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Flood Estimation for SMART Control Operation Using Integrated Radar Rainfall Input with the HEC-HMS Model
Water Resources Management ( IF 4.3 ) Pub Date : 2020-07-06 , DOI: 10.1007/s11269-020-02595-4
Salwa Ramly , Wardah Tahir , Jazuri Abdullah , Janmaizatulriah Jani , Suzana Ramli , Arnis Asmat

Accurate estimates of intense rainfall that induce flash floods in urban areas are necessary for flood hazard preparedness. The city of Kuala Lumpur is frequently hit by flash floods after prolonged heavy storms, causing substantial damage to property and infrastructure, and disruptions to the socioeconomic activities of urbanites. The flood mitigation measures that have been implemented include the 2007 construction of the Stormwater Management and Road Tunnel (SMART), which diverts the flood water coming out of the Upper Klang Ampang catchment from entering the city prime areas. This study developed an integrated hydrological model of the catchment with input from radar rainfall to estimate the flood volume threshold value for SMART operation. The hydrologic and hydraulic modeling were performed using HEC-HMS with the HEC-GeoHMS tool to extract the hydrologic parameter information using GIS as input data for the catchment model. A radar processing system named RAINRATE AUTO V2 was developed to efficiently process raw radar data from the Subang radar and produce calibrated and gridded rainfall to the HEC-HMS flood estimation model for the Upper Klang Ampang urban catchment area. The results show promising performance regarding the use of radar rainfall, and there was an acceptable percent error in the peak discharge simulations. The advanced integrated system can be applied in managing flood risks at the catchment scale by efficiently estimating incoming flood events in the future.



中文翻译:

使用HEC-HMS模型的集成雷达降雨输入进行SMART控制操作的洪水估算

对于洪水灾害的防范,必须准确估计会引起城市山洪暴发的强降雨。长期暴风雨过后,吉隆坡市经常遭受山洪暴发,对财产和基础设施造成重大破坏,并破坏了城市居民的社会经济活动。已实施的防洪措施包括2007年的雨水管理和公路隧道(SMART)建设,该工程将来自巴生安邦上游流域的洪水引到市区主要地区。这项研究开发了一个集水区的综合水文模型,并利用雷达降雨的输入来估算SMART运行的洪水量阈值。使用HEC-HMS和HEC-GeoHMS工具进行水文和水力建模,以GIS作为流域模型的输入数据提取水文参数信息。开发了一种名为RAINRATE AUTO V2的雷达处理系统,以有效处理来自梳邦雷达的原始雷达数据,并为巴生安邦上游城市集水区的HEC-HMS洪水估算模型产生经过校准和网格化的降雨。结果表明,在使用雷达降雨方面表现出令人鼓舞的性能,并且在峰值流量模拟中存在可接受的百分比误差。先进的集成系统可以通过有效地估计未来的洪水事件而应用于流域规模的洪水风险管理。开发了一种名为RAINRATE AUTO V2的雷达处理系统,以有效处理来自梳邦雷达的原始雷达数据,并为巴生安邦上游城市集水区的HEC-HMS洪水估算模型产生经过校准和网格化的降雨。结果表明,在使用雷达降雨方面表现出令人鼓舞的性能,并且在峰值流量模拟中存在可接受的百分比误差。先进的集成系统可以通过有效地估计未来的洪水事件而应用于流域规模的洪水风险管理。开发了一种名为RAINRATE AUTO V2的雷达处理系统,以有效处理来自梳邦雷达的原始雷达数据,并为巴生安邦上游城市集水区的HEC-HMS洪水估算模型产生经过校准和网格化的降雨。结果表明,在使用雷达降雨方面表现出令人鼓舞的性能,并且在峰值流量模拟中存在可接受的百分比误差。先进的集成系统可通过有效地估计未来的洪水事件而应用于流域规模的洪水风险管理。结果表明,在使用雷达降雨方面表现出令人鼓舞的性能,并且在峰值流量模拟中存在可接受的百分比误差。先进的集成系统可以通过有效地估计未来的洪水事件而应用于流域规模的洪水风险管理。结果表明,在使用雷达降雨方面表现出令人鼓舞的性能,并且在峰值流量模拟中存在可接受的百分比误差。先进的集成系统可以通过有效地估计未来的洪水事件而应用于流域规模的洪水风险管理。

更新日期:2020-07-06
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