• The Korean Journal of Community Living Science
• /
• v.16 no.3
• /
• pp.109-125
• /
• 2005

The purpose of this study was to analyze the differences in the understanding level of the Korean traditional seasonal customs during summer (i.e. Buddha's birthday, Dano festival, Yudu festival and Chilseok) before and after the execution of a educational program concerning seasonal customs and determine if elementary school teachers recognize a need for this kind of educational program. The subjects of this study were 168 students in the 4th grade at two elementary schools (84 students each for the experiment group and the control group) and 249 teachers at the elementary schools in Yangju city. The major results of this study are as follows : First, it was shown that there is no significant difference in the understanding level of seasonal customs between the experiment group and the control group in the pre-test, but after carrying out the educational program, it was indicated that there is a statistically significant difference between the experiment group and the control group in the post-test. Second, in addition to strongly pointing out the necessity of seasonal customs education, the teachers recognized that it is desirable to teach seasonal customs to students through the discretionary activity class corresponding to the seasonal divisions in the year and that it is especially important to perform the educational activity through traditional plays and to utilize audio-visual media. Also, teachers hoped that a seasonal customs program suitable for elementary school students would be required, along with the development of instructional materials, and finally that the schools need to further develop teacher training through field inspections and practice.

• Journal of Fisheries and Marine Sciences Education
• /
• v.24 no.6
• /
• pp.781-792
• /
• 2012

Seasonal variation of species composition in marine organisms around Oryukdo of Busan was investigated using a gill net between 2009 and 2011. A total of 82 species, 52 families, and 6 taxa were collected during the sampling periods. Species were included two species in Cnidaria, one in Urochordata, 12 in Mollusca, 12 in Crustacea, seven in Echinodermata, and 48 in Pisces. The dominant species were Crepidula onyx, Asterina pectinifera, Ceratostoma burnetti, Asterias amurensis, Anthocidaris crassispina, and Trachurus japonicus. These six species accounted for 48.4% in the total number. Diversity indices were highest in spring 2009 (2.77) and lowest in spring 2011 (1.66). Seasonal variation of species composition and abundance in marine organisms corresponded with the water temperature.

• Journal of the Korean Dietetic Association
• /
• v.7 no.4
• /
• pp.426-438
• /
• 2001

Nutrient intake of Koreans from the 1999 Seasonal Nutrition Survey was somewhat lower than those of 1995 National Nutrition Survey or 1998 National Health and Nutrition Survey owing to the seasonal variation in amount and kind of foods eaten. In addition to the seasonal variation, low response rate of households which were surveyed twice was another reason for lower intake. Analysis of the major source of nutrients showed that intake of energy, carbohydrate, vitamin A and vitamin C was influenced by seasonal food supply pattern. And especially, vitamin A and vitamin C intake was more influenced by consumption of fruits and vegetables than other food groups. Main sources of these two nutrients were spinach and strawberry in spring, watermelon, tomato, melon and potato in summer, and grapes and pumpkin in autumn. As shown before in the report on food consumption, intake of beverages, drinks, fruits and vegetables was more influenced by season than others and these food groups affected the nutrient intake most. With the results of the 1998 National Health and Nutrition Survey, this study made it possible to estimate the average nutrient intake of the Korean population through out a year.

• Asia-Pacific Journal of Atmospheric Sciences
• /
• v.54 no.4
• /
• pp.563-573
• /
• 2018

An Expert Seasonal Prediction System for operational Seasonal Outlook (ESPreSSO) is developed based on the APEC Climate Center (APCC) Multi-Model Ensemble (MME) dynamical prediction and expert-guided statistical downscaling techniques. Dynamical models have improved to provide meaningful seasonal prediction, and their prediction skills are further improved by various ensemble and downscaling techniques. However, experienced scientists and forecasters make subjective correction for the operational seasonal outlook due to limited prediction skills and biases of dynamical models. Here, a hybrid seasonal prediction system that grafts experts' knowledge and understanding onto dynamical MME prediction is developed to guide operational seasonal outlook in Korea. The basis dynamical prediction is based on the APCC MME, which are statistically mapped onto the station-based observations by experienced experts. Their subjective selection undergoes objective screening and quality control to generate final seasonal outlook products after physical ensemble averaging. The prediction system is constructed based on 23-year training period of 1983-2005, and its performance and stability are assessed for the independent 11-year prediction period of 2006-2016. The results show that the ESPreSSO has reliable and stable prediction skill suitable for operational use.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.46 no.4
• /
• pp.335-345
• /
• 2010

Species composition and seasonal variation of fish assemblage in Sacheon marine ranching, Korea were examined. Sampling was seasonally made by a shrimp trawl from February 2009 to November 2009. A total of 55 species were collected. Of these, five species was dominant species comprising 51.1% of the total number of individuals. Nine species represented 57.3% of the total biomass. While total abundance (number of individuals) was high in spring, total biomass and species richness (number of species) and diversity were high in autumn. Cluster analysis, based on seasonally abundance data of the 21 most common species, showed that the species were separated into 4 different groups. Group A composed of Pholis nebulosa, Pleuronectes yokohamae, Hypodytes rubripinnis, Hexagrammos otakii, Tridentiger trigonocephalus and Paracercis sexfasciata, which were year round residents, group B Congr myriaster, Leiognathus nuchalis, and Platycephalus indicus, which were abundant in autumn, group C Sillago japonica, Pseudaesopia japonica, Zoarces gilli, Pholis fangi, and Pleuronichthys cornutus which were abundant in spring, and group D Sillago sihama, Cociella sp., Johnius grypotus, Cynoglossus joyneri, Cynoglossus robustus, and Pennahia argentata, which were abundant in summer. Principal component analysis revealed that seasonal variation in the fish assemblage was attributed to the abundance of temporal species such as conger and sand smelt fishes, which were abundant in summer, due to seasonal variation of water temperature.

