Groundwater potential zone assessment using integrated analytical hierarchy process-geospatial driven in a GIS environment in Gobele watershed, Wabe Shebele river basin, Ethiopia

Guduru, Jerjera Ulu; Jilo, Nura Boru

doi:10.1016/j.ejrh.2022.101218

Cited by 9 publications

(6 citation statements)

References 72 publications

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“…Studies have shown that urbanization can decrease average GWR, leading to reduced groundwater levels and base flow. Further, urban expansion has been widely As witnessed in Ho Chi Minh City, the increase in urbanization scenarios resulted in a 52% decrease in annual average recharge, indicating that land use patterns can have a substantial impact on GWR, especially changes in urban built-up regions [86][87][88]. Thus, changes in GWR rates can be quite noticeable in urban regions.…”

Section: Land Use and Land Covermentioning

confidence: 99%

Mapping of Groundwater Recharge Zones in Hard Rock Aquifer through Analytic Hierarchy Process in Geospatial Platform

Subramani,

Kamaraj,

Saravana Kumar

et al. 2024

Water

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Extensive use of groundwater is a result of the growing population; in relation to this, studies have focused on groundwater conservation measures. This study identified groundwater artificial recharge zones (GWARZs) in the upper Manimuktha sub-basin through the application of remote sensing and GIS. A spatial analysis using the analytical hierarchical process (AHP) and weighted overlay analysis (WOA) was employed by integrating several spatial thematic layers such as geology, geomorphology, aquifer thickness, lineament density (LD), drainage density (DD), soil, slope, rainfall, and land use/land cover (LULC) in order to classify the GWARZs. The geomorphology along with lithology, higher aquifer thickness, low lineament densities, higher drainage densities, and gentle slope regions, were identified as suitable areas for artificial recharge zones. The study area was divided up into five classifications based on the integration analysis: excellent (41.1 km2), good (150.6 km2), moderate (123.9 km2), bad (125.5 km2), and very poor (57.7 km2). Excellent and good GWARZs were identified in the eastern and central regions of the study area. The final outcomes of this research were evaluated with seasonal electrical conductivity (EC) variations. The majority of samples with minor seasonal EC variations were observed in the excellent and good GWARZ categories. The results showed that the spatial analysis tool is useful for GWARZ delineation and sustainably managing groundwater resources.

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Section: Land Use and Land Covermentioning

confidence: 99%

Mapping of Groundwater Recharge Zones in Hard Rock Aquifer through Analytic Hierarchy Process in Geospatial Platform

Subramani,

Kamaraj,

Saravana Kumar

et al. 2024

Water

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“…At the beginning of the study, the selection of essential parameters for potential groundwater assessment with GPZ mapping was determined by reviewing the literature [55][56][57][58][59][60]. Regarding the literature, precipitations, LULC, lithology, slope, DD, LD, and soil type factors were considered for the present study.…”

Section: Data Set and Sourcesmentioning

confidence: 99%

Delineation of a Groundwater Potential Zone Map for the Kızılırmak Delta by Using Remote-Sensing-Based Geospatial and Analytical Hierarchy Processes

Beden,

Soydan-Oksal,

Arıman

et al. 2023

Sustainability

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Locating prospective groundwater recharge zones is essential for managing and planning groundwater resources. Therefore, spatial modeling of groundwater distribution is a significant undertaking that would aid groundwater’s subsequent conservation and management. The current study employs geographic information systems (GIS) and analytical hierarchy process (AHP) based on multi-criteria analysis to identify groundwater potential zones (GPZ). The AHP technique was utilized to analyze and generate the geo-environmental factor parameters, which included drainage density, lineament density, precipitation, slope, soil texture, land use/land cover, groundwater level, and geology. Each factor is weighted according to its characteristics and effects on water potential in this process. Finally, the weighted overlay method was applied in a GIS environment to gather the weighted variables and locate the map of the GPZ. The proposed GPZ map is divided into four different groundwater potential zones: poor, moderate, high, and very high. Consequently, according to the results, 38% of the basin has very high groundwater potential, 19% has high potential, 39% has moderate potential, and 4% has poor potential from the spatial distribution of the potential regions. Therefore, the study’s conclusions can be used to sustain groundwater resources by identifying areas with high groundwater potential.

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“…It also provides information on the characteristics of rock, soil permeability, water infiltration, and surface runoff (Burayu, 2022;Etikala et al, 2019). Drainage density plays a role in groundwater potential zones of a place (Guduru & Jilo, 2022). High drainage densities in any area ensure less infiltration compared to low densities, as much of the water becomes runoff.…”

Section: Datamentioning

confidence: 99%

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Technique: A Case Study of the Ketungau Basin in Sintang, West Kalimantan

Purwanto,

Paiman,

Andrasmoro

et al. 2023

IJG

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Groundwater is one of the most valuable natural resources in Sintang, but essential basic information regarding its properties and characteristics is presently unavailable. Currently, systemic and uniform investigations, as well as groundwater potential zones mapping are yet to be conducted within the framework of basin area units to support development activities. Therefore, this study aims to identify and map groundwater potential zones using remote sensing and GIS. The employed data were obtained from drainage density, slope steepness, straightness density, total rainfall, lithology, soil type, and land use land cover. The method applied was an interpretation of secondary data, which included a) identification and evaluation of criteria, b) data collection, c) preprocessing, and e) reclassification, while the analysis technique used was a weighted overlay. The results showed that the study location has five classes of groundwater potential zones, namely highly potential, potential, moderate, non-potential, and highly non-potential with areas of 120,754.08 ha (20.62%), 220,693.71 ha (37.69%), 109,668.44 ha ( 18.73), 93,404.38 ha (15.95%), and 41,068.31 ha (7.01%), respectively. Highly potential and groundwater potential zones were identified in the central, eastern, and western parts of the Ketungau basin. In contrast, the dominant non-potential and highly non-potential zones were found along the northern basin boundary. Based on the results, remote sensing and GIS approaches are practical tools for identifying groundwater potential zones, which can be used to determine policies related to groundwater utilization.

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Groundwater potential zone assessment using integrated analytical hierarchy process-geospatial driven in a GIS environment in Gobele watershed, Wabe Shebele river basin, Ethiopia

Cited by 9 publications

References 72 publications

Mapping of Groundwater Recharge Zones in Hard Rock Aquifer through Analytic Hierarchy Process in Geospatial Platform

Mapping of Groundwater Recharge Zones in Hard Rock Aquifer through Analytic Hierarchy Process in Geospatial Platform

Delineation of a Groundwater Potential Zone Map for the Kızılırmak Delta by Using Remote-Sensing-Based Geospatial and Analytical Hierarchy Processes

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Technique: A Case Study of the Ketungau Basin in Sintang, West Kalimantan

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