Determination of groundwater regime in a metal mineral deposit by data mining and spatial interpolation in the central region of the Republic of Cuba

This study evaluates the groundwater regime in a metal mineral deposit in Cuba, combining statistical analysis, data mining and spatial interpolation of 15 504 historical records in 38 years. Kriging Regression was used (0.091 m prediction error) and bootstrap method to model the variability of the water table in an area of 4 174.55 km² between Ciego de Avila and Camagüey regions. The results reveal flow patterns and recharge/discharge areas, with significant influence of morphometric parameters such as elevation and drainage network. The variability of the groundwater level in the mineral site (10.12–18.49 m) highlights the need for careful water management, especially due to mining pollution.