Estimation of the damage area due to tropical cyclones using fragility curves for paddy rice in Japan
Open Access
- 1 January 2012
- journal article
- research article
- Published by IOP Publishing in Environmental Research Letters
Abstract
A method for estimating the area of crop damage due to tropical cyclones (TCs) by using fragility curves (FCs) is proposed. FCs, which represent the probability of damage caused by external forces, are one method considered appropriate for estimating structural damage caused by natural disasters. Here, FCs are applied to estimate the area of damage to paddy rice resulting from typhoons in Japan. The FCs for paddy rice are assumed to vary with growth stage. Statistical data on areas damaged by 42 typhoons that have struck Japan between 1991 and 2007, together with observed meteorological data, are used to derive the FCs. In general, our estimates agree with the reported areas of damage for the 42 typhoons, especially for typhoons that affected large areas of paddy rice. Moreover, from statistical data on crop damage due to typhoons, the proposed method successfully shows that the heading stage of paddy rice is the stage most vulnerable to typhoons, as found in earlier experimental studies and post-disaster investigations.Keywords
This publication has 19 references indexed in Scilit:
- Future changes in European winter storm losses and extreme wind speeds inferred from GCM and RCM multi-model simulationsNatural Hazards and Earth System Sciences, 2011
- Benefits and limitations of regional multi-model ensembles for storm loss estimationsClimate Research, 2010
- Tropical cyclones and climate changeNature Geoscience, 2010
- Climate Change Impact on Rice Insurance Payouts in JapanJournal of Applied Meteorology and Climatology, 2008
- Deriving vulnerability curves using Italian earthquake damage dataBulletin of Earthquake Engineering, 2008
- Property loss potentials for European midlatitude storms in a changing climateGeophysical Research Letters, 2007
- Hurricane damage to residential construction in the US: Importance of uncertainty modeling in risk assessmentEngineering Structures, 2006
- A model for the estimation of storm losses and the identification of severe winter storms in GermanyNatural Hazards and Earth System Sciences, 2003
- Vulnerability of buildings to windstorms and insurance loss estimationJournal of Wind Engineering and Industrial Aerodynamics, 2003
- Bootstrap Methods: Another Look at the JackknifeThe Annals of Statistics, 1979