• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2009년도 추계학술발표대회 논문집
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• pp.26-31
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• 2009

This study was analysed influence of urban higher temperature in Busan about time series analysis of AWS data. The results are as follows. (1) The temperature of Busan show min $13.2^{\circ}C$ ~max $15.8^{\circ}C$ by 50 years, it is on the rise. (2) The seasonal adjustment series, summer appeared min $17.5^{\circ}C$ ~max $28.9^{\circ}C$ with primitive series similarly. The winter was min $-11.4^{\circ}C$ ~max $17.9^{\circ}C$, the minimum temperature was more lowly than primitive series and maximum temperature was more higher than primitive series. The results, seasonal adjustment series is guessed with influence difference urban structural element beside seasonal factor. (3) Regional analytical result, January appeared with range of min 28% ~max 196% of the seasonal factor and August appeared min 90% ~ max 106%. One of the case which is of 100% or more of the seasonal factor January 12nd~17th, August appears at the 15~17th.

• 동아시아식생활학회지
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• 제22권4호
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• pp.423-439
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• 2012

The purpose of this study was to investigate the perception of and preferences for traditional seasonal foods in Deagu & Gyeongbuk. According to surveys, females (51.2%) demonstrated a higher preference level than males (48.8%), and that for 'married' subjects was highest. Most subjects were classified as 'nuclear family', and 55.0% lived in apartment housing. The reason they experienced or gained knowledge of Korean seasonal foods was parents, which accounted for 64.4%. Reasons for liking Korean traditional drinks was 'traditional food', which scored the highest at 62.8%, followed by 'seasonal food' at 30.4%. The most common reason for disliking Korean drinks was 'lack of information'. The perception of and preferences for seasonal foods were 'rice cake soup', which scored the highest (4.85 points), followed by 'Ginseng chicken soup' (4.70 points). As a result, popularization of traditional seasonal food was based on three factors: modernization, simplicity, and awareness, which significantly influence the preference for Korean traditional seasonal foods.

• 복식문화연구
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• 제8권3호
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• pp.374-386
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• 2000

This study investigated the relation between seasonal variation of total clothing weight, room, outdoor temperature and basal metabolic rate in man. The basal metabolic rate and total clothing weight, room temperature was determined seasonal for a period of two years and grouped four seasons. Subjects (adults volunteers) who live in seoul and mokpo were compose 120 subject The results were obtained as follows. Seasonal outdoor temperature was difference of seoul and. mokpo. But room temperature in apartments was a little difference than private house. Total-clothing weight is showed seasonal variations at the seoul, private house than at the mokpo, apartment.. The basal metabolic rate is suggested there in gender difference in the basal metabolic rate (P〈.001). The basal metabolic rate increased gradually with the peak of winter sespectively and deceased again todward summer. The difference of between basal metabolic rate in summer and winter was significant room temperature, of seoul and private house, and light total clothing weight.

• 한국수산과학회지
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• 제35권5호
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• pp.463-468
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• 2002

본 연구는 계절적으로 다른 수온에 순화되어 있는 패류에 대한 승온 효과를 분별하고 특히 시기별로 성장이 다른데 따른 승온 효과를 판별하기 위해 수행하였다. 실험 동물은 남해안 산 참굴, Crassostna gigas, 바지락, Ruditapes philippinarum 및 진주담치, Mytilus edulis의 3종이었으며 각 계절별로 채집하여 순화되어 있는 계절 수온과 순화 온도보다 4, 7 및 $10^{\circ}C$와 3, 6 및$ 9^{\circ}C$로 승온시킨 실험 해수에서 표준산소소비량과 여수량을 측정하였다. 생활사로 보아 가을에 치패기에 있는 참굴은 $14^{\circ}C$ 순화 수온 이상의 수온상승은 오히려 생리적 저해를 주었고 순화 수온이 $7^{\circ}C$인 겨울에는$ 9^{\circ}C$의 승온도 효과적이었다. 그러나 성재에서 여름에 순화 수온 $24^{\circ}C$ 이상의 승온은 저해를 주었다. 봄에 치패기에 있는 바지락은 순화수온보다 $6^{\circ}C$의 승온도 효과가 현저하였으나 그 이상의 수온 상승은 오히려 저해를 주었고 가을과 겨울에는 순화수온보다 온도가 $9^{\circ}C$까지 승온되어도 현저히 효과적이었다. 그러나 여름에는 순화수온 $24^{\circ}C$ 이상의 승온은 현저한 저해영향을 주었다. 진주담치는 봄 치패기에 순화수온보다 $3^{\circ}C$ 승온은 매우 효과적이었으나 그 이상 수온 상승은 저해를 주었다. 여름과 가을의 순화수온보다 높은 수온상승은 영향이 경미하였으며, 겨울에는 승온되어도 별다른 승온 효과를 보이지 않았다. 이상으로 보아 온배수의 승온 효과는 패류의 생활사 중 겨울에는 매우 효과적이었으나 치패기에 있어서는 순화 수온 보다 다소 높은 수온 상승도 오히려 저해 영향을 줄 수 있는 것으로 나타났다.

