• 제목/요약/키워드: Atmospheric environment data

검색결과 1,149건 처리시간 0.027초

난지도지역의 수은배출특성 연구: 배출공 내부의 농도와 배출공을 통한 수은플럭스의 관측 (Studies of Hg Concentrations and Fluxes in the Ventpipes Determined from a Large Landfill Site)

  • 김민영;김기현;조석주
    • 한국대기환경학회지
    • /
    • 제17권4호
    • /
    • pp.299-312
    • /
    • 2001
  • The analysis of vent -emitted Hg concentrations and relevant environmental parameters was made from the inlet of 42 ventpipes in Nan-Ji-Do area of Seoul during September/october of 2000. Using these data, the fluxes of Hg from the ventpipes were also derived. The mean concentration of Hg, computed using the data sets collected from 42 ventpipes, was 420$\pm$619ng m$^{-3}$ with the range of 3.45~2,952ng m$^{-3}$ . Because of large differences in concentration levels between two sectors 1 and 2 and between plain and slope areas. evaluation of the data was made by dividing them into four different categories such as plain areas of sectors 1 and 2 (and/or slope areas of sectors 1 and 2). When this classification was applied, the computed fluxes were highly different among each group with the generally enhanced fluxes in plain area relative to slope area. The computed fluxes were then used to make comparative analysis of different source processes in the study area.

  • PDF

우리나라에 적합한 국지확산모델의 개발방향 (On the Development of Local Air Pollution Dispersion Models for Application to Korea)

  • 이종범
    • 한국대기환경학회지
    • /
    • 제11권1호
    • /
    • pp.15-28
    • /
    • 1995
  • Over the last two decades, air quality models have been developed and used in the United States. Many of these models ate distributed as parts of UNAMAP. These models have been used as useful tools for urban air quality management in Korea. However, when we use these models, many problems could be occured because of their different topographical and meteorological conditions. In the present study it is described that the characteristics about developement of the local scale diffusion models for application to Korea. Also for evaluation purpose of the models, input data requirements such as air pollutant concentrations, emission inventory, meteorological data, and field experiment data, were discussed.

  • PDF

대기부유분진 중 미량 금속원소의 입경별 농도분포에 관한 연구 (A Study on the Size Distribution of Trace Metals Concentrations in the Ambient Aerosols)

  • 신훈중;이태정;김동술
    • 한국대기환경학회지
    • /
    • 제12권1호
    • /
    • pp.67-77
    • /
    • 1996
  • Total suspended particulate matters (TSP) were collected based on a size segregation method by a cascade impactor for 6 consecutive years (form Dec. 1989 to sep. 1994) in the Kyung Hee University-Suwon Campus, and 6 trace metals (Ca, Si, Fe, Pb, Cu, Zn) were determined by an x-ray fluorescence spectroscopy. Total number of samples collected during the study are 118 sets and each set of sample comsists of 9 filters. The levels of TSP and 6 trace metals were then used to examine seasonal and annual variations with respects to their size distributions. For statistical analyses, raw data were initially transformed by both logarithmic and root transformating to approximately normalize them, and then size distribution functions for each trace element were separately developed season-to-season by a regression analysis in order to obtain maximum amount of physical information, Subsequently, each developed model was verified by comparing with supervised data collected on 1994. The result showed that each prediction model was in good agreement except the fall, partly due to lack of the data collected on fall, 1994.

  • PDF

10m 타워 플럭스자료의 품질검증과 활용 방안 (Quality Control and Application of 10 m Tower Flux Data)

  • 최태진;홍진규;김준
    • 한국농림기상학회:학술대회논문집
    • /
    • 한국농림기상학회 2001년도 춘계 학술발표논문집
    • /
    • pp.5-7
    • /
    • 2001
  • 수평적으로 균질한 지면 상태에서 에디 공분산 방법을 이용한 지표 플럭스 관측의 수평 규모는 측정 높이의 약 100 ∼ 200배이다(예, 최태진 등, 1999). Bottom-up 입장에서, 이 수평 규모는 지면 과정을 포함한 수치예보 모형이나 보다 큰 규모의 모형의 격자 간격보다 상당히 작다. 또한 실질적으로 자연 상태의 지면 조건은 엄밀한 의미에서 균질하지 않으며, 특히 우리나라의 경우는 지면 불균질성이 뚜렷이 나타난다.(중략)

