• Journal of Korean Society of Coastal and Ocean Engineers
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• v.28 no.2
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• pp.101-108
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• 2016

In designing of the wind power facilities, the highest and lowest astronomical tides (HAT and LAT) are needed in terms of an international design tidal water levels. The AHHW and ALLW, however, have been used as the design tidal levels in Korea. The HAT and LAT in the Wido coastal sea should be estimated to satisfy the standard because the pilot wind power facilities will be located in the adjacent Wido coastal sea. In this study, the HAT and LAT are estimated using the 31-years hourly tidal elevation data of the Wido tidal gauging station and the nodal variation patterns of the major lunar components, such as $M_2$, $O_1$, and $K_1$, are analysed to check the expected long-term lunar cycle, i.e., 18.61-year's nodal variation patterns. The temporal amplitude variations of the $M_2$, $O_1$, and $K_1$ clearly show the 18.61-years periodic patterns in case of the no-nodal correction condition. In addition, the suggested HAT and LAT elevations, estimated as the upper and lower confidence limits of the yearly HAT and LAT elevations, show 40 cm greater than AHHW and 35 cm lower than ALLW, respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.276-283
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• 2018

Climate changes consistently cause coastal accidents such as coastal flooding, so the studies on monitoring the marine environments are progressing to prevent and reduce the damage from coastal accidents. In this paper, we propose a new method to predict the sea level which can be applied to coastal monitoring systems to observe the variation of sea level and warn about the dangers. Existing sea level models are very complicated and need a lot of tidal data, so they are not proper for real-time prediction systems. On the other hand, the proposed algorithm is very simple but precise in short period such as one or two hours since we use the measured data from the sensor. The proposed method uses Kalman filter algorithm for harmonic analysis and double exponential smoothing for additional error correction. It is shown by experimental results that the proposed method is simple but predicts the sea level accurately.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.4
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• pp.469-476
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• 2022

This study developed a Recurrent Neural Network model implemented through Long Short-Term Memory (LSTM) that generates long-term tidal level data at Busan Port using tide observation data. The tide levels in Busan Port were predicted by the Korea Hydrographic and Oceanographic Administration (KHOA) using the tide data observed at Busan New Port and Tongyeong as model input data. The model was trained for one month in January 2019, and subsequently, the accuracy was calculated for one year from February 2019 to January 2020. The constructed model showed the highest performance with a correlation coefficient of 0.997 and a root mean squared error of 2.69 cm when the tide time series of Busan New Port and Tongyeong were inputted together. The study's finding reveal that long-term tidal level data prediction of an arbitrary port is possible using the deep learning recurrent neural network model.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.367-372
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• 2008

본 연구는 감조하천에서 조위의 영향을 크게 받는 저 평수위의 수위-유량관계곡선식 개발의 한계를 극복하기 위해 조위의 영향을 고려한 다변수 복합 수위-유량관계곡선식을 개발하였다. 곡선식 개발은 수위-수면차-수위차-유량의 관계를 통해 지수형 곡선식을 개발하였다. 여기서 수면차는 조위와 수위와의 차이며, 이때 조석파의 전파시간에 대한 지체시간을 고려하였다. 수위차는 대상 수위관측소의 전 시간과의 수위차이다. 또한 조위에 의해 발생되는 역유량 자료를 이용한 지수형 곡선식을 개발하고자 유량 조정변수를 추가하였다. 개발된 수위-유량관계곡선식을 한강대교에 적용하여 자동유량측정시설에서 측정된 유량자료와 비교 검토한 결과 경향성에서 일치하였으며, (-)유량의 산정도 가능하였다. 분석기간내의 총 유출량 검토 결과 8.3%의 오차를 보여 본 과업에서 제시된 복합 수위-유량관계곡선식의 적정성을 파악할 수 있었다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.19 no.6
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• pp.561-569
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• 2013

EOF analysis of tidal residual derived from 2003~2009 tide data was used to identify the spatio-temporal variability. The effect of sea surface air pressures and winds on the tidal residual was also investigated by the correlation analysis. The first mode accounting for 68 % of the total variance represented concurrent sea level rise or fall, and the second mode accounting for 21 % of the total variance explained alternative sea level rise and fall between West Sea coast and both South Sea and East Sea coasts. While northerly and southerly winds dominated the tidal residual in the eastern coast of Yellow Sea, the effect of sea surface air pressures on the tidal residual increased along the coastal regions from South Sea to East Sea.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.4B
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• pp.365-376
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• 2009

The importance of resonable treatment of tide characteristics has been shown by Kweon, et al. (2005, 2006) for the crest elevation estimation because of a big difference of tidal elevation along Korean coast. For the procedure of crest elevation design, the expected overtopping probability (EOP) was estimated by Kweon, et al. (2006). The comparisons on each sea showed that EOP was lower east, south and west sea in order. The results involved the assumption that the tide and design level wave height meet any time in a year. However, big waves mainly occur in summer or winter in Korean coast, the study focuses on the encounter probability of big waves and seasonal tide level. A theory of the encounter probability is not derived by the present study but it shows reasonable acceptability of the proposed scenario in which the expected overtopping probability could be an index for the crest elevation estimation in Korean coast. The calculation based on the scenario gives the possibility range for the crest elevation estimation which has no tendency of each sea along Korean peninsular. The range is within the expected overtopping probability of 1% in the whole coast of Korea.

