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Assessing the nature of potential groundwater zones through machine learning (ML) algorithm in tropical plateau region, West Bengal, India

Kundu Moumita, Zafor Abu, Maiti Ramakrishna

Acta Geophysica

2024

Vol. 72, no. 1

433--448

Groundwater recharge is essential for managing surface and subsoil water resources. Not only for supplying people with daily drinking water, groundwater use for agricultural land and people's livelihood is also continuously increasing. As a result, there has been a decline in groundwater supply in various parts of the world, and it is highly desirable to identify the potential groundwater zones for specific sustainable development. This study aims to use an easy-to-use tool package named Landslide Sustainability Mapping Tool pack (LSM tool Pack) for preparing potential groundwater zone based on R and ArcGIS software integration. This tool uses five modules for processing. Among them, the Feature selection (FS) module brings a novel approach, determining the best subset feature for demarcating the groundwater potential zone. As a result, this best factor subset is used as an input of this tool pack. Additionally, PE modules evaluate the performance of proposed models in statistical performance metrics. In addition, the receiver operating characteristic (ROC) curve was obtained with the integration of Performance Evaluation (PE) modules and ARC maps, which helps visual interpretation in evaluating models. This study uses the LSM tool Pack in the Rupnarayan river basin to map the potential groundwater zone based on fourteen controlling factors selected through the FS module, which will further help the local government to make a substitute policy.

Investigation of Finite Groundwater Potential Zones through Analytical Hierarchy Process and ArcGIS for the Region of Visakhapatnam District, Andhra Pradesh

Kalyani Kunchala, Reddyy Mutukuru Gangireddy Muni

Ecological Engineering & Environmental Technology

2023

Vol. 24, iss. 3

161--175

Due to the indiscriminate use of limited water sources, the requirement for groundwater evaluation in India expanded substantially. Population growth and unequal distribution, poor irrigation systems, rapid urbanization/industrialization, large-scale deforestation, droughts, and inefficient land use practises contribute to groundwater depletion.As a result, the need for water for agriculture, domestic, and industry soars. The study identifies viable zones in Visakhapatnam’s emerging metropolitan metropolis by utilising the Analytical Hierarchy Process (AHP) approach with remote sensing data in ArcGIS software. Thematic layers were created by taking remote sensing data into consideration (drainage density, soil, lineament density, land use land cover, geomorphology, rainfall, slope, and geology). The method is employed to determine the weights of distinct thematic layers by obtaining the normalised weight from a pairwise matrix.To emphasize the groundwater potential zones and create a map with different zones specified, the weights and ranks extrapolated from the AHP approach have been made available in the weighted index overlay analysis tool in ArcGIS.Groundwater availability and recharge are significantly high in the good zone of the present study’s four classifications of good, moderate, low, and very low. The groundwater status, potential locations for water extraction, and best practises for groundwater recharging may all be determined with the use of the acquired information from the indication map.