• Journal of Advanced Marine Engineering and Technology
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• v.35 no.1
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• pp.126-132
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• 2011

With the worldwide trend of controlling the utilization fossil fuels inducing global climate change, many efforts will have to be made on securing stable supply of the energy due to UNFCCC. Tidal currents are a concentrated form of gravitational energy. Tidal current resource is significant, but limited locations. Technical and economic feasibility demonstration is the next needed step in the technology development process. So, we investigated overview of tidal in-stream energy in the sea near Wando, and then analytically estimated tidal energy resources and annual energy output of TECS arrays.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.31 no.6
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• pp.458-467
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• 2019

The purpose of this study is the suggestion of optimized parameters in OI (Optimal Interpolation) by experimental study. The observation of applying optimal interpolation is ADCP (Acoustic Doppler Current Profiler) data at the southwestern sea of Korea. FVCOM (Finite Volume Coastal Ocean Model) is used for the barotropic model. OI is to the estimation of the gain matrix by a minimum value between the background error covariance and the observation error covariance using the least square method. The scaling factor and correlation radius are very important parameters for OI. It is used to calculate the weight between observation data and model data in the model domain. The optimized parameters from the experiments were found by the Taylor diagram. Constantly each observation point requires optimizing each parameter for the best assimilation. Also, a high accuracy of numerical model means background error covariance is low and then it can decrease all of the parameters in OI. In conclusion, it is expected to have prepared the foundation for research for the selection of ocean observation points and the construction of ocean prediction systems in the future.

• Journal of Korea Water Resources Association
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• v.51 no.4
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• pp.335-346
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• 2018

A vast amount of riverine spatial dataset have recently become available, which include hydrodynamic and morphological survey data by advanced instrumentations such as ADCP (Acoustic Doppler Current Profiler), transect measurements obtained through building various river basic plans, riverine environmental and ecological data, optical images using UAVs, river facilities like multi-purposed weir and hydrophilic sectors. In this regard, a standardized data model has been subsequently required in order to efficiently store, manage, and share riverine spatial dataset. Given that riverine spatial dataset such as river facility, transect measurement, time-varying observed data should be synthetically managed along specified river network, conventional data model showed a tendency to maintain them individually in a form of separate layer corresponding to each theme, which can miss their spatial relationship, thereby resulting in inefficiency to derive synthetic information. Moreover, the data model had to be significantly modified to ingest newly produced data and hampered efficient searches for specific conditions. To avoid such drawbacks for layer-based data model, this research proposed a relational data model in conjunction with river network which could be a backbone to relate additional spatial dataset such as flowline, river facility, transect measurement and surveyed dataset. The new data model contains flexibility to minimize changes of its structure when it deals with any multi-dimensional river data, and assigned reach code for multiple river segments delineated from a river. To realize the newly developed data model, Seom river was applied, where geographic informations related with national and local rivers are available.

• Ecology and Resilient Infrastructure
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• v.5 no.3
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• pp.156-162
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• 2018

This research aimed at analyzing comparison results between in gravel and sand bed with respect to the detailed Acoustic Doppler Current Profiler (ADCP) measurement in a velocity, depth, and flow rate data based on Acoustic Doppler Velocimeter (ADV) measurement result. Conclusionally, similar results were shown for gravel and sand bed in velocity, depth and flow rate data using ADV and ADCP measurement. The results of the flow rate show a relative error mean of 3.5 - 4.8% in the gravel bed and 0.02 - 3.2% in the sand bed, which is better performance than the mean error of 5% suggested by United States Geological Survey (USGS). The results can be used as a basis data for the measurement of ADCP and potentially able to be utilized for the more detailed uncertainty analysis of ADCP flow rate measurement.

• Ocean and Polar Research
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• v.36 no.2
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• pp.103-110
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• 2014

