Volume 13 Issue 6
Feb.  2023
Turn off MathJax
Article Contents
Xuran Sun, Wei Zhou, Guoming Zhang, Lianyou Liu, Guangpeng Wang, Mingzhu Xiang, Yuting Xiao, Shufeng Qu, Shouwei Li, Jiaxue Li. Pre-rainy Season Rainstorms in South China—Risk Perception of the 11 April 2019 Rainstorm in Shenzhen City[J]. International Journal of Disaster Risk Science, 2022, 13(6): 925-935. doi: 10.1007/s13753-022-00460-z
Citation: Xuran Sun, Wei Zhou, Guoming Zhang, Lianyou Liu, Guangpeng Wang, Mingzhu Xiang, Yuting Xiao, Shufeng Qu, Shouwei Li, Jiaxue Li. Pre-rainy Season Rainstorms in South China—Risk Perception of the 11 April 2019 Rainstorm in Shenzhen City[J]. International Journal of Disaster Risk Science, 2022, 13(6): 925-935. doi: 10.1007/s13753-022-00460-z

Pre-rainy Season Rainstorms in South China—Risk Perception of the 11 April 2019 Rainstorm in Shenzhen City

doi: 10.1007/s13753-022-00460-z
Funds:

The study was supported by the National Key Research and Development Project (Grant No. 2017YFC1503000). The authors would like to thank the reviewers for their valuable comments and the editors’ help with this article.

