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Continental Scale Heterogeneous Channel Flow Routing Strategy for Operational Forecasting Models

机译:用于操作预测模型的大陆级异构通道流量路由策略

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摘要

The benefits of operational forecasting models to the general public are numerous. They support water management decisions, provide the opportunity to mitigate the impacts of weather- and flood-related disasters and potentially save lives and properties. Channel flow routing is a key component of these models and affects their ability to forecast flood depth, duration, and extent. Continental scale channel flow routing within the operational forecasting environments encounters a broad spectrum of hydraulic characteristics. Deploying computationally demanding approaches, such as the dynamic wave, should be limited in time and space to conditions where the inertia terms are significant (typically in low-gradient environments and whenever backwater effects are prominent); otherwise, efficient and robust methods, e.g., Kinematic, Muskingum-Cunge or diffusive waves should be the default. The heterogeneous routing approach presented here provides a framework to evaluate the balance between friction, inertia, and pressure and strategically triggers the appropriate wave approximation. The strategy recommended here is to activate the appropriate wave approximation based on the ambient hydraulic conditions, and smoothly transitions among these approximations. This strategy, if successfully implemented, would strike a balance among the performance metrics of operational forecasting models, namely, computational efficiency, accuracy, and minimization of computational instabilities.
机译:运营预测模型对公众的好处是众多。它们支持水管理决策,提供减轻与洪水和洪水相关灾害的影响以及潜在地拯救生命和财产的机会。通道流路由是这些模型的关键组成部分,并影响其预测洪水深度,持续时间和程度的能力。操作预测环境中的大陆渠道流量路由遇到广泛的液压特性。部署计算上要求的方法,例如动态波,应限制在惯性术语显着的条件和空间中(通常在低梯度环境中以及反水效应突出时);否则,高效且鲁棒的方法,例如,运动,麝香伞和扩散波应该是默认值。这里提出的异构路由方法提供了一种评估摩擦,惯性和压力之间的平衡的框架,并策略性地触发适当的波近似。这里推荐的策略是基于环境液压条件激活适当的波近似,并在这些近似之间平稳地过渡。该策略(如果成功实施)将在运营预测模型的绩效指标中取得平衡,即计算效率,准确性和计算不稳定性的最小化。

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