A wind-driven current in the East Sea from Lagrangian measurements of wind and current at 15 m using MiniMet drifters was analyzed. Spectral analysis of the current from 217 pieces of a 10 day-long time series shows the dominant energy at the inertial frequency for the current at 15 m. Wind has energy peaks at a 0.2-0.5 cycles per day (cpd) frequency band. The power spectrum of the clockwise rotating component is predominant for the current and was 1.5-2 times larger than the anticlockwise rotating component for wind. Co-spectra between the wind and current show two peak frequency bands at subinertial frequency and 0.5-0.3 cpd. Coherences between the wind and current at those peak frequencies are significant with 95% confidence and phase differences were $90-100^{\circ}$. From the phase differences, the efolding depth is estimated as 17 m and this e-folding depth is smaller than the estimation by Chereskin's (1999) 25 m using a moored Acoustic Doppler Current Profiler and an anemometer installed at the surface buoy. The angle between the wind-driven current (or ageostrophic current) and wind from this study was also much larger than the global estimate by Rio and Hernandez (2003) using reanalysis wind and drifters. The possible explanation for the discrepancy comes from the fact that the current is driven by a wind of smaller length scale than 250 km but the satellite or the reanalysis products do not resolve winds of length scale smaller than 250 km. Large rms differences between Mini-Met and QuickSCAT wind on spatial lags smaller than 175 km substantiate this explanation.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.340-343
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• 2008

The Soya Warm Current (SWC) is a coastal boundary current, which flows along the coast of Hokkaido in the Sea of Okhotsk. Seasonal and subinertial variations in the SWC are investigated using data obtained by high-frequency (HF) ocean radars, coastal tide gauges, and a bottom-mounted acoustic Doppler current profiler (ADCP). The HF radars clearly capture the seasonal variations in the surface current fields of the SWC. The velocity of the SWC reaches its maximum, approximately 1 m/s, in the summer, and becomes weaker in the winter. The velocity core is located 20 to 30 km from the coast, and its width is approximately 50 km. The almost same seasonal cycle was repeated in the period from August 2003 to March 2007. In addition to the annual variation, the SWC exhibits subinertial variations with a period from 10-15 days. The surface transport by the SWC shows a significant correlation with the sea level difference between the Sea of Japan and Sea of Okhotsk for both of the seasonal and subinertial variations, indicating that the SWC is driven by the sea level difference between the two seas. Generation mechanism of the subinertial variation is discussed using wind data from the European Centre for Medium-range Weather Forecasts (ECMWF) analyses. The subinertial variations in the SWC are significantly correlated with the meridional wind component over the region. The subinertial variations in the sea level difference and surface current delay from the meridional wind variations for one or two days. Continental shelf waves triggered by the meridional wind on the east coast of Sakhalin and west coast of Hokkaido are considered to be a possible generation mechanism for the subinertial variations in the SWC.

• Journal of Environmental Science International
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• v.22 no.5
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• pp.591-597
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• 2013

For Kangjeong stream and Akgeun stream in the central part of the southern Jeju Island, on-site discharge estimation was carried out for approximately 10 months (July 2011-April 2012) twice a month on a regular basis by using ADCP (acoustic doppler current profiler) and long term rate of discharge was calculated by using SWAT (soil and water assessment tool) model. The discharge was $0.28-1.30m^3/sec$ for Kangjeong stream and $0.10-1.54m^3/sec$ for Akgeun stream. It showed the maximum in the summer and the minimum in the winter. As a result of parameter sensitivity analysis of SWAT model, CN (NRCS runoff curve number for moisture condition II), SOL_AWC (available water capacity of the soil layer), and ESCO (soil evaporation compensation factor) showed sensitive responses. By using the result, the model was corrected and the rate of discharge was calculated. As a result, the annual discharge rate was 27.12-31.86(%) at the Akgeun basin and 23.55-28.43(%) at the Kangjeong basin.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.699-699
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• 2012

하천 홍수량의 정확한 측정은 홍수 관리, 수자원 관리, 수공구조물의 설계와 시공, 수환경 관리에 있어서 매우 중요한 의미를 지닌다. 따라서 국가는 전문기관을 통하여 국가하천의 홍수량을 정확하게 측정하려는 노력을 하여왔고 이러한 목적에 따라 다양한 홍수량 측정방법이 개발되어 왔다. 전 세계적으로 이러한 움직임을 대변하고 있는 최신의 기술은 ADCP (Acoustic Doppler Current Profiler)를 이용하여 하천을 횡단하면서 유속과 수심을 측정하여 유량을 측정하는 방법이며, 이러한 횡단 유량을 측정하기 위해서 원격으로 조정하는 유량 계측보트를 이용하는 방법이 각광을 받고 있다. 그러나 ADCP를 하천에서 이용할 때 수면 아래 10%, 하상 위 10% 정도는 ADCP를 이용하여 정확하게 유속을 측정하기가 어렵기 때문에 이론적인 가정에 근거한 유량산정 방법을 통하여 구하고 있다. 따라서 최신의 유량측정 방법이라고 하더라도 기본적으로 20% 정도의 유량측정 에러를 포함할 가능성이 많고 실제로도 5-15% 정도의 측정오차를 갖는 것이 일반적이다. 이러한 측정오차를 5% 이내로 줄일 수 있다면 홍수 관리, 수자원 관리, 수공구조물의 설계와 시공 등에서 보다 효율적이고 정확한 관리가 실행될 수 있다. 따라서 본 연구에서는 ADCP와 원격유량계측보트를 이용하여 하천의 홍수량 측정시 유량측정의 정확도를 향상시킬 수 있도록 1) 불규칙한 홍수량 횡단면을 갖는 측정결과로부터 최적 횡단면을 추출하는 기술과 2) 홍수량 측정시 바닥층 유속 프로파일을 산정할 수 있는 최적 유속분포 확정 기술에 대해 연구하고자 하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.462-462
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• 2016

