Skip to main content
SpringerLink
Log in

Typhoon disaster risk zoning for China’s coastal area

  • Research Article
  • Published:
Frontiers of Earth Science Aims and scope Submit manuscript

Abstract

Previous studies on typhoon disaster risk zoning in China have focused on individual provinces or small-scale areas and lack county-level results. In this study, typhoon disaster risk zoning is conducted for China’s coastal area, based on data at the county level. Using precipitation and wind data for China and typhoon disaster and social data at the county level for China’s coastal area from 2004 to 2013, first we analyze the characteristics of typhoon disasters in China’s coastal area and then develop an intensity index of factors causing typhoon disasters and a comprehensive social vulnerability index. Finally, by combining the two indices, we obtain a comprehensive risk index for typhoon disasters and conduct risk zoning. The results show that the maximum intensity areas are mainly the most coastal areas of both Zhejiang and Guangdong, and parts of Hainan Island, which is similar to the distribution of typhoon disasters. The maximum values of vulnerability in the northwest of Guangxi, parts of Fujian coastal areas and parts of the Shandong Peninsula. The comprehensive risk index generally decreases from coastal areas to inland areas. The high-risk areas are mainly distributed over Hainan Island, south-western Guangdong, most coastal Zhejiang, the coastal areas between Zhejiang and Fujian and parts of the Shandong Peninsula.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Cao S J, Fang W H, Tan J (2016). Vulnerability of building contents to coastal flooding based on questionnaire survey in Hainan after Typhoon Rammasun and Kalmeagi. J Catastrophology, 31(2): 188–195 (in Chinese)

    Google Scholar 

  • Chen L S, Ding Y H (1979). An Introduction to the Western Pacific Typhoon. Beijing: Science Press (in Chinese)

    Google Scholar 

  • Chen P Y, Yang Y H, Lei X T, Qian Y Z (2009). Cause analysis and preliminary hazard estimate of typhoon disaster in China. J Nat Disa, 18(1): 64–74 (in Chinese)

    Google Scholar 

  • Chen W F, Fang J, Xu W, Shi P J, Nie J L (2012). Quantitative analysis of typhoon hazard in the Yangtze River delta region. J Nat Disa, 21 (1): 1–8 (in Chinese)

    Google Scholar 

  • Chen W F, Xu W, Shi P J (2011). Risk assessment of typhoon disaster at county level in the Yangtze River Delta of China. J Nat Disa. 20(4): 77–84 (in Chinese)

    Google Scholar 

  • Chen W F, Cutter S L, Emrich C T, Shi P (2013). Measuring social vulnerability to natural hazards in the Yangtze River delta region, China. Int J Disa Risk Sc, 4(4): 169–181

    Article  Google Scholar 

  • Cheng S P, Wang R Y (2004). Analyzing hazard potential of typhoon damage by applying grey analytic hierarchy process. Nat Hazards, 33(1): 77–103

    Article  Google Scholar 

  • Cutter S L, Boruff B J, Shirley W L (2003). Social vulnerability to environmental hazards. Soc Sci Q, 84(2): 242–261

    Article  Google Scholar 

  • Ding Y, Shi P J (2002). Fuzzy risk assessment model of typhoon hazard. J Nat Disa, 11(1): 34–13 (in Chinese)

    Google Scholar 

  • Fang W H, Lin W (2013). A review on typhoon wind field modeling for disaster risk assessment. Prog Geogr, 32(6): 852–867 (in Chinese)

    Google Scholar 

  • Fang W H, Shi X W (2012). A review of stochastic modeling of tropical cyclone track and intensity for disaster risk assessment. Adv Earth Sci, 27(8): 866–875 (in Chinese)

    Google Scholar 

  • Hardoon D R, Shawe-Taylor J (2009). Convergence analysis of kernel canonical correlation analysis: theory and practice. Kluwer Academic Publishers. 74: 23–38

    Google Scholar 

  • Hotelling H (1936). Relations between two sets of variates. Biometrika, 28(3–4): 321–377

    Article  Google Scholar 

  • Huang W K, Wang J J (2015). Typhoon damage assessment model and analysis in Taiwan. Nat Hazards, 79(1): 497–510

    Article  Google Scholar 

  • Kim J M, Son K, Kim Y J (2018). Assessing regional typhoon risk of disaster management by clustering typhoon paths. Environ Dev Sustain, 18: 86–100

    Google Scholar 

  • Jiang T, Li X C, Chao Q C, Yuan J S, Lin E D (2014). Highlights and understanding of climate change 2014: impacts, adaptation, and vulnerability. Progressus Inquisitiones DE Mutatione Climatis, 10(3): 157–166 (in Chinese)

