• 해양환경안전학회지
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• 제11권2호
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• pp.19-25
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• 2005

VLCC SPM 작업이 주로 이루어지는 외해에서는 기상상태 및 파랑 영향을 많이 받고 있다. 기상악화로 인한 비상 이안시에는 강한 바람과 높은 파고로 도선사의 승선이 불가능하고 예인선을 사용할 수 없는 경우가 대부분이다. 현재 울산항에서는 기상악화로 인한 VLCC의 SPM 비상이안이 빈발하고 있으며, 신항만 건설로 SPM 주위에 방파제가 건설됨에 따라 SPM 이안 선박의 조종영역 기준을 제시할 필요성이 대두되고 있다. 현재 우리나라에는 SPM 설치 기준이 없으며, 외국의 설치기준을 참조하고 있지만, 이 기준들이 일관성 및 근거가 부족한 실정이다. 따라서 울산항의 SPM 비상이안 선박들의 조종영역 실태를 AIS 항해 테이터를 이용하여 파악하고 선박의 조종영역 기준을 제안하고자 한다.

• 한국초지조사료학회지
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• 제43권3호
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• pp.190-198
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• 2023

This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The calculation of damage was the difference between the Dry matter yield (DMY)_normal and DMY_abnormal. The normal climate was set as the 40-year of climate data according to the year of IRG data (1986~2020). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization (WMO) standard. The DMY_normal was ranged from 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

• 한국농림기상학회지
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• 제6권4호
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• pp.235-241
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• 2004

1월의 최저기온을 대상으로 1951년부터 2000년까지 14개 지점의 관측자료를 분석한 결과 11개 지점에서 전반기(1951-1980)에 비해 후반기(1971-2000)의 연차 변이가 오히려 감소한 것으로 나타났다 표준편차로 표현할 경우 제주, 전주, 울릉도를 제외한 나머지 11개 지점에서 많게는 0.35(서울)에서 적게는 0.03(강릉)까지 고르게 연차변이가 감소하였다. 이는 최근의 난동화 경향과 함께 겨울철 최저기온의 연차변이가 더 심해지고 있다는 당초의 예상과 다른 결과이다 연차변이의 공간분포양상은 최저기온의 절대값과 정의 상관을, 관측점의 해발고도와는 부의 상관을 보였다. 이 관계를 이용하여 남한전역의 1월 최저기온 30년 표준 편차 분포도를 작성하였으며, 이를 토대로 재현기간별로 기대되는 전국의 극최저기온 분포도를 제작하여 지역별 동해위험 평가에 이용토록 하였다.

• 한국항해항만학회지
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• 제39권3호
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• pp.157-163
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• 2015

최근 해양안전에 대한 높은 관심과 ICT 기술의 비약적인 발전에 힘입어 선박에 다양한 디지털 장비들을 도입하는 전자항법체계인 e-Navigation이 크게 주목받고 있다. e-Navigation은 해양안전뿐만 아니라, 해양정보 서비스에서 새로운 ICT 패러다임을 제시하고 있다. 이에 본 연구에서는 e-Navigation과 관련하여 IHO에서 제시하는 새로운 범용 수로데이터모델 S-100을 기반으로 표준화된 전자해도 및 해상정보의 융합 서비스를 효율적으로 제공할 수 있는 Shore 기반의 해상정보 서비스 플랫폼을 제안하고자 한다. 제안된 Shore 기반 해상정보 서비스 플랫폼은 기본적으로 전자해도와 날씨, 조류, AIS 정보 등의 센서정보, 그리고 육상지도 정보와의 융합 처리 및 웹 기반 서비스가 가능하다. 또한, 이러한 플랫폼의 웹 서비스는 스마트 폰 또는 웹 패드의 모바일 단말기에서 간단한 WebApp 또는 App을 이용하여 전자해도 및 다양한 해상정보 서비스의 활용을 가능하게 할 수 있다. 끝으로, 제안된 플랫폼은 기존의 S-57 전자해도와 더불어 S-101 표준을 지원할 수 있으며, 웹 서비스 과정에서의 표준과 관련해서는 ISO 19100 시리즈 및 OGC의 공간정보 웹 서비스 표준을 지원한다.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.188-191
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• 2015

