• 제목/요약/키워드: Seasonal pattern

검색결과 597건 처리시간 0.025초

Cytochemical Evidence on Seasonal Variation of Peroxidase Activities in Cambial Region of Pinus densiflora, Ginkgo biloba, and Populus alba

  • Wi, Seung-Gon;Lee, Kwang-Ho;Kim, Yoon-Soo
    • Journal of the Korean Wood Science and Technology
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    • 제28권4호
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    • pp.17-24
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    • 2000
  • The peroxidase activity was localized cytochemically to get an insight into its precise function in lignin biosynthesis. In this work, cerium chloride ($CeCl_3$) was used as a trapping agent for hydrogen peroxide ($H_2O_2$) generated from peroxidase. Seasonal variation of peroxidase activities in cambial region of Populus, Pinus, and Ginkgo was investigated at subcellular levels. Under transmission electron microscopy, electron dense deposits of cerium perhydroxide formed by reaction with $H_2O_2$ were observed in cambium and its immediate derivatives. The staining with $CeCl_3$ in cambium varied with growth seasons. The strongest $H_2O_2$ accumulation, regardless of tree species, appeared in May. Staining pattern of $CeCl_3$ in the cambium of poplar indicated that the production of peroxidase started in March before the opening of buds and reached the highest in May and then declined in August. Ginkgo and Pinus showed relatively late generation of $H_2O_2$ production when compared with Populus. Although Ginkgo and Pinus are classified into gymnosperms, however, the generation of peroxidase production and its duration was different from each other. Little staining appeared in all the tree samples collected in September before falling the leaves.

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Long-term analysis of tropospheric delay and ambiguity resolution rate of GPS data

  • Kim, Su-Kyung;Bae, Tae-Suk
    • 한국측량학회지
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    • 제30권6_2호
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    • pp.673-680
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    • 2012
  • Long-term GPS data analysis was performed in order to analyze the seasonal variation of tropospheric delay and the success rate of the ambiguity resolution. For this analysis, a total of 57 stations including 10 IGS stations in East Asia were processed together with double-differenced observables using Bernese GPS Software V5.0. The time span for this study ranges from 2002.0 to 2012.5 (10.5 years). The average baseline length is 339.0 km and the maximum reaches up to 2,000 km. The analysis is focused on two things: the annual variation of the tropospheric delay and the ambiguity resolution rate. The tropospheric delay is closely related to the weather condition, especially relative humidity, therefore it was estimated that the maximum would be in summer, while reaching its minimum in winter with the apparent seasonal variations. On the contrary, however, the success rate of the ambiguity resolution shows the opposite pattern: its maximum was in winter and minimum in summer. The fact seems to be induced by the surrounding conditions; that is, the trees thick with leaves near the GPS antenna interfere with GPS signals in summer. This seems to confirm partly that there is a distinct trend in the decreasing success rate since 2006 because the trees are growing every year. It is necessary to eliminate the factors that degrade the GPS quality and the tropospheric modeling for Korea needs to be studied further.

익모초의 계절 및 지역별 Rutin 함량변화 연구 (Study on the Seasonal and Regional Variation of Rutin Content of Leonuri Herba)

  • 이성완;김기은;정성희;김성건;김도훈;김진효;김호경;황완균
    • 약학회지
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    • 제51권3호
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    • pp.157-163
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    • 2007
  • In a pattern analysis of GC-MS of 21 Leonuri herba samples harvested in China and Korea, characteristic differences were observed between Chinese and Korean samples. specifically, Leonuri herba form Hanllasan showed unusual retention time. Rutin was employed as a standard compound of Leonuri herba. All samples had 0.32${\pm}$0.18(%) rutin contents in average, but Korean samples had more rutin than Chinese one, especially the sample from Hanllasan of Jeju showed high-est rutin content (3.2%). In rutin contents of seasonal variation, there were more rutin contents in after blooming, 2years aged Leonuri herba than before.

