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

被引:26
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 65 条
  • [31] Maina MM, 2017, INT J ADV AGR ENV EN, V4, P226
  • [32] Malczewski J., 1999, GIS and Multicriteria Decision Analysis
  • [33] Marghany M, 2010, INT J PHYS SCI, V5, P1501
  • [34] Martin J., 1981, NOTES MEM SERV GEOL, V258-258, P447
  • [35] Arid land salinization detected by remotely-sensed landcover changes: A case study in the Siwa region, NW Egypt
    Masoud, A. A.
    Koike, K.
    [J]. JOURNAL OF ARID ENVIRONMENTS, 2006, 66 (01) : 151 - 167
  • [36] McGrath H, 2018, NAT HAZARDS, P1
  • [37] Michard A., 1976, Notes M. eM. Serv. G. eOl. Maroc., V252, P408
  • [38] Mihi A, 2019, APPL GEOMATICS, P1
  • [39] Regional prediction of groundwater potential mapping in a multifaceted geology terrain using GIS-based Dempster-Shafer model
    Mogaji, K. A.
    Lim, H. S.
    Abdullah, K.
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2015, 8 (05) : 3235 - 3258
  • [40] Moghaddam DD., 2013, Arabian Journal of Geosciences, V8, P913, DOI [DOI 10.1007/S12517-013-1161-5, 10.1007/S12517-013-1161-5]