Investigations of Transported and Local Emissions on Particle Compositions in Korea

Cayetano, Mylene G.; Hopke, Philip K.; Lee, Kwon-Ho; Jung, Jinsang; Batmunkh, Tsatsral; Lee, Kwangyul; Kim, Young Jin

doi:10.4209/aaqr.2012.08.0218

Cited by 7 publications

(2 citation statements)

References 35 publications

(47 reference statements)

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“…Therefore, concentrations of DEE-related BC and PM 2.5 in cities is expected to be increased with the number of diesel vehicle registrations. Several previous studies reported temporal and spatial variations of PM 2.5 concentrations or characteristics of PM 2.5 measured at national air quality monitoring sites or a PM 2.5 monitoring supersite South Korea [ 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Association of Real-Time Concentrations of Black Carbon (BC) with Fine Particulate Matters (PM2.5) in Urban Hotspots of South Korea

Kim

Yun

2017

IJERPH

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We evaluated the spatiotemporal distributions of black carbon (BC) and particulate matters with aerodynamic diameters of less than 2.5 m (PM2.5) concentrations at urban diesel engine emission (DEE) hotspots of South Korea. Concentrations of BC and PM2.5 were measured at the entrance gate of two diesel bus terminals and a train station, in 2014. Measurements were conducted simultaneously at the hotspot (Site 1) and at its adjacent, randomly selected, residential areas, apartment complex near major roadways, located with the same direction of 300 m (Site 2) and 500 m (Site 3) away from Site 1 on 4 different days over the season, thrice per day; morning (n = 120 measurements for each day and site), evening (n = 120), and noon (n = 120). The median (interquartile range) PM2.5 ranged from 12.6 (11.3–14.3) to 60.1 (47.0–76.0) μg/m3 while those of BC concentrations ranged from 2.6 (1.9–3.7) to 6.3 (4.2–10.3) μg/m3. We observed a strong relationship of PM2.5 concentrations between sites (slopes 0.89–0.9, the coefficient of determination 0.89–0.96) while the relationship for BC concentrations between sites was relatively weak (slopes 0.76–0.85, the coefficient of determination 0.54–0.72). PM2.5 concentrations were changed from 4% to 140% by unit increase of BC concentration, depending on site and time while likely supporting the necessity of monitoring of BC as well as PM2.5, especially at urban DEE related hotspot areas.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Association of Real-Time Concentrations of Black Carbon (BC) with Fine Particulate Matters (PM2.5) in Urban Hotspots of South Korea

Kim

Yun

2017

IJERPH

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“…Because of this, any follow-up study that involves actual in situ PM 2.5 measurements must also include chemical analysis of sampled particulates as well as source apportionment in order to determine the actual amounts of air pollutants by source. A reference study was conducted by Cayetano et al (2014a), and research projects with methodologies similar to this study are currently being conducted in Cabanatuan and other cities.…”

Section: Recommendationsmentioning

confidence: 99%

Spatial estimation of air PM<sub>2.5</sub> emissions using activity data, local emission factors and land cover derived from satellite imagery

Gibe

Cayetano

2017

Atmos. Meas. Tech.

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Abstract. Exposure to particulate matter (PM) is a serious environmental problem in many urban areas on Earth. In the Philippines, most existing studies and emission inventories have mainly focused on point and mobile sources, while research involving human exposures to particulate pollutants is rare. This paper presents a method for estimating the amount of fine particulate (PM 2.5 ) emissions in a test study site in the city of Cabanatuan, Nueva Ecija, in the Philippines, by utilizing local emission factors, regionally procured data, and land cover/land use (activity data) interpreted from satellite imagery. Geographic information system (GIS) software was used to map the estimated emissions in the study area. The present results suggest that vehicular emissions from motorcycles and tricycles, as well as fuels used by households (charcoal) and burning of agricultural waste, largely contribute to PM 2.5 emissions in Cabanatuan. Overall, the method used in this study can be applied in other small urbanizing cities, as long as on-site specific activity, emission factor, and satellite-imaged land cover data are available.

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Review on recent progress in observations, source identifications and countermeasures of PM2.5

Liang

Duan

et al. 2016

Environment International

288

114

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Investigations of Transported and Local Emissions on Particle Compositions in Korea

Cited by 7 publications

References 35 publications

Spatiotemporal Association of Real-Time Concentrations of Black Carbon (BC) with Fine Particulate Matters (PM2.5) in Urban Hotspots of South Korea

Spatiotemporal Association of Real-Time Concentrations of Black Carbon (BC) with Fine Particulate Matters (PM2.5) in Urban Hotspots of South Korea

Spatial estimation of air PM<sub>2.5</sub> emissions using activity data, local emission factors and land cover derived from satellite imagery

Review on recent progress in observations, source identifications and countermeasures of PM2.5

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Investigations of Transported and Local Emissions on Particle Compositions in Korea

Cited by 7 publications

References 35 publications

Spatiotemporal Association of Real-Time Concentrations of Black Carbon (BC) with Fine Particulate Matters (PM2.5) in Urban Hotspots of South Korea

Spatiotemporal Association of Real-Time Concentrations of Black Carbon (BC) with Fine Particulate Matters (PM2.5) in Urban Hotspots of South Korea

Spatial estimation of air PM&lt;sub&gt;2.5&lt;/sub&gt; emissions using activity data, local emission factors and land cover derived from satellite imagery

Review on recent progress in observations, source identifications and countermeasures of PM2.5

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Product

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Spatial estimation of air PM<sub>2.5</sub> emissions using activity data, local emission factors and land cover derived from satellite imagery