이어도 주변해역에서 수중음속의 시공간적 변동성 (Temporal and Spatial Variability of Sound Speed in the Sea around the Ieodo)

  • 박경주
    • 한국환경과학회지
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    • 제29권11호
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    • pp.1141-1151
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    • 2020
  • The impact of sound speed variability in the sea is the very important on acoustic propagation for the underwater acoustic systems. Understanding of the temporal and spatial variability of ocean sound speed in the sea around the Ieodo were obtained using oceanographic data (temperature, salinity). from the Korea Oceanographic Data Center, collected by season for 17 years. The vertical distributions of sound speed are mainly related to seasonal variations and various current such as Chinese coastal water, Yellow Sea Cold Water (YSCW), Kuroshio source water. The standard deviations show that great variations of sound speed exist in the upper layer and observation station between 16 and 18. In order to quantitatively explain the reason for sound speed variations, Empirical Orthogonal Function (EOF) analysis was performed on sound speed data at the Line 316 covering 68 cruises between 2002 and 2018. Three main modes of EOFs respectively revealed 55, 29, and 5% the total variance of sound speed. The first mode of the EOFs was associated with influence of surface heating. The second EOFs pattern shows that contributions of YSCW and surface heating. The first and second modes had seasonal and inter-annul variations.

경주시 연안해역의 식물플랑크톤 군집 장기 변동 (Long-term Variations of Phytoplankton Community in Coastal Waters of Kyoungju City Area)

  • 김현정;박재영;손민호;문창호
    • 수산해양교육연구
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    • 제28권5호
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    • pp.1417-1434
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    • 2016
  • Starting from the February 2008 till the end of November 2014, abundance of phytoplankton and their composition living in the coastal waters of Kyoungju city were investigated. Environmental and biological properties were also observed at 10 different stations on a seasonal basis. Due to the environmental variables, fluctuating pattern was appeared during the entire period of observation with different degree, as compared to those found in other costal waters in the East Sea. The concentration of phosphate was turned out to be very low which was even less than threshold level in the study area. Phytoplankton community structure was dominated by diatoms (both micro- and nanoplankton fractions) for several years and seasonal succession was also relied on the diatoms. The importance of dinoflagellates in the community was relatively low. Abundance of phytoplankton was heavily affected by physical factors in the surface water, however, affected more by chemical factors including nutrients in the deep water. For periods of this study, the phosphate concentrations was observed in an extremely low, which indicates that the main limiting factor affecting phytoplankton growth could be phosphate.

1991년 전남지방의 쭈쭈가무시병 유행에 관한 연구 (The Epidemiologic Pattern of Tsutsugamushi Epidemic in Chollanamdo Province in 1991)

  • 한광일;문강;최진수
    • 농촌의학ㆍ지역보건
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    • 제17권2호
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    • pp.93-102
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    • 1992
  • The epidemic of tsutsugamushi disease, along with hemorrhagic fever with renal syndrome(HFRS) and leptospirosis, has been ingrowing concern as it occupies a considerable proportion of the so-called seasonal febrile illnesses in autumn in Korea. This study was conducted to describe certain epidemiologic characteristics of the reported cases of the tsutsugamushi epidemic in Chollanamdo province in 1991. The findings could be summarized as follows: 1. Among three seasonal febrile illnesses in Autumn, tsutsugamushi disease occupied 91.9 percent of whole serologically confirmed cases. 2. Male-female sex ratio was 1 : 1.8. Majority of cases (77.4% in men, 65.1% in female) were in older age group (>=50 year of age). 3. Date of disease onset were distributed between late September and November. The 67.4% of cases were developed from October 21 to November 10, 1991. 4. The 41.5% of cases were reported from southern maritime districts. Reported dates of index cases and median cases were earliest in inland districts followed by southern maritime and latest in western maritime districts. 5. Most frequently reported clinical symptoms were chill (100%), high fever (100%), headache (81.7%), and skin eruption (70.4%).

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동북아 연계선로 구성 및 계절별 영향을 고려한 우리나라 계통의 조류계산 (Northeast Asia Interconnection and Load Flow considering Seasonal Effects in South Korea)

  • 이상성;박종근;문승일;윤용태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 추계학술대회 논문집 전력기술부문
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    • pp.134-137
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    • 2004
  • 본 논문에서는 향후 남한의 예비력 중대방안으로 동북아 지역 (러시아, 중국, 몽고, 북한, 한국, 일본)의 지역의 전력계통연계선로의 구성 및 동북아 지역의 계절별 패턴을 고려한 조류계산을 수행하여 전력수급의 분포도를 파악하고자 한다. 특히 한반도 전체의 전력수급을 고려하여 볼 때 남-북한의 수도권 및 영남 지역의 두 지역은 향후 계속적인 전력 수요의 증가로 인한 발전력의 부족상태가 계속되리라 여겨지며, 이러한 문제의 해결방안으로 북한의 신포지역에 2,000MW KEDO 경수로를 건설하여 공급하는 방안이 있겠으나 현재 여러 가지 정치적 상황으로는 건설을 중단하게 되었다. 이러한 정치적 상황의 변화로 다른 대안이 필요하게 되었다. 이들 중의 하나가 극동러시아나 시베리아 및 중국 그리고 일본과의 연계에 의한 예비력을 확보하는 방안이 될 것이다. 본 논문에서는 동북아 지역과 연계를 할 수 있는 가능한 지역을 고려하여 연계선로를 구성하고 계절별 효과를 고려한 조류계산을 실시하여 연계 시 융통전력의 분포도를 연구하고자 한다.

