Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Characteristics of Monthly Maximum Wind Speed of Typhoons Affecting the Korean Peninsula - Typhoon RUSA, MAEMI, KOMPASU, and BOLAVEN -

한반도 영향 태풍의 월별 최대풍 특징과 사례 연구 - 태풍 루사·매미·곤파스·볼라벤을 대상으로 -

  • Na, Hana (Department of Atmospheric Environment Information Engineering/Atmospheric Environment Information Research Center, Inje University) ;
  • Jung, Woo-Sik (Department of Atmospheric Environment Information Engineering/Atmospheric Environment Information Research Center, Inje University)
  • 나하나 (인제대학교 대기환경정보공학과/대기환경정보연구센터) ;
  • 정우식 (인제대학교 대기환경정보공학과/대기환경정보연구센터)
  • Received : 2019.04.04
  • Accepted : 2019.04.18
  • Published : 2019.04.30
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Abstract

The present study analyzes the characteristics of 43 typhoons that affected the Korean Peninsula between 2002 and 2015. The analysis was based on 3-second gust measurements, which is the maximum wind speed relevant for typhoon disaster prevention, using a typhoon disaster prevention model. And the distribution and characteristics of the 3-second gusts of four typhoons, RUSA, MAEMI, KOMPASU, and BOLAVEN that caused great damage, were also analyzed. The analysis show that between May and October during which typhoons affected the Korean Peninsula, the month with the highest frequency was August(13 times), followed by July and September with 12 occurrences each. Furthermore, the 3-second gust was strongest at 21.2 m/s in September, followed by 19.6 m/s in August. These results show that the Korean Peninsula was most frequently affected by typhoons in August and September, and the 3-second gusts were also the strongest during these two months. Typhoons MAEMI and KOMPASU showed distribution of strong 3-second gusts in the right area of the typhoon path, whereas typhoons RUSA and BOLAVEN showed strong 3-second gusts over the entire Korean Peninsula. Moreover, 3-second gusts amount of the ratio of 0.7 % in case of RUSA, 0.8 % at MAEMI, 3.3 % at KOMPASU, and 21.8 % at BOLAVEN showed as "very strong", based on the typhoon intensity classification criteria of the Korea Meteorological Administration. Based on the results of this study, a database was built with the frequencies of the monthly typhoons and 3-second gust data for all typhoons that affected the Korean Peninsula, which could be used as the basic data for developing a typhoon disaster prevention system.

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References

  1. Florida Department of Financial Services(FDFS), 2005, Florida public hurricane loss projection model, Engineering Team Final Report Volume I-III, 48.
  2. Franklin, J. L., Black, M. L., Valde, K., 2003, GPS Dropwindsonde wind profiles in hurricanes and their operational implications, J. Weather and Forecasting, 18, 32-44. https://doi.org/10.1175/1520-0434(2003)018<0032:GDWPIH>2.0.CO;2
  3. IPCC, 2015, Climate change 2015: The physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change.
  4. Ju, Y. H., Kim, Y., Park, J. H., 2017, An Analysis of major issues in the inventory system for counting damage on buildings and facilities due to heavy rains and typhoons and a proposal for its improvement, J. Korea Planning Association, 52(3), 237-261.
  5. Jung, W. S., 2015, An Estimation of extreme wind speed of typhoon affecting the damage of public and industrial facilities, J. Environ. Sci. Int., 24(9), 1199-1210. https://doi.org/10.5322/JESI.2015.24.9.1199
  6. Jung, W. S., Park, J. K., Choi, H. J., 2010, An Estimation of amount of damage using the 3-second gust when the typhoon attack, J. Environ. Sci. Int., 19(3), 353-363. https://doi.org/10.5322/JES.2010.19.3.353
  7. Kim, J. S., 2013, On the characteristics of damage scale and risk management system by strong wind speed of typhoon, Master's thesis, Inje University, 109.
  8. Kim, Y. S., Kang, J. W., Shim, J. S., Park, S. J., 2014, Surge aspects with respect to the typhoon characteristics, J. Korean Society of Civil Engineers, 14(10), 1215-1216.
  9. KMA, 2011, Typhoon White Book, 11-1360016-000001-01, 345.
  10. KMA, 2014, Korean Climate Change Assessment Report 2014, ISBN 978-89-954715-3-1, 40.
  11. KMA, 2018, National Typhoon Center, http://typ.kma.go.kr/TYPHOON/index.jsp.
  12. Lee, S. G., 2002, Damage state and countermeasures by typhoon Rusa (Landslide), J. Korea Society of Civil Engineers, 50(10), 40-49.
  13. Malmstadt, J., Scheitlin, K., Elsner, J., 2009, Florida hurricanes and damage costs, Southeastern Geographer, 49(2), 108-131. https://doi.org/10.1353/sgo.0.0045
  14. Oh, J. H., Seo, K. D., Kim, Y. O., 2011, An Analysis of the strength and duration of typhoons affecting the Korean peninsula over the past 60 years, J. Korea Society of Civil Engineers, 31(2), 121-128.
  15. Park, J. K., Jung, W. S., Choi, H. J., 2008, The Study on the Strong wind damage prediction for estimation surface wind speed of typhoon season(I), J. Environ. Sci. Int., 17(2), 195-201. https://doi.org/10.5322/JES.2008.17.2.195
  16. Park, J. K., Kim, B. S., Jung, W. S., Kim, E. B., Lee, D. G., 2006, Changes in statistical characteristics of typhoons affecting Korean peninsula, J. Korean Society for Atmospheric, 16(1), 1-17.
  17. Park, J. K., Lee, B. R., Jung, W. S., 2015, Compatibility for the typhoon damages predicted by Korea risk assessment model input data, J. Environ. Sci. Int., 24(7), 865-874. https://doi.org/10.5322/JESI.2015.24.7.865