• 제목/요약/키워드: Ground-level air pollutant concentrations

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관측 기반 지상 대기오염물질 농도와 대기혼합고의 변동성 및 상관관계 분석 (Analysis of the Variability and Correlation between Ground-Level Air Pollutant Concentrations and Atmospheric Mixing Layer Height based on Observations)

  • 김현경;정희정;박정민;신혜정;이그림;이규영;김해리;엄준식
    • 대기
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    • 제34권3호
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    • pp.283-304
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    • 2024
  • This study analyzed the variability and correlation between ground-level air pollutant concentrations and the atmospheric mixing layer height using data from four types of air pollutants (PM2.5, PM10, NO2, and O3) collected at AirKorea monitoring stations nationwide over a five-year period (2018~2022), and aerosol backscatter data observed by the Vaisala CL31 to derive atmospheric mixing layer heights. The five-year trends and variability of ground-level air pollutant concentrations under seasonal and hourly conditions were examined, as well as the seasonal distribution and diurnal variation of the atmospheric mixing layer height. Five correlation coefficient methodologies were applied to analyze the correlations between ground-level air pollutants and atmospheric mixing layer height under various seasonal and hourly conditions, confirming the dilution effect of the atmospheric mixing layer height. The results showed that PM2.5, PM10, and NO2 generally had negative correlations with the atmospheric mixing layer height, while O3 showed a strong positive correlation up to an altitude of 1,200~1,500 meters, and a negative correlation beyond that altitude. It was also shown that a single high concentration event (e.g., PM10) can alter the overall correlation. The correlation can also vary depending on the characteristics of the correlation coefficient methodology, highlighting the importance of applying the appropriate methodology for each case during the analysis process.

제주도 고산 측정소에서의 대기오염 배경농도 측정 및 분석 (Analysis of Air Pollution Concentrations at Cheju Baseline Measurement Station)

  • 박경윤;이호근;서명석;장광미;강창희;허철구;김영준
    • 한국대기환경학회지
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    • 제10권4호
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    • pp.252-259
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    • 1994
  • A ground station has been established at Kosan, Cheju Island, since January of 1992 for the monitoring of background air Pollutant levels in Korea. Anthropogenic pollutant sources and meteorological conditions of Kosan were surveyed. Concentrations of SO$_2$, NO, NO$_{y}$ and $O_3$, were measured and analyzed for the period of February through December, 1992. The annual means of NO and SO$_2$, levels were very low in comparison to other urban's levels and similiar to other country's background levels. The annual mean of $O_3$, level was higher than urban's but comparable to other coastal region's. The NO concentration showed a distinct seasonal and diurnal variations. Summer peak was detected in the monthly means of NO and smooth peak around noon was found in the annual means of hourly data. Diurnal variation of the SO$_2$ concentration was barely detected but a slice increase in winter was detected. The $O_3$, concentration data, however, showed seasonal and diurnal variations similar to the urban's.an's.

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Spatiotemporal variations and source apportionment of NOx, SO2, and O3 emissions around heavily industrial locality

  • Al-Harbi, Meshari;Al-majed, Abdulrahman;Abahussain, Asma
    • Environmental Engineering Research
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    • 제25권2호
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    • pp.147-162
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    • 2020
  • The main objective of this study is to estimate the levels of pollution to which the community is presently exposed and to model the regimes of local air quality. Diurnal, daily, and monthly variations of NO, NO2, SO2, and O3 were thoroughly investigated in three areas; namely, residential, industrial, and terminal in Ras Al-Khafji. There is obvious diurnal variation in the concentration of these pollutants that clearly follows the diurnal variation of atmospheric temperature and main anthropogenic and industrial activities. Correlation analysis showed that meteorological conditions play a vital role in shaping the pattern and transportation of air pollutants and photochemical processes affecting O3 formation and destruction. Bivariate polar plots, an effective graphical tool that utilizes air pollutant concentrations' dependence on wind speed and wind direction, were used to identify prevailing emission sources. Non-buoyant ground-level sources like domestic heating and street transport emissions, various industrial stacks, and airport-related activities were considered dominant emission sources in observatory sites. This study offers valuable and detailed information on the status of air quality, which has considerable, quantifiable, and important public health benefits.

광역적 이동 연무 탐지를 위한 지상 질량 농도를 고려한 적외채널 밝기온도차 경계값 범위 분석 (An Analysis of the Range of Brightness Temperature Differences Associated with Ground Based Mass Concentrations for Detecting the Large-scale Transport of Haze)

  • 김학성;정용승;조재희
    • 한국지구과학회지
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    • 제37권7호
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    • pp.434-447
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    • 2016
  • 2011-2015년 동안 한국 중부 태안과 청주 강내의 배경 관측지점에서 측정한 PM10, PM2.5 질량 농도를 분석하였다. 황사 사례를 제외한 PM10 질량 농도의 계절변동에서 겨울-봄 동안 높은 농도는 서풍 기류에 의한 영향이 반영되고 있으며, 여름에는 북태평양 기단과 잦은 강수로 낮은 수준을 보이고 있었다. 따라서, 일평균 PM10 질량 농도 $81{\mu}gm^{-3}$ (미세먼지 예보 '약간 나쁨' 이상) 이상의 사례도 겨울-봄 동안에 발생이 많으며, 특히 중국 동부 배출원에 가까운 태안에서 더 많은 사례가 발생하고 있었다. 인위적으로 발생한 연무는 입경 $2.5{\mu}m$ 미만 입자의 구성 비율이 높다. 천리안 위성의 밝기온도차 분석에서 대기와 입자가 작은 연무는 $-0.5^{\circ}K$ 이상에서 관측된다. 2011-2015년 동안 태안과 청주 강내에서 관측한 연무 사례일의 PM10 질량 농도와 NOAA 19 위성 밝기온도차를 분석하였다. PM10 질량 농도는 $200{\mu}g\;m^{-3}$ 보다 낮지만, PM2.5/PM10 질량 농도비는 0.4보다 높고 밝기온도차는 $-0.3-0.5^{\circ}K$ 범위에 분포하고 있었다. 그러나, PM10 질량 농도 $190{\mu}g\;m^{-3}$ 이상인 황사 사례의 밝기온도차는 PM2.5/PM10 질량 농도비가 0.4보다 낮고, 밝기온도차는 $-0.7^{\circ}K$ 이하의 범위에 분포하고 있었다. 이러한 연무의 밝기온도차 경계값 범위를 적용한 결과는 MODIS AOD, OMI AI의 에어로졸 분포 범위와 일치하였다.