Figure: Comparision of groundwater withdrawals from USGS and calibrated crop simulation model - AquaCropOS in Flint River Basin, GA, USA.

Studying the food-energy-water nexus at regional scale

The FEWS nexus refers to the interconnected processes of food, energy, water systems. The nexus framework has become the preferred framework for resource management policies in the recent decades. We are developing a regional integrated hydrology-economics model which considers: explicit interactions and feedbacks amongst nexus components, interactions among nexus components across scales, and provides actionable output to address policy uses.

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Figure: Colorado River Basin.

Quantifying impact of dams on streamflow characteristics

Dams meet various human needs such as hydropower generation, municipal water supply and flood control. However, dams alter the natural flow regime of rivers and adversely impact the river ecosystem. For example, dams hinder the  downstream ⇆ upstream movement of fish and trap the nutrient rich sediments. We examined how the human-induced flow alteration varies across the basin for the highly regulated Colorado River in the US. This methods developed will contribute to evaluate the operating policy of the reservoirs (dams) for a holistic management.

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Figure: The conceptual model of deficit irrigation showing the value of crop yield under deficit irrigation (yellow lines) varies between yield under rainfed (blue line) and full irrigation (orange line).

Understanding the food-energy-water nexus through hydroeconomic modeling 

Understanding the nexus between food, energy and water (FEW) systems is critical for basins with intensive agricultural water use as they face significant challenges under changing climate and regional development. We consider Flint River basin, GA, to understand the FEW nexus as agricultural water use accounts for a third of total water withdrawals. Potential changes in climate indicate drier summer months and increased competition between public utility and agricultural water use due to regional development. We investigate the nexus through a hydroeconomic modeling framework that considers groundwater pumping under various climate and deficit irrigation scenarios.

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Figure: Drought conditions using proposed NJDI in September 1965. D0 represents no drought and D4 represents extremely dry conditions.

Drought analysis under changing climate

Droughts occur due to insufficient availability of water and have become more frequent under the changing climate. It is imperative to study droughts as they have serious socioeconomic implications. Drought indices are used to quantify the severity of meteorological droughts. For example, the value of Standardized Precipitation Index (SPI) less than -2 denotes extreme drought. However, most existing indices do not account for changing climate. We examined how can we update the drought indices to incorporate non-stationary in the precipitation. The proposed drought index is developed by coupling the Joint Deficit Index with the extended Time Sliding Window based Nonstationary Modeling. The proposed index has two main advantages: (i) it detects the signature of non-stationarity in the distribution parameter rather than the original time series, and (ii) it captures both long-term (i.e., trend) and short-term (i.e., step-change).

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