This study is based on the data of velocity actually measured at varied the heights in the last 3 years. As mentioned in the World Meteorological Monitoring Plan(World Weather Watch: WWW), using the meteorological data by radiosonde can calculate the probability of velocity greater than 10m/s which is the standard beginning point of non-working condition by wind. The height is divided into sections, with 100m for each section starting from the ocean surface up to 700m high. The data measured at each section could be used for estimating and predicting the probability of non-working days for the construction nearby. For example, the data of Osan region is expected to be applicable for the project located in Seoul which has similar geographical conditions. As comparing the velocity varied with height, non-working days calculated basing on the measured data shows a variation of from -0.3 to +64 days. However, this study use Weibull distribution which considered more reliable, the result is expected to be more useful, as the data was all actually measured in the real conditions.

• 대기
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• 제31권5호
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• pp.525-537
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• 2021

Black ices on road surfaces in winter tend to cause severe and terrible accidents. It is very difficult to detect black ice events in advance due to their localities as well as sensitivities to surface and upper meteorological variables. This study develops a methodology to detect the road sections vulnerable to black ice with the use of road surface temperature data obtained from a mobile road weather observation vehicle. The 7 experiments were conducted on the route from Nam-Wonju IC to Nam-Andong IC (132.5 km) on the Jungang Expressway during the period from December 2020 to February 2021. Firstly, temporal road surface temperature data were converted to the spatial data with a 50 m resolution. Then, the spatial road surface temperature was normalized with zero mean and one standard deviation using a simple normalization, a linear de-trend and normalization, and a low-pass filter and normalization. The resulting road thermal map was calculated in terms of road surface temperature differences. A road ice index was suggested using the normalized road temperatures and their horizontal differences. Road sections vulnerable to black ice were derived from road ice indices and verified with respect to road geometry and sky view, etc. It was found that black ice could occur not only over bridges, but also roads with a low sky view factor. These results are expected to be applicable to the alarm service for black ice to drivers.

• 대기
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• 제26권4호
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• pp.649-663
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• 2016

This study investigates eddy transports in terms of space and time for momentum, heat, and moisture, emphasizing comparison of the results in three reanalysis data sets including ERA-Interim from the European Center for Medium-range Weather Forecasts (ECMWF), NCEP2 from the National Center for Environmental Prediction and the Department of Energy (NCEP-DOE), and JRA-55 from the Japan Meteorological Agency (JMA) during boreal winter. The magnitudes for eddy transports of momentum in ERA-Interim are represented as the strongest value in comparison of three data sets, which may be mainly come from that both zonal averaged meridional and zonal wind tend to follow the hierarchy of ERA-Interim, NCEP2, and JRA-55. Whereas in relation to heat and moisture eddy transports, those of NCEP2 are the strongest, implying that zonal averaged air temperature (specific humidity) tend to follow the raking of NCEP2, ERA-Interim, and JRA-55 (NCEP2, JRA-55, and ERA-Interim), except that transient eddy transports for heat in ERA-Interim are the strongest involving both meridional wind and air temperature. The stationary and transient eddy transports in the context of space and time correlation, and intensity of standard deviation demonstrate that the correlation (intensity of standard deviation) influence the structure (magnitude) of eddy transports. The similarity between ERA-Interim and NCEP2 (ERA-Interim and JRA-55) of space correlation (time correlation) closely resembles among three data sets. A resemblance among reanalysis data sets of space correlation is larger than that of time correlation.

