• 제목/요약/키워드: Seasonal Use

검색결과 470건 처리시간 0.03초

황사장기예측자료를 이용한 봄철 황사 발생 예측 특성 분석 (Assessment of Performance on the Asian Dust Generation in Spring Using Hindcast Data in Asian Dust Seasonal Forecasting Model)

  • 강미선;이우정;장필훈;김미경;부경온
    • 대기
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    • 제32권2호
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    • pp.149-162
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    • 2022
  • This study investigated the prediction skill of the Asian dust seasonal forecasting model (GloSea5-ADAM) on the Asian dust and meteorological variables related to the dust generation for the period of 1991~2016. Additionally, we evaluated the prediction skill of those variables depending on the combination of the initial dates in the sub-seasonal scale for the dust source region affecting South Korea. The Asian dust and meteorological variables (10 m wind speed, 1.5 m relative humidity, and 1.5 m air temperature) from GloSea5-ADAM were compared to that from Synoptic observation and European Centre for medium range weather forecasts reanalysis v5, respectively, based on Mean Bias Error (MBE), Root Mean Square Error (RMSE), and Anomaly Correlation Coefficient (ACC) as evaluation criteria. In general, the Asian dust and meteorological variables in the source region showed high ACC in the prediction scale within one month. For all variables, the use of the initial dates closest to the prediction month led to the best performances based on MBE, RMSE, and ACC, and the performances could be improved by adjusting the number of ensembles considering the combination of the initial date. ACC was as high as 0.4 in Spring when using the closest two initial dates. In particular, the GloSea5-ADAM shows the best performance of Asian dust generation with an ACC of 0.60 in the occurrence frequency of Asian dust in March when using the closest initial dates for initial conditions.

계층형 주기적 자기회귀 이동평균 모형의 추정 (Estimation of Layered Periodic Autoregressive Moving Average Models)

  • 이성덕;김정군;김선우
    • Communications for Statistical Applications and Methods
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    • 제19권3호
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    • pp.507-516
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    • 2012
  • 시계열의 상관구조가 시점에 의존하며 주기적인 상관성을 보이는 계절성 시계열 자료에 대한 시계열 모형들이 비교 분석된다. 주기적 자기회귀이동평균 모형을 소개하고, 실증분석으로 주기적 상관성을 지닌 스위스 Arosa 지방의 성층권 오존 월별 시계열에 계층형 모형인 주기적 자기회귀이동평균 모형과 계절 누적자기회귀이동 평균 모형의 적합을 통하여 주기적 자기회귀이동평균 모형의 우월성을 비교한다.

Clarification of Methane Emission Sources Using WDCGG Data: Case Study of Anmyeon-do Observatory, Korea

  • Park, Soo-Young;Park, JongGeol;Kim, Chung-Sil;Shin, ImChul
    • Asian Journal of Atmospheric Environment
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    • 제7권2호
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    • pp.85-94
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    • 2013
  • Methane concentrations have been monitored at the Anmyeon-do Observatory, Korea, since 1999. In recent years, the methane concentration has increased, but the sources of this increase have yet to be identified. This study was designed to identify the major source contributing to the increase by using World Data Centre for Greenhouse Gases (WDCGG) data and the Greenhouse Gases Emission Presumption (GEP) method. The data were collected at Anmyeon-do between 2003 and 2009 (except 2008), and the analyses showed that the increase in methane concentration originated mainly in rice paddies around the observation point. The annual average methane concentration at Anmyeon-do was 1894 ppb, of which 100-103 ppb (5.3-5.4%) was shown to originate mainly from rice paddies. The seasonal fluctuation in methane concentration from May to October estimated by the GEP method was compared with experimental data of previous research conducted on rice paddies. The close match obtained through this comparison shows that the GEP method is effective. The difference in methane concentration was also analyzed in terms of land use and land cover. It was shown that although rice paddies account for only 14.7% of the area surveyed, they accounted for between 69 and 90% of the total increase in methane concentration. These results confirm that rice paddies are the main source of the increase in methane concentration observed at Anmyeon-do.

