• Title/Summary/Keyword: Climatic factor

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Leakage Current Properties Analysis of Outdoor Insulator on Climatic.Environmental Factor (기후.환경 인자에 의한 옥외 절연물의 누설전류 특성 분석)

  • Lee, Won-Yeong;Shim, Kyu-Il;Han, Sang-Ok;Park, Gang-Sik
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2002.05c
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    • pp.27-30
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    • 2002
  • In this paper, we were investigated leakage current properties of outdoor insulator on climatic environmental factor. Contamination is one of the most important factor to determine the performance of insulator. Thus, it is very important to exam the contamination degree on the outdoor insulator. There are many limits, such as reliability of data, interval of measurement and similarity of environmental conditions, in conventional method. So, we measured phase and leakage current of outdoor insulator using the temperature & humidity chamber. In this investigation, phase difference was measured to compare the variance of phase difference with the contamination degree and relative humidity.

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Analysis of the Typical Meteorological Data and the Weighting Factor of TRY (표준기상데이터 형식 분석 및 TRY 가중치 적용)

  • Yoo, Ho-Chun;Lee, Gwan-ho;Park, So-Hee;Kim, Kyoung-Ryul
    • Journal of the Korean Solar Energy Society
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    • v.27 no.4
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    • pp.157-165
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    • 2007
  • Typical meteorological data is fundamental to computer simulation introduced for environment-friendly architecture designs. Therefore, in order to improve accuracy of computer simulation, typical meteorological data should be established. By examining how to choose typical meteorological data, this study selected the optimized weight factor for TRY where weighting factor was not clearly set. As a result, the same weighting factor was applied to each climatic element and TRY data where the weight factor was applied could have the distribution very similar to measurement data. The weighting factor is considered to reflect geographical characteristics of Seoul and applied climatic elements.

Prediction of Chemical and Physical Properties by Climatic Factors in Flue-cured Tobacco (기상요인에 의한 황색종 잎담배의 이화학적 특성 예측)

  • Jeong, Kee-Taeg;Cho, Soo-Heon;Bock, Jin-Young;Lee, Joung-Ryoul
    • Journal of the Korean Society of Tobacco Science
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    • v.29 no.1
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    • pp.1-7
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    • 2007
  • This study was conducted in order to predict the chemical and physical properties by climatic factors during the growing season of flue-cured tobacco as soon as possible. The data of eight chemical and five physical properties were collected from "Analysis of physical and chemical properties on farm leaf tobacco" conducted at KT&G Central Research Institute from 1987 through 2006. Data of climatic factors from April to July in 10 districts were collected from Korea Meteorological Adminstration. Except for yellowness(b), all probabilities of linear regression equations between the climatic factors(X) and the average contents of twelve grades(whole plant) for chemical and physical properties(Y) were significant($P{\leq}0.05$). The predicable probabilities within ${\pm}20%$ range of difference were 100% in ether extract content, in nicotine content, and in filling value, 90% in total nitrogen content, and 70% in total sugar content. These results suggest that the regression equations may be useful to predict the average content of twelve grades for eight chemical and four physical properties by climatic factors during the growing season of flue-cured tobacco at the beginning of August.

Prediction of Chemical and Physical Properties by Climatic Factors in Burley Tobacco (기상요인에 의한 버어리종 잎담배의 이화학적 특성 예측)

  • Jeong, Kee-Taeg;Cho, Soo-Heon;Bock, Jin-Young;Lee, Joung-Ryoul
    • Journal of the Korean Society of Tobacco Science
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    • v.29 no.1
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    • pp.8-13
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    • 2007
  • This study was conducted in order to predict the chemical and physical properties by climatic factors during the growing season of burley tobacco as soon as possible. The data of six chemical and five physical properties were collected from "Analysis of chemical and physical properties on farm leaf tobacco" conducted at KT&G Central Research Institute from 1987 to 2006. Data of climatic factors from April to July in 6 districts were collected from Korea Meteorological Adminstration. Except for total nitrogen, total nitrogen/nicotine and yellowness(b), all probabilities of linear regression equations between the climatic factors(X) and the average contents of twelve grades(whole plant) for chemical and physical properties(Y) were significant($P{\leq}0.05$). The predicable probabilities within ${\pm}20%$ range of difference were 100% in ether extract content, 95% in nicotine content, and 90% in filling value. These results suggest that the regression equations may be useful to predict the average content of twelve grades for four chemical and four physical properties by climatic factors during the growing season of burley tobacco at the beginning of August.