• 한국해양공학회지
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• 제28권3호
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• pp.254-259
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• 2014

The infrared signature of a ship is largely influenced by the ocean environment of the operating area, which has been known to cause large changes in the signature. As a result, the weather condition has to be clearly set for an analysis of the infrared signatures. It is necessary to analyze meteorological data for all the oceans where the ship is supposed to be operated. This is impossibly costly and time consuming because of the huge size of the data. Therefore, the creation of a standard environmental variable for an infrared signature research is necessary. In this study, we compared and analyzed sampling methods to represent ocean data close to the Korean peninsula. In order to perform this research, we collected ocean meteorological records from KMA (Korea Meteorological Administration), and sampled these in numerous ways considering five variables that are known to affect the infrared signature. Specifically, a simple random sampling method for all the data and 1-D, 2-D, and 3-D stratified sampling methods were compared and analyzed by considering the mean square errors for each method.

• 한국도로학회논문집
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• 제18권1호
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• pp.13-21
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• 2016

PURPOSES : In this study, we analyzed the compressive strength characteristics of lean base concrete in relation to changes in the outdoor temperature after analyzing the cold and hot weather temperature standards and calculated the minimum and maximum temperatures when pouring concrete. We examined the rate of strength development of lean base concrete in relation to the temperature change and derived an appropriate analysis formula for FRC base structures by assigning the accumulated strength data and existing maturity formula. METHODS : We measured the strength changes at three curing temperatures (5, 20, and $35^{\circ}C$) by curing the concrete in a temperature range that covered the lowest temperature of the cold period, $5^{\circ}C$, to the highest temperature of the hot period, $35^{\circ}C$. We assigned the general lean concrete and FRC as test variables. A strength test was planned to measure the strength after 3, 5, 7, 14, and 28 days. RESULTS : According to the results of compressive strength tests of plain concrete and FRC in relation to curing temperature, the plain concrete had a compressive strength greater than 5 MPa at all curing temperatures on day 5 and satisfied the lean concrete standard. In the case of FRC, because the initial strength was substantially reduced as a result of a 30% substitution of fly ash, it did not satisfy the strength standard of 5 MPa when it was cured at $5^{\circ}C$ on day 7. In addition, because the fly ash in the FRC caused a Pozzolanic reaction with the progress into late age, the amount of strength development increased. In the case of a curing temperature of $20^{\circ}C$, the FRC strength was about 66% on day 3 compared with the plain concrete, but it is increased to about 77% on day 28. In the case of a curing temperature of $35^{\circ}C$, the FRC strength development rate was about 63% on day 3 compared with the plain concrete, but it increased to about 88% on day 28. CONCLUSIONS : We derived a strength analysis formula using the maturity temperatures with all the strength data and presented the point in time when it reached the base concrete standard, which was 5 MPa for each air temperature. We believe that our findings could be utilized as a reference in the construction of base concrete for a site during a cold or hot weather period.

• 대기
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• 제25권1호
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• pp.19-30
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• 2015

The Ka-band cloud radar (KCR) has been operated by the National Institute of Meteorological Research (NIMR) of Korea Meteorological Administration (KMA) at Boseong National Center for Intensive Observation of severe weather since 2013. Evaluation of data quality is an essential process to further analyze cloud information. In this study, we estimate the measurement error and the sampling uncertainty to evaluate data quality. By using vertically pointing data, the statistical uncertainty is obtained by calculating the standard deviation of each radar parameter. The statistical uncertainties decrease as functions of sampling number. The statistical uncertainties of horizontal and vertical reflectivities are identical (0.28 dB). On the other hand, the statistical uncertainties of Doppler velocity (spectrum width) are 2.2 times (1.6 times) larger at the vertical channel. The reflectivity calibration of KCR is also performed using X-band vertically pointing radar (VertiX) and 2-dimensional video disdrometer (2DVD). Since the monitoring of calibration values is useful to evaluate radar condition, the variation of calibration is monitored for five rain events. The average of calibration bias is 10.77 dBZ and standard deviation is 3.69 dB. Finally, the statistical characteristics of cloud properties have been investigated during two months in autumn using calibrated reflectivity. The percentage of clouds is about 26% and 16% on September to October. However, further analyses are required to derive general characteristics of autumn cloud in Korea.