  • PDF

한반도 주변에서 MODIS와 NCEP/NCAR 재분석 자료를 이용한 에어로졸과 구름의 연관성 분석 (An Analysis of Aerosol-Cloud Relationship Using MODIS and NCEP/NCAR Reanalysis Data around Korea)

  • 김유준;이진화;김병곤
    • 한국대기환경학회지
    • /
    • 제27권2호
    • /
    • pp.152-167
    • /
    • 2011
  • MODIS/Terra level 3 and NCEP/NCAR Reanalysis data from 2001 to 2008 have been analyzed to understand long-term aerosol and cloud optical properties, and their relationships around Korea. Interestingly, cloud fraction(CF) has the similar annual variation to aerosol optical depth (${\tau}_a$) without any temporal significant trend. Horizontal distributions of ${\tau}_a$ showed the substantial horizontal gradient from China to Korea, especially with the strong difference over the Yellow Sea, which could represent the evidence of the anthropogenic influence from China in the perspective of long-term average. Specifically the negative correlations between ${\tau}_a$ and liquid-phase cloud effective radius ($r_e$) were shown on the monthly-average basis, only in summer with significant associations over the Yellow Sea, but not in the other seasons and/or specific regions. Relationship between ${\tau}_a$ and CF for the low-level liquid-phase clouds exhibited the overall positive correlation, being consistent with cloud lifetime effect. Meanwhile static stability showed no deterministic relationships with ${\tau}_a$ as well as CF. The dependence of aerosol-cloud relationship on the meteorological conditions should be examined more in detail with the satellite remote sensing and reanalysis data.

서해안 안흥에서 관측된 에어로솔의 농도 변화 및 크기분포 특성 (Characteristics of Aerosol Mass Concentrations and Size Distribution Measured at Anheung, Korea)

  • 이권호;이규태;김정호;문관호;안준모
    • 한국대기환경학회지
    • /
    • 제34권5호
    • /
    • pp.677-686
    • /
    • 2018
  • An intensive measurement was conducted to study the mass and number concentrations of atmospheric aerosols in Anheung ($36.679^{\circ}N$, $126.186^{\circ}E$), the west coastal measurement site of Korea during December 2017~April 2018. To evaluate relationships between the aerosols and meteorological parameters, comparisons of Optical Particle Counter (OPC) measured data and Auto Weather System (AWS) data were performed. Measured PM mass concentrations are $PM_{10}=42.814{\pm}30.103{\mu}g/m^3$, $PM_{2.5}=29.674{\pm}25.063{\mu}g/m^3$, $PM_1=28.958{\pm}24.658{\mu}g/m^3$, respectively. The PM ratios showed that the $PM_{10}$ concentrations contained about 67.8% of $PM_{2.5}$, while most part of $PM_{2.5}$ was $PM_1$ (about 97.1%). Timely collocation with AWS data were performed, exploring relations with the PM concentrations. PM concentrations can be explained by wind direction and relative humidity conditions. The significant reductions of fine particles in mass and number concentrations may attribute to actions on particle growth and wet removal. In these results, we suppose that the aerosol concentrations and size distributions are affected by inflow direction and air mass sources from the origin.

