JDR Vol.10 No.3 pp. 513-526
doi: 10.20965/jdr.2015.p0513


Applying Risk Analysis to the Disaster Impact of Extreme Typhoon Events Under Climate Change

Hsin-Chi Li*, Shiao-Ping Wei*, †, Chao-Tzuen Cheng*, Jun-Jih Liou*, Yung-Ming Chen*, and Keh-Chia Yeh**

*1National Science and Technology Center for Disaster Reduction (NCDR)
9F., No.200, Sec.3, Beixin Rd., Xindian District, New Taipei City 231, Taiwan

**Department of Civil Engineering, National Chiao Tung University, Hsinchu, Taiwan

Corresponding author

March 26, 2014
March 18, 2015
June 1, 2015
extreme typhoon events, disaster impacts, risk analysis, SOBEK, Taiwan Typhoon Loss Assessment System (TLAS)

Extreme typhoon precipitation events frequently have a socioeconomic impact and result in the loss of human life. Therefore, conducting thorough evaluations of the disaster scale before the occurrence of extreme typhoon precipitation events is beneficial to disaster reduction. This study selects the Tsengwen River basin, Taiwan, the area most severely impacted by typhoon Morakot, as a demonstration area, and adopts dynamical downscaling data to simulate the top ten extreme typhoon precipitation events of the future (from 2069 to 2099) under climate change. The SOBEK model (commercial software) and the Taiwan Typhoon Loss Assessment System (TLAS), established by the National Science and Technology Center of Disaster Reduction (NCDR), are used to evaluate the potential losses resulting from the ten extreme events. The results indicate that the average total loss caused by the ten simulated typhoon events amounts to US$439 million, with agriculture, followed by aquaculture and forestry, suffering the greatest damage. A correlation analysis is also employed to identify key factors that influence loss, including the maximum 6-hour cumulative precipitation, the maximum peak runoff, and the use of the land. Based on these analysis results, this study provides applicable coping strategies that will effectively reduce the impact of future extreme precipitation events in the Tsengwen River basin.

