Delineation of groundwater potential zones using AHP and GIS techniques: a case study in Barakar river basin, India

Ghosh, Milan; Sahu, Abhay Sankar

doi:10.1007/s12517-023-11253-z

Cited by 4 publications

(4 citation statements)

References 84 publications

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“…It illustrates the degree of stream development in the studied basin. It numerically appraises the capacity of surface runoff generation and landscape dissection in the basin [ 62 , 116 , 117 ]. According to Horton (1945) [ 12 ], it also reveals the water travel time because close proximity of the steam network produces high drainage density.…”

Section: Resultsmentioning

confidence: 99%

Morphometric analysis of Halda River basin, Bangladesh, using GIS and remote sensing techniques

Chowdhury

2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Morphometric analysis of Halda River basin, Bangladesh, using GIS and remote sensing techniques

Chowdhury

2024

Heliyon

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Section: Methodsmentioning

confidence: 99%

“…Mapping GWPZs is vital in addressing over pumping and promoting sustainable management for an aquifer system [19]. Specifically, they identify areas with high groundwater availability and recharge potential, helping the policymaker to locate suitable extraction sites [19]. This mapping provides valuable information on aquifers and vulnerability, enabling regulators to set pumping limits and develop long-term management strategies [20].…”

Section: Methodsmentioning

confidence: 99%

Cost-Effective Groundwater Potential Mapping by Integrating Multiple Remote Sensing Data and the Index–Overlay Method

Nainggolan,

Ni,

Darmawan

et al. 2024

Remote Sensing

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The Choushui River groundwater basin (CRGB) in Yunlin County, Taiwan, is a significant groundwater source for the western part of the region. However, increasing groundwater demand and human activities have triggered a potential crisis due to overexploitation. Therefore, groundwater potential zone (GWPZ) maps are crucial for mapping groundwater resources and water resource management. This study employs the normalized index–overlay method and fuzzy extended analytical hierarchy process (FE-AHP) to map GWPZs cost-effectively. The methodology objectively incorporates weightings from various thematic layers by normalizing and correlating parameters with observed groundwater availability (GA). Site-specific observations, including aquifer thickness, depth to the groundwater level, and porosity, inform GA calculations. Seven comprehensive layers derived from remote sensing (RS) data are processed to obtain weightings and ratings for the groundwater potential index (GWPI) in the CRGB. Selected parameters are categorized into hydrological processes, human interventions, geological, and surface profiles. Hydrological processes include precipitation, modified normalized difference water index (MNDWI), and drainage density. Human interventions consist of the enhanced vegetation index (EVI) and normalized difference building index (NDBI). Surface profiles encompass the terrain ruggedness index (TRI) and slope, enhancing the study’s multi-criteria approach. The observed GA validates the GWPZ accuracy, classifying zones into five categories. According to the GWPI of FE-AHP, about 59.56% of the CRGB area can be categorized as “moderate” to “very good” potential groundwater recharge zones. Pearson’s correlation coefficient between GWPI and GA, based on FE-AHP, outperforms the conventional AHP. This RS-based approach efficiently evaluates GA in aquifers with limited wells, highlighting crucial zones in CRGB’s proximal-fan and southeastern mid-fan for informed groundwater management strategies.

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“…We can attribute this correlation to the natural relationship between the two parameters in any part of the Earth's surface, where lineaments, often characterized by fractures and faults in the bedrock, can act as preferential pathways for water flow. This can lead to increased surface runoff during rainfall events, reducing the amount of water available for infiltration and groundwater recharge [64]. The elevation was slightly associated with the geology factor (r = 25).…”

Section: Optimum Factors For Delineating Gwp Zonesmentioning

confidence: 99%

Mapping Groundwater Potential (GWP) in the Al-Ahsa Oasis, Eastern Saudi Arabia Using Data-Driven GIS Techniques

Hassaballa,

Salih

2024

Water

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Searching for new sources of water is becoming one of the most important aspects of scientific research, especially in areas prone to drought, like Saudi Arabia. The study aim was to delineate groundwater potential zones within the Oasis of Al-Ahsa, in Saudi Arabia’s eastern region, and to identify the optimum factors that control the availability of groundwater zones. This was achieved through examining the effect of ten environmental variables on groundwater recharge, namely: slope, topographic wetness index (TWI), land cover (LC), elevation, lineament density (Ld), drainage density (Dd), rainfall, geology, and soil texture. The variables were prepared from a variety of data sources, including spatial data (i.e., DEM and Landsat-8 image), in addition to other complementing data sources for appropriate parameters extraction. Two weighted overlay methods were used, namely the simple additive weight (SAW) as well as the optimum index factor (OIF) in order to categorize the optimal set of parameters for computing GWP and identifying its zones. Two GWP maps were obtained and validated through comparison with the locations of existing wells at GWP zones. The study findings have assured the cogency of the SAW map, where it was found that nearly 45–48% of the resultant zones were characterized as in the “moderate” class, whereas around 21–37% of the entire zones area were classified within the “high” class. The soil texture parameter was determined as being the most influencing parameter for GWP mapping followed by the “geology” parameter; however, the “lineament density” (Ld) was the least important factor. Furthermore, the OIF method has facilitated the identification of the optimal parameter combination for delineating groundwater potential (GWP) zones, which included “Ld”, “land cover”, and “TWI”. The study findings and methodology can serve as a potential model for other similar regions, supporting sustainable water resource management locally as well as globally.

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Delineation of groundwater potential zones using AHP and GIS techniques: a case study in Barakar river basin, India

Cited by 4 publications

References 84 publications

Morphometric analysis of Halda River basin, Bangladesh, using GIS and remote sensing techniques

Morphometric analysis of Halda River basin, Bangladesh, using GIS and remote sensing techniques

Cost-Effective Groundwater Potential Mapping by Integrating Multiple Remote Sensing Data and the Index–Overlay Method

Mapping Groundwater Potential (GWP) in the Al-Ahsa Oasis, Eastern Saudi Arabia Using Data-Driven GIS Techniques

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