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Assessing Urban Risk to Extreme Heat in China

Author

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  • Xiaojun Huang

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
    Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Xi’an 710127, China)

  • Yanyu Li

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

  • Yuhui Guo

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

  • Dianyuan Zheng

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

  • Mingyue Qi

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

Abstract

Many cities are experiencing persistent risk in China due to frequent extreme weather events. Some extreme weather events, such as extreme heat hazard, have seriously threatened human health and socio-economic development in cities. There is an urgent need to measure the degree of extreme heat risk and identify cites with the highest levels of extreme heat risk. In this study, we presented a risk assessment framework of extreme heat and considered risk as a combination of hazard, exposure, and vulnerability. Based on these three dimensions, we selected relevant variables from historical meteorological data (1960–2016) and socioeconomic statistics in 2016, establishing an indicator system of extreme heat risk evaluation. Finally, we developed an extreme heat risk index to quantify the levels of extreme heat risk of 296 prefecture-level cities in China and revealed the spatial pattern of extreme heat risk in China in 2016 and their dominant factors. The results show that (1) cities with high levels of extreme heat hazard are mainly located in the south of China, especially in the southeast of China; (2) the spatial distribution of the extreme heat risk index shows obvious agglomeration characteristics; (3) the spatial distribution of the extreme heat risk is still mostly controlled by natural geographical conditions such as climate and topography; (4) among the four types of hazard-dominated, exposure-dominated, vulnerability-dominated, and low risk cities, the number of vulnerability-dominated cities is the largest. The results of this study can provide support for the risk management of extreme heat disasters and the formation of targeted countermeasures in China.

Suggested Citation

  • Xiaojun Huang & Yanyu Li & Yuhui Guo & Dianyuan Zheng & Mingyue Qi, 2020. "Assessing Urban Risk to Extreme Heat in China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2750-:d:339636
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    References listed on IDEAS

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    Cited by:

    1. Wang, Hongtian & Shan, Jinghan & Zhang, Xuemei & Nie, Pu-yan & Wang, Chan, 2025. "Labor force allocation changes triggered by extreme heat events—Evidence from China," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 2142-2160.
    2. Dandan Yu & Shan Li & Ning (Chris) Chen & Michael Hall & Zhongyang Guo, 2023. "High Temperatures and Tourism: Findings from China," Sustainability, MDPI, vol. 15(19), pages 1-14, September.
    3. Nadeem Akhtar & Hidayat Ullah Khan & Muhammad Asif Jan & Cornelius B. Pratt & Ma Jianfu, 2021. "Exploring the Determinants of the China-Pakistan Economic Corridor and Its Impact on Local Communities," SAGE Open, , vol. 11(4), pages 21582440211, December.
    4. Brown, Austin L. & Sperling, Daniel & Austin, Bernadette & DeShazo, JR & Fulton, Lew & Lipman, Timothy & Murphy, Colin W & Saphores, Jean Daniel & Tal, Gil & Abrams, Carolyn & Chakraborty, Debapriya &, 2021. "Driving California’s Transportation Emissions to Zero," Institute of Transportation Studies, Working Paper Series qt3np3p2t0, Institute of Transportation Studies, UC Davis.

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