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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 4, issue 1
Nat. Hazards Earth Syst. Sci., 4, 103–116, 2004
https://doi.org/10.5194/nhess-4-103-2004
© Author(s) 2004. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

Special issue: Landslide and flood hazards assessment

Nat. Hazards Earth Syst. Sci., 4, 103–116, 2004
https://doi.org/10.5194/nhess-4-103-2004
© Author(s) 2004. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  09 Mar 2004

09 Mar 2004

Hazard assessment of debris flows for Leung King Estateof Hong Kong by incorporating GIS with numericalsimulations

K. T. Chau and K. H. Lo K. T. Chau and K. H. Lo
  • Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China

Abstract. As over seventy percent of the land of Hong Kong is mountainous, rainfall-induced debris flows are not uncommon in Hong Kong. The objective of this study is to incorporate numerical simulations of debris flows with GIS to identify potential debris flow hazard areas. To illustrate this approach, the proposed methodology is applied to Leung King Estate in Tuen Mun. A Digital Elevation Model (DEM) of the terrain and the potential debris-flow sources were generated by using GIS to provide the required terrain and flow source data for the numerical simulations. A theoretical model by Takahashi et al. (1992) improved by incorporating a new erosion initiation criterion was used for simulating the runout distances of debris flows. The well-documented 1990 Tsing Shan debris flow, which occurred not too far from Leung King Estate, was used to calibrate most of the flow parameters needed for computer simulations. Based on the simulation results, a potential hazard zone was identified and presented by using GIS. Our proposed hazard map was thus determined by flow dynamics and a deposition mechanism through computer simulations without using any so- called expert opinions, which are bounded to be subjective and biased.

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