DOI: 10.3390/sci8110351 ISSN: 2413-4155

Concealed Groundwater Day Zero: An Uncertainty–Scarcity–Vulnerability Framework for Assessing Groundwater Unsustainability and Hydro-Social Risk in Bangladesh

Sumaiya Jarin Ahammed, Chow Ming Fai, Shamsuddin Shahid, Md. Monirul Islam, Izni Zahidi, Md Sakib Hasan Tumon, Marlinda Abdul Malek, Mohamed Hafez, Iqbal Hossain

Groundwater depletion is a major environmental and socio-economic challenge in Bangladesh. This study evaluates the spatiotemporal dynamics of groundwater depletion and hydro-social vulnerability using 400 Bangladesh Water Development Board monitoring wells for 1990–2019. The conceptual basis is the Reliability–Resiliency–Vulnerability (RRV) framework; operationally, it is adapted into three normalized groundwater-stress components: Uncertainty (U, the frequency of threshold exceedance and therefore a proxy for unreliability), Scarcity (S, persistence or non-recovery after a drought episode), and Vulnerability (V, severity of groundwater-level deficit). These components are combined into a Groundwater Day Zero Index (DZI), while population and irrigation layers are used separately to characterize exposure. Drought episodes are defined when standardized groundwater level falls below −1 standard deviation of the long-term mean. Results indicate widespread depletion, with reported rates of about 0.15–0.21 m yr−1 in stressed northwestern and central regions. Dhaka has a severe DZI (≈0.91; >0.75), while much of the Barind Tract falls within high-to-severe conditions (≈0.72–0.78). National mean component values (U = 0.46, S = 0.52, V = 0.57) indicate predominantly moderate-to-high stress. Spatial associations between DZI and irrigation/urban intensity (r = 0.74, p < 0.01), population density (r = 0.76, p < 0.01), and irrigation intensity (r = 0.81, p < 0.01) provide convergent evidence that the index identifies areas with substantial anthropogenic groundwater pressure. The DZI is intended as a diagnostic screening indicator rather than a prediction of the calendar date of groundwater failure. Its principal value is to combine the frequency, persistence, and severity of groundwater stress in a form that supports spatial prioritization and periodic updating as new monitoring and climate information become available.

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