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Assessing flood inundation mapping through estimated discharge using GIS and HEC-RAS model

  • Ernieza Suhana MokhtarEmail author
  • Biswajeet PradhanEmail author
  • Abd Halim Ghazali
  • Helmi Zulhaidi Mohd Shafri
GCEC 2017
  • 298 Downloads
Part of the following topical collections:
  1. Global Sustainability through Geosciences and Civil Engineering

Abstract

Water discharge is the main parameter in hydraulic modeling for flood hazard assessment. However, the unavailability of data on discharge and observed river morphologies resulted in erroneous calculations and irregularities in flood inundation mapping. The objectives of this study are (i) to investigate uncertainties of hydraulic parameters (width, cross-sectional depth, and channel slope) used in discharge equation and (ii) to examine the influence of estimate discharge on water extent and flood depth with different boundary conditions on interferometric synthetic aperture radar (IFSAR) and modified IFSAR DEMs. Sensitivity analysis was conducted with the Monte Carlo simulation method to generate random data combinations. Bjerklie’s equation was used to calculate discharge based on the three variables, and Manning’s n was substituted into the Hydrologic Engineering Center River Analysis System (HEC-RAS) model. TerraSAR-X was used to distinguish existing flood water bodies and normal water extent. The uncertainty of the combined variables was assessed with the likelihood measures such as F-statistic, mean absolute error, root mean square error, and Nash–Sutcliffe efficiency which compares observed and predicted inundated area as well as flood water depth simulated using the HEC-RAS model.

Keywords

Flood mapping GIS Remote sensing HEC-RAS model 

Notes

Acknowledgements

This study was supported by the Universiti Teknologi MARA Perlis, Ministry of Higher Education Malaysia, and Universiti Putra Malaysia. The authors wish to acknowledge the Malaysia Remote Sensing Agency, the Federal Department of Town and Country Planning Malaysia, the Department of Irrigation and Drainage and the Water Resources Engineering and Management Research Center, Universiti Teknologi MARA, Penang, Malaysia for providing satellite images, land use map, and hydraulic data and Qliner for analysis implementation.

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Copyright information

© Saudi Society for Geosciences 2018

Authors and Affiliations

  1. 1.Department of Civil Engineering, Faculty of Engineering, Geospatial Information Science Research Centre (GISRC)University Putra MalaysiaSerdangMalaysia
  2. 2.Department of Surveying Science & Geomatics, Faculty of Architecture, Planning and SurveyingUniversiti Teknologi MARA PerlisArauMalaysia
  3. 3.Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyAustralia

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