• Journal of the Korean Society of Marine Environment & Safety
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• v.13 no.4
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• pp.15-19
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• 2007

Mass mortalities of the farmed sea squirt, Halocynthia roretzi, occurred in August, 2006 along the Gyeongbuk coasts of the East Sea without any pathological symptom. Suspecting the No. 10 typhoon, Wukong, which had passed over the relevant locations in the middle of August, 2006 as a culprit of the mortalities, we compared water temperature stratifications of the affected coasts before and after the typhoon. Just prior to the typhoon, cold waters lower than $15^{\circ}C$ were stratified at depths deeper than 10m probably by a persisting upwelling of cold bottom waters. The typhoon enforced water off-coast waters into coasts for 5 days, replacing the cold waters at depths $10{\sim}20m$ which can be justified by Ekman Spiral Effect. The results were an increment of water temperature by $10^{\circ}C$ and more at depths where sea squirts were suspended. The sudden elevation of water temperature might drive the sea squirts under abnormal stress to mass mortality.

• Journal of The Korean Association For Science Education
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• v.28 no.6
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• pp.649-663
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• 2008

The purpose of this study was to compare the processes of making hypotheses concerning the anomalous path of Wukong, a typhoon that came close to Korea recently, between an earth scientist and undergraduate students. Data were obtained through interviews with a practicing earth scientist as well as five undergraduate students. Inquiry reports of the students were also analysed. The result showed that while the earth scientist conducted a case study with already-established models of typhoon, the students were enabled to work on the specific case of Wukong only after they learned general theories on typhoons. Background knowledge played an important role for the scientist and students to formulate scientific hypotheses. Both the earth scientist and undergraduate students generate multiple working hypotheses, and they considered a couple of conditions to select more plausible hypotheses, including theoretical coherence, causative processes, and consistency with empirical data. Despite these similarities, there were differences in the scope and depth of background knowledge between the scientist and students. In addition, it was not likely that the undergraduate students possessed explicit perceptions of the conditions which could make a hypothesis more probable, except for the empirical consistency. Implications for science education and relevant research were discussed.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2006.11a
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• pp.477-480
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• 2006

본 논문에서는 한국 동해 강구항 전면해역에서 계절풍이 탁월한 3월과 태풍 우쿵(WUKONG) 내습시 8월에 수압식 파고계를 이용하여 파랑관측을 실시하였다. 관측파랑자료의 해석을 통해 관측시점에서의 계절풍 및 대풍내습시의 기상현황과 파랑과의 상호관련성, 발생파랑의 통계적 특성을 분석하였다. 그 결과에 따르면 관측기간동안 강구항 전면해역에서는 직립방파제 설계식의 관계식 $H_{max}\;=\;1.8H_S$를 초과하는 고파랑이 태풍 내습시 발생하며, 계절풍이 발달한 시기에는 약 3m 파고의 파랑이 발생하였다.

• Journal of fish pathology
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• v.22 no.2
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• pp.155-162
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• 2009

The mass mortality of Korean rockfish, Sebastes schlegeli that occured at the fish farms in Tongyeong and Geoje City regions between late August and early September in 2006 was investigated. Sixty two fish showed no significant external symptoms except ulcerative lesions with reddish foci on the skin. From the internal observations and diagnosis results, some yellowish brown liver, intestine bleeding, atrophy and congestion in the abdominal cavity of the fish were found. In the gill, swelled filaments caused by foreign material accumulation and mucus secretion were observed. However, the main cause of the fish mass mortality in both sampling regions could be due to physiological weakness induced by significant change of water temperature causing by typhoon Wookong during the summer in 2006.

• Atmosphere
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• v.20 no.3
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• pp.287-306
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• 2010

An ensemble Kalman filter (EnKF) with Weather Research and Forecasting (WRF) Model is applied for Typhoon Wukong (200610) to investigate the performance of ensemble forecasts depending on experimental configurations of the EnKF. In addition, the ensemble sensitivity analysis is applied to the forecast and analysis ensembles generated in EnKF, to investigate the possibility of using the ensemble sensitivity analysis as the adaptive observation guidance. Various experimental configurations are tested by changing model error, ensemble size, assimilation time window, covariance relaxation, and covariance localization in EnKF. First of all, experiments using different physical parameterization scheme for each ensemble member show less root mean square error compared to those using single physics for all the forecast ensemble members, which implies that considering the model error is beneficial to get better forecasts. A larger number of ensembles are also beneficial than a smaller number of ensembles. For the assimilation time window, the experiment using less frequent window shows better results than that using more frequent window, which is associated with the availability of observational data in this study. Therefore, incorporating model error, larger ensemble size, and less frequent assimilation window into the EnKF is beneficial to get better prediction of Typhoon Wukong (200610). The covariance relaxation and localization are relatively less beneficial to the forecasts compared to those factors mentioned above. The ensemble sensitivity analysis shows that the sensitive regions for adaptive observations can be determined by the sensitivity of the forecast measure of interest to the initial ensembles. In addition, the sensitivities calculated by the ensemble sensitivity analysis can be explained by dynamical relationships established among wind, temperature, and pressure.