Spatial Modeling of Groundwater Potential in the North of Minas Gerais, Brazil: An Integrated Approach Using Machine Learning and Environmental Data
Cristiano Marcelo Pereira Souza,
Lucas Augusto Pereira Silva,
Marcos Esdras Leite
et al.
Abstract:In arid and semi-arid regions, like the North of Minas Gerais (NMG) in Brazil, groundwater serves as a crucial resource. Due to the anticipated surge in demand for these resources, devising effective strategies for managing and analyzing water resources is vital. This study aims to model the spatial distribution of potential groundwater areas in the NMG by evaluating six Machine Learning Algorithms based on water flow data from 4,028 tubular wells (Groundwater Information System - SIAGAS). The modeling was sup… Show more
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