    Google Scholar 

  • Li C M, Luo X L, Liu J L, He J (2006). Application of analytical hierarchy process in the assessment model on tropical cyclone disaster’s influence. J Trop Meteorol, 22(3): 223–228 (in Chinese)

    Google Scholar 

  • Liang B Q, Liang J P, Wen Z P (1995). Study of typhoon disasters and its affects in China. J Nat Disa, 4(1): 84–91 (in Chinese)

    Google Scholar 

  • Lou W P, Chen H Y, Zhang F, Wu R (2009). Economic loss assessment of typhoon based on principal component analysis and neural network. Geogr Res, 28(05): 1243–1254 (in Chinese)

    Google Scholar 

  • Lou W, Chen H, Shen X, Sun K, Deng S (2012). Fine assessment of tropical cyclone disasters based on GIS and SVM in Zhejiang Province. Nat Hazards, 64(1): 511–529

    Article  Google Scholar 

  • Liu S J, Zhang J H, He Z W, Cai D X, Tian G H (2011). Typhoon hazard assessment system based on Doppler weather radar data. J Nat Disa, 20(5): 119–124 (in Chinese)

    Google Scholar 

  • Lin J S, Luo J L (1995). The evaluation and forcasting models of tropical cyclone disaster landing on Guangdong Province. J Nat Disa, 4(1): 92–97 (in Chinese)

    Google Scholar 

  • Lu Y, Ren F, Zhu W J (2018). Risk zoning of typhoon disasters in Zhejiang Province, China. Nat Hazard Earth Syst Sci, 18(11): 2921–2932

    Article  Google Scholar 

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

    Google Scholar 

  • Mo J F, Huang S Q, Zhong S Q, Chen Y L (2017). GIS-based elaborate evaluation of typhoon disaster vulnerability for the hazard bearing bodies in Guangxi. Torrential Rain & Disa., 36(2): 177–181 (in Chinese)

    Google Scholar 

  • Niu H Y, Liu M, Lu M, Quan R S, Wang J J, Zong N (2011). Losses assessment of typhoon disaster in China coastal Areas. J Nat Disast, 26(3): 61–64 (in Chinese)

    Google Scholar 

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

    Article  Google Scholar 

  • Qiu W, Ren F, Wu L, Chen L, Ding C (2019). Characteristics of tropical cyclone extreme precipitation and its preliminary causes in southeast China. Meteorol Atmos Phys, 131(3): 613–626

    Article  Google Scholar 

  • Ren F M, Byron G, David E (2001). A numerical technique for partitioning cyclone tropical precipitation. J Trop Meteorol, 17(3): 308–313 (in Chinese)

    Google Scholar 

  • Ren F M, Wang Y M, Wang X L, Li W J (2007). Estimating tropical cyclone precipitation from station observations. Adv Atmos Sci, 24(4): 700–711

    Article  Google Scholar 

  • Rezapour M, Baldock T E (2014). Classification of hurricane hazards: the importance of rainfall. Weather Forecast, 29(6): 1319–1331

    Article  Google Scholar 

  • Su G L, Miao C M, Mao Y D, Wu L H (2008). Typhoon hazard in Zhejiang Province and risk assessment of its influence on agriculture. J Nat Disaster, 17(5): 113–119 (in Chinese)

    Google Scholar 

  • Vickery P J, Masters F J, Powell M D, Wadhera D (2009). Hurricane hazard modeling: the past, present, and future. J Wind Eng Ind Aerodyn, 97(7–8): 392–405

    Article  Google Scholar 

  • Wang L, Luo Y, Xu L Y, Zhang Q, Chen Y, Ye D X (2006). Review of Typhoon and its related natural disasters over the past 35 years in China. Sci & Technol Rev, 11: 23–25 (in Chinese)

    Google Scholar 

  • Xu L Y, Gao G (2005). Features of typhoon in recent 50 years and annual disaster assessment. Meteorol Mon, 31(3): 41–45 (in Chinese)

    Google Scholar 

  • Xu X L, Sun D W, Guo T J (2015). A systemic analysis of typhoon risk across China. J International Society Prevent Mitigat Nat Hazards, 77: 461–477

    Google Scholar 

  • Xue G Y, Zhou L F, Zhu X M (2006). Elementary research on the characteristics of typical cyclone disasters in 2005. Sci & Techn Rev, 24(4): 22–28 (in Chinese)

