The impact of Typhoon Lekima (2019) on East China: a postevent survey in Wenzhou City and Taizhou City
Cong ZHOU, Peiyan CHEN, Shifang YANG, Feng ZHENG, Hui YU, Jie TANG, Yi LU, Guoming CHEN, Xiaoqing LU, Xiping ZHANG, Jing SUN
The impact of Typhoon Lekima (2019) on East China: a postevent survey in Wenzhou City and Taizhou City
Typhoon Lekima (2019) struck Zhejiang Province on 10 August 2019 as a supertyphoon, which severely impacted Zhejiang Province. The typhoon killed 45 people and left three others missing, and the total economic loss reached 40.71 billion yuan. This paper reports a postdisaster survey that focuses on the storm precipitation, flooding, landslides, and weather services associated with Typhoon Lekima (2019) along the south-eastern coastline of Zhejiang Province. The survey was conducted by a joint survey team from the Shanghai Typhoon Institute and local meteorological bureaus from 26 to 28 August, 2019, approximately two weeks after the disaster. Based on this survey and subsequent analyses of the results, we hope to develop countermeasures to prevent future tragedies.
Typhoon Lekima (2019) / Zhejiang Province / disaster assessment / postdisaster survey
[1] |
Chen P, Lei X, Ying M (2013). Introduction and application of a new comprehensive assessment index for damage caused by tropical cyclones. Trop Cyclone Res Rev, 2: 176–183
|
[2] |
Chen P, Yu H Y, Xiao T L, Yan Z Q (2009). Cause analysis and preliminary hazard estimate of typhoon disaster in China. J Nat Disast, 18: 64–73 (in Chinese)
|
[3] |
Chen P, Yu H, Xu M, Lei X, Zeng F (2019). A simplified index to assess the combined impact of tropical cyclone precipitation and wind on China. Front Earth Sci, 13(4): 672–681
CrossRef
Google scholar
|
[4] |
Cox D, Arikawa T, Barbosa A, Guannel G, Inazu D, Kennedy A, Li Y, Mori N, Perry K, Prevatt D (2019). Hurricanes Irma and Maria postevent survey in US Virgin Islands. Coast Eng J, 61(2): 121–134
CrossRef
Google scholar
|
[5] |
Eisenman D P, Cordasco K M, Asch S, Golden J F, Glik D (2007). Disaster planning and risk communication with vulnerable communities: lessons from Hurricane Katrina. Am J Public Health, 97(Suppl 1): S109–S115
CrossRef
Pubmed
Google scholar
|
[6] |
Elliott J R, Pais J (2006). Race, class, and Hurricane Katrina: Social differences in human responses to disaster. Soc Sci Res, 35(2): 295–321
CrossRef
Google scholar
|
[7] |
Emanuel K, Ravela S, Vivant E, Risi C (2006). A statistical deterministic approach to hurricane risk assessment. Bull Am Meteorol Soc, 87(3): S1–S5
CrossRef
Google scholar
|
[8] |
Fang W, Lin W (2013). A review on typhoon wind field modeling for disaster risk assessment. Prog Geogr, 32: 852–867
|
[9] |
Fang W, Shi X (2012). A review of stochastic modeling of tropical cyclone track and intensity for disaster risk assessment. Adv in Earth Sci, 27: 866–875 (in Chinese)
|
[10] |
Hugelius K, Gifford M, Örtenwall P, Adolfsson A (2017). Health among disaster survivors and health professionals after the Haiyan Typhoon: a self-selected Internet-based web survey. Int J Emerg Med, 10(1): 13
CrossRef
Pubmed
Google scholar
|
[11] |
Lei X T, Chen P Y, Yang Y H, Qian Y Z (2009). Characters and objective assessment of disasters caused by typhoons in China. Acta Meteorol Sin, 67: 875–883
|
[12] |
Li C J, Wang Y J, Shen X H, Ye J Q (2004). Remote Sensing Survey and Integrated Investigation of Land and Resources in Zhejiang Province. Beijing: Geological Publishing House
|
[13] |
Li H C, Hsieh L S, Chen L C, Lin L Y, Li W S (2014). Disaster investigation and analysis of Typhoon Morakot. J Chin Inst Eng, 37(5): 558–569
CrossRef
Google scholar
|
[14] |
Lin C Y, Chen T C, Dai C Y, Yu M L, Lu P L, Yen J H, Chen Y H (2015). Serological investigation to identify risk factors for post-flood infectious diseases: a longitudinal survey among people displaced by Typhoon Morakot in Taiwan, China. BMJ Open, 5(5): e007008
CrossRef
Pubmed
Google scholar
|
[15] |
Lin N, Emanuel K, Oppenheimer M, Vanmarcke E (2012). Physically based assessment of hurricane surge threat under climate change. Nat Clim Chang, 2(6): 462–467
CrossRef
Google scholar
|
[16] |
Lu Y, Ren F, Zhu W (2018). Risk zoning of typhoon disasters in Zhejiang Province, China. Nat Hazards Earth Syst Sci, 18(11): 2921–2932
CrossRef
Google scholar
|
[17] |
Lu Y, Yu H, Yang Q, Xu M, Zheng F, Zhu J (2017). Post-disaster survey of Typhoon Megi in Wenzhou City. Trop Cyclone Res Rev, 6: 34–39
|
[18] |
Lu X Q, Zhao B K (2013). Analysis of the climatic characteristics of landing tropical cyclones in East China. J Trop Meteorol, 19: 145–153
|
[19] |
Ma T, Li C, Lu Z, Bao Q (2015). Rainfall intensity–duration thresholds for the initiation of landslides in Zhejiang Province, China. Geomorphology, 245: 193–206
CrossRef
Google scholar
|
[20] |
Mellman TA, David D, Kulick-Bell R, Hebding J, Nolan B (1995). Sleep disturbance and its relationship to psychiatric morbidity after Hurricane Andrew. Am J Psychiatry, 152(11): 1659–1663
CrossRef
Google scholar
|
[21] |
Tajima Y, Tomohiro Y, Benito M P, Eric C, Koji K, Hisamichi N, Mamoru M, Yuji A, Taro A, Noel M O, Ronwaldo A, William M, Justin V, Ferdinand B (2014). Initial report of JSCE-PICE joint survey on the storm surge disaster caused by Typhoon Haiyan. Coast Eng J, 56(1): 1450006-1–1450006-12
CrossRef
Google scholar
|
[22] |
Tajima Y, John P L, Jeane C, Mizuka S, Yoshinao M, Takenori S, Dominic B, Marjorie T, Eric C (2017 ).Post-disaster survey of storm surge and waves along the coast of Batanes, the Philippines, caused by Super Typhoon Meranti/Ferdie. Coast Eng J, 59(1): 1750009-1–1750009-11
CrossRef
Google scholar
|
[23] |
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
|
[24] |
Willoughby H E, Black P G (1996). Hurricane Andrew in Florida: dynamics of a disaster. Bull Am Meteorol Soc, 77(3): 543–549
CrossRef
Google scholar
|
[25] |
Zhang Q, Wu L, Liu Q (2009). Tropical cyclone damages in China 1983–2006. Bull Am Meteorol Soc, 90(4): 489–496
CrossRef
Google scholar
|
/
〈 | 〉 |