Typhoon disaster risk zoning for China’s coastal area

Jing ZHU, Yi LU, Fumin REN, John L McBRIDE, Longbin YE

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PDF(3498 KB)
Front. Earth Sci. ›› 2022, Vol. 16 ›› Issue (2) : 291-303. DOI: 10.1007/s11707-020-0858-5
RESEARCH ARTICLE
RESEARCH ARTICLE

Typhoon disaster risk zoning for China’s coastal area

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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.

Keywords

typhoon disaster / risk zoning / comprehensive social vulnerability index / China’s coastal area

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Jing ZHU, Yi LU, Fumin REN, John L McBRIDE, Longbin YE. Typhoon disaster risk zoning for China’s coastal area. Front. Earth Sci., 2022, 16(2): 291‒303 https://doi.org/10.1007/s11707-020-0858-5
<strong>AUTHOR BIOGRAPHIES</strong

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.

E-mail: zhujing_2015@163.com

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.

E-mail: luy@typhoon.org.cn

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.

E-mail: fmren@163.com

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.

E-mail: lbye_2015@163.com

References

[1]
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)
[2]
Chen L S, Ding Y H (1979). An Introduction to the Western Pacific Typhoon. Beijing: Science Press (in Chinese)
[3]
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)
[4]
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)
[5]
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)
[6]
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
CrossRef Google scholar
[7]
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
CrossRef Google scholar
[8]
Cutter S L, Boruff B J, Shirley W L (2003). Social vulnerability to environmental hazards. Soc Sci Q, 84(2): 242–261
CrossRef Google scholar
[9]
Ding Y, Shi P J (2002). Fuzzy risk assessment model of typhoon hazard.J Nat Disa, 11(1): 34–43 (in Chinese)
[10]
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)
[11]
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)
[12]
Hardoon D R, Shawe-Taylor J (2009). Convergence analysis of kernel canonical correlation analysis: theory and practice. Kluwer Academic Publishers. 74: 23–38
[13]
Hotelling H (1936). Relations between two sets of variates. Biometrika, 28(3–4): 321–377
CrossRef Google scholar
[14]
Huang W K, Wang J J (2015). Typhoon damage assessment model and analysis in Taiwan. Nat Hazards, 79(1): 497–510
CrossRef Google scholar
[15]
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
[16]
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)
[17]
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)
[18]
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)
[19]
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)
[20]
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
CrossRef Google scholar
[21]
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)
[22]
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)
[23]
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
CrossRef Google scholar
[24]
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)
[25]
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)
[26]
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)
[27]
Pielke R A J Jr, Landsea C W (1998). Normalized hurricane damages in the United States: 1925–95. Weather Forecast, 13(3): 621–631
CrossRef Google scholar
[28]
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
CrossRef Google scholar
[29]
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)
[30]
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
CrossRef Google scholar
[31]
Rezapour M, Baldock T E (2014). Classification of hurricane hazards: the importance of rainfall. Weather Forecast, 29(6): 1319–1331
CrossRef Google scholar
[32]
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)
[33]
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
CrossRef Google scholar
[34]
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)
[35]
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)
[36]
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
[37]
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)
[38]
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)
[39]
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)
[40]
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
CrossRef Google scholar
[41]
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)
[42]
Zhang Q, Wu L G, Liu Q F (2009). Tropical cyclone damages in china 1983–2006. Bull Am Meteorol Soc, 90(4): 489–496
CrossRef Google scholar
[43]
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)

Acknowledgments

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.

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