• Journal of Korea Water Resources Association
• /
• v.45 no.7
• /
• pp.631-641
• /
• 2012

In this study, satellite data (MTSAT-1R), a numerical weather prediction model, RDAPS (Regional Data Assimilation and Prediction System) output, ground weather station data, and artificial neural networks were used to improve the accuracy of summer rainfall forecasts. The developed model was applied to the Seoul station to forecast the rainfall at 3, 6, 9, and 12-hour lead times. Also to reflect the different weather conditions during the summer season which is related to the frontal precipitation and the cyclonic precipitation such as Jangma and Typhoon, the neural network models were formed for two different periods of June-July and August-September respectively. The rainfall forecast model was trained during the summer season of 2006 and 2008 and was verified for that of 2009 based on the data availability. The results demonstrated that the model allows us to get the improved rainfall forecasts until lead time of 6 hour, but there is still a large room to improve the rainfall forecast skill.

• Journal of the Korean earth science society
• /
• v.28 no.4
• /
• pp.478-490
• /
• 2007

With groundwater data of seawater intrusion monitoring network in coastal areas of Korea's main land, we analyzed types of seawater intrusion through the coastal aquifer. The data including groundwater level, temperature and electrical conductivity obtained from 45 monitoring wells at 25 watershed regions were evaluated. Based on statistical analysis, correlation analysis and variation type analysis, groundwater levels were mainly affected by rainfall and artificial pumping. About 78% of the monitoring wells showed average temperature higher than $15^{\circ}C$ and about 58% of them showed minimum variations less than $0.2^{\circ}C$. Electrical conductivities showed a large magnitude of variation and irregular characteristics compared with groundwater levels and temperatures. Average electrical conductivities lower than $2,000\;{\mu}S/cm$ were observed at 28 monitoring wells while those of higher than $10,000\;{\mu}S/cm$ were done at 9 monitoring wells. From the cross-correlation analysis, groundwater levels were mostly affected by precipitation while temperature and electrical conductivity showed very low correlation. Meanwhile tidal variations strongly affected the groundwater levels comparing to precipitation. We classified the long-term monitoring data according to variation types such as constant process, linear trend, cyclic variation, impulse, step function and ramp. Impulse type was dominant for variations of groundwater level, which was largely affected by rainfall or artificial pumping, the constant process was dominant for temperature. Compared with groundwater level and temperature, electrical conductivities showed various types like linear trend, step function and ramp. According to the discrepancy of variation characteristics for monitoring data at each well in the same region, periodical analysis of monitoring data is essentially required.

• Electronics and Telecommunications Trends
• /
• v.8 no.2
• /
• pp.92-101
• /
• 1993

광대역 통신망에서 OAM의 기본 원칙은 망요소의 각 인터페이스에 따라 관리엔터티(ME)를 정의하고 ME 단위로 장애개념을 적용하여 이상, 결함, 장애, 고장의 발견 및 복구, 격리 등의 유지보수 엔터티 관리과정을 통하여 관리하므로 망의 전반적인 차원의 서비스 제공에 최소의 영향을 미치게 한다. 광대역 망에서의 OAM 기능은 3개의 계층으로 계층화하므로 망의 진화나 새로운 서비스에 융통성 있는 구조를 제공하는데, 망 OAM 계층은 망 전체의 사용 효율을 극대화하는 데 초점을 맞추고 이에 따라 각 노드들을 통제하며, 노드 OAM 계층은 망 OAM 기능에 의한 통제를 수용하여 처리하며 노드 자체의 관리 기능과 운용보전 기능을 포함하며, 모듈 OAM 계층은 하나의 구현 모듈에 내장된 OAM 기능으로서 경보감시, 시험 및 진단, 관측, 제어, 데이터 관리 등 구체적으로 실현되는 기능을 말한다.

