• 제목/요약/키워드: high-$PM_{10}$ haze days

검색결과 14건 처리시간 0.025초

춘천시 미세먼지 농도의 장기변동 추세 (Long-term Trend of Atmospheric Concentrations of Fine Particles in Chuncheon, Korea)

  • 양지혜;김성락;정진희;한영지
    • 한국대기환경학회지
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    • 제27권5호
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    • pp.494-503
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    • 2011
  • Fine particles ($PM_{2.5}$) were collected and analyzed from December 2005 through December 2009 in Chuncheon, Korea to investigate the long-term trend of $PM_{2.5}$ concentrations. Also $PM_{10}$ concentrations were collected from Environmental Monitoring System operated by Ministry of Environment. Average concentrations of $PM_{2.5}$ and $PM_{10}$ were 30.5 and 58.2 ${\mu}g/m^3$, respectively. Both $PM_{2.5}$ and $PM_{10}$ were significantly affected by meteorological factors including wind speed, wind direction and precipitation. They generally decreased as wind speed increased (p=0.000), and increased when there was a prevailing westerly wind. Low concentrations of $PM_{2.5}$ were observed during rainy days while high concentrations were shown when fog, mist and/or haze occurred.

기상인자가 미세먼지 농도에 미치는 영향 (The Influence of Meteorological Factors on PM10 Concentration in Incheon)

  • 신문기;이충대;하현섭;최춘석;김용희
    • 한국대기환경학회지
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    • 제23권3호
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    • pp.322-331
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    • 2007
  • In this study, we have analyzed $PM_{10}$ concentration measured at Incheon Regional Air Monitoring Network (10 stations) and meteorological data at Incheon Weather Station to investigate factors (i.e. wind direction, wind speed, relative humidity, major meteorological phenomenon, and sea-land breezes existence) influencing $PM_{10}$ concentration in Incheon during 2005. Statistical differences among meteorological factors were assessed by Kruskal-Wallis test or Mann-Whitney U test. The main conditions causing high $PM_{10}$ concentration are summarized below; 1. When westerly wind prevailed (however, $PM_{10}$ decreased when winds were blowing from the east or north). 2. When the winds were calm, owing to accumulation of nearby emissions under stagnant conditions, or when the wind speed is in excess of 6 m/s, which shows the effect of fugitive dust produced by wind erosion. 3. Under the condition of high relative humidity and poor diffusion based on meteorological phenomenon such as fog, mist, and haze. 4. When the Sea-Land breezes existed, which occurred 70 days in Incheon during 2005 and contributed significantly to high $PM_{10}$ concentration in the coastal urban area. In conclusion, we have found that the meteorological factors have influence on $PM_{10}$ concentration in Incheon.

WRF-Chem 모델을 활용한 동아시아의 인위적 배출량 변동에 따른 한국 미세 먼지 장거리 수송 기여도 분석 (Analysis of the Long-Range Transport Contribution to PM10 in Korea Based on the Variations of Anthropogenic Emissions in East Asia using WRF-Chem)

  • 이혜진;조재희
    • 한국지구과학회지
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    • 제43권2호
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    • pp.283-302
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    • 2022
  • 2020년 1월 23일 이후 중국에서 신종 코로나바이러스 감염증(COVID-19)으로 인한 봉쇄 조치가 전국으로 확대되고 있었다. 그러나, 한국에서는 2020년 2월 1-2일에 PM10 질량농도 일평균 최대 88-98 ㎍ m-3의 고농도 연무가 발생하였다. 이 기간에 동아시아 지역은 850 hPa 기온 아노말리가 양(+), 동서류 아노말리는 음(-)으로 온난하고 정체적인 기단의 영향을 받고 있었다. 동아시아 지역의 인위적 배출량 감소에 따른 한국의 PM10 장거리 수송의 영향을 분석하기 위하여 WRF-Chem을 활용하였다. WRF-Chem에 인위적 배출량을 변화 없이 적용한 BASE와 인위적 배출량을 50%로 감소시켜 적용한 CTL의 PM10을 한국의 지상 측정값과 민감도 분석을 수행하였다. CTL에서 PM10의 IOA는 0.71로 BASE의 0.67보다 높게 나타났다. 이것은 중국의 COVID-19 봉쇄 조치로 인해 인위적 배출량이 감소한 것으로 분석된다. 또한, 한국 이외의 지역 배출량을 0으로 설정한 BASE_ZEOK와 CTL_ZEOK를 모의하여 BASE와 CTL에서의 장거리 수송 기여도의 변동을 분석하였다. CTL은 BASE와 비교하여 배출량이 50%로 감소하였지만 PM10 장거리 수송 기여도는 10-20% 감소한 것으로 나타났다. 동아시아 지역의 배출량 감소에 따라 풍하측 한국의 PM10 장거리 수송 기여도 변동이 선형적으로 반응하지 않는 것은 종관 기상 변동이 영향을 주는 것으로 보인다. 2월 1-2일 한국의 고농도 PM10 연무 사례에 대한 CTL에서 PM10 에어로졸 성분의 장거리 수송 기여도는 기타 무기물이 80-90%로 가장 높았고, 질산염은 30-60%, 황산염은 0-20%, 암모늄은 30-60%를 나타내고 있었다. 중국의 봉쇄 조치로 인하여 교통 및 물류 수송이 감소하면서 2차 에어로졸이 감소한 것으로 보인다.

광주광역시 대기오염측정소 주변 교통량이 대기질에 미치는 영향 (The Effect of Traffic Volume on the Air Quality at Monitoring Sites in Gwangju)

  • 이대행;안상수;송형명;박옥현;박강수;서광엽;조영관;김은선
    • 한국환경보건학회지
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    • 제40권3호
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    • pp.204-214
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    • 2014
  • Objectives: Vehicular emissions are one of the main sources of air pollution in urban areas. Correlation analysis was conducted between air pollutants and traffic volume in order to identify causes of air pollution in Gwangju. Methods: Using traffic volumes and air quality monitoring data from 2002 to 2012 from nine stations (seven urban areas, two roadside areas), especially at three sites where traffic volumes were high, the correlation coefficients were obtained between air pollutants as PM-10 (particulate matter), $NO_2$, $SO_2$, CO and $O_3$ at the stations and traffic volumes near the air monitoring stations. Results: Due to traffic volume and distance between the station and the traffic road, concentrations of pollutants at roadside areas were higher than at urban areas, with the exception of $O_3$. The concentration of $O_3$ showed statistically significance with those of other gas materials as $NO_2$, $SO_2$, and CO in winter (p<0.001) and spring (p<0.05). During the period of October 7 to 20, 2012, excluding periods of yellow dust, smog and rainy season, the ratio of $NO/(NO+NO_2)$ showed the highest value 0.57 and 0.40 at Unam and Chipyeong of two roadside stations, followed by 0.35 at Nongseong with vehicular effects. The correlation coefficient between traffic volume and $O_3$, CO, $NO_2$ became higher when the data on mist and haze days were excluded, than when all hourly data were used in that period, at the three sites of Unam, Chipyeong, and Nongseong. Conclusions: Air quality showed a considerable effect from vehicles at roadside areas compared to in urban areas. Air pollutant diminishment strategies need to be aggressively adopted in order to protect atmospheric environment.