Hazard Footprint-Based Normalization of Economic Losses from Tropical Cyclones in China During 1983–2015

Wenfang Chen; Yi Lu; Shao Sun; Yihong Duan; Gregor C. Leckebusch

doi:10.1007/s13753-018-0172-y

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Article Navigation > International Journal of Disaster Risk Science > 2018 > 9(2): 195-206

Wenfang Chen, Yi Lu, Shao Sun, Yihong Duan, Gregor C. Leckebusch. Hazard Footprint-Based Normalization of Economic Losses from Tropical Cyclones in China During 1983–2015[J]. International Journal of Disaster Risk Science, 2018, 9(2): 195-206. doi: 10.1007/s13753-018-0172-y

Citation:

Wenfang Chen, Yi Lu, Shao Sun, Yihong Duan, Gregor C. Leckebusch. Hazard Footprint-Based Normalization of Economic Losses from Tropical Cyclones in China During 1983–2015[J]. International Journal of Disaster Risk Science, 2018, 9(2): 195-206. doi: 10.1007/s13753-018-0172-y

Citation:

Wenfang Chen, Yi Lu, Shao Sun, Yihong Duan, Gregor C. Leckebusch. Hazard Footprint-Based Normalization of Economic Losses from Tropical Cyclones in China During 1983–2015[J]. International Journal of Disaster Risk Science, 2018, 9(2): 195-206. doi: 10.1007/s13753-018-0172-y

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Hazard Footprint-Based Normalization of Economic Losses from Tropical Cyclones in China During 1983–2015

doi: 10.1007/s13753-018-0172-y

1 State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Science, 100081 Beijing, China;
2 Shanghai Typhoon Institute of China Meteorological Administration, 200030 Shanghai, China;
3 National Climate Center, China Meteorological Administration, 100081 Beijing, China;
4 School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK

Funds:

This study was supported by the National Basic Research Program of China (Grant No. 2015CB452806) and the National Natural Science Foundation of China (Grant No. 41701103). The authors would like to thank the editors and the anonymous reviewers for their constructive comments on the manuscript.

Available Online: 2021-04-26

Abstract

Abstract

Loss normalization is the prerequisite for understanding the effects of socioeconomic development, vulnerability, and climate changes on the economic losses from tropical cyclones. In China, limited studies have been done on loss normalization methods of damages caused by tropical cyclones, and most of them have adopted an administrative division-based approach to define the exposure levels. In this study, a hazard footprint-based normalization method was proposed to improve the spatial resolution of affected areas and the associated exposures to influential tropical cyclones in China. The meteorological records of precipitation and near-surface wind speed were used to identify the hazard footprint of each influential tropical cyclone. Provincial-level and national-level (total) economic loss normalization (PLN and TLN) were carried out based on the respective hazard footprints, covering loss records between 1999–2015 and 1983–2015, respectively. Socioeconomic factors—inflation, population, and wealth (GDP per capita)—were used to normalize the losses. A significant increasing trend was found in inflation-adjusted losses during 1983–2015, while no significant trend was found after normalization with the TLN method. The proposed hazard footprint-based method contributes to a more realistic estimation of the population and wealth affected by the influential tropical cyclones for the original year and the present scenario.
- China,
- Direct economic loss,
- Loss normalization,
- Tropical cyclones,
- Typhoon disaster risk

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References

Bouwer, L.M. 2011. Have disaster losses increased due to anthropogenic climate change? Bulletin of the American Meteorological Society 92(1): 39–46.

CMA (China Meteorological Administration). 2000–2004. China’s yearbooks of meteorology. Beijing: China Meteorological Press (in Chinese).

CMA (China Meteorological Administration). 2005–2016. China’s yearbooks of meteorological disaster. Beijing: China Meteorological Press (in Chinese).

Crompton, R.P., S. Schmidt, L. Wu, R. Pielke Jr, R. Musulin, and E. Michel-Kerjan. 2010. Topic 4.5: economic impacts of tropical cyclones. In Proceedings of seventh international workshop on tropical cyclones, 15–20 November 2010, La Réunion, France, 4.5.1–4.5.23.

Eichner, J. 2013. Loss trends—How much would past events cost by today’s standards? In Topics GEO 2012, ed. A. Wirtz, and A. Schuck, 56–59. München: Munich Re.

Eichner, J., P. Löw, and M. Steuer. 2016. Innovative new ways of analysing historical loss events. In Topics GEO 2015, ed. B. Brix, 62–66. München: Munich Re.

Estrada, F., W.J.W. Botzen, and R.S.J. Tol. 2015. Economic losses from US hurricanes consistent with an influence from climate change. Nature Geoscience 8(11): 880–884.

