• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2004.05a
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• pp.210-215
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• 2004

The Purpose of this study are to develop the simulation(Tank model, Rainfall-runoff model) for the estimation of wily river discharge and for evaluation of wily pollutant loads from the watersheds of the objected basin area. As apply this constructed Tank model to Nakdong river region, we evaluated the wily river discharge of Nakdong river from use-land conditions, precipitation and evaporation data of 3 years(from 1998 to 2000) and investigate the seasonal fluctuation of SS, COD, TN, TP inflowing into Nakdong river. The result shows that summer has high pollutant level than winter in seasonal characteristic and the down stream has high pollutant level than the upper stream. The annual average of SS, COD, TN, TP flawing in Nakdong river(Samranjin) was estimated each 691ton-COD/year, 1854.2ton-SS/year, 382.8ton-TN/year and 13.0ton- TP/year.

• Journal of the Korean Society for Railway
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• v.17 no.4
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• pp.307-312
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• 2014

This study suggested the ARIMA model taking into consideration the seasonal characteristic factor as a method for efficiently forecasting passenger transport demand of the Joongang Line. The forecasting model was built including the demand for the central inland region tourist train (O-train, V-train), which was opened to traffic in April-, 2013 and run in order to reflect the recent demand for the tourism industry. By using the monthly time series data (103) from January-, 2005 to July-, 2013, the optimum model was selected. The forecasting results of passenger transport demand of the Joongang Line showed continuous increase. The developed model forecasts the short-term demand of the Joongang Line.

• Journal of Korean Society for Atmospheric Environment
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• v.10 no.3
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• pp.170-174
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• 1994

Atmospheric lead concentrations in Seoul were monitored for ten years from January 1984 to June 1993 using X-ray fluorescence Spectrometer. 342 aerosol samples were collected using high volume samplers at two sites : one at Chungang University campus from 1984 to 1988 and the other at Yonsei University campus from 1989 to 1993. Lead concentration increased steadily from about 300ng/㎥ to the maximum of about 600ng/㎥ in 1988 and then decreased, and this is similar to the pattern of Korean leaded gasoline sales implying that Korean automobile emission is the main source. However, the emission from nation's coal combustion appeared to be substantial as welt, and this emmision is the major cause for the secondary feature strong seasonal variability. Lead concentration varied systematically from season to season, low in summer and high in winter. The region's characteristic climate, frequent and heavy precipitations in summer and dry in winter is considered to be another cause for the seasonal variability.

• The Transactions of the Korean Institute of Power Electronics
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• v.27 no.4
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• pp.316-324
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• 2022

This paper uses seasonal auto-regressive integrated moving average (S-ARIMA), which is efficient in seasonality between time-series models, to predict the degradation tendency for lithium-ion batteries and study a method for improving the predictive performance. The proposed method analyzes the degradation tendency and extracted factors through an electrical characteristic experiment of lithium-ion batteries, and verifies whether time-series data are suitable for the S-ARIMA model through several statistical analysis techniques. Finally, prediction of battery aging is performed through S-ARIMA, and performance of the model is verified through error comparison of predictions through mean absolute error.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.5
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• pp.565-574
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• 2009

The water vapor weighted vertically mean temperature(Tm) models, which were developed by the consideration of seasonal characteristics over the Korea, was used in the retrieval of precipitable water vapor (PWV) from GPS data which were observed at four GPS permanent stations. Since the weighted mean temperature relates to the water vapor pressure and temperature profile at a site, the accuracy of water vapor information which were estimated from GPS tropospheric wet delay is proportional to the accuracy of the weighted mean temperature. The adaption of Korean seasonal weighted mean temperature model, as an alternative to other formulae which are suggested from other nation, provides an improvement in the accuracy of the GPS PWV estimation. Therefore, it can be concluded that the seasonally appropriate weighted mean temperature model, which is used to convert actual zenith wet delay (ZWD) to the PWV, can be more reduced the relative biases of PWV estimated from GPS signal delays in the troposphere than other annual model, so that it would be useful for GPS PWV estimation with high accuracy.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.2
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• pp.51-58
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• 2018

