Trend Analysis of Groundwater Resources under Climate Variability
Summary
Trend analysis of groundwater resources under climate variability addresses the assessment of long-term changes in water table depth, aquifer recharge and salinisation in response to shifts in precipitation patterns, temperature trends and land use change. Researchers employ a combination of non-parametric tests, regression models and hydrological simulations to disentangle climatic signals from anthropogenic stresses such as abstraction and irrigation. Global case studies reveal pervasive declines in groundwater levels in arid and semi-arid regions driven by reduced recharge and increased evapotranspiration, while some shallow aquifers exhibit stabilisation where managed recharge and conservation measures have been implemented. Integrating socio-economic variables with hydro-climatic data has advanced vulnerability mapping, guiding adaptive strategies that include artificial recharge, demand reduction and governance reforms. Emerging methodologies leverage remote sensing and standardised indices to enhance monitoring, enabling more accurate forecasting of groundwater trends under future climate scenarios and informing sustainable water management at regional and basin scales.
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Trend Analysis of Groundwater Resources under Climate Variability publication trend
The graph below shows the total number of articles in trend analysis of groundwater resources under climate variability across all publications each year (not limited to Nature Index journals).
Technical terms
Aquifer: Subsurface geological formation that stores and transmits groundwater.
Mann–Kendall trend test: A non-parametric statistical method for detecting monotonic trends in time-series data.
Sen’s slope estimator: A non-parametric technique to quantify the magnitude of a trend in hydrological and climatic series.
Generalised additive model (GAM): A flexible regression framework allowing non-linear relationships between response and explanatory variables.
Standardised Precipitation Index (SPI): An indicator of meteorological drought based on standardised rainfall departures over a specified period.
References
- Spatio-temporal variation of depth to groundwater level and its driving factors in arid and semi-arid regions of India. Regional Sustainability (2024).
- Dynamic Changes in Groundwater Level under Climate Changes in the Gnangara Region, Western Australia. Water (2022).
- Impact of Climate Change on Groundwater Management in the Northwestern Part of Uzbekistan. Agronomy (2020).
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