    Google Scholar 

  • Yang H J, Li N, Lei Y (2007). Features of typhoon in southeast coastal regions of china in the recent 54 years. Sci Meteorol Sin., 27(4): 413–418 (in Chinese)

    Google Scholar 

  • Yang Q Z, Xu M, Li J (2010). A quantitative and objective approach to diagnosing the hazard degree of the meteorological disastrous factors. Acta Meteorol Sin, 68(2): 277–284 (in Chinese)

    Google Scholar 

  • Yin J, Yin Z, Xu S Y (2013). Composite risk assessment of typhoon-induced disaster for China’s coastal area. Nat Hazards, 69(3): 1423–1434

    Article  Google Scholar 

  • Yu B, Miao Q L, Pan W Z, Song J, Zhang W W, Duan C F (2011). Risk division and assessment of typhoon rainstorm flooding disasters in Hangzhou City. Meteoro Mon, 37(11): 1415–1422 (in Chinese)

    Google Scholar 

  • Zhang Q, Wu L G, Liu Q F (2009). Tropical cyclone damages in china 1983–2006. Bull Am Meteorol Soc, 90(4): 489–496

    Article  Google Scholar 

  • Zhao S S, Ren F, Ge G, Huang D P (2015). Characteristics of Chinese tropical cyclone disaster in the past 10 years. J Trop Meteorol, 31(3): 424–432 (in Chinese)

    Google Scholar 

Download references

Acknowledgements

This study was supported by the National Key R&D Program of China (Grant No. 2019YFC1510205), the National Basic Research Program of China (No. 2015CB452806) and the Jiangsu Collaborative Innovation Center for Climate Change.

Author information

Authors and Affiliations

  1. Xiamen Key Laboratory of Straits Meteorology, Xiamen Meteorological Bureau, Xiamen, 361012, China

    Jing Zhu & Longbin Ye

  2. Shanghai Typhoon Institute of China Meteorological Administration, Shanghai, 200030, China

    Yi Lu

  3. State Key Laboratory of severe weather, Chinese Academy of Meteorological Sciences, Beijing, 10081, China

    Fumin Ren

  4. School of Earth Science, (Honorary) University of Melbourne, Melbourne, 3010, Australia

    John L. McBride

  5. Research and Development Division (Emeritus Scientist), Bureau of Meteorology, Melbourne, 3010, Australia

    John L. McBride

Authors
  1. Jing Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yi Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fumin Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. John L. McBride
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Longbin Ye
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Fumin Ren.

Additional information

Author Biographies

Jing Zhu received her Master’s Degree from Chengdu University of Information Technology (CUIT), Chengdu, China, in Atmospheric Science in 2017. She has worked in the Fujian Meteorological Information Center for 2 years as an assistant engineer and now is a researcher at Xiamen Key Laboratory of Straits Meteorology in Xiamen Meteorological Bureau. Ms Zhu is a member of the sixth project of the National Basic Research Program of China (No. 2015CB452806). She mainly works on typhoon disasters.

Yi Lu received her Master’s Degree from Nanjing University of Information Science and Technology in meteorology in 2016. She works at Shanghai Typhoon Institute of China Meteorological Administration and is engaged in typhoon impact assessment. She presides a Shanghai Sailing Program and participates in two national-level projects. She has published 6 papers, including 1 SCI and 1 core journal as the first author. Ms Lu is a member of the sixth project of the National Basic Research Program of China (No. 2015CB452806). Her main research direction is typhoon disaster.

Dr. Fumin Ren received his Ph.D in meteorology from Institute of Atmospheric Physics, Chinese Academy of Sciences in 2009. He worked for 18 years as a climatologist National Climate Center, Chinese meteorological Administration and became a senior scientist on extreme events especially regional extreme events. Since 2013, he worked in Chinese Academy of Meteorological Sciences, Chinese Meteorological Administration and focused on typhoon precipitation and disaster. Dr. Ren is interested in extreme events, typhoon weather and climate especially its precipitation and disaster. Dr. Ren made achievements in researches on extreme events and typhoon with several representative papers.

Longbin Ye received his Master’s Degree from Chengdu University of Information Technology (CUIT) in Atmospheric Science in 2017, Chengdu, China. He studied at CMA for two years. He is a researcher at the Xiamen Key Laboratory of Straits Meteorology. He mainly studies on typhoon great rainfall.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhu, J., Lu, Y., Ren, F. et al. Typhoon disaster risk zoning for China’s coastal area. Front. Earth Sci. 16, 291–303 (2022). https://doi.org/10.1007/s11707-020-0858-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11707-020-0858-5

Keywords

Search

Navigation