Underground Dam Locating for Sustainable Groundwater Management Using Numerical Simulation

November 11, 2025Open Access

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Key Points

This research aims to assess groundwater management through numerical simulations and analyze ecological footprints over time.
Applied machine learning with Support Vector Regression (SVR) to analyze ecological footprints.
Evaluated water resource status from 2010 to 2020 in Iran using numerical simulations.
Compared ecological footprints across different years to track stability and variation.
Ecological footprints showed steady higher levels from 2010 to 2020 but decreased significantly from 2014 to 2016.
Predictions indicate a continued decrease in semi-arid regions' ecological footprints over the past decade.
Forecasts suggest a rising trend in ecological footprints from 2017 to 2020, indicating worsening water crisis in central deserts.

Numerical simulation evaluates groundwater management and ecological footprints in semi-arid regions, indicating water crisis trends.

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Roza Gholamein (2025) studied this question.

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