Estimation of the PAR Irradiance Ratio and Its Variability under Clear-sky Conditions at Ieodo in the East China Sea

  • Byun, Do-Seong;Cho, Yang-Ki
    • Ocean Science Journal
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    • 제41권4호
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    • pp.235-244
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    • 2006
  • Determining 'photosynthetically active radiation' (PAR) is a key part of calculating phytoplankton productivity in a biogeochemical model. We explore the daily and seasonal variability in the ratio of PAR irradiance to total irradiance that occurred at Ieodo Ocean Research Station (IORS) in the East China Sea under clear-sky conditions in 2004 using a simple radiative transfer model (RTM). Meteorological data observed at IORS and aerosol optical properties derived from Aerosol Robotic Network observations at Gosan are used for the RTM. Preliminary results suggest that the use of simple PAR irradiance-ratio values is appropriate in calculating phytoplankton productivity as follows: an average of $0.44\;({\pm}0.01)$ in January to an average of $0.48\;({\pm}0.01)$ in July, with average daily variabilities over these periods of about $0.016\;({\pm}0.008)$ and $0.025\;({\pm}0.008)$, respectively. The model experiments demonstrate that variations in the major controlling input parameters (i.e. solar zenith angle, precipitable water vapor and aerosol optical thickness) cause PAR irradiance ratio variation at daily and seasonal timescales. Further, increases (>0.012) in the PAR irradiance ratio just below the sea-surface are positively correlated with high solar zenith angles and strong wind stresses relative to those just above the sea-surface.

A Study on the Sundials of the Kang Family of Jinju

  • Kim, Sang-Hyuk;Lee, Ki-Won;Lee, Yong-Sam
    • Journal of Astronomy and Space Sciences
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    • 제27권2호
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    • pp.161-172
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    • 2010
  • In this paper, we investigate the sundials made by the Kang Family of Jinju in the later period of the Joseon dynasty in terms of their characteristics, functions and the manufacturing technique. One of the characteristics of these sundials is that the value of polar height (i.e., the latitude of Seoul), the name of manufacturer, 24 seasonal subdivisions and so forth are written on the surface. In particular, polar height is expressed as '$37^{\circ}$ 39' 15"' in all 12 sundials examined in this study. To investigate the manufacturing technology in terms of astronomy, we analyze the positions of gnomon and of the lines corresponding to 24 seasonal subdivisions (season lines) and to each hour (hour lines). To verify the accuracy of the positions, we use a planar projection method. That is, we obtain 2D images of the sundials using a camera or scanner, and compare these with astronomical calculations for the positions of gnomon and season/hour lines. We believe that this method will be very useful for the study of sundials preserved elsewhere.

멀티형 에어컨의 기간에너지소비효율 평가규격에 관한 연구 (An Overview on Standards for Seasonal Performance Evaluation of Multi-type Air Conditioners)

  • 박윤철;문제명;홍주태
    • 설비공학논문집
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    • 제16권1호
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    • pp.91-100
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    • 2004
  • Energy efficiency evaluation method for a multi-type air conditioning system still has not been developed. In this study, analysis on capacity range and evaluating method of standards for air conditioners was conducted with world-wide Standards. It is not a proper approach to use the standards for residential air conditioner to multi type air conditioners. Some difficulties and problems are commented in this study with overview of the standards. Through the analytic research, an evaluating method for multi type air conditioner was suggested with Integrated Part Load Value (IPLV). The suggested concept for evaluating energy efficiency during part load condition considers building load pattern and operating hours of the system at different locations. Load was weighted in IPLV to consider not only the concept of occurrence of outdoor temperature such as bin method but also operation hours of the system. An experiment about the IPLV was conducted with variable air volume ducted type air conditioning system and multi-type system through modified code tester to give a glance at quantitative value of the IPLV.

