Delineation of groundwater potential zones in KwaZulu-Natal, South Africa using remote sensing, GIS and AHP

Moodley, Tyrone; Seyam, Mohammed; Abunama, Taher; Bux, Faizal

doi:10.1016/j.jafrearsci.2022.104571

Cited by 22 publications

(25 citation statements)

References 33 publications

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“…The validation of results is an essential step in any predictive modeling in order to have scientific significance [25,26,45]. For the validation of GWPZ, various methods have been widely used, such as receiver performance analysis (ROC), and curve area (AUC) [9,18,23,37]. Therefore, many researchers conducted a field survey to determine the wells' water table depth or their yield to validate their result [28,42].…”

Section: Discussionmentioning

confidence: 99%

“…It is worth indicating that the consistency ratio (CR) should be less than 0.1 to consider the weights affected logically by the factors. The authors used the same parameter Elevation (altitude) [35], [38], [39] Soil [39], [40], [41] Distance from fault [3] Distance from river [3] Drainage density [9], [33], [41] Lineament density [23], [27], [40] Lithology [33], [35], [39] LULC [23], [26], [33] NDVI [3], [14], [33] Profile curvature [3]…”

Section: Factors Influencing Groundwatermentioning

confidence: 99%

“…The slope of an area is an essential parameter in identifying GWPZ [10, 23,26], it determines the rate of infiltration and runoff of surface water [10,38]. High-degree slopes increase the runoff and decrease the infiltration (lower weights), whereas the low-degree slope and flat surface facilitate groundwater recharge (higher weights) (Tab.…”

Section: Groundwater Potential Parameters Rainfall Elevation (Altitud...mentioning

confidence: 99%

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Identification of Groundwater Potential Zones (GWPZ) Using Geospatial Techniques and AHP Method: a Case Study of the Boudinar Basin, Rif Belt (Morocco)

Taher

Mourabit²,

Etebaai³

et al. 2023

GaEE

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The present study aims to delineate the groundwater potential zones (GWPZ) in the Boudinar Basin using geospatial techniques and through an analytical hierarchal process (AHP) method. For multi criteria decision analysis, fifteen thematic layers were integrated into a geographic information system (GIS) environment. In this analysis, each thematic layer is calculated for normalized weights. Furthermore, the consistency index and consistency ratio were calculated to ensure that the result was significant and reliable. The GWPZ map has been categorized into three classes: poor (50.82%), moderate (49.06%), and good (<1.00%). To compare the result, we used four other scenarios of the GWPZ. Two of them are the most similar to our result. Finally, predictive groundwater production and management strategies that ensure long-term sustainability are highly needed.

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Section: Discussionmentioning

confidence: 99%

Section: Factors Influencing Groundwatermentioning

confidence: 99%

Section: Groundwater Potential Parameters Rainfall Elevation (Altitud...mentioning

confidence: 99%

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Identification of Groundwater Potential Zones (GWPZ) Using Geospatial Techniques and AHP Method: a Case Study of the Boudinar Basin, Rif Belt (Morocco)

Taher

Mourabit²,

Etebaai³

et al. 2023

GaEE

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“…Recently, various methods have been used to protect groundwater (Magesh et al, 2011) and reservoirs, including geospatial, seismic, geological, hydrogeological, and geophysical methods (Magesh et al, 2012). Use of a combination of remote sensing (RS), GIS, and the multi-influencing factors (MIF) technique is one of the most common, dependable, and cost-effective approaches for groundwater identification and assessment of recharge and storage (Moodley et al, 2022). Several studies have used GIS and RS with multicriteria decision-making analysis (MCDMA) to detect GWPZs (Taloor et al, 2020).…”

Section: Data Spatial Resolution (M) Sourcementioning

confidence: 99%

Groundwater potential zone mapping using geographic information systems and multi-influencing factors: A case study of the Kohat District, Khyber Pakhtunkhwa

Faheem

Khattak²,

Islam³

et al. 2023

Front. Earth Sci.

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Groundwater is a vital component of life; without its identification, it is impossible to live. Therefore, identifying groundwater potential zones (GWPZs) is critical. For this purpose, the study area of the Kohat District was selected to identify GWPZs using the multi-influencing factors (MIF) approach. The Kohat area has a semi-arid to sub-humid subtropical climate and is classified as a sub-tropical, triple-season, semi-arid, sub-mountainous area. The geology, land use, soil, rainfall, lineament density, and drainage density are important parameters of ground water potential identification. The GWPZs were classified into five types: very poor, poor, good, high, and very high. We determined that 37.72% of the study area had high GWPZs, which were predominately in or near the northwest region of the study area, whereas 4.62% of the study area, in the southeast region, had very poor GWPZs. The water table data from the study varied due to different parameters used to identify the GWPZs. Our MIF results revealed that a large area of the Kohat District has good water potential. Still, due to topographic elevation changes, the groundwater potential has been limited in hilly areas. Our final results were compared with water level field data collected from different sources across the Kohat District.

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“…AHP accepts a CR value of 0-10%. If CR is equal to 0%, the comparison matrix is fully consistent and any value greater than 10% requires a review of the comparisons(Moodley et al 2022). …”

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confidence: 99%

Determination of Groundwater Potential Zone using AHP based on GIS for Konya, Türkiye

Baykal

Taylan

Terzi

2023

Preprint

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Groundwater provides most of the freshwater needs such as drinking, irrigation and industry. As a result of increasing population, urbanization and industrialization, groundwater resources are faced with the risk of decreasing and pollution. For this reason, Konya in Türkiye, having a lot of agricultural activities, was chosen as the study area. This research utilized the analytical hierarchy process (AHP), a type of multi-criteria decision-making analysis, to assess the groundwater potential in Konya, Türkiye. For this purpose, land use, slope, rainfall, topographic wetness index, drainage density, elevation, plan curvature, profile curvature and stream power index thematic maps were created, and their weights were determined with AHP. Groundwater potential map (GWPM) was produced by overlay analysis in GIS environment. The GWPM was validated by comparing it with the groundwater zones (GWZ) map given in the report of “Konya Closed Basin Management Plan” project. As a result of the validation process, the accuracy value was found to be 0.87.

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Delineation of groundwater potential zones in KwaZulu-Natal, South Africa using remote sensing, GIS and AHP

Cited by 22 publications

References 33 publications

Identification of Groundwater Potential Zones (GWPZ) Using Geospatial Techniques and AHP Method: a Case Study of the Boudinar Basin, Rif Belt (Morocco)

Identification of Groundwater Potential Zones (GWPZ) Using Geospatial Techniques and AHP Method: a Case Study of the Boudinar Basin, Rif Belt (Morocco)

Groundwater potential zone mapping using geographic information systems and multi-influencing factors: A case study of the Kohat District, Khyber Pakhtunkhwa

Determination of Groundwater Potential Zone using AHP based on GIS for Konya, Türkiye

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