysis for assessing the groundwater recharge potential zones in the Regueb basin (central Tunisia)

被引:3
|
作者
Hassini, Eya [1 ]
Hassini, Sonia [2 ]
Hamdi, Mohamed [3 ]
Hamed, Younes [4 ,5 ]
机构
[1] Univ Gabes, Fac Sci FSG, Gabes, Tunisia
[2] McMaster Univ, Dept Civil Engn, Hamilton, ON L8S 4L7, Canada
[3] Univ Sherbrooke, CARTEL Ctr Dapplicat & Rech Teledetect, Sherbrooke, PQ, Canada
[4] Univ Gafsa, Fac Sci Gafsa, Lab Applicat Mat Environm Water & Energy LAM3E, City Campus Sidi Ahmed Zarroug, Gafsa 2112, Tunisia
[5] Univ Houstan, Houston, TX USA
关键词
North Africa; (Tunisia); GIS; Recharge regions; AHP; FREQUENCY RATIO MODEL; RIVER; REGION;
D O I
10.1007/s12518-022-00478-4
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The groundwater constitutes the major water resource in the Regueb region, which is one of the most important agricultural areas in Central Tunisia. Regueb has an arid climate with minimal amounts of precipitation that result in insignificant natural recharge of its aquifer compared to the overexploitation of groundwater for agricultural activities. This study aims to map groundwater recharge areas across the Regueb basin using remote sensing and geographic information system (GIS) techniques. The map indicates the potential recharge areas in the basin of interest. The areas are classified as poor, low, moderate, good, or excellent depending on the potential recharge level. Mapping the potential groundwater rechargeareas can assist in effectively and sustainably managing water resources. In this study, two potential recharge maps are established based on the weights of the basin characteristics; soil texture, land use/cover, lineaments, slope, and drainage density. For developing the first map, the weights of these factors are obtained from the literature. However, for the second map, the weights are estimated using the analytic hierarchy process (AHP). For each of the poor, low moderate, and good recharge zones, the percent area is similar in the two generated maps. The excellent recharge zones represent 22.02% of the basin's total areas, in the map developed using factors weights from literature. However, in the second map where weights are estimated using AHP, the excellent recharge zones represent 29.2% of the basin's total area. Overall, the most effective groundwater potential recharge zones are located where the lineament density is high, the drainage density is high, and the slope is low.
引用
收藏
页码:29 / 43
页数:15
相关论文
共 50 条
  • [41] An Integrated Remote Sensing and GIS-Based Technique for Mapping Groundwater Recharge Zones: A Case Study of SW Riyadh, Central Saudi Arabia
    EL-Bana, Eman Mohamed M.
    Alogayell, Haya M.
    Sheta, Mariam Hassan
    Abdelfattah, Mohamed
    [J]. HYDROLOGY, 2024, 11 (03)
  • [42] Potential sites’ selection of groundwater zones using AHP and GIS-based multi-criteria approach of Kolkata Municipal Corporation
    Halder B.
    Bandyopadhyay J.
    [J]. International Journal of Energy and Water Resources, 2023, 7 (4) : 549 - 566
  • [43] Multi-criteria analysis using satellite images and the GIS for mapping groundwater recharge zones in Saudi Arabia: a case study of the Riyadh Region
    Al Saud, Mashael
    [J]. HYDROLOGY RESEARCH, 2023, 54 (09): : 1017 - 1035
  • [44] Identification of groundwater recharge sites in Latur district of Maharashtra in India based on remote sensing, GIS and multi-criteria decision tools
    Navane, Vishal Sagar
    Sahoo, Sanat Nalini
    [J]. WATER AND ENVIRONMENT JOURNAL, 2021, 35 (02) : 544 - 559
  • [45] Application of a GIS-/remote sensing-based approach for predicting groundwater potential zones using a multi-criteria data mining methodology
    Mogaji, Kehinde Anthony
    Lim, Hwee San
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2017, 189 (07)
  • [46] Application of a GIS-/remote sensing-based approach for predicting groundwater potential zones using a multi-criteria data mining methodology
    Kehinde Anthony Mogaji
    Hwee San Lim
    [J]. Environmental Monitoring and Assessment, 2017, 189
  • [47] GIS-based delineation of potential recharge zones of groundwater and its validation with actual recharge in the Nangasai River Basin of Eastern India
    Jaman, Md. Hasanur
    Chatterjee, Jaya
    Das, Souvik
    Roy, Subha
    Sengupta, Somasis
    [J]. SUSTAINABLE WATER RESOURCES MANAGEMENT, 2024, 10 (03)
  • [48] Delineation of potential groundwater recharge zones using remote sensing, GIS, and AHP approaches
    Upwanshi, Mitina
    Damry, Kunal
    Pathak, Darshana
    Tikle, Suvarna
    Das, Sandipan
    [J]. URBAN CLIMATE, 2023, 48
  • [49] Application of GIS-based multi-criteria analysis for site selection of aquifer recharge with reclaimed water
    Pedrero, Francisco
    Albuquerque, Antonio
    do Monte, Helena Marecos
    Cavaleiro, Victor
    Jose Alarcon, Juan
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2011, 56 (01) : 105 - 116
  • [50] GIS-BASED MULTI-CRITERIA ANALYSIS IN SPATIAL PLANNING
    Drobne, Samo
    Lisec, Anka
    Cemic, Matej
    Zaucer, Tadej
    [J]. KOI 2008: 12TH INTERNATIONAL CONFERENCE ON OPERATIONAL RESEARCH, PROCEEDINGS, 2008, : 227 - +