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Effective modelling of borehole solar thermal energy storage systems in high latitudes

  • Janiszewski, Mateusz;Siren, Topias;Uotinen, Lauri;Oosterbaan, Harm;Rinne, Mikael
    • Geomechanics and Engineering
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    • 제16권5호
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    • pp.503-512
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    • 2018
  • Globally there is an increasing need to reduce the greenhouse gas emissions and increase the use of renewable sources of energy. The storage of solar thermal energy is a crucial aspect for implementing the solar energy for space heating in high latitudes, where solar insolation is high in summer and almost negligible in winter when the domestic heating demand is high. To use the solar heating during winter thermal energy storage is required. In this paper, equations representing the single U-tube heat exchanger are implemented in weak form edge elements in COMSOL Multiphysics(R) to speed up the calculation process for modelling of a borehole storage layout. Multiple borehole seasonal solar thermal energy storage scenarios are successfully simulated. After 5 years of operation, the most efficient simulated borehole pattern containing 168 borehole heat exchangers recovers 69% of the stored seasonal thermal energy and provides 971 MWh of thermal energy for heating in winter.

Prediction of the Corona 19's Domestic Internet and Mobile Shopping Transaction Amount

  • JEONG, Dong-Bin
    • 융합경영연구
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    • 제9권2호
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    • pp.1-10
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    • 2021
  • Purpose: In this work, we examine several time series models to predict internet and mobile transaction amount in South Korea, whereas Jeong (2020) has obtained the optimal forecasts for online shopping transaction amount by using time series models. Additionally, optimal forecasts based on the model considered can be calculated and applied to the Corona 19 situation. Research design, data, and methodology: The data are extracted from the online shopping trend survey of the National Statistical Office, and homogeneous and comparable in size based on 46 realizations sampled from January 2007 to October 2020. To achieve the goal of this work, both multiplicative ARIMA model and Holt-Winters Multiplicative seasonality method are taken into account. In addition, goodness-of-fit measures are used as crucial tools of the appropriate construction of forecasting model. Results: All of the optimal forecasts for the next 12 months for two online shopping transactions maintain a pattern in which the slope increases linearly and steadily with a fixed seasonal change that has been subjected to seasonal fluctuations. Conclusions: It can be confirmed that the mobile shopping transactions is much larger than the internet shopping transactions for the increase in trend and seasonality in the future.

ARIMA 모델을 이용한 수막재배지역 지하수위 시계열 분석 및 미래추세 예측 (Time-series Analysis and Prediction of Future Trends of Groundwater Level in Water Curtain Cultivation Areas Using the ARIMA Model)

  • 백미경;김상민
    • 한국농공학회논문집
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    • 제65권2호
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    • pp.1-11
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    • 2023
  • This study analyzed the impact of greenhouse cultivation area and groundwater level changes due to the water curtain cultivation in the greenhouse complexes. The groundwater observation data in the Miryang study area were used and classified into greenhouse and field cultivation areas to compare the groundwater impact of water curtain cultivation in the greenhouse complex. We identified the characteristics of the groundwater time series data by the terrain of the study area and selected the optimal model through time series analysis. We analyzed the time series data for each terrain's two representative groundwater observation wells. The Seasonal ARIMA model was chosen as the optimal model for riverside well, and for plain and mountain well, the ARIMA model and Seasonal ARIMA model were selected as the optimal model. A suitable prediction model is not limited to one model due to a change in a groundwater level fluctuation pattern caused by a surrounding environment change but may change over time. Therefore, it is necessary to periodically check and revise the optimal model rather than continuously applying one selected ARIMA model. Groundwater forecasting results through time series analysis can be used for sustainable groundwater resource management.