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High-Resolution Hydrological-Hydraulic Modeling of Urban Floods Using InfoWorks ICM

Author

Listed:
  • Lariyah Mohd Sidek

    (Institute of Energy Infrastructure, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia)

  • Aminah Shakirah Jaafar

    (Institute of Energy Infrastructure, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia)

  • Wan Hazdy Azad Wan Abdul Majid

    (Water Resources Management and Hydrology Division, Department of Irrigation and Drainage, Kuala Lumpur 68000, Malaysia)

  • Hidayah Basri

    (Institute of Energy Infrastructure, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia)

  • Mohammad Marufuzzaman

    (Institute of Energy Infrastructure, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia)

  • Muzad Mohd Fared

    (Grid Maintenance Department, Tenaga Nasional Berhad, Kuala Lumpur 50470, Malaysia)

  • Wei Chek Moon

    (Institute of Energy Infrastructure, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia)

Abstract

Malaysia, being a tropical country located near the equatorial doldrums, experiences the annual occurrence of flood hazards due to monsoon rainfalls and urban development. In recent years, environmental policies in the country have shifted towards sustainable flood risk management. As part of the development of flood forecasting and warning systems, this study presented the urban flood simulation using InfoWorks ICM hydrological−hydraulic modeling of the Damansara catchment as a case study. The response of catchments to the rainfall was modeled using the Probability Distributed Moisture (PDM) model due to its capability for large catchments with long-term runoff prediction. The interferometric synthetic aperture radar (IFSAR) technique was used to obtain high-resolution digital terrain model (DTM) data. The calibrated and validated model was first applied to investigate the effectiveness of the existing regional ponds on flood mitigation. For a 100-year flood, the extent of flooded areas decreased from 12.41 km 2 to 3.61 km 2 as a result of 64-ha ponds in the catchment, which is equivalent to a 71% reduction. The flood hazard maps were then generated based on several average recurrence intervals (ARIs) and uniform rainfall depths, and the results showed that both parameters had significant influences on the magnitude of flooding in terms of flood depth and extent. These findings are important for understanding urban flood vulnerability and resilience, which could help in sustainable management planning to deal with urban flooding issues.

Suggested Citation

  • Lariyah Mohd Sidek & Aminah Shakirah Jaafar & Wan Hazdy Azad Wan Abdul Majid & Hidayah Basri & Mohammad Marufuzzaman & Muzad Mohd Fared & Wei Chek Moon, 2021. "High-Resolution Hydrological-Hydraulic Modeling of Urban Floods Using InfoWorks ICM," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10259-:d:635159
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    References listed on IDEAS

    as
    1. Joel Bernard ASIEDU, 2020. "Reviewing The Argument On Floods In Urban Areas: A Look At The Causes," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 15(1), pages 24-41, February.
    2. M. Y. Safiah Yusmah & L. J. Bracken & Z. Sahdan & H. Norhaslina & M. D. Melasutra & A. Ghaffarianhoseini & S. Sumiliana & A. S. Shereen Farisha, 2020. "Understanding urban flood vulnerability and resilience: a case study of Kuantan, Pahang, Malaysia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(2), pages 551-571, March.
    3. Michel Craninx & Koen Hilgersom & Jef Dams & Guido Vaes & Thomas Danckaert & Jan Bronders, 2021. "Flood4castRTF: A Real-Time Urban Flood Forecasting Model," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
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    Cited by:

    1. Luoyang Wang & Yao Li & Hao Hou & Yan Chen & Jinjin Fan & Pin Wang & Tangao Hu, 2022. "Analyzing spatial variance of urban waterlogging disaster at multiple scales based on a hydrological and hydrodynamic model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1915-1938, November.
    2. Huaibin Wei & Liyuan Zhang & Jing Liu, 2022. "Hydrodynamic Modelling and Flood Risk Analysis of Urban Catchments under Multiple Scenarios: A Case Study of Dongfeng Canal District, Zhengzhou," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    3. Jingtian Ma & Yang Liu & Jiaying Liu & Guosong Fei & Ziwu Fan, 2023. "Modeling and Pilot-Scale Experiment of Hydrodynamic Regulation to Improve the Water Quality of a Plain Urban River Network: A Case Study of Changzhou, China," Sustainability, MDPI, vol. 15(7), pages 1-18, March.

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