A Hydro-Economic Approach for Quantifying Well Performance Thresholds and Recoverable Groundwater Yields in Texas
Cover photo: The Narrows on the Blanco River. ©2020 Erich Ross Schlegel, Texas Water Foundation.


well performance
well optimization
pumping costs

How to Cite

Thompson, Justin C., and Michael Young. 2024. “A Hydro-Economic Approach for Quantifying Well Performance Thresholds and Recoverable Groundwater Yields in Texas”. Texas Water Journal 15 (1). College Station, Texas:1-33. https://doi.org/10.21423/twj.v15i1.7160.


Groundwater overdraft may increase the depth of the potentiometric surface, or depth-to-water, over time; reducing potentiometric head available to support well operation and increasing the cost of pumping. These hydro-economic impacts create well failure thresholds. Understanding these impacts and thresholds is a critical issue for groundwater management but tools to assess them are not widely available or established. Therefore, an analytical model developed in this study quantifies changes in well performance with depth-to-water, calculates well failure thresholds, and estimates feasible storage yields for variable uses, wells, and aquifers. The model is developed and tested using both a single well and a regional analysis of the Carrizo-Wilcox Aquifer in Texas, U.S.A., where a contemporary groundwater dataset is available and management is depth-to-water-based. Results reveal how storage conditions drive well performance and suggest that performance in shallow and unconfined settings may be more limited by operational thresholds than affordability thresholds, while performance in deep and confined settings may be inversely limited. At the tested parameters for a single well, failure to account for drawdown would overestimate operationally feasible yields by 98% – 108% and economically feasible yields by 24%. The model could directly support manager, stakeholder, and policymaker consideration of desired future conditions.



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Copyright (c) 2024 Justin C. Thompson, Dr. Michael H. Young