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Harnessing Hydrolgeological Parametrs: Prediction of Water Probability and Levels for Water Well Construction Using Ai-Enabled Models

Year: 2025

Type: article

Abstract: The AI-Based Decision Support System for Water Well Construction utilizes data from the National Aquifer Mapping and Management System (NAQUIM) and employs advanced AI techniques like regression analysis, decision trees, and neural networks.

Source: Journal of Water Resource Engineering and Management

DOI: 10.37591/jowrem.v12i01.208104

Authors: Pranavi Kannepogu, T. Jhansi Rani, V.S.C. Prasanthi, Deepthi Marada

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: diamond

OpenAlex ID: W4410260695

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