• Journal of Digital Convergence
• /
• v.16 no.12
• /
• pp.293-299
• /
• 2018

The weather has a lot of influence on the cultivation of crops. Weather information on agricultural crop cultivation areas is indispensable for efficient cultivation and management of agricultural crops. Despite the high demand for agricultural weather, research on this is in short supply. In this research, we deal with the production method of agricultural weather in Jeollanam-do, which is the main production area of onions through GloSea5 and deep learning. A deep neural network model using the sliding window method was used and utilized to train daily weather prediction for predicting the agricultural weather. RMSE and MAE are used for evaluating the accuracy of the model. The accuracy improves as the learning period increases, so we compare the prediction performance according to the learning period and the prediction period. As a result of the analysis, although the learning period and the prediction period are similar, there was a limit to reflect the trend according to the seasonal change. a modified deep layer neural network model was presented, that applying the difference between the predicted value and the observed value to the next day predicted value.

• The Bulletin of The Korean Astronomical Society
• /
• v.38 no.1
• /
• pp.70.2-70.2
• /
• 2013

한국천문연구원은 일본국립천문대와 한일공동으로 개발한 한일공동VLBI상관기(KJJVC)의 VLBI 관측자들에게 연구결과를 제공할 수 있는 정상운영을 2013년부터 수행하였다. 한일상관센터(KJCC)에서는 평균 8시간정도 관측한 VLBI 관측자료의 상관처리에 소요되는 시간은 약 2주 정도이며, 데이터 분석가의 확인을 거친 후 담당 PI에게 상관결과를 전달하고 있다. 현재 상관처리는 다양한 관측모드 중에서 연구관측에서 많은 비중으로 차지하고 있는 C5(16MHz 대역폭에 16stream) 모드를 지원하고 있으며, 2013년도에 여러 연구자들의 요구에 대응하기 위해 Wideband(512MHz 대역폭), C1(256MHz 대역폭, 1stream), C2(128MHz 대역폭, 2stream) 모드를 지원할 수 있도록 시스템의 성능을 개선할 예정이다. 또한 일본국립천문대에서는 자기테이프를 사용하고 있는 VERA 관측망에 대해 관측자료의 복사시간 단축, 운영효율을 향상시키기 위해 하드디스크를 채용한 OCTADISK 시스템을 개발하였으며, 한일상관센터에도 동기재생처리장치에 장착된 2대의 OCTADDB를 OCTADISK로 수정작업을 추진하였다. 본 보고에서는 이상에 기술한 것과 같이 한일상관센터의 운영현황과 향후 계획에 대해 자세히 기술한다.

• 한국지구물리탐사학회:학술대회논문집
• /
• 2005.05a
• /
• pp.79-86
• /
• 2005

The apparent source spectrum of the Fukuoka earthquake is estimated at the seismic basement by removing from the observed spectra at Korean seismic stations the path and site responses that were previously revealed through inversion process applied to large spectral D/B accumulated until 2004. The approximate source spectrum is also estimated by using data recorded near the epicenter from various Japanese seismic networks and compared with the Korean source spectrum. The comparison result shows that there is good agreement among source spectra estimated based on the data from seismic networks of Korea at large distances (190km

• Journal of the Korean Geophysical Society
• /
• v.8 no.1
• /
• pp.15-21
• /
• 2005

The apparent source spectrum of the Fukuoka earthquake is estimated at the seismic basement by removing from the observed spectra at Korean seismic stations the path and site responses that were previously revealed through inversion process applied to large spectral D/B accumulated until 2004. The approximate source spectrum is also estimated by using data recorded near the epicenter from various Japanese seismic networks and compared with the Korean source spectrum. The comparison result shows that there is good agreement among source spectra estimated based on the data from seismic networks of Korea at large distances (190 km

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.20 no.1
• /
• pp.47-56
• /
• 2018

