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Exploring Jeddah Floods by Tropical Rainfall Measuring Mission Analysis

机译:通过热带降雨测量任务分析探索吉达洪水

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Estimating flash floods in arid regions is a challenge arising from the limited time preventing mitigation measures from being taken, which results in fatalities and property losses. Here, Tropical Rainfall Measuring Mission (TRMM) Multi Satellite Precipitation Analysis (TMPA) Real Time (RT) 3B2RT data are utilized in estimating floods that occurred over the city of Jeddah located in the western Kingdom of Saudi Arabia. During the 2000–2014 period, six floods that were effective on 19 days occurred in Jeddah. Three indices, constant threshold (CT), cumulative distribution functions (CDFs) and Jeddah flood index (JFI), were developed using 15-year 3-hourly 3B42RT. The CT calculated, as 10.37 mm/h, predicted flooding on 14 days, 6 of which coincided with actual flood-affected days (FADs). CDF thresholds varied between 87 and 93.74%, and JFI estimated 28 and 20 FADs where 8 and 7 matched with actual FADs, respectively. While CDF and JFI did not miss any flood event, CT missed the floods that occurred in the heavy rain months of January and December. The results are promising despite that only rainfall rates, i.e., one parameter out of various flood triggering mechanisms, i.e., soil moisture, topography and land use, are used. The simplicity of the method favors its use in TRMM follow-on missions such as the Global Precipitation Measurement Mission (GPM).
机译:由于时间有限,无法采取缓解措施,因此对干旱地区的山洪进行估算是一项挑战,这将导致死亡和财产损失。在这里,热带雨量测量任务(TRMM)多卫星降水分析(TMPA)实时(RT)3B2RT数据用于估算沙特阿拉伯西部王国吉达市上空发生的洪水。在2000-2014年期间,吉达发生了19天有效的六次洪水。使用15年3小时一次的3B42RT开发了三个指数,即恒定阈值(CT),累积分布函数(CDF)和吉达洪水指数(JFI)。 CT计算得出的14天的洪水预测为10.37 mm / h,其中6天与实际受洪水影响的天数(FADs)一致。 CDF阈值介于87%和93.74%之间,JFI估计有28个和20个FAD,其中8个和7个与实际FAD相匹配。尽管CDF和JFI没有错过任何洪水事件,但CT却错过了1月和12月的大雨月份发生的洪水。尽管仅使用降雨率,即各种洪水触发机制中的一个参数,即土壤湿度,地形和土地利用,但结果令人鼓舞。该方法的简单性有利于将其用于TRMM后续任务,例如全球降水测量任务(GPM)。

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