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.
| Original language | English |
|---|---|
| Pages (from-to) | 195-206 |
| Number of pages | 12 |
| Journal | International Journal of Disaster Risk Science |
| Volume | 9 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Jun 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- China
- Direct economic loss
- Loss normalization
- Tropical cyclones
- Typhoon disaster risk
ASJC Scopus subject areas
- Global and Planetary Change
- Geography, Planning and Development
- Safety Research
- Management, Monitoring, Policy and Law
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