• Asian-Australasian Journal of Animal Sciences
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• 제28권3호
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• pp.442-450
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• 2015

Climate temperature affects animal production. This study was conducted to evaluate whether climatic conditions affect beef carcass characteristics of Korean cattle steers. The monthly carcass characteristics of Korean cattle steers (n = 2,182,415) for 8 yr (2006 through 2013) were collected from the Korean Institute for Animal Products Quality Evaluation. Daily climate temperature (CT) and relative humidity (RH) data were collected from the Korean Meteorological Administration. Weather conditions in South Korea during summer were hot and humid, with a maximum temperature of $28.4^{\circ}C$ and a maximum RH of 91.4%. The temperature-humidity index (THI), calculated based on CT and RH, ranges from 73 to 80 during summer. Winter in South Korea was cold, with a minimum temperature of $-4.0^{\circ}C$ and a wind-chill temperature of $-6.2^{\circ}C$. Both marbling score (MS) and quality grade (QG) of Korean cattle steer carcasses were generally best (p<0.05) in autumn and worst in spring. A correlation analysis showed that MS and QG frequencies were not associated (p>0.05) with CT. Yield grade (YG) of Korean cattle steer carcasses was lowest (p<0.05) in winter (November to January) and highest in spring and summer (May to September). A correlation analysis revealed that YG frequency was strongly correlated ($r{\geq}0.71$; p<0.01) with CT and THI values. The rib eye area, a positive YG parameter, was not associated with CT. Backfat thickness (BT), a negative YG factor, was highest in winter (November and December). The BT was strongly negatively correlated ($r{\leq}-0.74$; p<0.01) with CTs. Therefore, the poor YG during winter is likely due in part to the high BT. In conclusion, YG in Korean cattle steer carcasses was worst in winter. QGs were not associated with winter or summer climatic conditions.

• 설비공학논문집
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• 제28권12호
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• pp.467-476
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• 2016

As the energy saving issues become one of the important global agenda, the building simulation method is generally used to predict the inside energy usage to establish the power-saving strategies. To foretell an accurate energy usage of a building, proper and typical weather data are needed. For this reason, typical weather data are fundamental in building energy simulations and among the meteorological factors, the solar irradiation is the most important element. Therefore, preparing solar irradiation is a basic factor. However, there are few places where the horizontal solar radiation in domestic weather stations can be measured, so the prediction of the solar radiation is needed to arrive at typical weather data. In this paper, four solar radiation prediction models were analyzed in terms of their applicability for domestic weather conditions. A total of 12 regions were analyzed to compare the differences of solar irradiation between measurements and the prediction results. The applicability of the solar irradiation prediction model for a certain region was determined by the comparisons. The results were that the Zhang and Huang model showed the highest accuracy (Rad 0.87~0.80) in most of the analyzed regions. The Kasten model which utilizes a simple regression equation exhibited the second-highest accuracy. The Angstrom-Prescott model is easily used, also by employing a plain regression equation Lastly, the Winslow model which is known for predicting global horizontal solar irradiation at any climate regions uses a daily integration equation and showed a low accuracy regarding the domestic climate conditions in Korea.

• Weed & Turfgrass Science
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• 제3권3호
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• pp.174-182
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• 2014

This paper provides some of the scientific background on how projected environmental conditions could affect weeds and weed management in crops. Elevated $CO_2$ levels may have positive effects on crop competitiveness with $C_4$ weeds, but these are generally outnumbered by $C_3$ species in weed populations. Moreover, higher temperatures and drought will favor $C_4$ over $C_3$ plants. The implementation of climate change adaptation technologies, such as drought-tolerant germplasm and water-saving irrigation regimes, will have consequences for crop-weed competition. Rainfed production systems are thought to be most vulnerable to the direct effects of climate change and are likely to face increased competition from $C_4$ and parasitic weeds. Biotic stress-tolerant crop cultivars to be developed for these systems should encompass weed competitiveness and parasitic-weed resistance. In irrigated systems, indirect effects will be more important and weed management strategies should be diversified to lessen dependency on herbicides and mechanical control, and be targeted to perennial rhizomatous ($C_3$) weeds. Water-saving production methods that replace a weed-suppressive floodwater layer by intermittent or continuous periods of aerobic conditions necessitate additional weed management strategies to address the inherent increases in weed competition. Thus, climatic conditions have a great effect on weed population dynamics all over the world.

