• Journal of Environmental Impact Assessment
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• v.30 no.4
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• pp.237-246
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• 2021

The similarity of hourly PM₁₀ and PM_2.5 concentration profiles of the atmospheric monitoring stations in Gyeonggi-do was evaluated through the multilateral analysis between stations. The existing category for most stations in the regions shows relatively low Pearson correlation values of 0.68 and 0.7 for PM₁₀ and PM_2.5 on average respectively, and some monitoring stations revealed high relationships over 0.8 to other regions. Since the current regions are mainly categorized by cluster analysis based on the number of occurrence of high concentration events and geological factors, it is necessary to reclassify them by concentration characteristics for precise fine dust management. In accordance, multi-dimensional scaling being able to visualize could categorize the regions based on regional emission contribution rate and hourly fine dust concentration. As a result of the current analysis, PM₁₀ and PM_2.5 could be reclassified into five regions and fourregions, respectively.

• Journal of the Korean earth science society
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• v.35 no.1
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• pp.1-18
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• 2014

The purpose of this study was to analyze the sensitivity of meteorological fields and the variation of concentration of particulate matters (PMs) due to aerosol schemes and dust options within the WRF-Chem model to estimate Asian dusts affected on 29 May 2008 in the Korean peninsula. The anthropogenic emissions within the model were adopted by the $0.5^{\circ}{\pm}0.5^{\circ}$ RETRO of the global emissions, and the photolysis option was by Fast-J photolysis. Also, three scenarios such as the RADM2 chemical mechanism and MADE/SORGAM aerosol, the MOSAIC 8 section aerosol, and the GOCART dust erosion were simulated for calculating Asian dust emissions. As a result, the scenario of the RADM2 chemical mechanism & MADE/SORGAM aerosol depicted higher concentration than the others' in both Asian dusts and the background concentration of PMs. By comparing of the daily mean of PM10 measured at each air quality monitoring site in Seoul with the scenario results, the correlation coefficient was 0.67, and the root mean square error was $44{\mu}gm^{-3}$. In addition, the air temperature, the wind speed, the planetary boundary layer height, and the outgoing long-wave radiation were simulated under conditions of no chemical option with these three scenarios within the WRF or WRF-Chem model. Both the spatial distributions of the PBL height and the wind speed of u component among the meteorological factors were similar to those of the Asia dusts in range of 1,800-3,000 m and $2-16ms^{-1}$, respectively. And, it was shown that both scenarios of the RADM2 chemical mechanism and MADE/SORGAM aerosol and the GOCART dust erosion were interacted on-line between meteorological factors and Asian dusts or aerosols within the model because the outgoing long-wave radiation was changed to lower than the others.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.3
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• pp.196-201
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• 2011

Emission from meat cooking may contribute to the concentration of the Particulate Matters(PM) in the city. This study is to investigate the particle size and the emission characteristics of particulate matters from pork and beef cooking. The chamber was installed for sampling of PM generated from pork belly and beef sirloin cooking including seasoned ones. Cascade Impactor and Portable Aerosol Monitor (PAM) were used to analyse the particle size distribution. At the result of the Cascade Impactor sampling, particulate matters from the pork cooking was higher than that of beef. The gravimetric concentration of PM according to the size was highest at the range of $1.95{\sim}3.2{\mu}m$ and the gravimetric concentration of PM from the non-seasoned meat was higher than that of the seasoned one. The emission factors from pork, pork seasoned, beef and beef seasoned were 1.36 g/kg, 1.03 g/kg, 1.23 g/kg, 0.92 g/kg respectively. To see the result of PAM sampling, the ranges of $1.6{\sim}2.5{\mu}m$ and $2.5{\sim}3.5{\mu}m$ were reveled as highest. The ration of $PM_{2.5}/PM_{10}$ from pork and beef was 0.56~0.58. The emission factors from pork, pork seasoned, beef and beef seasoned measured by PAM were revealed as 3.37 g/kg, 2.76 g/kg, 2.93 g/kg, 2.77 g/kg respectively.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.2
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• pp.124-132
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• 2022

This study was aimed to visualize the spatial distribution of PM₁₀ data measured at non-uniformly distributed observation sites in South Korea. Different spatial interpolation methods were applied to irregularly distributed PM₁₀ observation data from January, 2019, when the concentration was the highest and in July, 2019, when the concentration was the lowest. Four interpolation methods with different parameters were used: Inverse Distance Weighted (IDW), Ordinary Kriging (OK), radial base function, and scattered interpolation. Six cases were cross-validated and the normalized root-mean-square error for each case was compared. The results showed that IDW using smoothing-related factors was the most appropriate method, while the OK method was least appropriate. Our results are expected to help users select the proper spatial interpolation method for PM₁₀ data analysis with comparative reliability and effectiveness.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.863-872
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• 2022

