Browse > Article
http://dx.doi.org/10.9765/KSCOE.2022.34.6.303

Persistence Analysis of Observed Metocean Data in the Southwest Coast in Korea  

Gi-Seop, Lee (Marine Bigdata Center, Korea Institute of Ocean Science and Technology)
Gyung-Sik, Seo (Hyein Engineering & Construction)
Hong-Yeon, Cho (Marine Bigdata Center, Korea Institute of Ocean Science and Technology)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.34, no.6, 2022 , pp. 303-314 More about this Journal
Abstract
The persistence analysis of marine physical environment factors is a basic analysis that must precede the use of sea areas as an analysis required in the coastal engineering such as downtime and design. In this study, the persistence analysis was implemented for wind speed and significant wave height data from four observation points of Deokjeokdo, Oeyeondo, Geomundo, and Geojedo among the marine meteorological observation buoys of the Korea Meteorological Administration. The persistence time means the consecutive time of observation data beyond specific level. The threshold wind speed and significant wave height were set in the range of 1~15 m/s and the range of 0.25~3.0 m, respectively. Then, the persistence time was extracted. As a result of the analysis, the persistence time of wind speed and significant wave height decreased rapidly as the reference value increased. The median persistence times under the maximum reference thresholds were assessed as a maximum of 5 hours for wind speed and a maximum of 8 hours for significant wave height. When the reference wind speed and significant wave height were 15 m/s and 3 m, respectively, the persistence time that could occur with a 1% probability were 52 and 56 hours. This study can be expanded to all coastal areas in Korea, and it is expected that various engineering applications by performing a persistence analysis of the metocean data.
Keywords
metocean data; persistence; wind speed; wave height; level crossing method;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Nunez, P., Garcia, A., Mazarrasa, I., Juanes, J.A., Abascal, A.J., Mendez, F., Castanedo, S. and Medina, R. (2019). A methodology to assess the probability of marine litter accumulation in estuaries. Marine Pollution Bulletin, 144, 309-324.   DOI
2 Panchang, V.G., Jeong, C.K. and Demirbilek, Z. (2013). Analyses of extreme wave heights in the gulf of mexico for offshore engineering applications. Journal of Offshore Mechanics and Arctic Engineering, 135, 031104.
3 Panchang, V.G., Jeong, C.K. and Li, D. (2008). Wave climatology in coastal maine for aquaculture and other applications. Estuaries and Coasts, 31(2), 289-299.   DOI
4 Pontes, M.T., Aguiar, R. and Oliverira, P.H. (2005). A Nearshore wave energy atlas for portugal. J. Offshore Mechanics and Arctic Engineering, 127, 249-255.   DOI
5 Saha, S., Moorthi, S., Pan, H.L., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D., Liu, H., Stokes, D., Grumbine, R., Gayno, G., Wang, J., Hou, Y.T., Chuang, H.Y., Juang, H.M.H., Sela, J., Iredell, M., Treadon, R., Kleist, D., Van Delst, P., Keyser, D., Derber, J., Ek, M., Meng, J., Wei, H., Yang, R., Lord, S., Van Den Dool, H., Kumar, A., Wang, W., Long, C., Chelliah, M., Xue, Y., Huang, B., Schemm, J.K., Ebisuzaki, W., Lin, R., Xie, P., Chen, M., Zhou, S., Higgins, W., Zou, C.Z., Liu, Q., Chen, Y., Han, Y., Cucurull, L., Reynolds, R.W., Rutledge, G. and Goldberg, M. (2010). The NCEP climate forecast system reanalysis. Bulletin of the American Meteorological Society, 91(8), 1015-1058.
6 Smith, H. and Maisondieu, C. (2014). Resource Assessment for Cornwall, Isles of Scilly and PNMI (Tech. Rep. No. April), Task 1.2 of WP3 from the MERiFIC Project, A report prepared as part of the MERiFIC Project "Marine Energy in Far Peripheral and Island Communities".
7 Sobey, R.J. and Orloff, L.S. (1999). Intensity-duration-frequency summaries for wave climate. Coastal Engineering, 36(1), 37-58.   DOI
8 World Bank. (2010). Best Practice Guidelines for Mesoscale Wind Mapping Projects for the World Bank (Tech. Rep.). World Bank. https://www.esmap.org/sites/esmap.org/files/MesodocwithWBlogo.pdf.
9 World Meteorological Organization. (2017). WMO Guidelines on the Calculation of Climate Normals (Tech. Rep.). World Meteorological Organization. https://library.wmo.int/doc-num.php?explnum-id=4166.