Providing high-quality meteorological observation data at sites that represent actual farming environments is essential for useful agrometeorological services. The Automated Agricultural Observing System (AAOS) of the Korean Meteorological Administration, however, has been deployed on lawns rather than actual farm land. In this study, we show the inaccuracies that arise in AAOS data by analyzing temporal and vertical variation and by comparing them with data recorded by the National Center for AgroMeteorology (NCAM) tower that is located at an actual farming site near the AAOS tower. The analyzed data were gathered in August and October (before and after harvest time, respectively). Observed air temperature and water vapor pressure were lower at AAOS than at NCAM tower before and after harvest time. Observed reflected shortwave radiation tended to be higher at AAOS than at NCAM tower. Soil variables showed bigger differences than meteorological observation variables. In August, observed soil temperature was lower at NCAM tower than at AAOS with smaller diurnal changes due to irrigation. The soil moisture observed at NCAM tower continuously maintained its saturation state, while the one at AAOS showed a decreasing trend, following an increase after rainfall. The trend changed in October. Observed soil temperature at NCAM showed similar daily means with higher diurnal changes than at AAOS. The soil moisture observed at NCAM was continuously higher, but both AAOS and NCAM showed similar trends. The above results indicate that the data gathered at the AAOS are inaccurate, and that ground surface cover and farming activities evoke considerable differences within the respective meteorological and soil environments. We propose to shift the equipment from lawn areas to actual farming sites such as rice paddies, farms and orchards, so that the gathered data are representative of the actual agrometeorological observations.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.11-11
• /
• 2021

2018년부터 삼척지역에는 전파강수관측소(X-band 이중편파레이더)가 설치되어 현업 운영 중에 있다. 해당 지역은 영동지역은 산지로 둘러싸여 있어 지형적인 여건으로 지상강우관측망과 기존 대형 강우레이더로도 정확한 강우관측에 한계가 있었다. 설치 이후 전파강수관측소의 품질관리와 최적 관측전략 수립, 분포형 비차등위상차 기반의 강우추정 기법의 적용으로 정량적 추정강우의 정확도가 확보되어 75m의 고해상도 격자강우 정보가 제공되고 있다. 본 연구에서는 이러한 전파강수관측소의 정량적 추정강우를 홍수예보에 활용하기 위해서 강우기반의 하천 수위 예측 기법인 하천흐름계산도표를 개발하였다. 하천흐름계산도표가 개발된 지역은 삼척 전파강수관측소의 관측 반경에 포함되는 삼척오십천 유역이며, 해당지역은 수변공원으로 조성되어 있어 시민의 접근이 용이하여 하천 수위 급상승으로 인해 피해가능성이 높은 지역이다. 2019년과 2020년 호우사례를 대상으로 개발된 하천흐름계산도표에 전파강수관측소의 정량적 추정강우를 적용하여 하천수위 상승 예측성을 평가하였다. 또한 비교대상으로 강우관측소 강우자료와 환경부 대형 강우레이더 강우자료의 적용결과를 함께 비교하였다. 비차등 위상차 기반의 강우추정 기법을 적용하여 산정된 삼척 전파강수관측소의 정량강우는 기존의 강우추정 결과(SRI, CMP_HFC)보다 강우추정 정확도가 향상된 것을 확인하였다. 특히, 10km 관측 반경을 기준으로 분석하면 정확도가 상대적으로 높았다. 삼척 전파강수관측소 추정강우를 하천흐름 계산도표에 적용한 결과, 2020년 9월 7일 호우에 의해 삼척오십천 유역에서 관심수위 초과(10:20), 주의수위 초과(11:20)가 발생하였는데, 삼척 전파강수관측소 추정강우가 관심수위 초과 1시간 50분 전에 수위상승을 예측하였고, 주의수위 초과 30분전에 수위상승을 예측하였다. 이를 통해 개발된 하천흐름계산도표와 삼척 전파강수관측소의 홍수예보 활용 가능성을 확인하였다.

• Geophysics and Geophysical Exploration
• /
• v.11 no.4
• /
• pp.310-317
• /
• 2008

Lg amplitude decrease $Q^{-1}$ is very important because the Lg phase is the largest seismic phase in Korea if hazardous earthquakes occurred at neighbor nations such as Japan and China. Since reliable $Q^{-1}$ from two station method can be obtained by long pair distance of stations or events, we used seismic stations both Korea and Japans recording Korean events. The obtained $Q^{-1}$ values, however, were anomalously high; these misguided values, inconsistent with tectonic activity of Korean Peninsula, seems to be related with high $Q^{-1}$ values of Japan region.