Flood Estimation for SMART Control Operation Using Integrated Radar Rainfall Input with the HEC-HMS Model

Salwa Ramly, Wardah Tahir (), Jazuri Abdullah, Janmaizatulriah Jani, Suzana Ramli and Arnis Asmat
Additional contact information
Salwa Ramly: SMART Control Centre
Wardah Tahir: Universiti Teknologi MARA
Jazuri Abdullah: Universiti Teknologi MARA
Janmaizatulriah Jani: Universiti Teknologi MARA
Suzana Ramli: Universiti Teknologi MARA
Arnis Asmat: Universiti Teknologi MARA

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2020, vol. 34, issue 10, No 4, 3113-3127

Abstract: Abstract 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.

Keywords: HEC-HMS; HEC-GeoHMS; Flood estimation; Mean Bias correction; Radar rainfall; Quantitative precipitation estimates (QPE); SMART system (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11269-020-02595-4

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