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http://dx.doi.org/10.9765/KSCOE.2016.28.1.53

Generation of a Standard Typhoon using for Surge Simulation Consistent with Wind in Terms of Return Period  

Kang, Ju Whan (Dept. of Civil Engineering, Mokpo National University)
Kim, Yang-Seon (Dept. of Civil Engineering, Mokpo National University)
Kwon, Soon-Duck (Dept. of Civil Engineering, Chonbuk National University)
Choun, Young-Sun (Korea Atomic Energy Research Institute)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.28, no.1, 2016 , pp. 53-62 More about this Journal
Abstract
Extreme wind speeds at four sites including Mokpo, Gunsan, Incheon and Jeju near the Western Coast have been estimated with a tool of Monte Carlo simulation and typhoon data. Results of sensitivity analysis show that closeness between distance to the eye and the radius to maximum wind is most sensitive. While location angle and pressure deficit are sensitive too, but translation velocity is not. A standard typhoon, which results in extreme wind speeds having various return period, can be constructed by combination of parameter informations of each site. Then, with a numerical modelling of the typhoon, extreme surge heights having the same return period can also be obtained. To be added, by analysing the data which only including those based on navigable semicircle, it is possible to produce a standard typhoon which could result in setting-down of sea level.
Keywords
standard typhoon; sensitivity analysis; return period; monte carlo simulation; western coast;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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1 Kim, S.-C., Kim, Y.S. and Yang, Y.-T. (2005). Assessment of severe local storm risks in Ulsan area using Monte Carlos typhoon simulation method and CFD model, Journal of the Wind Engineering Institute of Korea, 9(1), 45-54.
2 Ko, D.H., Jeong, S.T., Cho, H. and Kang, K.S. (2014). Extreme offshore wind estimation using typhoon simulation, Journal of Korean Society of Coastal and Ocean Eng., 26(1), 16-24. (in Korean)   DOI
3 Kwon, S.-D. and Lee, J.-H. (2008). Estimation of extreme wind speeds in Southern and Western Coasts by typhoon simulation, Journal of Korean Society of Civil Eng., 28(4A), 431-438. (in Korean)
4 Lee, Y.K., Lee, S.S. and Kim, H.S. (2007). Expectation of extreme wind speed due to typhoon, Proceedings of the Wind Engineering Institute of Korea, Pukyoung National Univ., 1-7.
5 Powell, M., Soukup, G., Cocke, S., Gulati, S., Morisseau-L., N., Hamid, S., Dorst, N. and Axe, L. (2005). State of Florida hurricane loss projection model: Atmospheric science component, Journal of Wind Eng., 93, 651-674.
6 Russell, L.R. (1971). Probability distributions for hurricane effects, Journal of Waterways, Harbors and Coastal Engineering, ASCE, 97(1).
7 Scheffner, N.W., Clausner, J.E., Militello, A., Borgman, L.E., Edge, B.L. and Grace, P.J. (1999). Use and application of the empirical simulation technique; User's guide. US Army Corps of Engineers.
8 Toro, G.R., Resio, D.T., Divoky, D., Niedoroda, A.W. and Reed, C. (2010). Efficient joint-probability methods for hurricane surge frequency analysis. Ocean Engineering, 37, 125-134.   DOI
9 Vickery P.J., and Twisdale, L.A. (1995). Wind field and filling models for hurricane wind-speed predictions, Journal of Structural Engineering, ASCE, 121(11).
10 Batts, M.E., Russell, L.R. and Simiu, E. (1980). Hurricane wind speeds in the U.S., Journal of Structural Engineering, ASCE, 106(10).
11 Cho, K.H. and Kim, S.C. (2009). A study on optimal radius of typhoon selection for Monte Carlos method, Proceedings of the Wind Engineering Institute of Korea, Seoul National Univ., 39-43.
12 Divoky, D. and Resio, D.T. (2007). Performance of the JPM and EST methods in storm surge studies. 10th International Workshop on Wave Hindcasting and Forecasting, and Coastal Hazard Symposium, North Shore, Oahu, Hawaii.
13 Goring, D.G., Stephens, S.A., Bell, R.G. and Pearson, C.P. (2011). Estimation of extreme sea levels in a tide-dominated environment using short data records. Journal of Waterway, Port, Coastal, and Ocean Engineering, 137(3), 150-159.   DOI
14 Holland, G.K. (1980). An analytic model of the wind and pressure profiles in hurricanes, Monthly Weather Review, 108.
15 Kang, J.W. (2015). Typhoon-surge characteristics in relation with the tide-surge interaction, Journal of Korean Society of Coastal and Ocean Eng., 27(1), 25-37. (in Korean)   DOI
16 Kang, J.W., Kim, Y.S., Cho, H.Y. and Shim, J.-S. (2012). Estimation of extreme sea levels at tide-dominated coastal zone, Journal of Korean Society of Coastal and Ocean Eng., 24(6), 185-193. (in Korean)
17 Kang, S.-W., Jun, K.-C., Bang, G.-H. and Park, K.-S. (2002). Empirical relationship between central pressure and maximum sustained wind for tropical cyclones in Northeast Asian Sea, Asia-Pacific Journal of Atmospheric Science, 38(5), 523-530.
18 Kim, D.-W., and Ha, Y.-C. (2004). Estimation of wind speeds for return period in the major cities reflecting the recent meteorological data, Journal of the Wind Engineering Institute of Korea, 8(2), 147-154.
19 Willoughby, H.E., Darling, R.W.R. and Rahn, M.E. (2006). Parametric representation of the primary hurricane vortex. Part II: A new family of sectionally continuous profiles, Monthly Weather Review, 134, 1102-1120.   DOI
20 Vickery P.J., Skerlj, P.F. and Twisdale, L.A. (2000). Simulation of hurricane risk in the U.S. using empirical track model, Journal of Structural Engineering, 67, 152-163.