One-Dimensional (1D) River Analysis of a River Basin in Southern Luzon Island in the Philippines Using Lidar Digital Elevation Model

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Flooding is a perennial problem in the Philippines during the monsoon season intensified by the effects of typhoon. On average, there are 20 typhoons that enter the Philippine Area of Responsibility (PAR), and many of these make landfall causing catastrophic aftermath. Extreme rainfall events could lead to flooding in the downstream floodplain and landslide in mountainous terrains. In this study, which is for the case of Calumpang River that drains to the populated and developing region of Batangas City, the focus is on flooding in the floodplain areas. The river was modelled using LiDAR digital elevation model (DEM) that has an accuracy of 20cm in the vertical and 50cm in the horizontal. The result of this is river hydraulic model that can be used to accurately generate flood inundation simulations and flood hazard maps.

     

     


  • Keywords


    watershed, hydrology, river hydraulics, flood map, LiDAR

  • References


      [1] National Oceanic and Atmospheric Administration (NOAA) (2012). Lidar 101: An Introduction to Lidar Technology, Data, and Applications. Coastal Services Center Coastal Geospatial Services Division.

      [2] A. Montane, T. Buffin-Belanger, F. Vinet, O. Vento (2017) Mapping Extreme Floods with Numerical Floodplain Models (NFM) in France. Applied Geography

      [3] US Army Corps of Engineers (USACE) (2000). HEC-HMS Hydrologic Modelling System, Hydrologic Engineering Center. Technical Reference Manual

      [4] UP TCAGP (2014) HMS Model Development Guidelines. Phil LiDAR 1 Program

      [5] US Army Corps of Engineers (USACE) (2010). HEC-RAS River Analysis System, Hydrologic Engineering Center. User’s Manual V4.1

      [6] UP TCAGP (2014) RAS Model Development Guidelines. Phil LiDAR 1 Program

      [7] Mapúa Phil-LiDAR 1 Project (2017) Calumpang River HEC-HMS and HEC-RAS Model Technical Report. Mapúa Institute of Technology, Manila, Philippines.

      [8] T.J. Fewtrell, A. Duncan, C.C. Sampsom, J.C. Neal, P.D. Bates (2011) Benchmarking Urban Flood Models of Varying Complexity and Scale Using High Resolution Terrestrial LiDAR Data. Physics and Chemistry oft eh Earth.

      [9] T.R. Abu-Aly, G.B. Pasternack, J.R. Wyrick, R. Baker, D. Massa, T. Johnson (2014) Effects of LiDAR-derived, Spatially Distributed Vegetation Roughness on Two-dimensional Hydraulics in a Gravel-cobble River at Flows of 0.2 to 20 times Bankfull.. Geomorphology.

      [10] M. Hanif Chaudhry (2008) Open Channel Flow. 2nd Ed. Springer.

      [11] V.T. Chow, D.R. Maidment, L.W. Mays (1988) Applied Hydrology. McGraw-Hill, Inc.

      [12] A.F. Gorospe, E.A. Barez, J.K. Coloso, J.C. Enzon, F.J. Tan (2017) Assessment of the Design Elevation of the Calumpang Bridge in Batangas, Philippines at Different Rainfall Return Periods & the Typhoon Rammasun Flood Event with the Introduction of LiDAR Data. Presented at the 2nd International Conference for Civil and Structural Engineers in Phuket Thailand. Submitted in Journal of Engineering and Applied Sciences.

      [13] P. Dimitriadis, A. Tegos, A. Oikonomou, V. Pagana, A. Koukouvinos, N. Mamassis, D. Koutsoyiannis, A. Efstradiadis (2016) Comparative Evaluation of 1D and Quasi-2d Hydraulic Models based on Benchmarks and Real-world Application for Uncertainty Assessment in Flood Mapping. Journal of Hydrology.


 

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Article ID: 16200
 
DOI: 10.14419/ijet.v7i3.7.16200




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