2010
DOI: 10.1016/j.cageo.2009.06.014
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Groundwater recharge study in arid region: An approach using GIS techniques and numerical modeling

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Cited by 148 publications
(54 citation statements)
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“…All relevant features, such as topography, digital elevation model (DEM), borehole data, geological structure, drainage density, groundwater flow, and boundary conditions of the aquifer system are very important for setting up the model [31,32].…”
Section: Geological Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…All relevant features, such as topography, digital elevation model (DEM), borehole data, geological structure, drainage density, groundwater flow, and boundary conditions of the aquifer system are very important for setting up the model [31,32].…”
Section: Geological Modelmentioning
confidence: 99%
“…The observation wells are distributed throughout the study area and, thus, are representative of the regional aquifer conditions. Trial and error was used to calibrate the model using the following procedure [31]. First, the recharge rate was adjusted to minimize the difference between the observed and calculated groundwater level contour maps and heads.…”
Section: Model Calibration and Sensitivity Analysismentioning
confidence: 99%
“…GIS-MCDA for the identification of MAR suitable sites has been applied to entire countries such as Australia [15] and Spain [16], as well as in many regions of the world, for example in India [17][18][19][20][21][22][23], Iran [24][25][26][27], Jordan [28,29], Portugal [12,30], Tunisia [31,32], and the United States [33,34]. The general process for MAR site suitability analysis proposed in [12] is: problem definition, screening of feasible areas, suitability mapping-including the classification of thematic layers or criteria, standardization, weighting of the criteria and layers overlaying-and sensitivity analysis.…”
Section: Geographic Information System Multi-criteria Decision Analysmentioning
confidence: 99%
“…GIS and GIS-based tools are widely used in groundwater studies to analyze and visualize results of groundwater vulnerability (e.g., Kattaa et al 2010;Nobre et al 2007;Pathak et al 2009), groundwater storage potential (e.g., Singh and Prakash 2002;Wahyuni et al 2008), groundwater flow and contaminant transport modeling (e.g. Akbar et al 2011;Chenini and Mammou 2010), among others. Because of the strengths of the GIS techniques in terms of analysis and visualization, some studies have used it as a tool to estimate and map groundwater storage potentials for management purposes (e.g., Johnson and Njuguna 2002;Jorcin 2006;Singh and Prakash S 2002;Wahyuni et al 2008).…”
Section: Introductionmentioning
confidence: 99%