Delineation of Groundwater Potential Zones Through AHP: A Case Study from Tamil Nadu, India

Rahaman, Aneesah; Biswas, Brototi; Barman, Jonmenjoy; Suresh, V. Madha; Kishor, Braj; Das, Jayanta

doi:10.1007/978-3-031-15377-8_21

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…The disappearance of local groundwater resources can have a significant impact on the agricultural value chain, leading to large-scale migrations and economic collapse. India (251 km3/year) had the most groundwater extraction in 2010, subsequently China, the USA, Pakistan, and Iran (63.4 km3/year), which seems to be increased in future (Abdo 2020;Rahaman et al 2021). Rapid urbanization and global climate change make groundwater an exhausted resource.…”

Section: Introductionmentioning

confidence: 99%

Detection of groundwater conditioning factors in a hilly environment

Barman,

VLH Zuali,

Bindajam

et al. 2024

Appl Water Sci

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Champhai, the rice bowl of Mizoram, is known for wet rice practices. Rapid urbanization and global climate change increased the demand for groundwater. Champhai city, being a hilly township in northeast India, is very difficult to identify the potential groundwater water availability. The present study aimed at groundwater potentiality zonation in Champhai town. For these purposes ten (10) factors from topographic, climatic, hydrological and other conditions were assigned weightage based on the AHP (analytical hierarchy process) technique. The aspect was given maximum weightage as the aspect working as the controlling factors of precipitation intensity, vegetation and soil type, while LULC (land use land cover) was assigned minimum weightage that unscientific human activities reduced infiltration rate. Subsequently, an addition of ten weighted rasters was performed for groundwater potentiality zonation. As a result, it was seen that the maximum part of the study area covered low potentiality zones (31.88%), whereas high and very high potential zone covered 14.73% and 5.08, respectively. A scientific validation technique, namely AUC (area under curve) value of 0.737, denoted a good classified groundwater water potentiality zone. Further, the single-layer sensitivity analysis highlighted that elevation, slope, aspect, infiltration number, distance to streams and rainfall had the maximum effective factors based on their effective weightage. The map removal sensitivity analysis highlighted that TWI (Topographic Wetness Index) and aspect had the maximum influence on the model. However, in a hilly environment like Champhai, the output of the current study will work as a blueprint for planning and decision making.

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Section: Introductionmentioning

confidence: 99%

Detection of groundwater conditioning factors in a hilly environment

Barman,

VLH Zuali,

Bindajam

et al. 2024

Appl Water Sci

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A hybrid integration of analytical hierarchy process (AHP) and the multiobjective optimization on the basis of ratio analysis (MOORA) for landslide susceptibility zonation of Aizawl, India

Barman,

Biswas,

Rao

2024

Nat Hazards

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Geospatial Illustration of Groundwater Potential Zone in Pandavapura Taluk of Mandya District, India.

Ramesh,

Madesha,

Chikkanna

et al. 2023

Curr. World Environ

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The current research delineates groundwater potentiality in the Pandavapura taluk to facilitate sustainable groundwater management. Multiple data layers were obtained from various sources and weighted using an Analytical Hierarchical Process (AHP). Then overlay using the Union tool in Arc GIS 10.8. This process resulted in a classified groundwater potential zone layer, which was classified into five categories. The results of this research were then validated utilizing 10-year pre and post-monsoon water depth data. The findings indicate that geospatial technologies and AHP can effectively delineate potential groundwater zones.

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Delineation of Groundwater Potential Zones Through AHP: A Case Study from Tamil Nadu, India

Cited by 3 publications

References 41 publications

Detection of groundwater conditioning factors in a hilly environment

Detection of groundwater conditioning factors in a hilly environment

A hybrid integration of analytical hierarchy process (AHP) and the multiobjective optimization on the basis of ratio analysis (MOORA) for landslide susceptibility zonation of Aizawl, India

Geospatial Illustration of Groundwater Potential Zone in Pandavapura Taluk of Mandya District, India.

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