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Evaluation of sub daily satellite rainfall estimates through flash flood modelling in the Lower Middle Zambezi Basin

机译:通过赞比西河中下游盆地山洪暴发模拟评估亚日卫星降雨量

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Flash floods are experienced almost annually in the ungauged Mbire District of the Middle Zambezi Basin. Studies related to hydrological modelling (rainfall-runoff) and flood forecasting require major inputs such as precipitation which, due to shortage of observed data, are increasingly using indirect methods for estimating precipitation. This study therefore evaluated performance of CMORPH and TRMM satellite rainfall estimates (SREs) for 30?min, 1?h, 3?h and daily intensities through hydrologic and flash flood modelling in the Lower Middle Zambezi Basin for the period 2013–2016. On a daily timestep, uncorrected CMORPH and TRMM show Probability of Detection (POD) of 61 and 59?%, respectively, when compared to rain gauge observations. The best performance using Correlation Coefficient (CC) was 70 and 60?% on daily timesteps for CMORPH and TRMM, respectively. The best RMSE for CMORPH was 0.81?% for 30?min timestep and for TRMM was 2, 11?% on 3?h timestep. For the year 2014 to 2015, the HEC-HMS (Hydrological Engineering Centre-Hydrological Modelling System) daily model calibration Nash Sutcliffe efficiency (NSE) for Musengezi sub catchment was 59?% whilst for Angwa it was 55?%. Angwa sub-catchment daily NSE results for the period 2015–2016 was 61?%. HEC-RAS flash flood modeling at 100, 50 and 25?year return periods for Angwa sub catchment, inundated 811 and 867?ha for TRMM rainfall simulated discharge at 3?h and daily timesteps, respectively. For CMORPH generated rainfall, the inundation was 818, 876, 890 and 891?ha at daily, 3?h, 1?h and 30?min timesteps. The 30?min time step for CMORPH effectively captures flash floods with the measure of agreement between simulated flood extent and ground control points of 69?%. For TRMM, the 3?h timestep effectively captures flash floods with coefficient of 67?%. The study therefore concludes that satellite products are most effective in capturing localized hydrological processes such as flash floods for sub-daily rainfall, because of improved spatial and temporal resolution.
机译:赞比西河中部未受保护的Mbire区几乎每年都会发生山洪暴发。与水文模型(降雨径流)和洪水预报有关的研究需要大量投入,例如降水,由于缺乏观测数据,越来越多地使用间接方法估算降水。因此,本研究通过赞比西河中下游地区2013-2016年期间的水文和山洪暴发模型,评估了30分钟,1小时,3小时和每日强度的CMORPH和TRMM卫星降雨量估计(SRE)的性能。与雨量计观测值相比,在每天的时间步长上,未经校正的CMORPH和TRMM的检测概率(POD)分别为61%和59%。使用CMORPH和TRMM的每日时间步长,使用相关系数(CC)的最佳性能分别为70%和60%。对于30分钟的时间步长,CMORPH的最佳RMSE为0.81%,而对于3分钟的时间步长,TRMM的最佳RMSE为2、11%。 2014年至2015年,Musengezi子流域的HEC-HMS(水力工程中心-水力建模系统)日模型校准纳什·苏特克利夫效率(NSE)为59%,而安格瓦则为55%。 2015-2016年期间,Angwa子汇水区每日NSE结果为61%。 Angwa子汇水区分别在100、50和25?年的HEC-RAS暴洪模型,在3?h和每天的时间步长,TRMM降雨模拟排放分别淹没811和867?ha。对于CMORPH产生的降雨,每天,3?h,1?h和30?min的时间步长分别为818、876、890和891?ha。 CMORPH的30分钟时间步长有效捕获了山洪,模拟洪灾程度与地面控制点之间的一致性为69%。对于TRMM,3?h时间步长有效捕获了6​​7 %%的山洪。因此,研究得出结论,由于提高了空间和时间分辨率,卫星产品在捕获局部水文过程(如山洪暴发)方面最有效。

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