• Proceedings of the KSRS Conference
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• 2008.03a
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• pp.164-169
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• 2008

한국해양연구원에서 수신한 자료인 NOAA 12, 16, 17, 18호등의 Advanced Very High Resolution Radiometer(AVHRR) 센서자료와 국립조사원에서 제공하는 해양실측자료인 정선 관측 자료를 이용하여 두 가지의 알고리즘 적용을 통하여 비교 및 분석을 해보고자 한다. 연구 기간은 2006년 1월부터 4월 자료 중 구름의 영향이 없는 영상에서 실측자료와 동일한 날짜 총 107개의 정점 값을 추출하였다. 위성 자료에서 해수면 온도 추출방법은 split window 방법으로, 고정계수 값을 사용하는 linear algorithm(MCSST), nonlinear algorithm(NLMCSST)을 이용하였다. 연구 지역은 동해, 황해, 남해 지역에 대한 지역별로 두 알고리즘을 비교 적용하였다. 전 해역의 값을 이용하여 위성자료와 실측자료를 비교 분석한 결과 linear algorithm방법의 평균 오차 값은 0.71$^{\circ}C$이고 상관도는 1%이고, nonlinear 방법의 오차 값은 0.35$^{\circ}C$ 상관도는 1%로 나타났다. 해역별로는 linear한 알고리즘을 적용하여 동해는(ES)는 R=1, 오차 값은 0.37$^{\circ}C$ 황해(YS)는 R=0.99 오차 값은 0.125$^{\circ}C$ 남해(SS)는 R=0.99 오차 값은 1.2$^{\circ}C$보였다. nonlinear한 알고리즘을 적용하여 동해는(ES)는 R=1, 오차 값은 0.4$^{\circ}C$ 황해(YS)는 R=0.99 오차 값은 0.13$^{\circ}C$ 남해(SS)는 R=0.99 오차 값은 0.82$^{\circ}C$의 결과를 보여 주었다. 동해와 황해지역은 linear한 알고리즘을 적용한 결과가 실측자료와의 오차 값이 작았고, 남해지역은 linear한 알고리즘을 적용한 결과보다 nonlinear 알고리즘을 적용한 것이 작은 오차 값을 보여주었다. 이는 남해 해역의 자료가 대기의 상태나 다른 영향을 받아 해수면온도 값이 추정된 것으로 보여 진다. 해역별로 최적화된 알고리즘을 적용하여 해수면온도의 산출을 통해서 위성자료의 정밀도 지구환경변화 모니터링 등 많은 연구에 위성자료의 활용이 증대될 것으로 기대한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.5
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• pp.75-83
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• 2023

As part of a study to analyze the excessive camber occurring in prestressed concrete railway bridges, this paper presents a calculation method and analysis results for the creep coefficient which defines the increase in camber of a concrete structure over time. Using the creep coefficient formula of the design code, the coefficient is obtained by applying the climatic conditions (relative humidity and temperature) of 12 regions in Korea. The effects of differences in climatic conditions by region and starting time of load on the creep coefficient are analyzed. In order to properly calculate the creep, most of which occurs in the early stages of loading, a detailed analysis is performed by applying a time step analysis method to consider varying climate conditions through loaded period. The creep coefficient obtained by applying the average climate conditions of the region is similar to the average of the creep coefficients obtained by time step analysis. Through time step analysis, it is shown that the offset and overlap effects of relative humidity and temperature on the creep coefficient and the climate effect at the time of initial loading can be appropriately represented.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.426-426
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• 2023

대설은 일반적으로 해양과 대륙의 온도차가 큰 지역, 바다·호수와 같이 상대적으로 따뜻한 곳이 인접해 있어 기단 변질이 잘 일어나는 지역, 산악에 의해 습윤한 공기가 강제 상승되는 지역에서 자주 발생한다. 우리나라는 찬 대륙고기압 공기가 해수 온도 차로 눈 구름대가 만들어지거나, 고기압 가장자리에서 한기를 동반한 상층 기압골이 우리나라 상공을 통과하면서 대설이 발생한다. 최근 우리나라에서 빈번하게 발생하는 대설피해는 직접피해와 간접피해로 나뉘며, 이에 따라 사회·경제적으로 막대한 피해를 야기한다. 우리나라 대설피해양상은 지역적 특성, 방재 대책, 대처능력 등에 따라 달라지는 것이 특징이며, 지역적으로 다르게 발생하는 대설피해를 효과적으로 대비할 수 있는 연구가 필요하다. 따라서 본 연구에서는 지역적 특성을 고려한 차등화된 대설 피해를 예측하는 연구를 진행하고자 하였다. 본 연구에서는 기상요소 및 사회·경제적 요소 등을 입력자료로 활용하고, DPSIR 분석을 통해 Red Zone, Orange Zone, Yellow Zone, Green Zone으로 위험 등급을 분류 및 등급 별 대설피해 예측기법을 개발하였다. 최종적으로 1994년부터 2020년까지의 과거 대설 피해액 자료와 다중회귀분석을 이용하여 기법을 개발하였고, 기법의 예측력 평가를 위해 RMSE와 RMSE를 표준화한 NRMSE의 두 가지 통계 지표를 사용하여 평가하였다. 모형별 예측력 평가 결과 Yellow 등급 모형이 가장 우수한 예측력을 보였다. 추후 본 연구결과를 통해 대설피해 범위를 예측하는 연구가 진행된다면 사전에 대설피해에 대한 대응방안 수립과 지역별제설 우선순위를 결정할 수 있는 지표가 개발될 것으로 기대된다.

