Multi-criteria decision-making for groundwater potentiality zonation in a groundwater scarce region in central India using methods of compensatory aggregating functions

Chandra Roy, Kailash; Barman, Jonmenjoy; Biswas, Brototi

doi:10.1016/j.gsd.2024.101101

Groundwater for Sustainable Development

2024

DOI: 10.1016/j.gsd.2024.101101

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Multi-criteria decision-making for groundwater potentiality zonation in a groundwater scarce region in central India using methods of compensatory aggregating functions

Kailash Chandra Roy,

Jonmenjoy Barman,

Brototi Biswas

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2024

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Cited by 3 publications

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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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Detection of groundwater conditioning factors in a hilly environment

Barman,

VLH Zuali,

Bindajam

et al. 2024

Appl Water Sci

Self Cite

View full text Add to dashboard Cite

show abstract

Assessing groundwater potential for mitigating salinity issues in agricultural areas of southern Dong Nai province, Vietnam

Pham,

Thi Do,

Tran

et al. 2024

Groundwater for Sustainable Development

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Assessment of Groundwater Potential Zones Utilizing Geographic Information System-Based Analytical Hierarchy Process, Vlse Kriterijumska Optimizacija Kompromisno Resenje, and Technique for Order Preference by Similarity to Ideal Solution Methods: A Case Study in Mersin, Türkiye

Çelik,

Kuşak,

Yakar

2024

Sustainability

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The indiscriminate use of surface water has heightened the demand for groundwater supplies. Therefore, it is critical to locate potential groundwater sources to develop alternative water resources. Groundwater detection is tremendously valuable, as is sustainable groundwater management. Mersin, in southern Türkiye, is expected to confront drought shortly due to increased population, industry, and global climate change. The groundwater potential zones of Mersin were determined in this study by GIS-based AHP, VIKOR, and TOPSIS methods. Fifteen parameters were used for this goal. The study area was separated into five categories. The results show that the study area can be divided into “Very High” zones (4.98%, 5.94%, 7.96%), followed by “High” zones (10.89%, 10.32%, 16.50%), “Moderate” zones (60.68%, 52.41%, 51.56%), “Low” zones (21.28%, 28.53%, 20.90%), and “Very Low” zones (2.18%, 2.80%, 3.07%) in turn. Data from 60 wells were used to validate potential groundwater resources. The ROC-AUC technique was utilized for this. It was seen that the performance of the VIKOR model is better than that of the AHP and TOPSIS (76.5%). The findings demonstrated that the methods and parameters used are reliable for sustainable groundwater management. We believe that the study will also help decision makers for this purpose.

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Multi-criteria decision-making for groundwater potentiality zonation in a groundwater scarce region in central India using methods of compensatory aggregating functions

Cited by 3 publications

References 80 publications

Detection of groundwater conditioning factors in a hilly environment

Detection of groundwater conditioning factors in a hilly environment

Assessing groundwater potential for mitigating salinity issues in agricultural areas of southern Dong Nai province, Vietnam

Assessment of Groundwater Potential Zones Utilizing Geographic Information System-Based Analytical Hierarchy Process, Vlse Kriterijumska Optimizacija Kompromisno Resenje, and Technique for Order Preference by Similarity to Ideal Solution Methods: A Case Study in Mersin, Türkiye

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