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Hydro-Economic Approach for Quantifying Well Performance Thresholds and Recoverable Groundwater Yields in Texas 德克萨斯州量化水井性能阈值和可回收地下水产量的水文经济学方法
Pub Date : 2024-02-27 DOI: 10.21423/twj.v15i1.7160
Justin C. Thompson, Michael H. Young
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.
随着时间的推移,地下水超采可能会增加测势面深度或水深,从而降低可用于支持水井运行的测势水头,增加抽水成本。这些水文经济影响会产生水井故障阈值。了解这些影响和阈值是地下水管理的一个关键问题,但评估这些影响和阈值的工具并不普遍或成熟。因此,本研究开发了一个分析模型,量化水井性能随水深的变化,计算水井失效阈值,并估算不同用途、水井和含水层的可行储水量。该模型的开发和测试使用了单井和美国得克萨斯州 Carrizo-Wilcox 含水层的区域分析,该地区有当代地下水数据集,管理以水深为基础。研究结果揭示了储水条件是如何驱动水井性能的,并表明浅层和非封闭环境下的性能可能更多地受到运行阈值而非承受能力阈值的限制,而深层和封闭环境下的性能可能受到相反的限制。在单井的测试参数下,如果不考虑缩减因素,则操作上可行的产量将高估 98% - 108%,经济上可行的产量将高估 24%。该模型可直接支持管理者、利益相关者和决策者对未来理想条件的考虑。
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Texas Water Journal
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