통계분석 기법을 이용한 錦江水系의 水質評價 (Evaluation of Water Quality in the Keum River using Statistics Analysis)

  • 김종구
    • 한국환경과학회지
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    • 제11권12호
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    • pp.1281-1289
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    • 2002
  • This study was conducted to evaluate water quality in the Keum River using multivariate analysis. The analysis data in Keum river made use of surveyed data by the ministry of environment from January 1994 to December 2001. Thirteen water quality parameter were determined on each sample. The results was summarized as follow; Water quality in the Keum River could be explained up to 71.39% by four factors which were included in loading of organic matter and nutrients by the tributaries (32.88%), seasonal variation (16.09%), loading of pathogenic bacteria by domestic sewage of Gapcheon (13.39%) and internal metabolism in estuary as lakes(9.03%). For spatial variation of factor score, four group was classified by each factor characterization. Station 1 and 2 was influenced by Daechung dam, station 3 was affected by domestic sewage of Gapcheon, station 10~12 was affected by estuary dyke and the rest station. The result of cluster analysis by station was classified into four group that has different water quality characteristics. In monthly cluster analysis, three group was classified according to seasonal characteristic. Also, in yearly cluster analysis, three group was classified. It is necessary to control the pollutant loadings by Gapcheon inflow domestic sewage in Daejeon city for the sake of water quality management of Keum river.

입상토질의 노상토 회복탄성계수의 계절적 변화 (Seasonal Variation of Resilient Modulus of Granular Subgrade Soils)

  • 진명섭;이강원
    • 대한토목학회논문집
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    • 제13권3호
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    • pp.69-78
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    • 1993
  • 본 연구의 목적은, 입상토질의 노상토에 대한 회복탄성계수의 계절적 변화를 측정하기 위한 실험적 방법을 제시함에 있다. 노상토의 현지 온도와 함수비를 측정키 위해 현장 두 곳에 노상토 온도, 함수비 측정기기를 매설했다. 이러한 계절적 요인을 고려한 회복탕성계수를 결정하기 위해 다회귀분석에 의한 방정식을 유도했다. 응력해석결과, 평균유효응력 깊이에서의 유효회복탄성계수를 사용하는 것이 전 노상토의 특성을 대표할 수 있음을 아울러 찾아내었다. 또한, 온도와 함수비 등 계절적 변화에 따른 회복탄성계수를 예측키 위한 이론적 모델을 본 연구를 통해 제시했다.

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TEST ON REAL-TIME CLOUD DETECTION ALGORITHM USING A NEURAL NETWORK MODEL FOR COMS

  • Ahn, Hyun-Jeong;Chung, Chu-Yong;Ou, Mi-Lim
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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    • pp.286-289
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    • 2007
  • This study is to develop a cloud detection algorit1un for COMS and it is currently tested by using MODIS level 2B and MTSAT-1R satellite radiance data. Unlike many existing cloud detection schemes which use a threshold method and traditional statistical methods, in this study a feed-forward neural network method with back-propagation algorit1un is used. MODIS level 2B products are matched with feature information of five-band MTSAT 1R image data to form the training dataset. The neural network is trained over the global region for the period of January to December in 2006 with 5 km spatial resolution. The main results show that this model is capable to detect complex cloud phenomena. And when it is applied to seasonal images, it shows reliable results to reflect seasonal characteristics except for snow cover of winter. The cloud detection by the neural network method shows 90% accuracy compared to the MODIS products.

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충청남도 농촌 폐교자원의 효율적 활용을 위한 현황분석 - 폐교 운영자를 대상으로 - (Analysis on the Actual Conditions for Efficient Use of Rural Closed School in Chungchungnam-do - Focused on Closed School Operators -)

  • 장우석;정남수;권영현
    • 농촌계획
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    • 제19권1호
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    • pp.43-54
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    • 2013
  • School closings in rural area continue to occur due to drops in population in those areas. Many studies have been done in order to effectively utilize such closed schools. However, there is a lack of studies targeting operators of the closed facilities for revitalization. Therefore, the goal of this research is understanding the real operational status of and finding solutions for the closed schools after studying the current operational status of the closed schools by conducting surveys with their operators. The survey was performed with closed-school-operators in Chungcheongnam-Do as the target; and the analysis was conducted regarding the acquisition type of the closed schools (purchase, lease), building condition, repair and construction status, annual visitors, operational days, operational fees, seasonal ups and downs, operational profits, and satisfaction of local government support. The results showed that there were differences with visitors and operational days along acquisition types as well as low operational profits and seasonal ups and downs including dissatisfaction of local government support. In this study, institutional and political improvement measurements were suggested for the effective operation of the closed facilities based on the main results.