Submitted:
06 November 2026
Posted:
09 November 2026
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Abstract
At present, substantial uncertainty surrounds climate change impacts on groundwater recharge, piezometric heads, and regional hydraulic gradients. This uncertainty is particularly pronounced in deep aquifers in semi-arid environments. Therefore, this study assessed the present and future impacts of climate change on the hydrodynamics of the Valle de León aquifer in central México. This assessment coupled surface-aquifer hydrological processes within a single integrated modelling framework. The methodology integrates the TETIS distributed hydrological model with MODFLOW and incorporates climate projections under different representative concentration pathway scenarios and Artificial Neural Networks within a unified modelling framework. The results indicate a mean annual groundwater drawdown ranging from 1.24 to 1.34 m. The largest drawdowns occur in the south-central part of the aquifer, modifying the regional hydraulic gradients towards the center of the cone of depression. This impact considers a simulated recharge rate corresponding to 12.8% to 13.3% of projected precipitation. The results indicate that projected recharge changes will not offset the persistent piezometric drawdown under the evaluated groundwater extraction rates.
Keywords:
climate change
; TETIS
; MODFLOW
; CMIP5
; RCP scenarios
; Artificial Neural Networks
; aquifer hydrodynamics
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