The prediction of contamination degree through the relationship analysis between the climatic factor and ESDD (기후인자와 ESDD간의 상관관계 분석통한 오손도 예측)

  • Lee, W.Y.;Kim, D.Y.;Park, H.S.;Han, S.O.;Park, K.S.
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.07a
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    • pp.440-443
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    • 2003
  • Recently, with the rapid growth of industry, environmental condition became worse. With the mix of the various contaminants, such as, salts, dust and industrial pollutants, synergy effect could be happened. So, many researches have been focused on the issue. The cause of natural accident could be classified as, lightning, rainstorm and contamination. However, the accident by contamination influences on the larger area than that by lightning, and, in the case of rapid contamination, it takes a shorter time than rainstorm. The salt contaminant is one of the most representative pollutants, and known as the main source of the accident by contamination. So, in this investigation we make a research on the prediction of contamination degree through the relationship analysis between the climatic factor and ESDD.

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Correlation Analysis between Climate and Contamination Degree through Multiple Regression Analysis (다중회귀 분석을 통한 기후 및 오손도 간의 상관관계 분석)

  • Kim, Do-Young;Lee, Won-Young;Shim, Kyu-Il;Han, Sang-Ok;Park, Kang-Sik
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.05e
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    • pp.49-52
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    • 2003
  • The performance of insulators under contaminated conditions is the underlying and the most factor that determines insulation design for outdoor applications, Among the contamination factors, The sea salt is the most dangerous factor, and the salt factor have closed relation with climatic conditions, such as wind, temperature, humidity and so on, Effect of these factors to insulation system is different of each other, and need to show the correlation by multiple regression analysis techniques. In this paper, predicted and analyzed equivalent salt deposit density (ESDD) by change climatic condition through multiple regression analysis.

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Wind Erodibility of the Saemangeum Tideland Reclamation Project Area (새만금 간척지에서의 풍식예측에 관하여)

  • Jung, Yeong-Sang;Joo, Jin-Ho;Kwon, Seog-Cheol;Im, Jeong-Nam;Shin, Myeong-Ho;Choi, Kang-Won
    • Korean Journal of Soil Science and Fertilizer
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    • v.37 no.4
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    • pp.207-211
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    • 2004
  • Evaluation of wind erodibility for the Saemangeum Reclamation Project area based on the wind erosion equation, WEQ, was attempted. Climatic factor was calculated with the climatic data for the Kunsan area, and soil erodibility factor was evaluated with the 108 soil samples collected from the project area. The soil erodibility evaluated from the non erodible aggregate percentage greater than 0.84 mm for the soil samples collected was $204.1Mg\;ha^{-1}\;yr^{-1}$ ranged from 50.08 to $642.37ha^{-1}\;yr^{-1}$. The annual climate factor based on the meteorological data in Kunsan was 3.67. The average amount of wind erosion with climate factor C from the climatic data from Kunsan and soil erodibility factor l from the soil in the project area was 7.49 Mg $ha^{-1}$ $yr^{-1}$ ranged from 1.84 Mg $ha^{-1}$ $yr^{-1}$ for silty clay loam soil to 23.57 Mg $ha^{-1}$ $yr^{-1}$ for sandy soil. The intensive wind erosion control should be needed for friable sand and loamy sand soils in the area.

