Groundwater Drought Monitoring and Assessment

Groundwater drought monitoring and assessment integrates hydrological observations, statistical indices and numerical modelling to characterise periods of unusually low subsurface water levels and to inform resource management. Groundwater drought differs from meteorological drought in its delayed response and persistence, as confined and unconfined aquifers buffer short-term precipitation deficits. Key approaches include standardised indices that convert raw groundwater level or recharge data into comparable anomaly metrics, remote sensing of terrestrial water storage, and process-based models that simulate aquifer responses across diverse hydrogeological settings. Emerging frameworks examine propagation mechanisms from rainfall deficits to groundwater depletion, accounting for human abstraction, aquifer properties and land-surface interactions. Early warning systems increasingly use statistical models to link seasonal climate predictors and teleconnection patterns with groundwater level forecasts. At basin and regional scales, high-resolution transient groundwater models and geostatistical schemes resolve spatial heterogeneity of drought severity and recovery times. Practical applications span agricultural planning, ecosystem protection and drought mitigation strategies by identifying vulnerable aquifers and optimising conjunctive use of surface and subsurface supplies. Ongoing challenges involve sparse monitoring networks, uncertainties in deep aquifer responses and the integration of anthropogenic influences under a changing climate.

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Groundwater Drought Monitoring and Assessment publication trend

The graph below shows the total number of articles in groundwater drought monitoring and assessment across all publications each year (not limited to Nature Index journals).

Technical terms

Aquifer: A subsurface layer of permeable rock or sediment that stores and transmits groundwater.

Standardised Groundwater Level Index (SGI): A normalised metric of groundwater level deviations used to quantify drought severity and persistence.

Standardised Precipitation Index (SPI): A statistical measure of precipitation anomalies over specified accumulation periods for drought assessment.

Generalised Additive Model (GAM): A flexible statistical framework that identifies non-linear relationships between predictor variables and a response variable.

Teleconnection index: A quantitative representation of large-scale climate oscillations, such as the El Niño–Southern Oscillation, used as a predictor in climate-hydrological studies.

References

1. Characterization and propagation from meteorological to groundwater drought in different aquifers with multiple timescales. Journal of Hydrology Regional Studies (2023).
2. Early Warning Indicators of Groundwater Drought in Mountainous Regions. Water Resources Research (2023).