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Long-Term Assessment of Climate Change Impacts on Tennessee Valley Authority Reservoir Operations: Norris Dam

机译:气候变化对田纳西河谷管理局水库运营的长期评估:诺里斯大坝

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摘要

Norris Reservoir is the oldest and largest reservoir maintained and operated by the Tennessee Valley Authority (TVA). Norris Dam received a new operating guide in 2004; however, this new guide did not consider projected climate change. In an aging infrastructure, the necessity to assess the potential impacts of climate change on water resources planning and management is increasing. This study used a combined monthly hydrologic model and a general circulation model’s (GCM) outcome to project inflows for three future time spans: 2030s, 2050s, and 2070s. The current operating guide was then assessed and optimized using penalty-function-driven genetic algorithms to gain insight for how the current guide will respond to climate change, and if it can be further optimized. The results showed that the current operating guide could sufficiently handle the increased projected runoff without major risk of dam failure or inundation, but the optimized operating guides decreased operational penalties ranging from 22 to 37 percent. These findings show that the framework used here provides water resources planning and management a methodology for assessing and optimizing current systems, and emphasizes the need to consider projected climate change as an assessment tool for reservoir operations.
机译:诺里斯水库是田纳西河谷管理局(TVA)维护和运营的最古老,最大的水库。 Norris Dam在2004年收到了新的操作指南;但是,该新指南未考虑预计的气候变化。在老化的基础设施中,评估气候变化对水资源规划和管理的潜在影响的必要性越来越高。这项研究使用组合的月度水文模型和一般环流模型(GCM)的结果来预测未来三个时间段的流入量:2030s,2050s和2070s。然后使用惩罚函数驱动的遗传算法对当前的操作指南进行评估和优化,以了解当前的指南将如何应对气候变化以及是否可以进一步优化。结果表明,当前的操作指南可以充分应对预计的径流增加,而不会造成大坝故障或淹没的重大风险,但是优化的操作指南将操作损失降低了22%至37%。这些发现表明,这里使用的框架为水资源规划和管理提供了一种评估和优化现有系统的方法,并强调了将预期的气候变化作为水库运行评估工具的必要性。

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