• Title, Summary, Keyword: ISCST model

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Sensitivity Analysis of Air Pollutants Dispersion Model in the Road Neighboring Area Due to the Line Source -The Object on ISCST3, CALINE4 Model- (선 오염원에 의한 도로변 지역으로의 대기확산모델의 민감도 분석 - ISCST3, CALINE4 모델을 중심으로 -)

  • Ahn, Won-Shik;Park, Myung-Hee;Kim, Hae-Dong
    • Journal of Environmental Science International
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    • v.16 no.6
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    • pp.715-723
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    • 2007
  • The air pollutant emission is mainly caused by line sources in urban area. For example, the annually totaled air pollutant emission is known to consist of about 80% of line sources in Daegu. Hence, the appropriate assessment on the air pollutants of line sources is very important for the atmospheric environmental management in urban area. In this study, we made a comparative study to evaluate suitable dispersion model for estimating the air pollution from line sources. Two air pollution dispersion models, ISCST3 and CALINE4 were the subject of this study. The results were as follows; In the assessment of air pollution model, ISCST3 was found to have 4 times higher concentration than CALINE4. In addition, actual data obtained by measurement and estimated values by CALINE4 were generally identical. The air pollution assessment based on ISC3 model produced significantly lower values than actual data. The air pollution levels estimated by ISCST3 were very low in comparison with the observational values.

A Study on the Prediction of $SO_2$ Concentrations by a Regional Segment ISCST3 Model in the Seoul Metropolitan Area (지역분할방법에 의한 ISCST3모델로 수도권지역에서 $SO_2$ 농도 예측 연구)

  • 구윤서;전경석;최한영;신봉섭;신동윤;이정주
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • pp.407-408
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    • 1999
  • 본 연구에서는 서울, 인천, 수원을 포함한 수도권 전지역을 대상으로 SO$_2$ 농도를 가우시안모델인 ISCST3(Industrial Source Complex for Short Term-3)로 예측하고자 한다. ISCST3 모델의 적용 영역이 넓으면 모델영역 내에서 기상조건이 상이하기 때문에 지금까지 이루어진 대부분의 연구들은 공간적으로 제한된 지역을 대상으로 해왔다.(중략)

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Sensitivity Analysis of the Atmospheric Dispersion Modeling through the Condition of Input Variable (입력변수의 조건에 따른 대기확산모델의 민감도 분석)

  • Chung Jin-Do;Kim Jang-Woo;Kim Jung-Tae
    • Journal of Environmental Science International
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    • v.14 no.9
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    • pp.851-860
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    • 2005
  • In order to how well predict ISCST3(lndustrial Source Complex Short Term version 3) model dispersion of air pollutant at point source, sensitivity was analysed necessary parameters change. ISCST3 model is Gaussian plume model. Model calculation was performed with change of the wind speed, atmospheric stability and mixing height while the wind direction and ambient temperature are fixed. Fixed factors are wind direction as the south wind(l80") and temperature as 298 K(25 "C). Model's sensitivity is analyzed as wind speed, atmospheric stability and mixing height change. Data of stack are input by inner diameter of 2m, stack height of 30m, emission temperature of 40 "C, outlet velocity of 10m/s. On the whole, main factor which affects in atmospheric dispersion is wind speed and atmospheric stability at ISCST3 model. However it is effect of atmospheric stability rather than effect of distance downwind. Factor that exert big influence in determining point of maximum concentration is wind speed. Meanwhile, influence of mixing height is a little or almost not.

The Study on the Comparison of the ISCST3 Model and Receptor Model by Dispersion Tracing of Particulate Matter from Large Scale Pollution Sources (대단위배출원에서 기인한 입자상오염물질의 확산ㆍ추적을 통한 ISCST3모델과 수용모델의 비교연구)

