2 Dimensional Hydrodynamic Flood Routing Analysis on Flood Forecasting Modelling for Kelantan River Basin

被引:5
|
作者
Azad, Wan Hazdy [1 ,2 ]
Sidek, Lariyah Mohd [1 ]
Basri, Hidayah [1 ]
Fai, Chow Ming [1 ]
Saidin, Suhani [1 ]
Hassan, Abd Jalil [3 ]
机构
[1] Univ Tenaga Nas, Ctr Energy Infrastruct, Ctr Sustainable Technol & Environm, Jalan IKRAM UNTEN, Kajang 43000, Selangor, Malaysia
[2] Dept Irrigat & Drainage, KM7 Jalan Ampang, Kuala Lumpur 68000, Malaysia
[3] River Net Consulting Sdn Bhd, Seksyen 32, Shah Alam 40460, Selangor, Malaysia
关键词
D O I
10.1051/matecconf/20178701016
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Flood disaster occurs quite frequently in Malaysia and has been categorized as the most threatening natural disaster compared to landslides, hurricanes, tsunami, haze and others. A study by Department of Irrigation and Drainage (DID) show that 9% of land areas in Malaysia are prone to flood which may affect approximately 4.9 million of the population. 2 Dimensional floods routing modelling demonstrate is turning out to be broadly utilized for flood plain display and is an extremely viable device for evaluating flood. Flood propagations can be better understood by simulating the flow and water level by using hydrodynamic modelling. The hydrodynamic flood routing can be recognized by the spatial complexity of the schematization such as 1D model and 2D model. It was found that most of available hydrological models for flood forecasting are more focus on short duration as compared to long duration hydrological model using the Probabilistic Distribution Moisture Model (PDM). The aim of this paper is to discuss preliminary findings on development of flood forecasting model using Probabilistic Distribution Moisture Model (PDM) for Kelantan river basin. Among the findings discuss in this paper includes preliminary calibrated PDM model, which performed reasonably for the Dec 2014, but underestimated the peak flows. Apart from that, this paper also discusses findings on Soil Moisture Deficit (SMD) and flood plain analysis. Flood forecasting is the complex process that begins with an understanding of the geographical makeup of the catchment and knowledge of the preferential regions of heavy rainfall and flood behaviour for the area of responsibility. Therefore, to decreases the uncertainty in the model output, so it is important to increase the complexity of the model.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] Modelling of flood flows in Rufiji River basin, Tanzania
    Mkhandi, SH
    Kachroo, R
    Mtalo, F
    [J]. FRIEND 2002-REGIONAL HYDROLOGY: BRIDGING THE GAP BETWEEN RESEARCH AND PRACTICE, 2002, (274): : 117 - 122
  • [32] Modelling of flood flows in Rufiji River basin, Tanzania
    Mkhandi, Simon H.
    Kachroo, Raj
    Mtalo, Felix
    [J]. IAHS-AISH Publication, 2002, (274): : 117 - 122
  • [33] River flood hydraulics: validation issues in one-dimensional flood routing models
    Knight, DW
    [J]. River Basin Modelling for Flood Risk Mitigation, 2006, : 335 - 385
  • [34] Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management
    Ali, Sikandar
    Cheema, Muhammad Jehanzeb Masud
    Waqas, Muhammad Mohsin
    Waseem, Muhammad
    Leta, Megersa Kebede
    Qamar, Muhammad Uzair
    Awan, Usman Khalid
    Bilal, Muhammad
    Rahman, Muhammad Habib ur
    [J]. REMOTE SENSING, 2021, 13 (19)
  • [35] Improvement research of flood routing model in Aksu River basin
    Wang Qin
    Liu Yong
    Zhang Xiangpin
    Ba Yaquan
    [J]. 2019 INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL ENGINEERING, ENERGY RESOURCES AND ENVIRONMENT ENGINEERING, 2019, 330
  • [36] A Comprehensive Flood Risk Inundation Mapping and Hybrid Model for Flood Forecasting in the Panam River Basin
    Patel, Monal
    Parekh, Falguni
    [J]. CONTEMPORARY MATHEMATICS, 2024, 5 (02): : 1522 - 1538
  • [37] Uncertainty Analysis of Flood Forecasting in River Channel
    Hao Qun
    Sun Yingna
    Jiang Ning
    [J]. ADVANCES IN CHEMICAL ENGINEERING II, PTS 1-4, 2012, 550-553 : 2489 - 2492
  • [38] Flood forecasting and early warning system for Dungun River Basin
    Hafiz, I.
    Nor, M. D.
    Sidek, L. M.
    Basri, H.
    Fukami, K.
    Hanapi, M. N.
    Livia, L.
    [J]. 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT 2013 (ICEE 2013), 2013, 16
  • [39] Trivariate distribution modelling of flood characteristics using copula function-A case study for Kelantan River basin in Malaysia
    Latif, Shahid
    Mustafa, Firuza
    [J]. AIMS GEOSCIENCES, 2020, 6 (01): : 92 - 130
  • [40] FLOOD ROUTING IN JAMES RIVER
    CONTRACT.DN
    WIGGERT, JM
    [J]. TRANSACTIONS-AMERICAN GEOPHYSICAL UNION, 1971, 52 (04): : 200 - &