신경망 모형을 이용한 태풍시기의 남해안 기압예측 연구 (Study on the Sea Level Pressure Prediction of Typhoon Period in South Coast of the Korean Peninsula Using the Neural Networks)

  • 박종길;김병수;정우식;서장원;손용희;이대근;김은별
    • 대기
    • /
    • 제16권1호
    • /
    • pp.19-31
    • /
    • 2006
  • The purpose of this study is to develop the statistical model to predict sea level pressure of typhoon period in south coast of the Korean Peninsula. Seven typhoons, which struck south coast of the Korean Peninsula, are selected for this study, and the data for analysis include the central pressure and location of typhoon, and sea level pressure and location of 19 observing site. Models employed in this study are the first order regression, the second order regression and the neural network. The dependent variable of each model is a 3-hr interval sea level pressure at each station. The cause variables are the central pressure of typhoon, distance between typhoon center and observing site, and sea level pressure of 3 hrs before, whereas the indicative variable reveals whether it is before or after typhoon passing. The data are classified into two groups - one is the full data obtained during typhoon period and the other is the data that sea level pressure is less than 1000 hPa. The stepwise selection method is used in the regression model while the node number is selected in the neural network by the Schwarz's Bayesian Criterion. The performance of each model is compared in terms of the root-mean square error. It turns out that the neural network shows better performance than other models, and the case using the full data produces similar or better results than the case using the other data.

고해상도 수치예보모델을 위한 수도권지역의 상세한 도시특성정보 구축 및 사례 분석 (Construction and Case Analysis of Detailed Urban Characteristic Information on Seoul Metropolitan Area for High-Resolution Numerical Weather Prediction Model)

  • 이한경;지준범;이채연;민재식
    • 대기
    • /
    • 제29권5호
    • /
    • pp.567-583
    • /
    • 2019
  • In this study, the high-resolution numerical simulations considering detailed anthropogenic heat, albedo, emission and roughness length are analyzed by using single layer Urban Canopy Model (UCM) in Weather Research Forecast (WRF). For this, improved urban parameter data for Seoul Metropolitan Area (SMA) was collected from global data. And then the parameters were applied to WRF-UCM model after it was processed into 2-dimensional topographical data. The 6 experiments were simulated by using the model with each parameter and verified against observation from Automated Weather Station (AWS) and flux tower for the temperature and sensible heat flux. The data for sensible heat flux of flux towers on Jungnang and Bucheon, the temperature of AWS on Jungnang, Gangnam, Bucheon and Neonggok were used as verification data. In the case of summer, the improvement of simulation by using detailed anthropogenic heat was higher than the other experiments in sensible flux simulation. The results of winter case show improved in all simulations using each advanced parameters in temperature and sensible heat flux simulation. Improvement of urban parameters in this study are possible to reflect the heat characteristics of urban area. Especially, detailed application of anthropogenic heat contributed to the enhancement of predicted value for sensible heat flux and temperature.

이상적인 중립 대기경계층에서 라그랑지안 단일입자 모델의 평가 (Evaluation of One-particle Stochastic Lagrangian Models in Horizontally - homogeneous Neutrally - stratified Atmospheric Surface Layer)

  • 김석철
    • 한국대기환경학회지
    • /
    • 제19권4호
    • /
    • pp.397-414
    • /
    • 2003
  • The performance of one-particle stochastic Lagrangian models for passive tracer dispersion are evaluated against measurements in horizontally-homogeneous neutrally-stratified atmospheric surface layer. State-of-the-technology models as well as classical Langevin models, all in class of well mixed models are numerically implemented for inter-model comparison study. Model results (far-downstream asymptotic behavior and vertical profiles of the time averaged concentrations, concentration fluxes, and concentration fluctuations) are compared with the reported measurements. The results are: 1) the far-downstream asymptotic trends of all models except Reynolds model agree well with Garger and Zhukov's measurements. 2) profiles of the average concentrations and vertical concentration fluxes by all models except Reynolds model show good agreement with Raupach and Legg's experimental data. Reynolds model produces horizontal concentration flux profiles most close to measurements, yet all other models fail severely. 3) With temporally correlated emissions, one-particle models seems to simulate fairly the concentration fluctuations induced by plume meandering, when the statistical random noises are removed from the calculated concentration fluctuations. Analytical expression for the statistical random noise of one-particle model is presented. This study finds no indication that recent models of most delicate theoretical background are superior to the simple Langevin model in accuracy and numerical performance at well.

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

  • 이종범;송은영;황윤성
    • 한국대기환경학회지
    • /
    • 제18권6호
    • /
    • pp.437-452
    • /
    • 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.