Identification of Potential Sites for Groundwater Recharge Using a GIS-Based Decision Support System in Jazan Region-Saudi Arabia

被引:56
|
作者
Mahmoud, Shereif H. [1 ]
Alazba, A. A. [1 ]
Amin, M. T. [1 ]
机构
[1] King Saud Univ, Alamoudi Water Res Chair, Riyadh 11451, Saudi Arabia
关键词
Groundwater recharge (GWR); Geographic information system (GIS); Analytical hierarchy process (AHP); Multi-Criteria Evaluation (MCE); Decision support system (DSS); ARTIFICIAL-RECHARGE; RIVER-BASIN; ZONES; IRRIGATION; RESOURCES; AREAS;
D O I
10.1007/s11269-014-0681-4
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In arid and semi-arid environments, the amount of recharge received by aquifers is far more critical to the sustainable use of water than it is in humid regions. Groundwater recharge (GWR) is critical to maintain the abundance of groundwater. In the present study, suitable areas for GWR in Jazan region have been identified by using a GIS-based decision support system (DSS). The DSS was implemented to obtain suitability maps and to evaluate the existing GWR in the study area. The DSS inputs comprised maps of rainfall surplus, slope, potential runoff coefficient, land cover/use and soil texture. The spatial extents of GWR suitability areas were identified by a hierarchical process analysis that considered five layers. The model generated a GWR map with four categories of suitability: excellent, good, moderate and poor and unsuitable. The spatial distribution of these categories showed that 50.5 and 31 % of the study area was classified as excellent and good for GWR, respectively, while 16 and 2.5 % of the area were classified as moderate and poor and unsuitable, respectively. Most of the areas with excellent to good suitability have slopes of between 4 and 8 % and are intensively cultivated areas. The major soil type in the excellent to good areas is loamy sand, followed by silt loam, and the rainfall in these areas ranges from 100 to 270 mm. The locations of existing GWR dams were compared with the locations indicated on the generated suitability map using the proximity analysis tool in ArcGIS 10.1. Most (75 %) of the existing GWR structures that were categorised as successful were within the excellent and good areas, followed by moderately suitable (25 %).
引用
收藏
页码:3319 / 3340
页数:22
相关论文
共 50 条
  • [31] GIS-based study on mine safety decision support system
    Liu, HD
    Liu, HD
    Cui, XM
    Liu, YH
    Zhang, X
    [J]. COMPUTER APPLICATIONS IN THE MINERALS INDUSTRIES, 2001, : 577 - 580
  • [32] GIS-based multi criteria decision analysis techniques used to identify potential groundwater recharge zones in Quetta Valley, Pakistan
    Muhammad, Akhtar Malik
    Akhtar, Rabia
    Sohail, Muhammad Tayyab
    Ehsan, Muhsan
    Khan, Tanzeel
    [J]. DESALINATION AND WATER TREATMENT, 2023, 302 : 91 - 103
  • [33] A GIS-based decision support system for rainwater harvesting (RHADESS)
    Kahinda, J. Mwenge
    Taigbenu, A. E.
    Sejamoholo, B. B. P.
    Lillie, E. S. B.
    Boroto, R. J.
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2009, 34 (13-16) : 767 - 775
  • [34] Monitoring prospective sites for rainwater harvesting and stormwater management in the United Kingdom using a GIS-based decision support system
    Shereif H. Mahmoud
    X. Tang
    [J]. Environmental Earth Sciences, 2015, 73 : 8621 - 8638
  • [35] Identification of potential groundwater recharge zones in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique
    Kaliraj, S.
    Chandrasekar, N.
    Magesh, N. S.
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2014, 7 (04) : 1385 - 1401
  • [36] Monitoring prospective sites for rainwater harvesting and stormwater management in the United Kingdom using a GIS-based decision support system
    Mahmoud, Shereif H.
    Tang, X.
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2015, 73 (12) : 8621 - 8638
  • [37] Identification of potential groundwater recharge zones in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique
    S. Kaliraj
    N. Chandrasekar
    N. S. Magesh
    [J]. Arabian Journal of Geosciences, 2014, 7 : 1385 - 1401
  • [38] GIS-Based Decision Support System for Safe and Sustainable Building Construction Site in a Mountainous Region
    Mallick, Javed
    Ibnatiq, Abdulaziz Awad
    Ben Kahla, Nabil
    Alqadhi, Saeed
    Singh, Vijay P.
    Hoa, Pham Viet
    Hang, Hoang Thi
    Hong, Nguyen Van
    Le, Hoang Anh
    [J]. SUSTAINABILITY, 2022, 14 (02)
  • [39] ESTIMATION OF SHALLOW GROUNDWATER RECHARGE USING A GIS-BASED DISTRIBUTED WATER BALANCE MODEL
    Graf, Renata
    Przybylek, Jan
    [J]. QUAESTIONES GEOGRAPHICAE, 2014, 33 (03) : 27 - 37
  • [40] 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