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在初步观测洪水准备情况的情况下,估算小型无测站流域洪水的相对严重程度:以韩国为例的案例研究。

Estimation of the relative severity of floods in small ungauged catchments for preliminary observations on flash flood preparedness: a case study in Korea.

机构信息

Department of Civil Engineering, Sunmoon University, 100 Kalsan-ri, Tangjeong-myeon, Asan-si, Chungnam-do 336-708, Korea.

出版信息

Int J Environ Res Public Health. 2012 Apr;9(4):1507-22. doi: 10.3390/ijerph9041507. Epub 2012 Apr 18.

Abstract

An increase in the occurrence of sudden local flooding of great volume and short duration has caused significant danger and loss of life and property in Korea as well as many other parts of the World. Since such floods usually accompanied by rapid runoff and debris flow rise quite quickly with little or no advance warning to prevent flood damage, this study presents a new flash flood indexing methodology to promptly provide preliminary observations regarding emergency preparedness and response to flash flood disasters in small ungauged catchments. Flood runoff hydrographs are generated from a rainfall-runoff model for the annual maximum rainfall series of long-term observed data in the two selected small ungauged catchments. The relative flood severity factors quantifying characteristics of flood runoff hydrographs are standardized by the highest recorded maximum value, and then averaged to obtain the flash flood index only for flash flood events in each study catchment. It is expected that the regression equations between the proposed flash flood index and rainfall characteristics can provide the basis database of the preliminary information for forecasting the local flood severity in order to facilitate flash flood preparedness in small ungauged catchments.

摘要

随着大量短历时突发局地洪水的发生频率不断增加,韩国乃至世界其他许多地区都面临着严重的生命财产安全威胁。由于此类洪水通常伴随着快速径流和泥石流的发生,洪峰水位上升迅速,几乎没有或完全没有预警来防止洪水灾害,因此本研究提出了一种新的山洪暴发指数方法,以便及时对小流域未测区山洪灾害的应急准备和响应提供初步观测。利用两个选定的小流域长期观测数据的年最大降雨系列,通过降雨-径流模型生成洪水径流过程线。通过将标准化最高记录最大值的方法对量化洪水径流过程线特征的相对洪水严重程度因子进行标准化,然后对每个研究流域的山洪事件进行平均,以获得山洪指数。预计所提出的山洪指数与降雨特征之间的回归方程可以为预测局部洪水严重程度提供基础数据库,以便为小流域未测区的山洪灾害做好准备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a63/3366626/defa2bccbf18/ijerph-09-01507-g001.jpg

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