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Effects of Spatial-Temporal Imperviousness on Hydrological Responses of Various Areas in an Urbanized Watershed

机译:时空不透水对城市化流域各区域水文响应的影响

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This study examined changes in the division responses caused by imperviousness changes in time. Each response is represented by an instantaneous unit hydrograph with storage parameters. The critical work in this study was to ensure that the calibrated storage coefficients reasonably respond to their corresponding imperviousness. Estimating the spatially different mean rainfall of each division by adopting traditional methods (e.g., the Thiessen polygon method) may be difficult because of the lack of raingauge data in a division. The storages cannot be measured directly and were generally calibrated using an optimization method with parameter bounds. The upper bounds, which imply an ultimate of each corresponding physical property, are particularly difficult to determine directly. This study applied block Kriging and nonlinear programming to estimate spatiotemporal effective rainfall. An approach was proposed to determine suitable upper bounds for each storage parameter in a calibration. An examination of the calibrated storages at three stages revealed that the values resulting from a calibration with suitable bounds are more reliable compared with those based on a calibration without bound limitation. Finally, we concluded that (1) suitable bounds are essential for ensuring that significant calibrated storages can be applied to achieve a favorable regression resu (2) the analytic results indicate that large changes in imperviousness in downstream areas reduced the time to peak by at least 15 %, increasing the peak discharge by nearly 40 %; and (3) hydrograph characteristics of the watershed outlet reduced the time to peak by approximately 10 %, increasing the peak discharge by nearly 15 %.
机译:这项研究检查了由不渗透性的时间变化引起的分裂反应的变化。每个响应都由具有存储参数的瞬时单位水位图表示。这项研究的关键工作是确保校准后的储能系数合理地响应其相应的不渗透性。由于缺乏分区中的雨量数据,采用传统方法(例如,蒂森多边形方法)来估算每个分区的空间上不同的平均降雨量可能很困难。不能直接测量存储,并且通常使用带有参数界限的优化方法进行校准。上限意味着每个相应的物理属性的最终值,尤其难以直接确定。这项研究应用块Kriging和非线性规划来估算时空有效降雨。提出了一种确定校准中每个存储参数的合适上限的方法。在三个阶段对校准后的存储进行检查后发现,与基于无边界限制的基于校准的结果相比,由具有适当范围的校准得到的值更加可靠。最后,我们得出结论:(1)适当的界限对于确保可以应用大量的校准存储以实现良好的回归结果至关重要; (2)分析结果表明,下游地区不渗透性的大变化使达到峰值的时间缩短了至少15%,使峰值流量增加了近40%; (3)流域出口的水文特征减少了达到峰值的时间约10%,使峰值流量增加了近15%。

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