• 한국태양에너지학회:학술대회논문집
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• 2009.11a
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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.

• Journal of the East Asian Society of Dietary Life
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• v.22 no.4
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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.

• The Research Journal of the Costume Culture
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• v.8 no.3
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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.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.35 no.5
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• pp.463-468
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• 2002

Influence of increased temperature on the standard metabolism in three species of marine bivalves, Crassostrea gigas, Ruditapes philippinarum and Mytilus edulis, acclimated to seasonal water temperatures and collected from the south coast of Korea, were examined in the laboratory. The standard oxygen consumption and filtration rates in the 3 species were measured respectively at the experimental temperature, 4, 7 and 10$^{\circ}C$ or 3, 6 and 9$^{\circ}C$ higher than the mean seasonal water temperature. When the experimental temperatures were higher than the seasonal water temperature, the rates of C. gigas decreased in autumn and spring, and increased In winter, while there was thermal stress in summer. The rates of R. philippinarum increased in spring when the experimental temperatures were 3$^{\circ}C$ and 6$^{\circ}C$ higher than the seasonal water temperature, but the rates increased in autumn and winter when the experimental temperature was even 9$^{\circ}C$ higher than the seasonal water temperature. In summer. metabolic activities of R. philippinarum decreased significantly at temperature higher than acclimation temperature. The rates of M. edulis increased in spring when the experimental temperatures were 3$^{\circ}C$ higher than the seasonal water temperature but the rates were stressed by the increased temperature above 3$^{\circ}C$. In winter, increased temperature did not affect the metabolic activities of M. edulis. These results suggested that the standard metabolism of the three marine bivalves in summer was stressed by the increased temperature, whereas the metabolism was activated in winter.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.6 no.3
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• pp.309-325
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• 1994

Ocean circulation in the Gulf of Alaska is remarkably constant throughout the year despite of being forced by one of the largest seasonal wind stresses in the world. To explain the small seasonal changes in the transport of Alaska Stream. a set of numerical models is employed. First a diagnostic approach is applied to reproduce circulation from the observed density structure. The results reveals the very small seasonal changes in the Alaska Stream transport. Next a series of the prognostic models is used: a barotropic model. a flat bottom baroclinic model, and baroclinic model with topography. These models reveal the influence of topography and baroclinicity on the ocean's response to the seasonal wind forcing. The intercomparisons of the various model results suggest that the seasonal response of the baroclinic ocean is primary barotropic and the resultant barotropic circulation is weakened by the scattering effect of the bottom topography.

• Proceedings of the Korean Nuclear Society Conference
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• 2002.05a
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• pp.411.2-411
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• 2002

• Ocean Science Journal
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• v.43 no.4
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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.

• Proceedings of the KSEEG Conference
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• 2000.04b
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• pp.247-248
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• 2000

• Atmosphere
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• v.26 no.1
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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.

• Journal of agricultural medicine and community health
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• v.26 no.1
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• pp.115-119
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• 2001

The effect of seasonal variation on social statistic data is important. But in health subcenter in rural areas the effect has not been well known. To determine the seasonal index of medical needs in rural communities, the monthly number of patients were analyzed from Jan. 1994 to Dec. 2000. Seasonal index were calculated using 12 months moving averages and median value of each data. The number of patients excluding common cold were analyzed by same method. The seasonal index from Jan. to Dec. were 0.96, 1.08, 1.23, 0.83, 0.82, 0.75, 1.01, 0.99, 1.02, 1.05, 1.13, 1.13. The seasonal index of patients excluding those with common cold were 0.94, 0.90, 1.42, 0.94, 0.91, 0.77, 1.13, 0.92, 0.84, 1.07, 1.10, 1.16. In a rural area, medical needs are decreased on spring and early summer and increase in winter, and that are the influence of rural area.