Investigation on the Temperature Characteristics of CWR for the Climate Change (기후변화에 대비한 장대레일 온도특성 연구)

  • Choi, Jin-Yu;Lee, Gyu-Sei;Bae, Hyun-Ung;Park, Beom-Ho;Lim, Nam-Hyoung
    • Journal of the Korean Society for Railway
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    • v.13 no.2
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    • pp.179-185
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    • 2010
  • In order to secure safety for the buckling and fracture of continuous welded rail and improve the efficiency of maintenance work, it is very important that grasp the characteristics of rail temperature. Recently, the maximum air temperature in summer season rises gradually and the minimum air temperature in winter season is decreasing gradually due to the climate change. Therefore, these phenomenon influences in the change amount of yearly rail temperature and can cause change of laying and maintenance temperature. In this study, actual measurement of rail temperature including climatic factors is carried out by constructing the temperature and climate measurement system as realistic as possible. Through the intensive investigation of actual data, it is founded that the existing prediction formulas for rail temperature may be used only in certain climatic conditions (certain combination of climatic factors). It may be more reasonable that the rail temperature considering actual climatic factors in site is predicted on probabilistic approach.

Comparisons of the Pan and Penman Evaporation Trends in South Korea (우리나라 증발접시 증발량과 Penman 증발량 추세 비교분석)

  • Rim, Chang-Soo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.5B
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    • pp.445-458
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    • 2010
  • The effects of geographical and climatic factors on annual and monthly pan and Penman evaporation were analyzed. 52 climatological stations were selected and trend analyses were performed. Furthermore, cluster analysis and multiple linear regression analysis were performed to understand the effects of geographical and climatic factors on pan and Penman evaporation. Based on stepwise multiple linear regression analysis, annual pan evaporation is proved to be mainly controlled by urbanization as geographical factor, and annual pan evaporation is also controlled by temperature, relative humidity, wind speed, and solar radiation as climatic factor. Especially wind speed is considered to be most significant climatic factor which affects pan evaporation. Meanwhile, Penman evaporation is not affected by geographical factors but it is affected by climate factors such as temperature, relative humidity, wind speed, and solar radiation except precipitation. Furthermore, the study results show that only proximity to coast affects pan evaporation trend on July; however, geographical and climatic factors do not affect pan evaporation trends in annual basis and monthly basis (January, April, and October). On the other hand, Penman evaporation trends were not affected by geographical factors in annual and monthly basises.

Neural Networks-Genetic Algorithm Model for Modeling of Nonlinear Evaporation and Evapotranpiration Time Series. 2. Optimal Model Construction by Uncertainty Analysis (비선형 증발량 및 증발산량 시계열의 모형화를 위한 신경망-유전자 알고리즘 모형 2. 불확실성 분석에 의한 최적모형의 구축)

  • Kim, Sung-Won;Kim, Hung-Soo
    • Journal of Korea Water Resources Association
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    • v.40 no.1 s.174
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    • pp.89-99
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    • 2007
  • Uncertainty analysis is used to eliminate the climatic variables of input nodes and construct the model of an optimal type from COMBINE-GRNNM-GA(Type-1), which have been developed in this issue(2007). The input variable which has the lowest smoothing factor during the training performance, is eliminated from the original COMBINE-GRNNM-GA (Type-1). And, the modified COMBINE-GRNNM-GA(Type-1) is retrained to find the new and lowest smoothing factor of the each climatic variable. The input variable which has the lowest smoothing factor, implies the least useful climatic variable for the model output. Furthermore, The sensitive and insensitive climatic variables are chosen from the uncertainty analysis of the input nodes. The optimal COMBINE-GRNNM-GA(Type-1) is developed to estimate and calculate the PE which is missed or ungaged and the $ET_r$ which is not measured with the least cost and endeavor Finally, the PE and $ET_r$. maps can be constructed to give the reference data for drought and irrigation and drainage networks system analysis using the optimal COMBINE-GRNNM-GA(Type-1) in South Korea.