10 Acuna, E. and Rodriguez, C. (2004). The treatment of missing values and its effect on classifier accuracy. In Classification, clustering, and data mining applications. Springer, Berlin, Heidelberg, 639-647.
11 Bruijn, W.E., Rip, J., Hendriks, A.J., van Gelder, P.H. and Jonkman, S.N. (2019). Probabilistic downtime estimation for sequential marine operations. Applied Ocean Research, 86, 257-267.   DOI
12 Chakrabarti, S. (2005). Ocean environment. In Handbook of Offshore Engineering, Ocean Engineering Series. vol. 1, Elsevier, 79-131.
13 Cho, H.Y., Jeong, W.M., Baek, W.D. and Kim, S.I. (2012). Analysis of the variation pattern of the wave climate in the Sokcho coastal zone. Journal of Korean Society of Coastal and Ocean Engineers, 24(2), 120-127 (in Korean).   DOI
14 Cieslikiewicz, W. and Paplinska-Swerpel, B. (2008). A 44-year hindcast of wind wave fields over the Baltic Sea. Coastal Engineering, 55, 894-905.   DOI
15 Feng, X., Tsimplis, M.N., Quartly, G.D. and Yelland, M.J. (2014). Wave height analysis from 10 years of observations in the Norwegian Sea. Continental Shelf Research, 72, 47-56.   DOI
16 Global Wind Energy Council. (2020). GWEC Global Wind Report 2019. Global Wind Energy Council: Brussels, Belgium.
17 Graham, C. (1982). The parameterisation and prediction of wave height and wind speed persistence statistics for oil industry operational planning purposes. Coastal Engineering, 6(4), 303-329.   DOI
18 Hyndman, R.J. and Fan, Y. (1996). Sample quantiles in statistical packages. American Statistician, 50, 361-365.    DOI
19 Ingram, D., Smith, G., Bittencourt-Ferreira, C. and Smith, H. (2011). EquiMar: Protocols for the Equitable Assessment of Marine Energy Converters (No. 213380).
20 Jager, W.S., Nagler, T., Czado, C. and McCall, R.T. (2019). A statistical simulation method for joint time series of non-stationary hourly wave parameters. Coastal Engineering, 146, 14-31.   DOI
21 Jeong, C.K., Valsaraj, A. and Velazquez, H. (2015). Global wave persistence study for offshore operation and planning. In International Conference on Offshore Mechanics and Arctic Engineering, American Society of Mechanical Engineers, 56475, V001T01A013.
22 Jeong, W.M., Oh, S.H., Ryu, K.H., Back, J.D. and Choi, I.H. (2018). Establishment of Wave Information Network of Korea (WINK). Journal of Korean Society of Coastal and Ocean Engineers, 30(6), 326-336 (in Korean).   DOI
23 Korea Meteorological Administration (KMA). (2022). MONTHLY REPORT OF MARINE DATA. (Publication Number 11- 1360000-000817-06).
24 Kim, J.G., Kang, B. and Yoon, B. (2014). Analysis of intensityduration-quantity (IDQ) curve for designing flood retention basin. Journal of Korea Water Resources Association, 47(1), 83- 93 (in Korean).   DOI
25 Kim, Y.K., Song, S.K. and Kang, J.E. (2004). Characteristics of concentration variations and synoptic conditions by the lasting time of asian dust. Journal of Korean Society for Atmospheric Environment, 20(4), 465-481 (in Korean).
26 McDowell, J., Jeffcoate, P., Bruce, T. and Johanning, L. (2018). Numerically Modelling the Spatial Distribution of Weather Windows: Improving the Site Selection Methodology for Floating Tidal Platforms. In Proc 4th Asian Wave Tidal Energy Conf.. Taipei, Taiwan.
27 Kuwashima, S. and Hogben, N. (1986). The estimation of wave height and wind speed persistence statistics from cumulative probability distributions. Coastal Engineering, 9(6), 563-590.   DOI
28 Lavidas, G. and Kamranzad, B. (2021). Assessment of wave power stability and classification with two global datasets. International Journal of Sustainable Energy, 40(6), 514-529.   DOI
29 Lavidas, G., Venugopal, V. and Friedrich, D. (2017). Wave energy extraction in scotland through an improved nearshore wave atlas. International Journal of Marine Energy, 17, 64-83.   DOI
30 Millar, D.L., Smith, H.C.M. and Reeve, D.E. (2006). Modeling analysis of the sensitivity of shoreline change to a wave farm. Ocean Engineering, 34(5-6), 884-901.   DOI
31 Ministry of Oceans and Fisheries (MOF). (2021). Plans to strengthen port safety management. p. 302.