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

Author

Listed:
  • Salwa Ramly

    (SMART Control Centre)

  • Wardah Tahir

    (Universiti Teknologi MARA
    University of Birmingham)

  • Jazuri Abdullah

    (Universiti Teknologi MARA)

  • Janmaizatulriah Jani

    (Universiti Teknologi MARA)

  • Suzana Ramli

    (Universiti Teknologi MARA)

  • Arnis Asmat

    (Universiti Teknologi MARA)

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.

Suggested Citation

  • Salwa Ramly & Wardah Tahir & Jazuri Abdullah & Janmaizatulriah Jani & Suzana Ramli & Arnis Asmat, 2020. "Flood Estimation for SMART Control Operation Using Integrated Radar Rainfall Input with the HEC-HMS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3113-3127, August.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:10:d:10.1007_s11269-020-02595-4
    DOI: 10.1007/s11269-020-02595-4
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    References listed on IDEAS

    as
    1. Wenlin Yuan & Meiqi Liu & Fang Wan, 2019. "Calculation of Critical Rainfall for Small-Watershed Flash Floods Based on the HEC-HMS Hydrological Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2555-2575, May.
    2. Alireza B. Dariane & M. M. Javadianzadeh & L. Douglas James, 2016. "Developing an Efficient Auto-Calibration Algorithm for HEC-HMS Program," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1923-1937, April.
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    Cited by:

    1. Wen-Cheng Liu & Tien-Hsiang Hsieh & Hong-Ming Liu, 2021. "Flood Risk Assessment in Urban Areas of Southern Taiwan," Sustainability, MDPI, vol. 13(6), pages 1-22, March.

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