Optimizing Water Supply through Reservoir Conversion and Storage of Return Flow- A Case Study at Joe Pool Lake
Cover photo: A view of the Milky Way over Phoinix Ranch in Jim Wells and Live Oak counties.  ©2022 Rey Garza and Jim Quisenberry
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Keywords

Trinity River Basin
Joe Pool Lake
Mixed integer linear Programming
Optimization
Cost Efficiency

How to Cite

Sekar, S., Daghighi, A. ., Chen, V., Clingenpeel, G., Zhang, Y. ., Rosenberger, J. M. ., & Boskabadi, A. . (2022). Optimizing Water Supply through Reservoir Conversion and Storage of Return Flow- A Case Study at Joe Pool Lake. Texas Water Journal, 13(1), 1–12. https://doi.org/10.21423/twj.v13i1.7124

Abstract

Maintaining an adequate water supply is one of the key challenges faced by the Dallas-Fort Worth Metroplex, where increasing population and rising water demand have elevated the vulnerability of the communities to water shortages. In this paper, we conducted a preliminary study exploring the possibility of converting flood storage in the Joe Pool Lake (JPL) as a means to improve water supply reliability and achieve better cost efficiency. This study employs a mixed integer linear programming (MILP) approach that considers the costs of meeting conversion demand and supply requirements over the northern portion of the Trinity River Basin. It includes trade-offs between capturing and storing natural flow versus return flow from the treatment facilities of the Trinity River Authority (TRA). A set of hypothetical prices and demand figures with the record drought of 1940-1996 considered to test the LP model. The optimal strategy yields expansion of JPL and associated storage-diversion on an annual basis. Also, the outcomes of the analyses suggest that, while the conversion would have a positive impact on water availability, storing the return flow might not produce sufficient cost savings; unless higher prices were imposed on the stored-return flow.

https://doi.org/10.21423/twj.v13i1.7124
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Copyright (c) 2022 Srividya Sekar, Amin Daghighi, Victoria Chen, Glenn Clingenpeel, Yu Zhang, Jay Michael Rosenberger, Azam Boskabadi