Characterization of groundwater potential zones using analytic hierarchy process and integrated geomatic techniques in Central Middle Atlas (Morocco)

被引:22
|
作者
Hamdani, Nadia [1 ]
Baali, Abdennasser [1 ]
机构
[1] Univ Sidi Mohamed Ben Abdellah, Lab Geosyst Environm & Sustainable Dev, Fac Sci Dhar El Mahraz, BP 1796, Fez Atlas 30003, Morocco
关键词
Groundwater potential mapping; HAND geomorphology model; RS; AHP; GIS; GEOGRAPHICAL INFORMATION-SYSTEM; REMOTE-SENSING DATA; TAMIL-NADU; GIS; REGION; HAND; AREA; MODEL; WATERSHEDS; DISTRICT;
D O I
10.1007/s12518-020-00300-z
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Analytic hierarchy process (AHP) is an invaluable tool that has been applied by different specialists to upgrade their administration capacity. Managing groundwater resources particularly under arid land faces several limitations and problems such as the implications of various spatial factors, which lead managers to utilize multicriteria decision. In this research, a consistent approach was applied to identify groundwater potential (GWP) areas through the use of AHP, geographic information system (GIS), and (RS) techniques in the Central Middle Atlas, Morocco. First of all, the efficient groundwater potential thematic layers including lithology (Lt), karst (K), height above the nearest drainage (HAND) geomorphology, which is called HG, and lineament density (LD) were derived through spatial databases. Then, the weights assigned to the thematic layers on the basis of expert knowledge were standardized by the AHP's eigen vector technique. To calculate the groundwater potential index, the weighted linear combination (WLC) method was implemented in a GIS environment. The study found that only 3.88% of the study area had very good groundwater potential and 17.22% had a good potential, in addition to 20.20% with moderate potential, whereas in the most part of the region, 29.89% is within poor groundwater potential, and 18.60% are within very poor groundwater potential and 10.49% with non-potential. The very good GWP areas are located where the land cover majority is forests. The good, moderate, and poor GWP zones are located in areas where the land cover majority is shrublands. The poor and non-potential GWP zones are located in areas where the land cover majority is cropland.
引用
收藏
页码:323 / 335
页数:13
相关论文
共 50 条
  • [41] Mapping groundwater potential zones using relative frequency ratio, analytic hierarchy process and their hybrid models: case of Nzhelele-Makhado area in South Africa
    Muavhi, Nndanduleni
    Thamaga, Kgabo Humphrey
    Mutoti, Mulalo Isaih
    [J]. GEOCARTO INTERNATIONAL, 2022, 37 (21) : 6311 - 6330
  • [42] Delineation of groundwater potential zones using remote sensing (RS), geographical information system (GIS) and analytic hierarchy process (AHP) techniques: a case study in the Leylia-Keynow watershed, southwest of Iran
    Mohammadi-Behzad, H. R.
    Charchi, A.
    Kalantari, N.
    Nejad, A. Mehrabi
    Vardanjani, H. Karimi
    [J]. CARBONATES AND EVAPORITES, 2019, 34 (04) : 1307 - 1319
  • [43] Identification of groundwater potential zones using integrated GIS-based analytical hierarchy process and multicriteria decision analysis methods in Jedeb watershed, Ethiopia
    Temesgen Mekuriaw Manderso
    Yitbarek Andualem Mekonnen
    Tadege Aragaw Worku
    Imran Ahmed
    Shimelis G. Setegn
    [J]. Sustainable Water Resources Management, 2024, 10
  • [44] Identification of groundwater potential zones using integrated GIS-based analytical hierarchy process and multicriteria decision analysis methods in Jedeb watershed, Ethiopia
    Manderso, Temesgen Mekuriaw
    Mekonnen, Yitbarek Andualem
    Worku, Tadege Aragaw
    Ahmed, Imran
    Setegn, Shimelis G.
    [J]. SUSTAINABLE WATER RESOURCES MANAGEMENT, 2024, 10 (01)
  • [45] Mapping of Groundwater Potential Zones in Crystalline Terrain Using Remote Sensing, GIS Techniques, and Multicriteria Data Analysis (Case of the Ighrem Region, Western Anti-Atlas, Morocco)
    Benjmel, Khalid
    Amraoui, Fouad
    Boutaleb, Said
    Ouchchen, Mohammed
    Tahiri, Amine
    Touab, Amine
    [J]. WATER, 2020, 12 (02)
  • [46] GIS-based identification of potential watershed recharge zones using analytic hierarchy process in Sikkim Himalayan region
    Zimik, Horthing V.
    Angchuk, Thupstan
    Misra, Anil Kumar
    Ranjan, Rakesh Kr.
    Wanjari, Nishchal
    Basnett, Smriti
    [J]. APPLIED WATER SCIENCE, 2022, 12 (11)
  • [47] GIS-based identification of potential watershed recharge zones using analytic hierarchy process in Sikkim Himalayan region
    Horthing V. Zimik
    Thupstan Angchuk
    Anil Kumar Misra
    Rakesh Kr. Ranjan
    Nishchal Wanjari
    Smriti Basnett
    [J]. Applied Water Science, 2022, 12
  • [50] Application of analytical hierarchy process and GIS techniques to delineate the groundwater potential zones in and around Jorhat and Majuli areas of eastern Assam, India
    Bordoloi, Abhiraj
    Singh, Kshetrimayum Krishnakanta
    Gaichunglu, Gangmei
    [J]. MODELING EARTH SYSTEMS AND ENVIRONMENT, 2023, 9 (02) : 1589 - 1612