하천의 유량은 다양한 방법으로 측정가능한데 그중에 ADCP(Acoustic Doppler Current Profiler)는 1980년대 말 도입된 이래 현재 국내외에서 광범위하게 사용되고 있고, 그 활용성은 점점 더 커지고 있다. 이러한 이유로 최근 미국, 호주, 뉴질랜드 등에서는 ADCP 측정유량에 대한 품질관리와 생산된 자료에 대한 평가를 통해 신뢰성을 확보하기 위한 방안을 마련하고 있다. 본 연구에서는 ADCP 이동보트법 측정유량에 대한 3개국(미국, 호주, 뉴질랜드)의 품질관리 및 신뢰도 확보 방안에 대한 문헌조사를 수행하였고, 각 방안들에 대하여 7개 항목으로 비교 및 분석하였다. 그리고 분석된 내용을 바탕으로 ADCP 이동보트법 측정유량의 품질평가 방안을 제시하고, 유량조사사업단에서 수행한 ADCP 이동보트법 측정유량 자료(2013년~2014년)를 대상으로 측정유량 품질평가 방안을 적용하여 결과를 품질등급으로 제시하였다. 이 지표는 사용자가 ADCP 이동보트법 측정유량의 품질을 확인하고 신뢰할 수 있게 함으로써 향후 활용성을 더욱 향상 시킬 수 있을 것으로 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.46-46
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• 2018

남강은 낙동강 유역의 중하류에 위치하고 있으며, 낙동강에 우안으로 합류되는 제 1지류이다. 낙동강 본류 하천의 지류하천이지만 국가하천이며, 비교적 큰 유량을 가지고 있다. 낙동강은 본류를 취수원을 이용하고 있어, 남강과 같이 지류 하천유입 이후의 낙동강 본류에 거동이 중요하다. 취수 원수는 정수처리과정에서도 우선적으로 고려해야 하는 인자이다. 따라서 남강이 합류되는 합류에서의 혼합거동은 중요하다. 혼합거동을 보고자 추적자 실험을 수행하였다. 추적자 실험은 공간적으로는 남강과 낙동강의 합류점 부근을 선택하였고, 시간적으로는 계절별, 보 운영 시기별로 실험하였다. 또한 합류부 주변에서의 유량측정과 자연추적자의 농도 측정으로 수행하였다. 낙동강과 남강은 대하천이므로 유량측정을 ADCP(Acoustic Doppler current profiler)을 활용하였으며, 추적자의 농도 추적은 센서를 통해 현장 측정하였다. 또한 영상분석을 하고자 드론도 활용하였다. 추적자 실험 분석을 유량과 추적자 농도 분산 정도를 분석하였다. 이를 활용하여 지류하천인 남강의 합류이후 낙동강 본류의 거동을 분석하였다. 분석한 결과를 바탕으로 남강의 유량시기별 혼합거동은 달라지는 것으로 나타났다. 또한 드론을 활용한 분석도 혼합거동에서 적용할 수 있을 것으로 판단된다. 추적자 실험을 통해 취수 원수의 특성을 분석할 수 있었다. 향후 유량 변화의 따른 남강합류후 낙동강의 혼합거동의 기초자료 자료 활용 될 것으로 판단된다. 또한 취수원수의 특성을 위한 유량별 다기능보 운영 시기별 혼합거동 분석을 위한 추가 실험이 필요할 것 판단된다.