Recent changes in vulnerability and responses of economic and human systems to major extreme weather hazards in the United States
| Autor: | Jinhua Luo, Qianqian Zhou, Guoyong Leng, Jiongheng Su |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
Human systems engineering hazard vulnerability lcsh:Risk in industry. Risk management 0211 other engineering and technologies Vulnerability 02 engineering and technology weather extremes 01 natural sciences lcsh:TD1-1066 Extreme weather lcsh:Environmental technology. Sanitary engineering Environmental planning lcsh:Environmental sciences 021101 geological & geomatics engineering 0105 earth and related environmental sciences General Environmental Science lcsh:GE1-350 economic damage Hazard human casualty lcsh:HD61 Geography population characteristics General Earth and Planetary Sciences geographic locations |
| Zdroj: | Geomatics, Natural Hazards & Risk, Vol 11, Iss 1, Pp 357-376 (2020) |
| ISSN: | 1947-5713 1947-5705 |
| DOI: | 10.1080/19475705.2020.1725151 |
| Popis: | Reducing the impacts and risk of weather hazards requires better knowledge of the regions that are most affected in terms of economic damage, fatality and injury. While understanding of weather hazards has greatly improved, regional vulnerability to weather hazards of various types has not been well assessed in the United States. Through a compilation of event-based records of eight types of weather hazards for 1996–2016 at the national, regional and state levels, our analysis shows large differences in the change trends in economic damage, fatality and injury caused by drought, coastal flood, hail and wildfire, demonstrating the inconsistent responses of economic and human systems to weather hazards of various types at the state level. Despite a general increase in annual occurrences, spatial analysis shows that vulnerability to tornado and hail has decreased significantly in most of the country. Our results have great implications for adaptation and mitigation strategies, through identifying the vulnerable regions and types of hazards that require more urgent efforts for reducing economic and human losses. It is, however, important to keep in mind that the results may depend on the records, indicators and time periods used for the analysis. The spatial differences in different economic impacts induced by weather hazards of various types. The figure shows the regions that are most vulnerable to each type of hazards in terms of annual mean damage and individual mean damage. Identification and spatial distribution of dominant weather hazards according to (a) annual mean damage and (c) individual mean damage (i.e. DPE) at the state level for the period 1996–2016. The mean damage values and variances of the corresponding dominant hazard in (a) and (c) are illustrated in the (b) and (d), respectively. |
| Databáze: | OpenAIRE |
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