  • Received Date: 2022-11-26
  • Accepted Date: 2022-11-26
  • Available Online: 2023-02-09
  • Publish Date: 2022-12-02
  • With the acceleration of urbanization in South China, rainstorms and floods are threatening the safety of people in urban areas. The 11 April 2019 (4·11 hereafter) rainstorm in Shenzhen City was a typical pre-rainy season rainstorm that caused great damage, yet such pre-rainy season events have not attracted sufficient attention in research. Risk perception of the public may indirectly affect their disaster preparedness, which is important for disaster management. In this study, we conducted a questionnaire survey that considered demographic factors and the level of risk perception, knowledge of risk, impact of the 4·11 rainstorm event on public risk perception, and degree of trust in the government. We used a two-factor model of risk perception to evaluate the factors that influenced public risk perception of the 4·11 rainstorm in Shenzhen. The main conclusions are:The 4·11 rainstorm improved public awareness of both risk and impact through the medium term, but the public's perceived low probability of disaster occurrence and lack of knowledge of the pre-rainy season rainstorm phenomenon led to serious losses during this event. Although the public has high trust in the Shenzhen government, the management of rainstorm disasters in the pre-rainy season needs to be further improved.
  • loading
  • Arceneaux, K., and R.M. Stein. 2006. Who is held responsible when disaster strikes? The attribution of responsibility for a natural disaster in an urban election. Journal of Urban Affairs 28(1):43-53.
    Bang, H.N., and N.C. Burton. 2021. Contemporary flood risk perceptions in England:Implications for flood risk management foresight. Climate Risk Management 32:Article 100317.
    Birkholz, S., M. Muro, P. Jeffrey, and H.M. Smith. 2014. Rethinking the relationship between flood risk perception and flood management. Science of The Total Environment 478:12-20.
    Bouguettaya, A., Q. Yu, X. Liu, X. Zhou, and A. Song. 2015. Efficient agglomerative hierarchical clustering. Expert Systems with Applications 42(5):2785-2797.
    Buchenrieder, G., J. Brandl, and A.R. Balgah. 2021. The perception of flood risks:A case study of Babessi in rural Cameroon. International Journal of Disaster Risk Science 12(4):458-478.
    Chen, Y., Y. Luo, and B. Liu. 2022. General features and synoptic-scale environments of mesoscale convective systems over South China during the 2013-2017 pre-summer seasons. Atmospheric Research 266:Article 105954.
    Chung, R.H., B.S. Kim, and J.M. Abreu. 2004. Asian American multidimensional acculturation scale:Development, factor analysis, reliability, and validity. Cultural Diversity and Ethnic Minority Psychology 10(1):66-80.
    Dai, W. 2014. Research on disaster risk perception of Guangzhou residents. Ph.D. dissertation. Lanzhou University, Lanzhou, China (in Chinese).
    Gao, W., L. Xue, L. Liu, C. Lu, Y. Yun, and W. Zhou. 2021. A study of the fraction of warm rain in a pre-summer rainfall event over South China. Atmospheric Research 262:Article105792.
    Ge, Y., W. Xu, Z. Gu, Y. Zhang, and L. Chen. 2011. Risk perception and hazard mitigation in the Yangtze River Delta region, China. Natural Hazards 56(3):633-648.
    Gustafson, P.E. 1998. Gender differences in risk perception:Theoretical and methodological perspectives. Risk Analysis 18(6):805-811.
    He, X., and L. Tang. 2018. Exploration and reflection on the pilot of Shenzhen catastrophe insurance. Journal of Insurance Professional College 32(3):35-38(in Chinese).
    Huang, J., M. Li, J. Kang, Y. Cao, and Q. Zeng. 2021. Mining and analysis of rainstorm disaster information based on social media-Case study of Shenzhen rainstorm on "April 11, 2019". Journal of Economics of Water Resources 39(2):86-94, 98(in Chinese).
    Hudson, P., L. Hagedoorn, and P. Bubeck. 2020. Potential linkages between social capital, flood risk perceptions, and self-efficacy. International Journal of Disaster Risk Science 11(3):251-262.
    Kim, D.K.D., and T.P. Madison. 2020. Public risk perception attitude and information-seeking efficacy on floods:A formative study for disaster preparation campaigns and policies. International Journal of Disaster Risk Science 11(5):592-601.
    Leon, N., H. Sonja, E. Steven, and D. Martin. 2021. The importance of public risk perception for the effective management of pluvial floods in urban areas:A case study from Germany. Journal of Flood Risk Management. https://doi.org/10.1111/jfr3.12688.
    Li, C., Q. Chen, C. Zhao, and C. Zhang. 2021. Comparative analysis of two precipitation events in Shenzhen under similar synoptic background in early rainy season. Journal of Marine Meteorology 41(2):24-33(in Chinese).
    Liu, J., H. Huang, and G. Zhou. 2006. Research on risk cognitive structure of urban residents. Psychological Science 6:1439-1441, 1459(in Chinese).
    Luo, Y., R. Zhang, and Q. Wan. 2017. The southern China monsoon rainfall experiment (SCMREX). Bulletin of the American Meteorological Society 98(5):1-17.
    Muñoz-Duque, L.A., O. Navarro, D. Restrepo-Ochoa, and G. Fleury-Bahi. 2021. Risk perception and trust management in inhabitants exposed to coastal flooding:The case of Cartagena, Colombia. International Journal of Disaster Risk Reduction 60:Article 102261.
    Ng, S.L. 2022. Effects of risk perception on disaster preparedness toward typhoons:An application of the extended theory of planned behavior. International Journal of Disaster Risk Science 13(1):100-113.
    Pan, Y., and W. Xu. 2019. Study on temporal and spatial pattern and vulnerability of motor vehicle loss in rainstorm disaster in Shenzhen. City and Disaster Reduction No. 6:28-33(in Chinese).
    Peng, L., J. Tan, L. Lin, and D. Xu. 2019. Understanding sustainable disaster mitigation of stakeholder engagement:Risk perception, trust in public institutions, and disaster insurance. Sustainable Development 27(5):885-897.
    Ridha, T., A.D. Ross, and A. Mostafavi. 2022. Climate change impacts on infrastructure:Flood risk perception and evaluations of water systems in coastal urban areas. International Journal of Disaster Risk Reduction 73:Article 102883.
    Rufat, S., and W. Botzen. 2022. Drivers and dimensions of flood risk perceptions:Revealing an implicit selection bias and lessons for communication policies. Global Environmental Change 73:Article 102465.
    Russell, L.A., J.D. Goltz, and L.B. Bourque. 1995. Preparedness and hazard mitigation actions before and after earthquakes. Environment and Behavior 27(6):744-770.
    Slovic, P. 1987. Perception of risk. Science 236(4799):280-285.
    Wang, X. 2016. Study of improvements in government credibility in public crisis management. M.S. thesis. Chang'an University, Xi'an, China (in Chinese).
    Wang, J. 2021. Research on crowd psychological control mechanism to deal with the disaster of large-scale mass activities. Journal of Armed Police College 37(7):30-36(in Chinese).
    Weinstein, N.D. 1982. Unrealistic optimism about susceptibility to health problems. Journal of Behavioral Medicine 5(4):441-460.
    Xu, D., X. Deng, S. Guo, and S. Liu. 2019. Labor migration and farmland abandonment in rural China:Empirical results and policy implications. Journal of Environmental Management 232:738-750.
    Xue, H., X. Zhou, Y. Luo, and J. Yin. 2021. Impact of parameterizing the turbulent orographic form drag on convection-permitting simulations of winds and precipitation over South China during the 2019 pre-summer season. Atmospheric Research 263:Article 105814.
    Yu, H., Y. Zhao, and Y. Fu. 2019. Optimization of impervious surface space layout for prevention of urban rainstorm waterlogging:A case study of Guangzhou, China. International Journal of Environmental Research and Public Health 16(19):A3613.
    Zhao, F., C. Zhao, and Y. Su. 2014. Changes in public risk perception before and after the "July 21" rainstorm disaster in Beijing. Journal of Natural Disasters 23(4):38-45(in Chinese).
    Zhou, J. 2017. Questionnaire data analysis-Six kinds of analysis ideas to crack SPSS. Beijing:Electronic Industry Press (in Chinese).
    Zinda, J.A., L.B. Williams, D.L. Kay, and S.M. Alexander. 2021. Flood risk perception and responses among urban residents in the northeastern United States. International Journal of Disaster Risk Reduction 64:Article 102528.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (423) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return