Ocean tide modelling for urban flood risk assessment in the Mekong Delta

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Author(s)

    • Takagi Hiroshi
    • Graduate School of Science and Engineering, Tokyo Institute of Technology
    • Tsurudome Chiaki
    • Graduate School of Science and Engineering, Tokyo Institute of Technology
    • Thao Nguyen Danh
    • Faculty of Civil Engineering, Ho Chi Minh City University of Technology, Vietnam
    • Anh Le Tuan
    • Faculty of Civil Engineering, Ho Chi Minh City University of Technology, Vietnam
    • Ty Tran Van
    • College of Engineering Technology, Can Tho University, Vietnam

Abstract

This study develops a tide propagation model in order to forecast water levels and velocities at a given time and location for the largest city in the Mekong Delta, Can Tho City. The simulation model is applied to a complex waterway system that is characterised by a number of small canals and tributaries, which connect with the main stream. The model, which is verified by comparison with observed water levels during a typical dry season, enables examination of the mechanisms of tidal propagation, which have an impact on floods, inundation and saline water intrusion. The model analysis indicates that the difference in tidal amplitude between a connecting tributary and the main stream is small, whereas the flow velocity largely varies depending on the location. The flow velocity in the tributary, which exceeded 1 m/s, is almost three times that of the main river. This kind of local amplification in flow velocity is important when evaluating flood/inundation risks in urban areas of the Mekong Delta, as small ships are likely to encounter difficulties in handling or risk being overturned due to unexpectedly rapid flows that occur during these abnormal high tides or typhoon storm surges.

Journal

  • Hydrological Research Letters

    Hydrological Research Letters 10(1), 21-26, 2016

    Japan Society of Hydrology and Water Resources (JSHWR) / Japanese Association of Groundwater Hydrology (JAGH) / Japanese Association of Hydrological Sciences (JAHS) / Japanese Society of Physical Hydrology (JSPH)

Codes

  • NII Article ID (NAID)
    130005132963
  • Text Lang
    ENG
  • Article Type
    journal article
  • Data Source
    IR  J-STAGE 
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