• Title/Summary/Keyword: Concentration Estimation

Search Result 944, Processing Time 0.024 seconds

Effect on the PM10 Concentration by Wind Velocity and Wind Direction (풍속과 풍향이 미세먼지농도에 미치는 영향)

  • Chae, Hee-Jeong
    • Journal of environmental and Sanitary engineering
    • /
    • v.24 no.3
    • /
    • pp.37-54
    • /
    • 2009
  • The study has analyzed impacts and intensity of weather that affect $PM_{10}$ concentration based on PM10 forecast conducted by the city of Seoul in order to identify ways to improve the accuracy of PM10 forecast. Variables that influence $PM_{10}$ concentration include not only velocity and direction of the wind and rainfalls, but also those including secondary particulate matter, which were identified to greatly influence the concentration in complicated manner as well. In addition, same variables were found to have different impacts depending on seasons and conditions of other variables. The study found out that improving accuracy of $PM_{10}$ concentration forecast face some limits as it is greatly influenced by the weather. As an estimation, this study assumed that basic research units and artificially estimated pollutant emissions, study on mechanisms of secondary particulate matter productions, observatory compliment, and enhanced forecaster's expertise are needed for better forecast.

Estimation of stress concentration factor in bolt jointed structure with variable preload (체결력에 따른 볼트 결합구조물의 응력집중계수 평가)

  • 송준혁
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
    • /
    • 1998.03a
    • /
    • pp.298-303
    • /
    • 1998
  • Most of mechanical structures are combined of substructures such as beam and/or plates. There are few system with unibody structures but are not a few systems with united body structures. Generally the dynamic analysis of whole structures is perform ed under alternating load. However, the analysis of each joint area is more important than others for zero severity. This paper presents the results of analysis of concentration stress in bolt jointed structure with variable preload. At frist, a static vibration test was performed to find out a nominal stress of bolt joint ed plates from the relationship between natural frequency and nominal stress. Then a concentration stress was computed at contact point between bolt and plate in the structure. It is believed that the proposed method has promising implications for safer design with fatigue quality index of stress concentration factor and has merit for cost down and saving time at the beginning of vehicle development.

  • PDF

Estimation of Occurrence Frequency of Short Term Air Pollution Concentration Using Texas Climatological Model (Texas Climatological Model에 의한 短期 大氣汚染濃度 發生頻度의 推定)

  • Lee, Chong-Bum
    • Journal of Korean Society for Atmospheric Environment
    • /
    • v.4 no.2
    • /
    • pp.67-71
    • /
    • 1988
  • To estimate the probability of short term concentration of air pollution using long term arithmetic average concentration, the procedure was developed and added to Texas Climatological Model version 2. In the procedure, such statistical characteristics that frequency distribution of short term concentration may be approximated by a lognormal distribution, were applied. This procedure is capable of estimating not only highest concentration for a variety of averaging times but also concentrations for arbitrary occurrence frequency. Evaluation of the procedure with the results of short term concentrations calculated by Texas Episodic Model version 8 using the meteorological data and emission data in Seoul shows that the procedure estimates concentrations fairly well for wide range of percentiles.

  • PDF

Effect of Estimation for Time of Concentration on the Design Flood (홍수도달시간 산정방법이 설계홍수량에 미치는 영향)

  • Kwon, Ki Dae;Lee, Jun Ho;Kang, Mi Jeong;Jee, Hong Kee
    • Journal of Wetlands Research
    • /
    • v.16 no.1
    • /
    • pp.125-137
    • /
    • 2014
  • In this study, that the Kraven(II) empirical formula, the existing method to estimate the time of concentration in river basin, does not reflect the characteristics of relevant basin as it presents 3 stream velocities by section of slope was verified, and the time of concentration for the actual average stream velocity considering the characteristics of the basin was compared and analyzed by applying the continuous Kraven empirical formula, which was suggested recently by 'Design Flood Estimation Guide Line, 2012, Ministry of Land, Transport and Maritime Affairs' complementing the stream velocities for the easy slope and the steep slope, to the Donghwa-Cheon, the medium size river and the modality of changes in hydrograph was examined, For the Maeho-Cheon, Wuksu-Cheon and Geumpo-Cheon, the flood runoff simulation results according to the time of concentration application empirical formula considering the characteristics of relevant basin were compared and analyzed and following conclusions were able to obtain.

Estimation of Sediment Concentration Factor based on Entropy Theory (엔트로피 이론 기반의 유사농도 인자 산정)

  • Kim, Yeong-Sik;Nam, Yoon-Chang;Jeon, Hae-Sung;Jeon, Kun-Hak;Choo, Yeon-Moon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.21 no.10
    • /
    • pp.325-333
    • /
    • 2020
  • Current methods of measuring the sediment concentration of natural streams can be affected by weather conditions and have lower reliability in bed-load sections due to mechanical limits. Theoretical methods have to be used to solve this problem, but they have low reliability compared to the measured values and diverse results for the bed-load sediment concentration. This study proposes a new way to reliably determine the bed-load sediment concentration from the relation with theoretical depth-integrated concentration based on the informational entropy concept. Sediment distribution shows a uniform probability distribution under maximized entropy conditions under some constraints, so a function can be calculated for the sediment distribution and depth-integrated concentration. The parameters of a stream were estimated by a nonlinear regression method using the concentration data from a past experiment. Equilibrium N (EN) was estimated using the relation between two different formulas proposed in this study, which can ease the estimation of both the total sediment distribution and depth-integrated sediment concentration with high reliable results with an average R2 of 0.924.