• The Korean Journal of Applied Statistics
• /
• v.31 no.6
• /
• pp.785-799
• /
• 2018

With the development of renewable energy sector, the importance of solar energy is continuously increasing. Solar radiation forecasting is essential to accurately solar power generation forecasting. In this paper, we used time series models (ARIMA, ARIMAX, seasonal ARIMA, seasonal ARIMAX, ARIMA GARCH, ARIMAX-GARCH, seasonal ARIMA-GARCH, seasonal ARIMAX-GARCH). We compared the performance of the models using mean absolute error and root mean square error. According to the performance of the models without exogenous variables, the Seasonal ARIMA-GARCH model showed better performance model considering the problem of heteroscedasticity. However, when the exogenous variables were considered, the ARIMAX model showed the best forecasting accuracy.

• Atmosphere
• /
• v.30 no.2
• /
• pp.141-154
• /
• 2020

Seasonal forecast is growing in demand, as it provides valuable information for decision making and potential to reduce impact on weather events. This study examines how operational climate prediction systems can be reliable, producing the probability forecast in seasonal scale. A reliability diagram was used, which is a tool for the reliability by comparing probabilities with the corresponding observed frequency. It is proposed for a method grading scales of 1-5 based on the reliability diagram to quantify the reliability. Probabilities are derived from ensemble members using hindcast data. The analysis is focused on skill for 2 m temperature and precipitation from climate prediction systems in KMA, UKMO, and ECMWF, NCEP and JMA. Five categorizations are found depending on variables, seasons and regions. The probability forecast for 2 m temperature can be relied on while that for precipitation is reliable only in few regions. The probabilistic skill in KMA and UKMO is comparable with ECMWF, and the reliabilities tend to increase as the ensemble size and hindcast period increasing.

• The Korean Journal of Community Living Science
• /
• v.17 no.4
• /
• pp.175-197
• /
• 2006

This study aims to assess the traditional knowledge on seasonal customs and its characteristics for practical use. The Delphi method and correspondence analysis were hired to collect and analysis the data. Twenty six professionals for the Delphi participated in three-round process. The followings were concluded. The number of items valuing and resourcing for seasonal customs. were 118(40 for folks and ceremonies, 53 for foods. 25 for plays) on Delphi results. For example are Bokjori, Dano fm, Bokjumeoni, Chuseok, Tano festival, New Year Card, washing hair with an iris, Soup with rice cake, Boiled rice with five cereals, Rice and red-bean porridge, Kimchi-making for the winter, Sharing walnut with friends, Game of yut, Playing kite, Play with Hanga etc. Nowadays the ideas of modernized practical use on seasonal customs was to connect with modernized scientific technology and designate commemoration day. The items for connecting with modernized scientific technology were new year card, painting and recording sound with traditional seasonal customs, food areas, cake with seven kind of cereals, play areas, hand wrestling, cockfighting in folks and customs areas. Also the items for designating commemoration days were the Suelbeam and Suelbeam Socks present for the aged people, man cooking day, Korean traditional workers day in folk and ceremony areas.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.46 no.2
• /
• pp.126-138
• /
• 2010

To investigate seasonal variation of fisheries resources composition and their correlationships with environmental factors in the coastal ecosystem of the middle Yellow Sea of Korea, shrimp beam trawl were carried out for the fisheries survey. Fisheries resources of 81 species, 57 families, and 6 taxa totally were collected by shrimp beam trawl in the middle coastal ecosystem of Yellow Sea of Korea. Species were included 6 species in Bivalvia, 6 in Cephalopoda, 22 in Crustacea, 2 in Echinodermata, 5 in Gastropoda, and 40 in Pisces. Diversity indices (Shannon index, H') showed seasonal variation with low value of 2.14 in winter, and high value of 2.67 in spring. Main dominant species were Oratosquilla oratoria, Octopus ocellatus, Acanthogobius lactipes, Cynoglossus joyneri, Rapana venosa venosa, Loligo beka, Chaeturichthys stigmatias, Raja kenojei, Microstomus achne and Paralichthys olivaceus, that were occupied over 58% of total individuals, and 55% of wet weight. Fisheries organism made four coordinative seasonal groups by the principal component analysis (PCA), showing stronger seasonal variation than spatial variation. PC from PCA showed statistically significant cross-correlationships with seawater temperature, $NH_4$-N, TP and chlorophyll a (P < 0.05).

• Proceedings of the Korean Society of Applied Entomolohy Conference
• /
• 2001.11a
• /
• pp.59-59
• /
• 2001