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Uncertainty of hydrologic simulation, and its impact on the design and the effectiveness of water conservation structures

机译:水文模拟的不确定性,及其对节水结构的影响及其有效性

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The uncertainties associated with the simulation models are often ignored in operational hydrology. While many methods are available for evaluation of simulation uncertainty, most of them focus on construction of prediction bands, which alone may not be sufficient to make effective decisions. This is a serious concern in watershed management planning, especially in cases where the models are uncalibrated due to unavailability of observations. This study addressed uncertainty in hydrologic modeling, and its consideration in check dam design decisions. Size of the check dams were determined using a simulation-optimization framework by considering dual objectives of maximizing water availability for agriculture and minimizing the adverse effects on downstream reaches. The optimizer suggested distinct Pareto-optimal-front for different parameter sets of the model (in turn resulting in different simulations), indicating the influence of parametric uncertainty on the design. An analysis of the optimal solutions suggested varying check dam sizes (0.5-1.5 m) for similar objective function value, which plausibly indicate an economic impact. Nonetheless, the effectiveness of the structure (in terms of simulated wet and dry period lengths) did not exhibit significant variability across the designs (average wet period length of 100 days). The median of the streamflow ensemble provided satisfactory performance ( 100 days wet period length and only 11-25% reduction of flow to downstream) and could be a viable choice for implementation. The results suggest that parametric uncertainty that is propagated to prediction uncertainty significantly influences the final design decisions and calls for careful assessment prior to implementation.
机译:与仿真模型相关的不确定性通常在操作水文中被忽略。虽然许多方法可用于评估模拟不确定性,但大多数都专注于施加预测频带的构建,它们单独的是可能不足以做出有效的决策。这是对流域管理计划的严重关注,特别是在由于观察不可用的模型未凝结的情况下。本研究解决了水文建模的不确定性,及其在校验坝设计决策中的考虑。通过考虑使用模拟优化框架来确定仿真优化框架,通过考虑最大化农业的水可用性并最大限度地减少对下游的不利影响来确定仿真优化框架。优化器建议模型的不同参数集的不同的Pareto-Optimal-Fray(依次导致不同的仿真),表明参数不确定度对设计的影响。对最佳解决方案的分析表明,不同的函数值不同的校验坝尺寸(0.5-1.5米),可怜地表明经济影响。尽管如此,结构的有效性(在模拟的湿和干周期长)在整个设计中没有表现出显着的变异性(平均潮湿周期长度> 100天)。 Streamflow Ensemble的中位数提供了令人满意的性能(> 100天湿时段长度,下游仅为11-25%),并且可以成为实施的可行选择。结果表明,传播到预测不确定性的参数不确定性显着影响最终的设计决策,并在实施之前进行仔细评估。

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