Development of a Framework for the Flood Economic Risk Assessment Using Vector GIS Data
Kenichiro Kobayashi*1, Kaoru Takara*2, Mitsugu Funada*3,
and Yukiko Takeuchi*4
*1Educational Unit for Adaptation and Resilience for a Sustainable Society, Center for Promotion of Interdisciplinary Education and Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan
*2Disaster Prevention Research Institute, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan
*3Pasco Corporation, 1-2-3 Minatomachi, Naniwa-ku, Osaka 556-0017, Japan
*4Graduate School of Global Environmental Studies, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, Japan
This paper proposes a flood economic risk assessment framework using vector GIS data, expressing individual house and paddyfield, prepared by a municipal Japanese government. Flood inundation is first simulated with a structured grid, then the simulated flood inundation depth, expressed in grid cells, is assigned to vector data house and paddyfield polygons as attributes. Flood-damage ratios of houses and paddyfields are then calculated using relationships of the flood depth, duration, and damage ratio opened by the Japanese Ministry of Land, Infrastructure, Transport, and Tourisms (MLIT). Economic loss involving building and paddyfield damages due to flooding is then calculated by multiplying the damage ratio, evaluation price per area, and the asset area. The advantage of using such vector data is that it yields the area of each house and paddyfield precisely, which also realizes, on average, the precise economic loss estimation. As the results, the spatial distribution of economic loss on an individual house/paddyfield scale is also identified. Since vector data shows area characteristics, the framework proposed here is useful in communitybased flood management. A workshop presenting the framework showed that the system potentially induces workshop participants to consider community-based flood hazard management.
and Yukiko Takeuchi, “Development of a Framework for the Flood Economic Risk Assessment Using Vector GIS Data,” J. Disaster Res., Vol.5, No.6, pp. 657-665, 2010.
-  International Risk Governance Council, “White paper on Risk Governance towards an integrative approach,” 2005,
-  FEMA, “HAZUS-MH Flood Model,” 2010,
-  C. J. van der Sande, S. M. de Jong, and A. P. J. de Roo, “A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment,” International Journal of Applied Earth Observation and Geoinformation 4, pp. 217-229, 2003.
-  C.-S. Yi, J.-H. Lee, and M.-P. Shim, “GIS-based distributed technique for assessing economic loss from flood damage: Prefeasibility study for the Anyang Stream Basin in Korea,” Natural Hazards, DOI: 10.1007/s11069-010-9524-7, 2010.
-  MLIT, “Draft Manual of Economic Loss by Flood Disasters (Chisui Keizai Chosa Manual, in Japanese),” 2005 (in Japanese).
-  K. Kobayashi and K. Takara, “Estimation of crop damage by flood inundation: a physically-based framework for flood risk assessment,” Annuals of Disaster Prevention Research Institute, Kyoto University, Vol.52B, pp. 19-27, 2009 (in Japanese).
-  K. Kobayashi. K. Takara, and M. Funada, “Community-based flood hazard management by integrating the raster flood inundation simulation and the vector GIS data,” Proceedings of the 28th annual conference of Japan Society for Natural Disaster Science, pp. 45-46, 2009 (in Japanese).
-  K. Kobayashi, K. Takara, and M. Funada, “An integrated system framework for the flood risk assessment focusing on the economic loss of Flood Prone Regions,” International Conference on Hydrology and Disaster Management (H & DM), Proceedings, pp. 1-6, 2009.
-  K. Kobayashi, K. Takara, and E. Nakakita, “Climate change impacts on the flood hazard and economic risk in a Japanese catchment using GCM precipitations under the A1B scenario,” Advances in River Engineering, Vol.16, pp. 495-500, 2010 (in Japanese).
-  MLIT, “Digital National Land Information,” 2010,
-  Japan Map Center, “Detailed digital information (10m grid land use),” 2010,
-  Ministry of Internal Affairs and Communications, “Housing and Land Survey data,” 2010,
-  Japan Construction Information Center, “About flood disaster statistical survey,” 2010 (in Japanese),
-  Kyoto University and NTT resilient society research group, “Disaster Resilient Society,” p. 208, Nikkei BP, 2009 (in Japanese).
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