The Use of Historical Data and Global Climate Models to Assess Historical and Future Surface Water and Groundwater Availability in the Trinity River Basin in Texas
Cover photo:  Santa Elena Canyon, Big Bend National Park, Texas.  ©2022 Rob Doyle, Pluto911 Photography
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Keywords

water availability, surface water, groundwater, water budget, trends, Trinity River

How to Cite

Milmo, Molly, Jeremy McDowell, Monica Yesildirek, and Glenn Harwell. 2023. “The Use of Historical Data and Global Climate Models to Assess Historical and Future Surface Water and Groundwater Availability in the Trinity River Basin in Texas”. Texas Water Journal 14 (1). College Station, Texas:34-61. https://doi.org/10.21423/twj.v14i1.7146.

Abstract

This paper describes the results of a study that was done by the USGS to assess recent (2017) water availability, forecast long-term trends in water availability, assess changes in water availability, and forecast future water availability in the Trinity River Basin in Texas. The Trinity River Basin surface water model and Trinity River alluvium aquifer (TRAA) groundwater model were created to evaluate future conditions under different global climate models (GCM). The results of this study show minimal overall changes in water availability for both surface water and groundwater. Trend analyses using historical data (1900–2017) indicated an increase of annual precipitation on the watersheds that drain into the reservoirs in Regional Water Planning Group C. However, the Trinity River Basin surface water model GCM ensemble mean annual precipitation indicates a downward trend, resulting in a downward trend in surface runoff. Additionally, the GCM ensemble mean for the Trinity River Basin surface water model and the TRAA groundwater model both indicate a downward trend in recharge while the TRAA model GCM ensemble mean indicates an upward trend in the amount of groundwater leaving the aquifer to rivers and streams resulting in an upward trend of cumulative storage change.

https://doi.org/10.21423/twj.v14i1.7146
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Copyright (c) 2023 Molly Milmo, Jeremy McDowell, Monica Yesildirek, Glenn Harwell