Geospatial techniques for groundwater potential zones delineation in a coastal municipality, Ghana

Danso, Samuel Yaw; Ma, Yue

doi:10.1016/j.ejrs.2022.12.004

Cited by 11 publications

(4 citation statements)

References 28 publications

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“…High lineament densities enhance the groundwater potential compared to lower lineament densities. Consequently, higher weights are allocated to lineaments with a high density, whereas lineaments with a low density receive lower weights, as can be seen in previous studies [36,53].…”

Section: Lineament Densitymentioning

confidence: 52%

“…The TWI values vary with the study area, as the topography of the Earth is not uniform. Red [36] reported a TWI ranging from 0.14 to 13.49 in the Burhum district in India, while TWI values ranging from 3.7 to 22 were reported for Komenda-Edina-Eguafo-Abrem (KEEA) Municipality in Ghana [53]. Higher TWI values received greater weight, as higher TWI values correlate with increased groundwater potential.…”

Section: Topographic Wetness Index (Twi)mentioning

confidence: 99%

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Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Opoku,

Shu,

Amoako-Nimako

2024

Water

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Groundwater management in the Jinan Spring basin is hampered by its complex topography, overexploitation, and excessive urbanisation. This has led to springs drying up during dry seasons and a decrease in discharge in recent years. GIS and the AHP were employed to delineate groundwater potential zones using eight thematic layers: slope, geology, lineament density, topographic wetness index (TWI), rainfall, soil, drainage density, and land use/land cover (LULC). The model’s accuracy was assessed by comparing the findings to basin groundwater observation well data. We found that 74% of the observations matched the projected zoning. Further validation utilising the receiver operating characteristic (ROC) curve gave an AUC of 0.736. According to the study, 67.31% of the land has a good GWPZ, 5.60% has a very good one, 27.07% is medium, and 0.03% is low. Heavy rains throughout the rainy season raise water levels. Dry weather lowers water levels. This study’s conclusions will protect groundwater from climate change. Integrating hydrogeological data, GIS, remote sensing, and AHP approaches maximises data use, improves groundwater potential zone delineation, and promotes sustainable groundwater resource management decision making. This integrated method can help land use planners, hydrologists, and policymakers find optimal locations for water supply projects, establish groundwater management techniques, and reduce groundwater risks.

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Section: Lineament Densitymentioning

confidence: 52%

Section: Topographic Wetness Index (Twi)mentioning

confidence: 99%

Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Opoku,

Shu,

Amoako-Nimako

2024

Water

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“…In the current study, a sensitivity analysis utilizing the map exclusion method is employed to assess the signi cance of various parameters in determining groundwater potentiality as per their assigned ranking (Mathewos et al, 2024). It suggests which map or maps exert greater or lesser in uence on the delineation of groundwater potential zones (Danso and Ma, 2023). This technique is applied for both methods used in the study.…”

Section: Investigation Of Sensitivity and In Uence Of Different Facto...mentioning

confidence: 99%

Comparative Assessment of Analytical Hierarchy Process (AHP) and Fuzzy Overlay Analysis (FOA) Models in Groundwater Potential Zone Mapping Using Sensitive Analysis: A GIS-RS Integrated Approach

Gandhi,

Songara,

Prakash

et al. 2024

Preprint

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This study addresses the pressing need for assessing groundwater potential in diverse regions worldwide, emphasizing the challenges posed by industrialization and urban expansion. Leveraging remote sensing (RS) data within an ArcGIS framework, a comparison was conducted on the effectiveness of the Analytical Hierarchy Process (AHP) and Fuzzy Overlay Analysis (FOA) models in delineating groundwater potential zones. Ten influencing factors underwent rigorous multicollinearity checks to ensure independent analysis. Both methodologies categorized the output into five classification zones, revealing variations between methods. The sensitivity analysis identified specific influential layers for each method, showcasing heightened sensitivity in assessing groundwater potential zones. Notably, AHP emphasized factors such as NDWI, Lineament density, and Land Use Land Cover (LULC), while FOA prioritized Soil Texture, Lineament Density, and NDWI. Evaluating the reliability of groundwater potential assessments, AHP demonstrated fair agreement (59.18%), while FOA exhibited substantial agreement (77.5%). FOA emerged as superior, offering a more nuanced and precise representation of spatial relationships and uncertainties. The promising performance of FOA in our study suggests its potential applicability in accurate groundwater potential assessment beyond the study area (India) to other countries regions with heterogeneous hydrogeological conditions.

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“…Groundwater is a precious renewable natural resource on Earth, constituting only 0.61% of the total global water budget (Anandagajapathi et al 2020;Seker and Efe, 2023;Danso and Ma, 2023). In recent years, groundwater exploitation has increased to meet the demand due to deterioration in quality of surface water resources.…”

Section: Introductionmentioning

confidence: 99%

Estimating aquifer transmissivity using Dar-Zarrouk parameters to delineate groundwater potential zones in Alluri Seetharama Raju District, Andhra Pradesh, India

Raju¹,

Rao²,

Subrahmanyam³

2023

Journal of Groundwater Science and Engineering

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This study aimed to explore groundwater potential zones in the EGMB of Alluri Seetharama Raju district, Andhra Pradesh, India, for drinking and agriculture purposes. To achieve this goal, 72 Vertical Electrical Soundings (VES) were conducted using the Schlumberger electrode configuration. The resistivity sounding data were analyzed to determine the aquifer thickness, basement depth, Dar-Zarrouk parameters, and aquifer transmissivity. Spatial distribution maps were generated for these parameters to understand the subsurface formation. The analysis revealed a linear groundwater potential zone (8.46 km 2 ) in the eastern part of the study area, extending in the NNE-SSW direction for 9.6 km. Six VES locations (P24, P27, P29, P30, P33, and P38) in this zone exhibit good potential (>30 m aquifer thickness), while the three VES locations (OP19, P5, and P46) in the central region are recommended for drilling bore wells. Additionally, moderate aquifer thickness (20-30 m) are identified in other VES locations (OP14, OP20, P4, P10, P12, P13, P15, P17, P18, P31, P46, and P50) along streams in the western and central part of the area, which can yield reasonable quantities of water. This information is useful for groundwater exploration and watershed management to meet the demands of tribal population in the study area.

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Geospatial techniques for groundwater potential zones delineation in a coastal municipality, Ghana

Cited by 11 publications

References 28 publications

Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Comparative Assessment of Analytical Hierarchy Process (AHP) and Fuzzy Overlay Analysis (FOA) Models in Groundwater Potential Zone Mapping Using Sensitive Analysis: A GIS-RS Integrated Approach

Estimating aquifer transmissivity using Dar-Zarrouk parameters to delineate groundwater potential zones in Alluri Seetharama Raju District, Andhra Pradesh, India

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