• Korean Journal of Environment and Ecology
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• v.32 no.1
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• pp.97-104
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• 2018

This study investigated the effect of forest type changes in Daegu, the hottest city in Korea, on the land surface temperature (LST). The LST change by forest type was analyzed by 2scene of Landsat TM image from 1990 to 2007. The land cover types were classified into 4 types; forest areas, urban areas, cultivated areas and other areas, and water areas. The forest areas were further classified into the coniferous tree areas and the broadleaf tree areas. The result of the statistical analysis of the LST change according to the forest type showed that the LST increased when the forest was changed to the urban area. The LST increased by about $0.6^{\circ}C$ when a broadleaf tree area was changed to an urban area and about $0.2^{\circ}C$ when a coniferous tree area was changed to an urban area. This was the temperature change as the result of the simple type change for 17 years. The temperature change was larger when considering both cases of the forest type being retained and changed. The LST increased by $2.3^{\circ}C$ more when the broadleaf tree areas were changed to the urban areas than when broadleaf trees were maintained. The LST increased by $1.9^{\circ}C$ more when the coniferous tree areas were changed to the urban areas than when the coniferous tree areas were maintained. The LST increased by $0.4^{\circ}C$ more when the broadleaf tree areas were destroyed than when the coniferous tree areas were destroyed. The results confirmed that the protection of broadleaf trees in urban forests was more effective for mitigating climate change.

• Journal of the Korean GEO-environmental Society
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• v.16 no.5
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• pp.35-42
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• 2015

This is conducted to observe underground temperature and to analyze its change affected by climate condition and soil infiltration in the mountainous area, Yesan region, Chungcheong-namdo province. Additionally, underground temperature change is also simulated using air temperature and soil thermal properties with a numerical model. Soil temperature monitoring data acquired from each depth, 20 cm, 50 cm, and 100 cm, indicates that the data within 50 cm in depth shows peak-shaped big fluctuation directly affected by air temperature and it at 100 cm has open-shaped small fluctuation. Underground temperature variation, a difference between high and low values, during monitoring period is weakly proportional to hydraulic conductivity of the sediment and it is assumed that water plays a part in delivering air temperature in soil. The underground temperature estimated by a numerical model is very similar to the observed data with an average value of 0.99 cross-correlation coefficient. From the result of this study, the aquifer unsaturated hydraulic conductivity of the soil and the groundwater recharge is likely to be able to estimate with underground temperature profile calculated using a numerical model.

• The Bulletin of The Korean Astronomical Society
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• v.25 no.2
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• pp.108-108
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• 2000

• Bulletin of the Korean Space Science Society
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• 2000.10a
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• pp.108-108
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• 2000

• Proceedings of the Korean Society of Crop Science Conference
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• 1980.05a
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• pp.34.1-34.1
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• 1980

• The Bulletin of The Korean Astronomical Society
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• v.16
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• pp.8.2-8.2
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• 1991

• Journal of Animal Science and Technology
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• v.49 no.2
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• pp.269-278
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• 2007

This study was performed to measure the pH, proximate composition, physicochemical properties, changes of protein bands, Hunter color values and endpoint cooking temperature of chicken leg and breast muscles during cooking from 64 to 74℃ with 2℃ increments. Chicken leg had higher pH, moisture and fat contents (%) and lower protein solubility(P<0.05) than chicken breast. Although the cooking losses(CLs, %) of chicken muscles increased with increased cooking temperature, the addition of 2% salt did not affect CL. The redness values of chicken leg without 2% salt were higher than chicken breast, however, the addition of 2% salt reduced the differences of the redness. Protein solubility decreased with increased cooking temperatures and were not affected by the addition of salt, and no further changes were observed higher than 68℃. Protein bands having the molecular weights of 66 and 54kDa were disappeared in the chicken leg at the cooking temperatures of 66～70℃, whereas 66, 54 and 34kDa in the chicken breast. These protein bands could be used potential indicators to determine the endpoint cooking temperature in chicken muscles.