• 한국해안해양공학회지
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• 제6권3호
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• pp.309-325
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• 1994

알라스카 만의 해수순환은 바람응력의 큰 계절적 변동에도 불구하고 큰 변화를 보이지 않는다. 그 역학적 원인을 알아보기 위해 일련의 수치모델 실험을 행하였다. 먼저, 관측밀도장으로부터 구한 진단모델 결과에 의하면 알라스카 난류의 계절적 변동은 거의 없으며, 여러 종류의 예보모델 결과에 의하면 해저지형과 경압성이 바람의 계절변동에 대한 해양반응에 영향을 미침을 보여준다. 모델 결과의 비교에 의해 경압해양의 바람의 계절변동에 대한 반응은 주로 순압성이며 순압 해수순환은 해저지형의 분만효과에 의해 약해지기 때문에 해수순간의 계절적 변동이 거의 나타나지 않는다.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 2002년도 춘계공동학술발표회요약집
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• pp.411.2-411
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• 2002

• Ocean Science Journal
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• 제43권4호
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• pp.175-182
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• 2008

Bottlenose dolphins are the only cetaceans regularly observed in the northern Adriatic Sea, but they survive at low densities and are exposed to significant threats. This study investigates some of the factors that influence habitat use by the animals in a largely homogeneous environment by combining dolphin data with hydrological and physiographical variables sampled from oceanographic ships. Surveys were conducted year-round between 2003 and 2006, totalling 3,397 km of effort. Habitat modelling based on a binary stepwise logistic regression analysis predicted between 81% and 93% of the cells where animals were present. Seven environmental covariates were important predictors: oxygen saturation, water temperature, density anomaly, gradient of density anomaly, turbidity, distance from the nearest coast and bottom depth. The model selected consistent predictors in spring and summer. However, the relationship (inverse or direct) between each predictor and dolphin presence varied among seasons, and different predictors were selected in fall. This suggests that dolphin distribution changed depending on seasonal forcing. As the study area is relatively uniform in terms of bottom topography, habitat use by the animals seems to depend on complex interactions among hydrological variables, caused primarily by seasonal change and likely to determine shifts in prey distribution.

• 대한자원환경지질학회:학술대회논문집
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• 대한자원환경지질학회 2000년도 춘계공동학술발표회
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• pp.247-248
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• 2000

• 대기
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• 제26권1호
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• pp.35-45
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• 2016

Initialization of the global seasonal forecast system is as much important as the quality of the embedded climate model for the climate prediction in sub-seasonal time scale. Recent studies have emphasized the important role of soil moisture initialization, suggesting a significant increase in the prediction skill particularly in the mid-latitude land area where the influence of sea surface temperature in the tropics is less crucial and the potential predictability is supplemented by land-atmosphere interaction. This study developed a new soil moisture initialization method applicable to the KMA operational seasonal forecasting system. The method includes first the long-term integration of the offline land surface model driven by observed atmospheric forcing and precipitation. This soil moisture reanalysis is given for the initial state in the ensemble seasonal forecasts through a simple anomaly initialization technique to avoid the simulation drift caused by the systematic model bias. To evaluate the impact of the soil moisture initialization, two sets of long-term, 10-member ensemble experiment runs have been conducted for 1996~2009. As a result, the soil moisture initialization improves the prediction skill of surface air temperature significantly at the zero to one month forecast lead (up to ~60 days forecast lead), although the skill increase in precipitation is less significant. This study suggests that improvements of the prediction in the sub-seasonal timescale require the improvement in the quality of initial data as well as the adequate treatment of the model systematic bias.

• 농촌의학ㆍ지역보건
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• 제26권1호
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• pp.115-119
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• 2001

사회적 통계 작성할 때 계절변동효과는 자료에 많은 영향을 미친다. 농촌의 의료기관에 내원한 환자들의 수도 계절에 영향을 많이 받는다. 1994년에서 2000년까지 농촌 보건지소에 내원한 환자 수를 분석하여 계절지수를 구하였다. 의료고유의 요인을 제거하기 위하여 감기 환자를 제외하고 계절지수를 구하였다. 각각의 계절지수는 다음과 같다. 1. 전체지수는 1월에서 12월 0.96, 1.08, 1.23, 0.83. 0.82, 0.75, 1.01, 0.99, 1.02, 1.05, 1.13, 1.13이다. 2. 감기환자를 제외한 지수는 0.94, 0.90. 1.42, 0.94, 0.91, 0.77, 1.13, 0.92, 0.84, 1.07, 1.10, 1.06이다. 위의 결과를 보면 봄, 초여름에 환자 수가 감소하고 한여름과 겨울에 환자가 증가한다. 이것은 감기 환자를 제외하고 분석하여도 같은 결과이다. 또한 이것은 농사의 주기와도 일치한다. 계절변동 지수를 잘 활용한다면 농촌을 대상으로 한 보건 연구나 사업계획에 많은 도움이 될 것이다.