Recently, various satellite sensors have been developed and it is becoming more convenient to acquire multitemporal satellite images. Therefore, various researches are being actively carried out in the field of utilizing change detection techniques such as disaster and land monitoring using multitemporal satellite images. In particular, researches related to the development of unsupervised change detection techniques capable of extracting rapidly change regions have been conducted. However, there is a disadvantage that false detection occurs due to a spectral difference such as a seasonal change. In order to overcome the disadvantages, this study aimed to reduce the false alarm detection due to seasonal effects using the direction vector generated by applying the $S^2CVA$ (Sequential Spectral Change Vector Analysis) technique, which is one of the unsupervised change detection methods. $S^2CVA$ technique was applied to RapidEye images of the same and different seasons. We analyzed whether the change direction vector of $S^2CVA$ can remove false positives due to seasonal effects. For the quantitative evaluation, the ROC (Receiver Operating Characteristic) curve and the AUC (Area Under Curve) value were calculated for the change detection results and it was confirmed that the change detection performance was improved compared with the change detection method using only the change magnitude vector.

• KCID journal
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• v.11 no.2
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• pp.72-81
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• 2004

In this study, the runoff characteristic of nutrients in the small sized stream was investigated with seasonal change. The area considered was greenhouse site situated near Nam river, Jinju, Korea. In this site, groundwater was used for the irrigation and

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2001.11a
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• pp.261-262
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• 2001

도서지역의 경제산업 활동으로 인한 에너지 소비와 교통량의 지속적인 증가는 공해방지와 환경개선 등을 위한 노력에도 불구하고 도시 대기질을 보다 심각한 상태로 오염시키고 있다. 이러한 대기오염물질 중 입자상 오염물질의 경우 그 입자의 크기는 100$\mu\textrm{m}$보다 큰 것에서부터 0.01$\mu\textrm{m}$ 정도까지 다양한 크기로서 대기내에 존재하며, 2.5~10 $\mu\textrm{m}$이하의 미세분진은 태양광의 산란 등을 통해 시정을 감소시키고, 태양복사에도 영향을 주어 지구와 대기간의 복사평형에도 변화를 초래한다(김필수 등, 1991; 문길주 등, 1994). (중략)

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1620-1624
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• 2010

The NLCCA has been applied to analyze the East Asia sea surface temperature (SST) and Korea monthly precipitation, where the eight leading PCs of the SST and the eight PCs of the precipitation during 1973-2007 were inputs to an NLCCA model. The first NLCCA mode is plotted in the PC spaces of the Korea precipitation and the world SST present a curve linking the nonlinear relationship between the first three leading PCs of Korea precipitation and world SST forthright. The correlation coefficient between canonical variate time series u and v is 0.8538 for the first NLCCA mode. And there are some areas' climate variability have higher relationship with Korea precipitation, especially focus on the north of East Sea' climate variability have represented the higher canonical correlation with Korea precipitation, with the correlation coefficient is 0.871 and 0.838. Likewise in Korea, most stations display similarly uniform distributing characteristic and less difference, in particular the inshore stations have display identical distributing characteristic. In correlation variables' scores, the fluctuation and variation trend are also seasonal oscillation with high frequency.

• The Korean Journal of Community Living Science
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• v.27 no.4
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• pp.755-777
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• 2016

This study was conducted to investigate food needs for dining out in the context of rural healing tourism by surveying food preference characteristics. A total of 600 adults in an urban area completed an online questionnaire on food characteristics for rural healing tourism. Regarding the purpose of rural healing tourism, 61.2% of respondents answered 'relaxation' while 6.3% answered 'promotion of health'. Exactly 66.3% of respondents selected Korean foods (rice) as the preferable food type for dining out in the context of rural healing tourism. Respondents considered 'regionality' and 'ingredient' as more important among food quality characteristics, whereas 'professionality' was less important. Females perceived 'nutrition' and 'cooking' as more important than males. Among food characteristics of professionality, regionality, and traditionality, respondents most preferred 'using regional specialty food'. Preference for 'using traditional food' significantly increased with subject's age. Respondents rated 'balanced nutrition' most highly among food characteristics of health and nutrition. 'Seasonal food' was the most preferred food characteristic among cooking and ingredients. Females showed higher interest in nutrition, cooking, and ingredients and higher preferences related to food characteristics of nutrition, cooking, and ingredients than males. In conclusion, Korean foods (rice) or Korean full course menu items using local specialty foods or seasonal foods with balanced nutrition are needed for dining out in the context of rural healing tourism.