Analysis of the Variation Pattern of the Wave Climate in the Sokcho Coastal Zone

속초 연안의 파랑환경 변화양상 분석

  • Received : 2012.03.05
  • Accepted : 2012.04.26
  • Published : 2012.04.30


Exploratory data analysis was carried out by using the long-term wave climate data in Sokcho coastal zone. The main features found in this study are as follows. The coefficient of variations on the wave height and period are about 0.11 and 0.02, respectively. It also shows that the annual components of the wave height and period are dominant and their amplitudes are 0.24 m and 0.56 seconds, respectively. The amount of intra-annual variation range is about two times greater than that of the inter-annual variation range. The distribution shapes of the wave data are very similar to the log-normal and GEV(generalized extreme value) functions. However, the goodness-of-fit tests based on the KS test show as "rejected" for all suggested density functions. Then, the structure of the timeseries wave height data is roughly estimated as AR(3) model. Based on the wave duration results, it is clearly shown that the continuous and maximum duration is decreased as a power function shape and the total duration is exponentially decreased. Meanwhile, the environment of the Sokcho coastal zone is classified as a wave-dominated environment.


wave climate;frequency distribution;seasonal variation;auto-correlation function;cross-correlation function;wave duration


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  2. Long-term Wave Monitoring and Analysis Off the Coast of Sokcho vol.27, pp.4, 2015,
  3. Distribution and Trend Analysis of the Significant Wave Heights Using KMA and ECMWF Data Sets in the Coastal Seas, Korea vol.29, pp.3, 2017,
  4. Analysis of the Long-term Wave Characteristics off the Coast of Daejin vol.27, pp.2, 2015,
  5. Relationship Analysis on the Monitoring Period and Parameter Estimation Error of the Coastal Wave Climate Data vol.25, pp.1, 2013,
  6. Analysis on the Reduction Effects of the Gravity Waves and Infra-Gravity Waves of Detached Submerged Breakwater by Field Monitoring vol.30, pp.2, 2018,


Grant : 연안파랑 관측, 분석 및 장기산출

Supported by : 한국건설교통기술평가원, 한국해양연구원