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Distributed rainfall-runoff modeling of thunderstorm-generated floods : a case study in a mid-sized, semi-arid watershed in Arizona

机译:雷暴引发洪水的分布式降雨-径流模拟:以亚利桑那州中型半干旱流域为例

摘要

Flash floods caused by localized thunderstorms are a natural hazard of the semi-arid Southwest, and many communities have responded by installing ALERT flood forecasting systems. This study explored a rainfall-runoff modeling approach thought to be appropriate for forecasting in such watersheds. The kinematic model KINEROS was evaluated because it is a distributed model developed specifically for desert regions, and can be applied to basins without historic data. This study examined the accuracy of KINEROS under data constraints that are typical of semi-arid ALERT watersheds. The model was validated at the 150 km², semi-arid Walnut Gulch experimental watershed. Under the conditions examined, KINEROS provided poor simulations of runoff volume and peak flow, but good simulations of time to peak. For peak flows, the standard error of estimate was nearly 100% of the observed mean. Surprisingly, when model parameters were based only on measurable watershed properties, simulated peak flows were as accurate as when parameters were calibrated on some historic data. The accuracy of KINEROS was compared to that of the SCS model. When calibrated, a distributed SCS model with a simple channel loss component was as accurate as KINEROS. Reasons for poor simulations were investigated by examining a) rainfall sampling errors, b) model sensitivity and dynamics, and c) trends in simulation accuracy. The cause of poor simulations was divided between rainfall sampling errors and other problems. It was found that when raingage densities are on the order of 1/20 km², rainfall sampling errors preclude the consistent and reliable simulation of runoff from localized thunderstorms. Even when rainfall errors were minimized, accuracy of simulations were still poor. Good results, however, have been obtained with KINEROS on small watersheds; the problem is not KINEROS itself but its application at larger scales. The study also examined the hydrology of thunderstorm-generated floods at Walnut Gulch. The space-time dynamics of rainfall and runoff were characterized and found to be of fundamental importance. Hillslope infiltration was found to exert a dominant control on runoff, although flow hydraulics, channel losses, and initial soil moisture are also important. Watershed response was found to be nonlinear.
机译:由局部雷暴引起的山洪是西南半干旱的自然灾害,许多社区已通过安装ALERT洪水预报系统做出响应。这项研究探索了一种降雨径流建模方法,该方法被认为适合于此类流域的预报。对运动学模型KINEROS进行了评估,因为它是专门为沙漠地区开发的分布式模型,可用于没有历史数据的盆地。这项研究检查了在半干旱ALERT流域的典型数据约束下KINEROS的准确性。该模型在150平方公里的半干旱核桃峡谷实验分水岭上得到了验证。在检查的条件下,KINEROS对径流量和峰值流量的模拟效果较差,但对峰值时间的模拟效果却不错。对于峰值流量,估计的标准误差接近观察到的平均值的100%。令人惊讶的是,当模型参数仅基于可测量的分水岭特性时,模拟的峰值流量与在某些历史数据上对参数进行校准时一样准确。将KINEROS的准确性与SCS模型的准确性进行了比较。校准后,具有简单信道损耗成分的分布式SCS模型与KINEROS一样准确。通过检查a)降雨采样误差,b)模型的敏感性和动力学以及c)模拟精度的趋势,研究了模拟效果不佳的原因。模拟效果不佳的原因分为降雨采样误差和其他问题。结果发现,当集雨密度为1/20km²左右时,降雨采样误差排除了局部雷暴降雨径流的一致可靠的模拟。即使将降雨误差降到最低,模拟的准确性仍然很差。然而,在小流域上使用KINEROS取得了良好的效果。问题不是KINEROS本身,而是其在更大范围内的应用。该研究还检查了核桃谷雷暴引发的洪水的水文状况。对降雨和径流的时空动态进行了表征,发现具有根本重要性。尽管流量水力,河道损失和初始土壤水分也很重要,但发现坡地入渗对径流起主要控制作用。发现分水岭响应是非线性的。

著录项

  • 作者

    Michaud Jene Diane.;

  • 作者单位
  • 年度 1992
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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