Published
Temporal-spatial characteristics and path analysis of maritime cyclones in Guangdong coastal areas in the South China Sea
Características temporales y espaciales y análisis de recorrido de ciclones marítimos en las areas costeras de Guangdong, en el Mar de la China Meridional
DOI:
https://doi.org/10.15446/esrj.v22n4.77361Keywords:
Guangdong coast, Maritime cyclones, Statistical characteristics, Temporal-spatial characteristics, Path analysis (en)Costa de Guangdong, Ciclones marítimos, características estadísticas, características temporales y espaciales, análisis de recorrido (es)
Downloads
This study was conducted to analyze the maritime cyclone characteristics in Guangdong coast in the years of 1949 to 2016, including inter-annual variation, the intensity of tropical cyclones, generating location and time, and path direction. The temporal-spatial characteristics were also studied. Results show there were 183 tropical cyclones landed in Guangdong coast in the past 68 years, with an average of 2.7 each year, which more than 60 percent were a typhoon. Most of the tropical cyclones were generated in the northwest Pacific, spanning from April to December. The path directions were mainly north, northwest, and west. The strengths of the tropical cyclones were reduced from central Guangdong coast to the east and the west sides, and the section of Zhanjiang city to Shenzhen city was the most vulnerable to tropical cyclones. Tropical cyclones that generated in the South China Sea tend to attack the west of the Guangdong coast, while the ones that produced in the northwest Pacific tend to attack the east of the Guangdong coast. In the study area, the tropical cyclones frequently occurred from July to September and became strongest in September. There are a most common landing section and path direction for each month. Finally, based on the statistical data and research results, the tropical cyclone paths in Guangdong coast were preliminarily analyzed.
Este estudio se realizó para analizar las características de los ciclones marítimos en la costa de Guangdong entre los años 1949 y 2016, además de su variación interanual, la intensidad de los ciclones tropicales, el lugar y el momento de creación, y su recorrido. Las características temporales y espaciales también fueron estudiadas. Los resultados muestran que 183 ciclones tropicales tocaron tierra en la costa de Guangdong en estos 68 años, con un promedio de 2.7 por año, de los cuales el 60 por ciento se consideran tifones. Muchos de los ciclones tropicales se generaron en el noroeste del Pacífico, y van de abril a diciembre. Las direcciones de recorrido son principalmente norte, noroeste, y oeste. La fuerza de los ciclones tropicales se redujeron desde la costa central de Guangdong hacia el este y el oeste, mientras que el sector entre las ciudades de Zhanjiang y Shenzhen es el más vulnerable a los ciclones. Los ciclones tropicales generados en el mar del Sur de China tienden a tocar tierra en el oeste de la costa de Guangdong, mientras que aquellos que se producen en el noroeste del Pacífico suelen recorrer hacia la costa este. En el área de estudio, los ciclones tropicales frecuentemente ocurren de julio a septiembre y son más fuertes en septiembre. Se evidenciaron recorridos y direcciones de los ciclones propias a cada mes. Finalmente, de acuerdo con la información estadística y los resultados de investigación, el recorrido de los ciclones tropicales en la costa de Guangdong fueron analizados preliminarmente.
References
Emanuel, K. (2005). Increasing destructiveness of tropical cyclones over the past 30 years. Nature, 436(7051), 686.
Jia, X., Lu, C. T., Lu, J., & Zhou, Z. P. (2010). Statistical characteristics of typhoons affecting China coast and numerical simulation of typhoon waves. Journal of Waterway and Harbor, 31(5), 433-436.
Li, Y., Chen, L. S., & Zhang, S. J. (2004). Statistical characteristics of tropical cyclone making landfalls on China. Journal of Tropical Meteorology, 20(1), 14-23.
Liou, C. S., & Elsberry, R. L. (1987). Heat budgets of analyses and forecasts of an explosively deepening maritime cyclone. Monthly Weather Review, 115 (9), 1809-1824.
Liu, Y. C., Chen, H. F., Liu, X., & Chang, Y. P. (2017). Insight into tropical cyclone behaviour through examining maritime disasters over the past 1000 years based on the dynastic histories of China–A dedication to Ocean Researcher V. Quaternary International, 440, 72-81.
Rezaee, S., Pelot, R., & Finnis, J. (2016). The effect of extratropical cyclone weather conditions on fishing vessel incidents’ severity level in Atlantic Canada. Safety Science, 85, 33-40.