  • 전상기;이성철;박경선
    • Journal of Korean Society for Atmospheric Environment
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    • v.19 no.6
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    • pp.789-803
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    • 2003
  • The purpose of this study is to compare the usefulness between Gaussian dispersion model and receptor model with the experimental result of the dispersion tracing of the particulate pollutants from Taean coal-fired power plants. For this purpose, the component analysis of the collected PM 10 samples was performed. In order to trace the pollution sources, factor analysis was done with the result of the component analysis. As a result of the correlativity analysis of the fifteen power plants' profiles offered by US EPA, the correlativity of No.11202 source profile showed highest rate up to 84.5%. Thus it was adopted as proper one and the contribution rate by each pollution source was calculated by Chemical Mass Balance (CMB)-8 model. The contribution rate, which was the effect rate of the power plants on each measuring point, were calculated with a range of 24∼52% and the standard error was below 0.9 $\mu\textrm{g}$/㎥. This indicates the selection of the source profile was appropriate. Also, the concentrations of each point were calculated by the ISCST3 which is suggested by US EPA as one of the regulatory Gaussian dispersion model. The calculation result showed that the predicted concentration was 50∼58 $\mu\textrm{g}$/㎥, comparing with the measured result of 9∼65 $\mu\textrm{g}$/㎥. It was found that the concentration calculated by ISCST3 was underpredicted. It was thought that the receptor model was more favorable than the Gaussian dispersion model in estimating the effect of the particulate matter on a certain receptive point.

The Prediction and Evaluation Air Pollutants Concentration around Industrial Complex by using Atmospheric Dispersion Models -Based on ISCST3, FDM, AERMOD- (대기확산모델을 사용한 공단주변지역의 대기오염물질농도 예측 및 평가 -ISCST3, FDM, AERMOD를 중심으로-)

  • 이화운;원경미;배성정
    • Journal of Environmental Science International
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    • v.8 no.4
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    • pp.485-490
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    • 1999
  • We will calculate concentration of air pollutants using ISCST3, FDM and AERMOD of models recommended in U. S. EPA which are able to predict concentration of short term for point source, complex like industrial complex, power plant and burn-up institution. Before executing model, as analyzing computational result of many cases according to selecting of input data, we will increasing predictable ability of model in limit range of model. Especially, we analyzed three cases-case of considering various emission rate according to time scale and not, case considering effect of atmospheric pollution materials removed by physical process. In our study, after comparing and analyzing results of three model, we choose the atmospheric dispersion model reflected well the characteristic of the area. And we will investigate how large the complex pollutant sources such as industrial complex contribute to atmospheric environment and air quality of the surrounding the area as predicting and estimating chosen model.

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A Study on the Prediction of SO2 Concentrations by the Regional Segment ISCST3 Modeling in the Seoul Metropolitan Area (지역 분할 방법에 의한 ISCST3 모델링으로 수도권 지역에서 SO2 농도 예측 연구)

  • Koo, Youn-Seo;Kim, Sung-Tae;Shin, Bong-Sup;Shin, Dong-Yoon;Lee, Jeong-Joo
    • Journal of Environmental Impact Assessment
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    • v.12 no.4
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    • pp.245-257
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    • 2003
  • $SO_2$ concentrations in the Seoul Metropolitan Area (SMA) were predicted by the regional segment ISCST3 modeling. The SMA was segmented by three modeling regions where the weather monitoring station exists since the area of the SMA, approximately $100km{\times}100km$, is too wide to be modeled by one modeling domain. The predicted concentrations by the model were compared with the measured concentrations at 39 air monitoring stations located in the SMA to validate the ISCST3 modeling coupled with the regional segment approach. The predicted concentrations by the regional segment method showed better performance in depicting the measurements than those by the non-segment ISCST3 modeling. The correction methods of the calculated concentrations reviewed were here the correlation method by the first order linear equation and the ratio method of observed to calculated concentrations. The corrected concentrations by two methods showed good agreement with the measured data. The ratio method was, however, easily applicable to the concentration correction in case of a wide modeling region considered in this study.

Evaluation of INPUFF Model Using METREX Tracer Diffusion Experiment Data (METREX 확산실험 자료를 이용한 INPUFF모델의 평가)

  • 이종범;송은영;황윤성
    • Journal of Korean Society for Atmospheric Environment
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    • v.18 no.6
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    • pp.437-452
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    • 2002
  • The Metropolitan Tracer Experiment (METREX) was performed over the Washington, D.C. area using two inert, non-deposition perfluorocarbon gases for over 1 year period (November 1983∼December 1984). Two perfluorocarbon gas tracers (PDCH, PMCH) were released simultaneously at intervals of every 36 hours for 6 hours, regardless of the meteorological conditions in metropolitan area. Samples were collected continuously for 8 hours at a central downtown and two adjacent suburban locations. Monthly air samples were collected at 93 sites across the whole region (at urban, suburban, and rural locations). The purpose of this study is to simulate INPUFF and ISCST model using METREX data, and to compare calculated and observed concentrations. In the case of INPUFF simulation, two meteorological input data were used. One is result data from wind field model which was calculated by diagnostic wind model (DWM), the other is meteorological data observed at single station. Here, three kinds of model calculation were performed during April and July 1984; they include (1) INPUFF model using DWM data (2) INPUFF model using single meteorological data (3) ISCST model. The monthly average concentration data were used for statistic analysis and to draw their horizontal distribution patterns. Eight-hour-averaged concentration was used to describe movement of puff during the episode period. The results showed that the concentrations calculated by puff model (INPUFF) were better than plume model (ISCST). In the case of puff model (INPUFF), a model run using wind field data produced better results than that derived by single meteorological data.

