A Distributed Physically-Based Modeling Approach to Flash Flood Forecasting in Semi-arid Regions

该项目将研究 分布式，基于物理的模型KINEROS作为 应用于半干旱流域， 用于预测山洪暴发。 在半- 干旱和干旱流域山洪暴发是 经常造成生命和财产损失， 和警告系统（FFWS）是一些 用于减轻这些影响的工具。 的 目前的FFWS不包括最近的进展， 水文气象资料方法 收集和分析， 警报系统可能。 本研究将 检查现有的质量总体径流数据 从150平方公里的半干旱地区 核桃沟实验流域 小尺度变化的影响 降雨，径流特征 在流域尺度上的过程及其 对山洪预报的影响。

The project will study the accuracy of the distributed, physically-based model KINEROS as applied to a semi-arid watershed and as used for the forecasting of flash floods. In semi- arid and arid watersheds flash floods are frequent producing loss of life and property, and warning systems (FFWS) are some of the tools used to mitigate these effects. The current FFWS do not include recent advances in the methods for hydro-meteorological data collection and analysis that makes real-time warning systems possible. This study will examine existing quality rainfall-runoff data from the 150 square kilometers, semi-arid Walnut Gulch Experimental Watershed, the effects of small scale variability of rainfall, the characteristics of the runoff processes at the watershed scale and its implications for flash flood forecasting.