Tang, X. C., Liu, H. P., Pan, A. D., Liang, B. Q., Li, Y. T., & Wang, T. M. (2003). Analysis of disastrous features of landing typhoon in coastal regions of Guangdong province in recent 50 years. Scientia Geographica Sinica, 23(2), 182-187.
Tucker, C. S., Trepanier, J. C., Harley, G. L., & Delong, K. L. (2018). Recording tropical cyclone activity from 1909 to 2014 along the northern Gulf of Mexico using maritime slash pine trees (pinus elliottii var. elliottii engelm.). Journal of Coastal Research, 34(2), 328-340.
Wen, Y. (2002). The characteristics of typhoon disaster and disaster countermeasures in Guangdong province. Journal of Catastrophology, 17(3), 54-59.
Williams, M. J., Coles, R., & Primavera, J. H. (2007). A lesson from cyclone Larry: An untold story of the success of good coastal planning. Estuarine, Coastal and Shelf Science, 71(3-4), 364-367.
Xu, F. M., Huang, Y. F., & Song, Z. Y. (2008). Numerical simulation of typhoon-driven-waves from the East China Sea to Yangtze Estuary. Chinese Journal of Hydrodynamics, 23(6), 604-611.
Yuan, F. C., Chen, M. N., & Chen, D. W. (2010). Changes of tropical cyclones in China and Fujian in recent 60 years. Marine Forecasts, 27(5), 34-39.
Yuan, J. J., Ding, Z. Y., & Wang, L. (2011). A statistical study and composite analysis on the characteristics of the extratropical transition of landfall typhoons during 1949-2007. Journal of Tropical Meteorology, 27(4), 529-541.
Zhang, W. L., & Cui, X. P. (2013). Review of the studies on tropical cyclone genesis. Journal of Tropical Meteorology, 29(2), 337-346.
Zhao, H. J., Song, Z. Y., Xu, F. M., & Cheng, C. (2010). Numerical simulation of typhoon waves in the South China Sea – a case study of Typhoon Chanchu. The Ocean Engineering, 28(3), 128-134.
Zheng, C. W., Zhou, L., Song, S., & Pan, J. (2014). Simulation of the wave field caused by No. 1307 typhoon “Soulik.” Journal of Xiamen University (Natural Science), 53(2), 257-262.
How to Cite
APA
ACM
ACS
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Download Citation
CrossRef Cited-by
1. Xiaoting Li, Jingling Bao, Jianguang Sun, Ji Wang. (2021). Application of DPSIR model in prediction of ecological sustainable development capacity in Bohai Sea. Arabian Journal of Geosciences, 14(7) https://doi.org/10.1007/s12517-021-06866-1.
2. J. Y. He, P. W. Chan, C. W. Choy, P. Cheung, Y. W. Chan, C. C. Lam, Y. H. He, P. Rong, H. Su, Z. M. Li. (2024). Multi‐Platform Observations of Severe Typhoon Koinu. Earth and Space Science, 11(3) https://doi.org/10.1029/2023EA003366.
3. Xijia Fan. (2021). The evolution of urban image environment innovation ability—based on the perspective of marine animal and plant protection. Arabian Journal of Geosciences, 14(7) https://doi.org/10.1007/s12517-021-06966-y.
4. Chun-wing Choy, Man-chi Wu, Tsz-cheung Lee. (2020). Assessment of the damages and direct economic loss in Hong Kong due to Super Typhoon Mangkhut in 2018. Tropical Cyclone Research and Review, 9(4), p.193. https://doi.org/10.1016/j.tcrr.2020.11.001.
5. Zongkai Jiang, Yuxuan Wang, Yongqin Mao, Kai Zang, Wei Sun, Tianjiao Liu. (2021). The relationship between paleoclimate change and paleosedimentary environment identification in coastal areas. Arabian Journal of Geosciences, 14(7) https://doi.org/10.1007/s12517-021-06870-5.
6. Mingyang Qv, Huaqi Chai, Zhiguang Li. (2021). Coupling research on the two-way development of marine ecological civilization and urbanization in coastal cities. Arabian Journal of Geosciences, 14(8) https://doi.org/10.1007/s12517-021-06992-w.
Dimensions
PlumX
Article abstract page views
Downloads
License
Copyright (c) 2019 Earth Sciences Research Journal
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Earth Sciences Research Journal holds a Creative Commons Attribution license.
You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.