• The Plant Pathology Journal
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• 제26권2호
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• pp.178-184
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• 2010

Four major diseases of chili pepper including two fungal diseases, anthracnose (Colletotrichum acutatum) and Phytophthora blight (Phytophthora capsici), and two bacterial diseases, bacterial wilt (Ralstonia solanacearum) and bacterial spot (Xanthomonas campestris pv. vesicatoria), were investigated under future climate-change condition treatments in growth chambers. Treatments with elevated $CO_2$ and temperature were maintained at $720ppm{\pm}20ppm$ $CO_2$ and $30^{\circ}C{\pm}0.5^{\circ}C$, whereas ambient conditions were maintained at $420ppm{\pm}20ppm$ $CO_2$ and $25^{\circ}C{\pm}0.5^{\circ}C$. Pepper seedlings or fruits were infected with each pathogen, and then the disease progress was evaluated in the growth chambers. According to paired t-test analyses, bacterial wilt and spot diseases significantly increased by 24% (p=0.008) and 25% (p=0.016), respectively, with elevated $CO_2$ and temperature conditions. On the other hand, neither Phytophthora blight (p=0.906) nor anthracnose (p=0.125) was statistically significant. The elevated $CO_2$ and temperature accelerated the progress of bacterial wilt by two days and bacterial spot by one day compared to the ambient treatment. Temperature regime studies of the diseases without changes in $CO_2$ confirmed that the accelerated bacterial disease progress was mainly due to the increased temperature rather than the elevated $CO_2$ conditions.

• 설비공학논문집
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• 제23권6호
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• pp.430-440
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• 2011

The purpose of this study was to investigate the interactions between the thermal factors in existing thermal control methods and to find out the control logic that can create more comfortable thermal conditions. For it, four thermal control logics were developed：conventional temperature-based control; temperature-based and humidity-based control; PMV-based control; and TS-based control. Their performance was comparatively tested in the U.S. typical 5-story office building in two climate zones (Detroit, Michigan and Miami, Florida) for two seasons (winter and summer) incorporating IBPT (International Building Physics Toolbox) and Matlab/Simulink. Analysis on the thermal conditions and energy efficiency revealed that each control logic created comfortable conditions for their respective target, i.e., temperature, humidity, PMV or TS, but uncomfortable for others (e.g., temperature-based control logic maintained PMV or TS uncomfortably or vise versa). In addition, energy efficiency was significantly different by logics. In conclusion, it can be said that the overall thermal comfort can be improved by the adoption of the PMV and TS as a target variable and their economical benefits are expected in the hotter climate zones with the reduced cooling and dehumidifying energy consumptions.

• KIEAE Journal
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• 제5권2호
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• pp.19-26
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• 2005

Every site has a different given geometrical and climatic condition, which influenced not only the lifestyle of the humanbeings but also the regional architecture. For example, on a cold region, the reduction of the energy loss is necessary, like an igloo, which has a littlest energy loss at hemisphere. Or on a warm region, the house must be protected thermally from the overheating at the sunshining. like a huge shading. An architectural interpretation in the (extreme) moderate climate, like Korea, has always tried to satisfy the both opposite demands simultaneously. A facade, which divides out- and inside, has an ideal position to lead the regulated regional climatic conditions into the room. The Double Facade System(DFS) is well known as an innovative solution in the european countries, like Germany. It provides an reasonable alternative, which can achieve these goals at the same time. A Double Facade System provides an effective sunshade, which means a cooling energy reduction at the warm season. In addition, it enables a natural ventilation at the cold season with the preheating at the system as well as spring and autumn. An ordinary Single Facade System with a inside or outside sun blind provides a solution just for a specified season, like a summer or winter. But the Double Facade System can deal with the various climatic conditions in the moderate climate.

• 한국태양에너지학회 논문집
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• 제34권5호
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• pp.81-87
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• 2014

According to the domestic construction business will continue stagnant, many domestic construction companies are expanding their business into foreign countries. As results, building design guidelines including HVAC design for foreign countries considering the regional climate conditions are needed. Also, green building design strategies to minimize the heating and cooling load are key issue to win a contract in construction business in the world. In this study, peak heating and cooling loads were calculated for the representative cities in the world : Seoul, St. Petersburg, Singapore and Mecca. The analyzed building was a typical high-rise office building and the building envelope properties, indoor heat gain, residence and operating schedules were same in all cases. Only the weather conditions were different by cases.