• Journal of Korea Water Resources Association
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• v.47 no.9
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• pp.753-766
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• 2014

The future mean sea level rise (MSLR) due to climate change in major harbors of Korean Peninsula has been estimated by some statistical methods in this article. Firstly, Mann-Kendall non-parametric trend test to find some trend in the observed long-term tidal data has been performed and also Bayesian change point analysis has been used also to detect the location of change points and their magnitude quantitatively. Especially, in this study, the results from Bayesian change point analysis have been applied to combine 4 future MSLR scenario projections with local MSLR data at 5 tidal gauges. This proposed procedure including Bayesian change point analysis results can improve the step for the determination of starting years of future MLSR scenario projections with 18.6-year lunar node tidal cycle and effectively consider local characteristics at each gauge. The final results by the proposed procedure in this study have shown that the future MSLR in Jeju region (Jeju tidal gauge) is in the largest increment and also the future MSLRs in Western region (Boryeong tidal gauge) and Southern region (Busan tidal gauge) are in the second largest one. Finally, it has been shown that the future MSLRs in Southern region (Yeosu tidal gauge) and Eastern region (Sokcho tidal gauge) seem to be in the relatively smallest growth among 5 gauges.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.1006-1010
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• 2005

본 연구는 1차원 부정류 해석모형인 FLDWAV 모형을 이용하여 댐방류 또는 상류지점의 지류유입유량과 하류단의 조위에 따른 영향이 낙동강 하류 홍수위에 미치는 영향을 해석하고, 이를 GUI 시스템과의 연계를 통한 효율적인 홍수관리시스템을 구축하는데 있다. 또한 수리학적 모형수행을 위한 입력자료가 될 수 있는 수문학적 모형과의 연계방법을 제시하였으며 예측조위와 하구둑 방류량을 고려한 합리적인 하류경계조건을 지정하기 위해 회귀방정식에 의한 하류부 예측조위산정방법을 제시하였다. 본 연구에서는 적포교 수위관측소를 기점으로 하여 낙동강 하구둑까지 110km를 대상구간으로 설정하였다. 상류경계조건으로는 적포교지점의 유입량과 남강, 밀양강, 양산천 등의 지류유입량 등을 현재 한국수자원공사에서 적용하고 있는 KOWACO 홍수분석모형에 의해서 산정하였다. 또한 하류경계조건은 하구둑 내수위의 실측자료를 이용하였으며 향후 예측을 위한 적용성을 위해서 하구둑의 유입량과 예측조위조건의 상관성을 이용하여 회귀식을 산정하였다. 또한 해석결과의 효율적인 도시를 위해서 홍수추적 모형과 연계한 GUI 시스템을 구축하였다. 과거 발생한 홍수사상에 대해서 적용한 결과 실측치와 관측치가 유사한 수위 거동을 나타내고 있었다. 본 연구의 결과를 이용하여 다른 수계에서도 홍수예경보시스템의 구축을 위한 수리학적 모형과 수문학적 모형의 연계를 통한 좀더 신뢰성있고 정확한 해석결과를 제시할 수 있을것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1619-1623
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• 2008

현재 섬진강 수계에서는 댐방류에 따른 하류하천의 하도추적은 수문학적 모형에 의해 운영되고 있으나, 하구의 조위 및 하천내 존재하는 수공구조물의 영향 그리고 지류에 의한 흐름분석을 위해서는 정교한 수리학적 모형이 필요하게 된다. 섬진강으로 유입하는 대표수계는 경천, 요천, 그리고 보성강이 있으며, 보성강의 상류에는 주암댐이 보성강의 유하량을 조절하게 되는 데 이를 반영한 모형구축을 지속적으로 수행할 예정이다. 또한 섬진강 하구유역에서는 조위에 의해 본류의 홍수위가 영향을 받게 되므로 이에 대한 영향도 분석하였다. 섬진강 하구에서는 여수관측소와 광양조위지점이 있는데, 두 지점 모두 일년치의 예측이 가능하게 되며 여수지점에서는 실시간 조위관측이 수행되고 있기 때문에 향후 두 지점의 조위결과값을 이용한 최적의 조위산정방법을 결정하게 된다. 본 모형은 하천에서 발생하는 부정류 수리학적 해석모형에 의해 다양한 수행결과를 제시하게 된다. 각각의 관측수위표지점과 비교한 결과 전체적인 경향에서는 합리적인 결과를 나타냄으로서 모형의 적합성을 확인할 수 있었다. 본 연구를 통하여 대상구간의 전체하도에 대한 적용절차 및 분석기법 등을 참조하여 다른 수계로의 확장이 가능하게 되었다. 단면변환 및 경계조건 산정방법, 모형의 수행 및 결과 분석 등이 댐방류 또는 지류의 유입을 고려한 합리적인 하천관리를 위한 방향을 제시할 것으로 판단된다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.23 no.6
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• pp.496-501
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• 2011

The missing data patterns of tidal elevation data in Korean coasts are analysed and provided. The missing interval of the data is displayed for all stations using the missing data indicator matrix in order to identify the overall missing pattern. The spatial and temporal missing rates are also estimated. The total missing rate of tidal elevation data is low. However, most of the missing is mainly derived from just 1 or 2 specific stations. The autocorrelation function of the consecutive missing interval data also shows that the missing interval occurs randomly.