2007 Ground Water Summit

Monday, April 30, 2007 : 1:20 p.m.

A Nested Optimization Model for Water Availability and Supply

Venki Uddameri and Chandana Kakarlapudi, Texas A&M University-Kingsville

In many parts of the world, there currently exists a major disparity between areas that have adequate groundwater supplies and those with demands.  The supply centers tend to be rural while the demand centers are urban.  Movement of groundwater from rural to urban areas becomes necessary to meet regional water supply needs.  However, improper development of groundwater resources can have severe ecological and environmental impacts. Groundwater resource development should be carried out in such a manner that it does not affect the economic growth and the ecological integrity of the areas with surplus groundwater.  The development of one decision support methodology is the focus of this study.   

In the first part, GIS multi-criteria decision-making analysis is used to identify supply and demand areas.  Having identified the potential demand and supply areas, a simulation-optimization technique is applied to estimate the amount of groundwater available at each supply center.  The Groundwater Availability Model (GAM) developed by the Texas Water Development Board (TWDB) is used as the simulation model and the constraints on the optimization model include restrictions on drawdown at the well and in the vicinity, ensure sufficient freshwater inflows into surface water bodies including the coast and other policy considerations.  Using the estimated groundwater availability as the basis, a transportation-type optimization model is developed in the third step.  This optimization approach provides a basis for optimally allocating water from the supply centers to different demand areas.  Considerations for optimization include the distance and the gradient over which the water has to be moved.  The three-pronged methodology developed provides a basis for decision makers and regional planners to identify potential ways to meet water deficits without compromising on the ecological and environmental issues and as such promotes sustainable planning.  The developed methodology is illustrated using a case-study developed in South Texas.

Venki Uddameri, Texas A&M University-Kingsville Venkatesh Uddameri is Associate Professor in the Department of Environmental Engineering at Texas A&M University in Kingsville, Texas. His research interests lie in the use of mathematical models for water resource evaluations, risk assessment, remediation and applying artificial intelligence techniques for water resources management. He is currently a co-principal investigator and Assoc. Director (Research) for the Center for Research Excellence in Science and Technology, focusing on research on environmental sustainability in semi-arid coastal environments (CREST-RESSACA) funded by the National Science Foundation


The 2007 Ground Water Summit