Rare earth elements (REEs) have been used as one of power tracers for understanding geological and environmental changes due to their similar physico-chemical properties. In this study, we investigated the characteristics of rare earth elements in atmospheric particulates(PM_2.5) collected in Beijing and Gwangju during January 2018. The total concentrations of REEs in the Beijing samples were about 16X higher than those in Gwangju samples, and both samples are enriched in light REE than heavy REE, up to 8-10 times. The Post Archean Australian Shale (PAAS)-normalized pattern showed that both samples are enriched in Eu, Tb, and Er, and displayed positive Eu but negative Ce anomalies. The elemental correlations indicate that both samples originated from China desert and Loess plateau as well as cities surrounding Beijing. This study suggests that REEs in PM_2.5 can be used as a powerful proxy of revealing the difference between China and Korea, and provide basic information on the source and transport of PM_2.5.

• 한국지구과학회:학술대회논문집
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• 2010.04a
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• pp.37-37
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• 2010

2008년 동아시아 대륙에서 발생기원이 다른 황사와 인위적 오염입자의 광역적 이동 사례를 NOAA위성 RGB 합성영상과 지상 TSP, PM10, PM2.5 질량농도 관측으로 구별하였다. 또한 Terra/Aqua 위성MODIS (MODerate Imaging Spectroradiometer) 센서의AOD (Aerosol Optical Depth)와 FW (Fine aerosol Weighting)를 통해 동아시아 지역에서 발생기원이 다른 대기 에어로졸의 분포와 입자 크기 특성을 분석하였다. 중국 북부와 몽골, 그리고 중국 황토고원에서 모래폭풍이 발생하여 광역적으로 이동하여 청원에 먼지입자(황사)로 영향을 주는 6 사례를 분석했다. 질량농도 TSP중 PM10 은 70%, PM2.5 는 16% 로 조대입자 (> $2.5{\mu}m$)의 비율이 큰 것은 사막과 반사막의 자연적 발생원에서 생성되었기 때문이다. 그러나, 모래 폭풍이 이동 과정에서 중국 동부의 산업 지역을 거쳐 유입 되는 사례에서는 TSP 중 PM2.5 가 23% 까지 증가하기도 했다. 중국 동부로부터 황해를 거쳐 한반도로 유입하고 있는 다른5사례는 TSP 중 PM10, PM2.5가 각각 82%, 65% 로 PM2.5 의 비율이 높았는데 인위적 오염입자의 영향 때문이다. 동아시아 지역에서 인위적 오염입자의 광역적 이동 사례에 대한 평균 AOD는 $0.42{\pm}0.17$로 황사에 의한 AOD ($0.36{\pm}0.13$)와 비교하여 대기 에어로졸에 대한 비율이 높게 나타났다. 특히, 중국 동부에서 황해, 한반도, 동해에 이르는 광역적 지역에 높은 AOD값이 분포했다. 인위적 오염입자의 사례는 FW가 평균 $0.63{\pm}0.16$로 모래폭풍의 이동 사례의 $0.52{\pm}0.13$ 보다 높은 값을 보이고 있어, 대기 에어로졸에 대한 인위적 미세 오염입자의 기여가 크게 나타나고 있었다.

• 한국지구과학회:학술대회논문집
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• 2010.04a
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• pp.42-47
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• 2010

본 연구에서는 2005~2007년 여름철(JJAS; 6~9월) 기간에 한반도 부근의 위성관측(TRMM) 및 지상관측(AWS) 강수량 그리고 대기오염 관측 자료를 이용하여 이들의 공간적 분포와 일주기 특성을 분석하였다. 이 기간에 AWS 평균 강수량은 전국적으로 약 5 mm/day 이었고, 제주도, 중부 내륙, 그리고 영 호남 경계 지역에서 9 mm/day 이상으로 많았다. PM10 (${\mu}g/m^3$) 미세먼지의 농도는 $27{\sim}57\;{\mu}g/m^3$ 이었고, 특히 수도권과 경남의 산업지역에서 $45\;{\mu}g/m^3$ 이상으로 높았다. 위성관측과 지상관측 강수량간의 상관(~0.8)은 매우 유의적이었다. AWS는 지점 관측이고 TRMM 관측은 면적평균임을 고려할 때, 위의 상관값은 상당히 높은 것으로 판단된다. 일주기 분석에서 미세먼지는 수도권 지역에서 오전에, 그리고 영남 지역에서는 오후 늦게 많이 발생하였다. AWS 강수량은 영동 및 경북 지역에서 이른 오전(2~8시)에, 이 지역 외에서는 오후 늦게(16~22시) 주로 발생하였다. 중부 지방의 강수 주기는 전선이 오후 3시부터 다음날 오전 4시까지 서해안에서 동해안으로 동진하는 형태를 잘 반영하였다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2008.04a
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• pp.202-203
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• 2008

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2007.10a
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• pp.230-231
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• 2007

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2009.10a
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• pp.616-617
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• 2009