Condensing Water Availability Models to Focus on Specific Water Management Systems

Ralph A. Wurbs, Tae J. Kim

Abstract


The Texas Water Availability Modeling System is routinely applied in administration of the water rights permit system, regional and statewide planning, and an expanding variety of other endeavors. Modeling water management in the 23 river basins of the state reflects about 8,000 water right permits and 3,400 reservoirs. Datasets are necessarily large and complex to provide the decision-support capabilities for which the modeling system was developed. New modeling features are being added, and the different types of applications are growing. Certain applications are enhanced by simplifying the simulation input datasets to focus on particular water management systems. A methodology is presented for developing a condensed dataset for a selected reservoir system that reflects the impacts of all the water rights and accompanying reservoirs removed from the original complete dataset. A set of streamflows is developed that represents flows available to the selected system considering the effects of all the other water rights in the river basin contained in the original complete model input dataset that are not included in the condensed dataset. The methodology is applied to develop a condensed model of the Brazos River Authority reservoir system based on modifying the Texas Water Availability Modeling System dataset for the Brazos River Basin.

Keywords


reservoirs, rivers, water supply reliability

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Texas Water Journal

The Texas Water Journal is an online, peer-reviewed journal devoted to the timely consideration of Texas water resources management, research, and policy issues from a multidisciplinary perspective that integrates science, engineering, law, planning, and other disciplines. It also provides updates on key state legislation and policy changes by Texas administrative agencies. The journal is published by the Texas Water Journal, a nonprofit organization, in cooperation with the Texas Water Resources Institute, part of Texas A&M AgriLife.

ISSN 2160-5319
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