Cite this article as:
H. Li, S. Wei, C. Cheng, J. Liou, Y. Chen, and K. Yeh, “Applying Risk Analysis to the Disaster Impact of Extreme Typhoon Events Under Climate Change,” J. Disaster Res., Vol.10, No.3, pp. 513-526, 2015.
Data files:
  1. [1]  Taiwan Climate Change Projection and Information Platform (TCCIP) Project Report, Vol.2, NSC 98-2625-M-492-011, 2010.
  2. [2]  W. S. Li, K. C. Yeh, C. C. Lin, C. L. Hsieh, C. C. Wen, Y. L. Yeh, L. S. Shie, L. G. Chen, S. J. Li, and Y. W. Wang, “Exploration and analysis regarding the aftermath of typhoon Morakot research project report,” National Science Council, NSC 98-2625-M-492-010, 2010.
  3. [3]  M. W. Shih, “Simulation study on applying 2D inundation model for three drainage systems in Chang-Hua County,” Unpublished Master’s Thesis, Department of Soil and Water Conservation, National Chung Hsing University, 2006.
  4. [4]  T. G. Ko, C. T. Yeh, C. H. Wu, and Y. M. Wang, “Identifying potential floods in low-lying urban areas and operating flood detention ponds,” University of Science and Technology Beijing-National Pingtung University of Science and Technology Conf. Vol.28, No.S2, pp. 148-151, 2006.
  5. [5]  L. F. Chang and M. T. Su, “The application of spatial data for damage estimations of floods,” Journal of Chinese Agricultural Engineering Vol.47, No.1, pp. 20-28, 2011.
  6. [6]  M. H. Hsu, “North embankment flooding and a flood forecast model for the Ba-Zhang river basin (2),” Research Program Report, National Science Council, 1996.
  7. [7]  C. Y. Tang, P. C. Hsieh, and L. L. Lin, “The application of FLO-2D and HEC-GeoRAS for simulating the flooding in Na-Hu creek caused by typhoon Mindulle,” Journal of Soil and Water Conservation, Vol.39, No.1, pp. 87-96, 2007.
  8. [8]  C. Y. Tang, P. C. Hsieh, and L. L. Lin, “The Application of FLO-2D and HEC-GeoRAS for simulating the flooding in Na-Hu Creek caused by typhoon Mindulle,” Journal of Soil and Water Conservation Vol.40, No.4, pp. 455-467, 2007.
  9. [9]  S. L. Chan, S. L. Huang, and S. H. Wang, “On the risk zoning of flood hazards in Taipei areas,” City and Planning, Vol.30, No.4, pp. 263-280, 2003.
  10. [10]  C. T. Tsai, P. S. Yu, N. F. Chou, and T. Y. Shr, “Applying geographical information systems in flood warnings (1, 2, 3, 4),” Research Project Report, Water Resources Agency, Taiwan, 1993-1996.
  11. [11]  C. L. Yen, Y. P. Tsai, L. C. Chen, M. S. Hsu, M. L. Lin, and C. H. Lo, “National disaster prevention technology program – Plan Report,” 1997.
  12. [12]  L. Fita, J. Ferna’ndez, and M. Garci’a-Di’ez, “CLWRF: WRF modifications for regional climate simulation under future scenarios,” Preprints, 11th WRF Users’ Event, Vol.26, 2010.
  13. [13]  N. S. Grigg and O. J. Helweg, “State-of-the-art of estimating flood damage in urban areas,” Water Resources Bulletin, Vol.11, No.2, pp. 379-390, 1975.
  14. [14]  IPCC, “Climate Change 2007: Synthesis Report,” Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, 2007.
  15. [15]  J. R. Ni, H. W. Zhang, A. Xue, S. Wieprecht, A.G.L., and Borthwick, “Modeling of hyper-concentrated sediment-laden floods in Lower Yellow River,” Journal of Hydraulic Engineering, ASCE, Vol.130, No.10, pp. 1025-1032, 2004.
  16. [16]  K. F. Liu, H. C. Li, and Y. C. Hsu, “Debris flow hazard assessment with numerical simulation,” Natural Hazards, Vol.49, No.1, pp. 137-161, 2009.
  17. [17]  H. C. Li, “A household loss model for Debris flow,” Journal of Social and Regional Development, Vol.2, No.2, pp. 29-52, 2010.
  18. [18]  H. C. Li, Y. L. Kuo, D. Shaw, and T. H. Huang, “The Household Benefits Assessment of the flood reduction plan in a flood-prone Area: A Case Study of Sinwen, Chiayi, Taiwan,” Agricultural and Resources Economics, Vol.5, No.2, pp. 41-58, 2008.
  19. [19]  S. C. Liu, F. Congbin, C. J. Shiu, J. P. Chen, and F. Wu, “Temperature dependence of global precipitation extremes,” Geophysical Research Letters, Vol.36, L17702, 2009.
  20. [20]  H. Murakami, B. Wang, and A. Kitoh, “Future changes in the western North Pacific typhoons: Projection with a 20-km-mesh global atmospheric model,” J. Climate, Vol.24, pp. 1154-1169, 2011.
  21. [21]  WLtextbar Delft Hydraulics, “SOBEK Software User’s Manual,” Delft, the Netherlands, 2006.
  22. [22]  D. Dutta and T. Tingsanchali, “Development of loss functions for urban flood risk analysis in Bangkok,” The University of Tokyo, 2003.
  23. [23]  P. A. Grossi, H. Kunreuther, and D. Windeler, “An introduction to catastrophe models and insurance,” Springer Science, 2005.
  24. [24]  F. Messner F and V. Meyer, “Flood damage, vulnerability and risk perception - challenges for flood damage research,” Springer, 2006.
  25. [25]  S. Schneiderbauer and D. Ehrlich, “Risk hazard and people’s vulnerability to natural hazards – a review of definitions, concepts and data,” European Commission Joint Research Centre, 2004.
  26. [26]  D. Shaw, H. H. Huang, and M. Horng, “Modeling flood loss and risk perception: The case of typhoon Nari in Taipei,” Beijing, China, 2005.
  27. [27]  D. Shaw, H. H. Huang, M. J. Horng, M. M. Lu, and Y. L. Lo, “A probabilistic flood risk analysis of household losses in the Danshuei river basin,” Taiwan Economic Forecast and Policy, Vol.37, No.3, pp. 31-53, 2007.
  28. [28]  R. Y. Wang, S. P. Cheng, and H. Y. Huang, “Hazard risk analysis of typhoon damages in urban areas,” Journal of Chinese Agricultural Engineering, Vol.48, No.2, pp. 1-16, 2002.
  29. [29]  R. Y. Wang, S. P. Cheng, and M. D. Su, “Establishment of systematic models for flood damage evaluation (1/2),” Water Resource Agency, Ministry of Economic Affairs, Taiwan, 2002.
  30. [30]  R. Mizuta, H. Yoshimura, H. Murakami, M. Matsueda, H. Endo, T. Ose, K. Kamiguchi, M. Hosaka, M. Sugi, S. Yukimoto, S. Kusunoki, and A. Kitoh, “Climate simulations using the improved MRI-AGCM with 20-km grid,” J. Meteor. Soc. Japan, 90A, pp. 235-260, 2012.
  31. [31]  A. Kitoh, T. Ose, K. Kurihara, S. Kusunoki, M. Sugi, and KAKUSHIN Team-3 Modeling Group, “Projection of changes in future weather extremes using super-high-resolution global and regional atmospheric models in the KAKUSHIN Program: Results of preliminary experiments,” Hydrological Research Letters, Vol.3, pp. 49-53, 2009.
  32. [32]  S. Kusunoki, R. Mizuta, and M. Matsueda, “Future changes in the East Asian rain band projected by global atmospheric models with 20-km and 60-km grid size,” Climate Dynamics, 2011.

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Last updated on Jul. 23, 2019