Fischer, T., B. Su, and S. Wen. 2015. Spatio-temporal analysis of economic losses from tropical cyclones in affected provinces of China for the last 30 years (1984–2013). Natural Hazards Review 16(4): Article 04015010.

Gemmer, M., Y.Z. Yin, Y. Luo, and T. Fischer. 2011. Tropical cyclones in China: County-based analysis of landfalls and economic losses in Fujian Province. Quaternary International 244(2): 169–177.

Haan, C.T. 1977. Statistical methods in hydrology. Ames: Iowa State University Press.

Hallegatte, S. 2015. Climate change: Unattributed hurricane damage. Nature Geoscience 8(11): 819–820.

Kendall, M. 1975. Rank correlation methods, 4th edn. London: Charles Griffin.

Lu, Y., W. Zhu, F. Ren, and X. Wang. 2016. Changes of tropical cyclone high winds and extreme winds during 1980–2014 over China. Climate Change Research 12(5): 413–421 (in Chinese).

Mann, H.B. 1945. Nonparametric tests against trend. Econometrica 13(3): 245–259.

NBSC (National Bureau of Statistics of China). 2016. China city statistical yearbook. Beijing: China Statistics Press (in Chinese).

NBSC (National Bureau of Statistics of China). 2015. 2015 statistical bulletin of national economic and social development. http://www.stats.gov.cn/tjsj/zxfb/201602/t20160229_1323991.html. Accessed 29 Mar 2018 (in Chinese).

NCC (National Climate Center). 2001. China’s tropical cyclone disasters dataset (1949–1999). http://data.cma.cn/data/cdcdetail/dataCode/DISA_TYP_DIS_CHN.html. Accessed 20 Mar 2018 (in Chinese).

Pattanayak, S., and D.N. Kumar. 2013. Review of trend detection methods and their application to detect temperature changes in India. Journal of Hydrology 476(1): 212–227.

Pielke Jr, R.A., and C.W. Landsea. 1998. Normalized hurricane damages in the United States: 1925–95. Weather and Forecasting 13(3): 621–631.

Pielke Jr, R.A., J. Gratz, C.W. Landsea, D. Collins, M.A. Saunders, and R. Musulin. 2008. Normalized hurricane damage in the United States: 1900–2005. Natural Hazards Review 9(1): 29–42.

Pielke Jr, R.A., J. Rubiera, C. Landsea, M.L. Fernández, and R. Klein. 2003. Hurricane vulnerability in Latin America and the Caribbean: Normalized damage and loss potentials. Natural Hazards Review 4(3): 101–114.

Raghavan, S., and S. Rajesh. 2003. Trends in tropical cyclone impact: A study in Andhra Pradesh, India. Bulletin of the American Meteorological Society 84(5): 635–644.

Ren, F., Y. Wang, X. Wang, and L. Weijing. 2007. Estimating tropical cyclone precipitation from station observations. Advances in Atmospheric Sciences 24(4): 700–711.

Sander, J., J.F. Eichner, E. Faust, and M. Steuer. 2013. Rising variability in thunderstorm-related U.S. losses as a reflection of changes in large-scale thunderstorm forcing. Weather, Climate and Society 5(4): 317–331.

Schmidt, S., C. Kemfert, and P. Höppe. 2009. Tropical cyclone losses in the USA and the impact of climate change—A trend analysis based on data from a new approach to adjusting storm losses. Environmental Impact Assessment Review 29(6): 359–369.

Swiss Re. 2016. Natural catastrophes and man-made disasters in 2015: Asia suffers substantial losses. https://reliefweb.int/sites/reliefweb.int/files/resources/sigma1_2016_en.pdf. Accessed 9 May 2018.

Wang, Y., S. Wen, X. Li, F. Thomas, B. Su, R. Wang, and T. Jiang. 2016. Spatiotemporal distributions of influential tropical cyclones and associated economic losses in China in 1984–2015. Natural Hazards 84(3): 2009–2030.

Ying, M., W. Zhang, H. Yu, X. Lu, J. Feng, Y. Fan, Y. Zhu, and D. Chen. 2014. An overview of the China Meteorological Administration tropical cyclone database. Journal of Atmospheric and Oceanic Technology 31(2): 287–301.

Zhang, Q., Q. Liu, and L. Wu. 2009. Tropical cyclone damages in China 1983–2006. Bulletin of the American Meteorological Society 90(4): 489–495.

Zhang, J., L. Wu, and Q. Zhang. 2011. Tropical cyclone damages in China under the background of global warming. Journal of Tropical Meteorology 27(4): 442–454 (in Chinese).

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