• 방사성폐기물학회지
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• 제21권1호
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• pp.149-164
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• 2023

As part of the safety case development for generic disposal sites in Korea, it is necessary to develop generic assessment models using various geosphere-biosphere interfaces (GBIs) and potentially exposed groups (PEGs) that reflect the natural environmental characteristics and the lifestyles of people in Korea. In this study, a unique modeling strategy was developed to systematically construct and select Korean generic biosphere assessment models. The strategy includes three process steps (combination, screening, and experts' scoring) for the biosphere system conditions. First, various conditions, such as climate, topography, GBIs, and PEGs, were combined in the biosphere system. Second, the combined calculation cases were configured into interrelation matrices to screen out some calculation cases that were highly unlikely or less significant in terms of the exposure dose. Finally, the selected calculation cases were prioritized based on expert judgment by scoring the knowledge, probability, and importance. The results of this study can be implemented in the development of biosphere assessment models for Korean generic sites. It is believed that this systematic methodology for selecting the candidate calculation cases can contribute to increasing the confidence of future site-specific biosphere assessment models.

• 한국농림기상학회지
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• 제24권1호
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• pp.35-47
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• 2022

북한의 식량 안보 위기를 개선하기 위해 농자재와 관개시설의 요구도가 적은 감자 재배 면적을 확대하는 것이 유리하다. 특히, 저투입 조건에서 감자의 생산성을 높일 있는 적지를 공간적으로 파악하기 위해 재배 조건과 기후적합도를 동시에 평가할 수 있는 Global Agro-Ecological Zones (GAEZ) 모형을 사용하였다. 본 연구에서는 Global Biodiversity Information Facility (GBIF) 데이터베이스에 수록된 감자 위치 자료를 사용하여 10 km 공간해상도를 가진 GAEZ 모형의 적합도 추정값의 분포를 분석하였다. 그 결과 중간정도에 해당하는 적합도 값인 3,333 이상에서 적합도가 0인 지점을 제외한 감자 위치 지점의 90%가 포함되었다. MODIS-IGBP 토지이용자료와 GAEZ Data Portal에서 제공하는 벼 수량 자료를 사용하여 추정된 감자 재배 후보 지역 중에서 적합도가 임계값 이상을 가진 재배적지를 구분한 결과 저투입 조건에서 추정된 재배적지는 실제 북한의 감자 재배지 공간 분포와 유사한 경향이 있었다. 특히, 군 단위의 재배 면적과 재배적지 면적을 비교하여, 재배규모가 큰 지역에서 재배적지의 면적도 넓은 경향을 보임을 확인하였다. 본 연구에서 제시한 적합도의 임계값을 바탕으로 미래 기후조건에서 추정된 값에 적용하여, 기후변화에 따른 재배지 변동 연구에 기초 자료로 사용될 수 있을 것이다. 또한, 여러 작물의 기후적합도를 함께 고려하여 작부체계를 구성한다면 전반적인 작물 생산성을 높일 수 있을 것으로 사료되었다.

• 환경영향평가
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• 제26권2호
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• pp.114-126
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• 2017

우리나라의 많은 기후변화 관련 영향 평가 연구들이 기상청에서 제공하는 기후변화 시나리오를 이용하고 있지만, 하나의 기후 시나리오로 기후변화의 잠정적인 영향을 정확히 예측하기에는 한계가 있다. 본 연구는 세 가지의 지역적 스케일 - 아시아 대륙, 동아시아 6개국, 대한민국- 을 대상으로 두 가지 대표농도경로 시나리오에서 17개의 지역기후모델을 이용하여 현재와 2070년의 연간 최저 온도와 연간 강수량의 차이를 확인하였다. 대한민국의 경우 최저온도 증가량의 범위는 아시아 규모보다 작았으며 강수량 차이에 대한 편차는 아시아 규모보다 컸다. 최저온도 증가범위는 $1.3^{\circ}C$에서 $5.2^{\circ}C$이며, 연간 강수량 차이는 -42.4 mm (-3.2%) 에서 +389.8 mm (+ 29.6%) 로 기상청의 기후변화 시나리오는 긍정적 기후 시나리오의 예측값에 가까운 것으로 나타났다. 따라서 기후변화 및 관련 영향 평가 연구들은 다양한 기후변화 시나리오를 이용하여 그 예측 범위에 대비할 필요가 있으며, 본 연구 결과에 따라 GFDL-CM3와 INMCM4의 두 가지 기후모델을 이용하여 우리나라의 지구 온난화에 대한 잠정적인 영향을 평가하기를 권한다.