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Dynamic reservoir management with real-option risk hedging as a robust adaptation to nonstationary climate

机译:动态储层管理,具有实物期权风险对冲功能,可以很好地适应非平稳气候

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摘要

The implications of climate change and the potential nonstationarity of the hydrologic record necessitate innovative approaches to water management. This study presents a novel adaptation strategy for water reservoir management under nonstationary hydrologic conditions. Seasonal hydrologic forecasts and a real-option instrument allow reservoir operations that dynamically adapt to an evolving hydrologic record. System operating policies are conditioned on seasonal hydrologic forecasts to account for year-to-year variability and climate change and a real option is established to hedge against the risk associated with operational forecasts and unexpected climate outcomes. This scheme is implemented over an ensemble of climate futures based on general circulation model (GCM) simulations. Two alternative management strategies are considered, one in which system operations are optimized for the GCM-based ensemble mean projection of the future and a baseline strategy in which assumptions of stationarity are maintained and operations are left unchanged from historic norms. The approach is evaluated for a water supply-hydropower facility on the Westfield River in the northeast United States. Results suggest that seasonal hydrologic forecasts are a promising adaptation to nonstationary hydrology, even without the support of a risk hedging option. Surprisingly, the option approach enabled even a stationary assumption to perform well in the future, suggesting that option instruments alone can act as a robust adaptation mechanism.
机译:气候变化的影响和水文记录的潜在不平稳性需要采取创新的水管理方法。这项研究提出了一种在非平稳水文条件下水库管理的新适应策略。季节性的水文预报和实物选择工具可使水库的运行动态适应不断变化的水文记录。系统运行政策以季节性水文预报为条件,以说明逐年的变化和气候变化,并建立了一个真实的选择来对冲与运行预报和意外气候结果相关的风险。该方案是基于通用循环模型(GCM)模拟在整个气候期货上实施的。考虑了两种可选的管理策略,一种是针对基于GCM的整体平均预测对系统操作进行了优化,另一种是维持平稳性假设且操作与历史准则保持不变的基线策略。对美国东北部韦斯特菲尔德河上的供水-水电设施进行了评估。结果表明,即使没有风险对冲方案的支持,季节性水文预报也有望适应非平稳水文。出人意料的是,期权方法甚至使固定的假设也能在将来表现良好,这表明期权工具本身就可以充当强大的适应机制。

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  • 来源
    《Water resources research》 |2012年第5期|p.W05524.1-W05524.16|共16页
  • 作者单位

    Department of Civil and Environmental Engineering, University of Massachusetts Amherst, 130 Natural Resources Rd., Amherst, MA 01002, USA;

    Department of Civil and Environmental Engineering, University of Massachusetts Amherst, 130 Natural Resources Rd., Amherst, MA 01002, USA;

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