Studying the impact of statistical changes in climate on groundwater sustainability
Groundwater is one of the most essential natural resources affected by climate variability. However, our understanding of the effects of climate on groundwater recharge, particularly in dry regions, is limited. Current future climate projections do not suggest specific or general trends due to high uncertainties. In this research project, we utilize meteorological and hydrogeological historical records and apply statistical analyses to elucidate past temporal climate and hydrogeological patterns.
Investigating the contribution of model complexities to reduce the uncertainty of unsaturated water fluxes and solute transport estimations
Various models of different complexities, from simple mass balance to physical-based coupled hydrological modeling frameworks, can be utilized to estimate variables such as water fluxes or solute transport in the unsaturated zone. The choice of the ‘right’ model might be subjective, which may bring large uncertainties in predictions. In this ongoing work, we aim to establish a procedure that enables model selection by using quantitative methods.
Using electromagnetic induction techniques methods to investigate unsaturated water dynamics under semi-arid and arid environments
Environmental Geophysics allows us to monitor and analyze the physical and chemical properties in unsaturated zones using non-invasive high-resolution geophysical techniques. Our lab is currently engaged in several projects, including irrigation optimization, investigating the link between dust storms and soil moisture, and monitoring focused groundwater recharge in ephemeral streams of arid environments.