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The aim is to review the factors influencing groundwater recharge and MAR modeling, identifying methodological gaps and future research priorities.

Groundwater recharge and MAR modelling: Input data, controlling processes, and future research priorities

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Review presents factors affecting groundwater recharge in aquifers, highlighting methods and research gaps.

The aim is to review the factors influencing groundwater recharge and MAR modeling, identifying methodological gaps and future research priorities.
Review of 67 papers published from 2000 to 2025 across 34 countries.
Analysis of modeling inputs, methods, and sensitivity to various factors such as climate, land use, and aquifer properties.
Evaluation of the prevalence of scenario-based modeling including uncertainty quantification.
Climate data was the primary input in 61.2% of studies, followed by monitoring data in 52.2%.
Only 28.4% of scenario-based models included uncertainty quantification, indicating a methodological gap.
Independent validation of models was performed in 41.8% of cases, contributing to ongoing uncertainties in recharge estimation.

Khan et al. (2026) studied this question.

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