Management Scheme According to Characteristics of PM-10 Occurred from Large Scale Development Site (대규모 단지조성 미세먼지 관리 방안)

  • Kwon, Woo-Taeg;Lee, Woo-Sik;Hong, Sang-Pyo
    • Journal of Environmental Impact Assessment
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    • v.22 no.1
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    • pp.79-87
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    • 2013
  • The purpose of this study is to establish PM-10 management manual for developing large scale sites by assessing the status of PM-10 reduction at ongoing large scale development sites. After analyzing the meteorological conditions and air quality characteristics of Sihwa MTV development site, ISCST3 (Industrial Source Complex Short Term Model 3) was implemented to predict PM-10 generation. The outcomes of ISCST3 modelling were utilized for verification of site survey data. As a result of applying air pollution modeling, the diffusion rate of PM-10 decreases according as the wind speed decreases. And the emission rate of PM-10 increase is linear to the concentration of PM-10. The reduction target of PM-10 can be derived quantitatively from the difference between the forecasted emission rate and the permissible emission limit of PM-10. The assessment of PM-10 characteristics which is deduced from ISCST3 and site survey can be practically applied to accomplish environmentally acceptable air quality manual for large scale development sites.

Performance of ISC model-Predicting short-term concentrations around waste incinerator plant (ISC모델의 적용성 평가 - 소각장 주변지역의 단기농도예측)

  • 정상진
    • Journal of Environmental Science International
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    • v.12 no.7
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    • pp.809-816
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    • 2003
  • The short-term version of Industrial Source Complex Model(ISCST3) was evaluated for estimating short-term concentrations using criteria pollutant(SO$_2$, NO$_2$, CO, PM10) data from emission inventory of Young Tong area in Suwon for the year 2002. The contribution of pollutant concentration from point, line, area sources was found 21.8, 76.5 and 1.6%. Statistical parameters, such as correlation coefficient, index of agreement(IA), normalized mean square error(NMSE) and fractional bias(FB) were calculated for each pollutants. The model performance were found good for PM10(82%) and NO$_2$(69%), but poor for SO$_2$(34%) and CO(13%).

A study on the Assessment of the Predictability of the APSM (APSM의 예측능 평가에 관한 연구)

  • 박기하;윤순창
    • Journal of Environmental Science International
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    • v.12 no.3
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    • pp.265-274
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    • 2003
  • The Pasquill-Gifford stability category is a very important scheme of the Gaussian type dispersion model defined the complex turbulence state of the atmosphere by A grade(very unstable) to F grade(very stable). But there has been made a point out that this stability category might decrease the predictability of the model because it was each covers a broad range of stability conditions, and that they were very site specific. The APSM (Air Pollution Simulation Model) was composed of the turbulent parameters, i.e. friction velocity(${\mu}$$\_$*/), convective velocity scale($\omega$$\_$*/) and Monin-Obukhov length scale(L) for the purpose of the performance increasing on the case of the unstable atmospheric conditions. And the PDF (Probability Density Function)model was used to express the vertical dispersion characteristics and the profile method was used to calculate the turbulent characteristics. And the performance assessment was validated between APSM and EPA regulatory models(TEM, ISCST), tracer experiment results. There were very good performance results simulated by APSM than that of TEM, ISCST in the short distance (<1415 m) from the source, but increase the simulation error(%) to stand off the source in others. And there were differences in comparison with the lateral dispersion coefficient($\sigma$$\_$y/) which was represent the horizontal dispersion characteristics of a air pollutant in the atmosphere. So the different calculation method of $\sigma$$\_$y/ which was extrapolated from a different tracer experiment data might decrease the simulation performance capability. In conclusion, the air pollution simulation model showed a good capability of predict the air pollution which was composed of the turbulent parameters compared with the results of TEM and ISCST for the unstable atmospheric conditions.