• Asian Journal of Atmospheric Environment
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• v.2 no.1
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• pp.34-46
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• 2008

Emissions inputs for use in air quality modeling of Korea were generated with the emissions inventory data from the National Institute of Environmental Research (NIER), maintained under the Clean Air Policy Support System (CAPSS) database. Source Classification Codes (SCC) in the Korea emissions inventory were adapted to use with the U.S. EPA's Sparse Matrix Operator Kernel Emissions (SMOKE) by finding the best-matching SMOKE default SCCs for the chemical speciation and temporal allocation. A set of 19 surrogate spatial allocation factors for South Korea were developed utilizing the Multi-scale Integrated Modeling System (MIMS) Spatial Allocator and Korean GIS databases. The mobile and area source emissions data, after temporal allocation, show typical sinusoidal diurnal variations with high peaks during daytime, while point source emissions show weak diurnal variations. The model-ready emissions are speciated for the carbon bond version 4 (CB-4) chemical mechanism. Volatile organic carbon (VOC) emissions from painting related industries in area source category significantly contribute to TOL (Toluene) and XYL (Xylene) emissions. ETH (Ethylene) emissions are largely contributed from point industrial incineration facilities and various mobile sources. On the other hand, a large portion of OLE (Olefin) emissions are speciated from mobile sources in addition to those contributed by the polypropylene industry in point source. It was found that FORM (Formaldehyde) is mostly emitted from petroleum industry and heavy duty diesel vehicles. Chemical speciation of PM2.5 emissions shows that PEC (primary fine elemental carbon) and POA (primary fine organic aerosol) are the most abundant species from diesel and gasoline vehicles. To reduce uncertainties in processing the Korea emission inventory due to the mapping of Korean SCCs to those of U.S., it would be practical to develop and use domestic source profiles for the top 10 SCCs for area and point sources and top 5 SCCs for on-road mobile sources when VOC emissions from the sources are more than 90% of the total.

• Journal of the Korean Applied Science and Technology
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• v.36 no.3
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• pp.866-875
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• 2019

In this study, The Chemical Mass Balance (CMB) model was used to identify pollutant sources and their contributions to $PM_{2.5}$. The contribution rankings by emission source in A city were ash dust (30.1%) > biomass burning (21.9%) > secondary pollutants (21.1%) > mobile source (19.3%) > area sources (7.6%), and The emission sources increased from the contribution of the CMB model and the Clean Air Policy Support System (CAPSS) emissions were biomass burning and secondary pollutants, and The emission sources reduced were mobile source, ash dust, and area sources.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.1
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• pp.99-110
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• 2022

In this study, the generation and emission characteristics of particulate matter and gaseous matter in a mechanically ventilated layer house were evaluated. Each concentration of PM₁₀, PM_2.5, inhalable dust, respirable dust, and NH₃ was measured and compared with occupational limit considering seasons and respiratory disorder. CAPPS (Clean Air Policy Support System) of the Ministry of Environment proposes the emission factors of PM₁₀, PM_2.5, and NH₃ for a layer houses however, emission factors are still calculated from foreign factors such as CONINAIR values. As a result, it is urgent to develop national emission factors for domestic layer house. Emission coefficients of the studied mechanically-ventilated layer house in a summer season were calculated as 0.052 kg/head/year for PM₁₀, about 12% lower than that of CAPSS, and 0.0068±0.0038 kg/head/year for PM_2.5, showing no significant difference. Emission factor of NH₃ was calculated as 0.159±0.031 kg/head/year, about 51% lower than that of CAPSS.

• Spatial Information Research
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• v.20 no.2
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• pp.25-34
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• 2012

Air quality in Daegu area is lower compared to many other cities, since Daegu is a basin surrounded by mountains. Accordingly, the present study investigated the location of carbon monoxide(CO) monitoring stations for systematic CO pollution management on the basis of the CO emission distribution in Daegu area. In order to achieve this purpose, the location of CO monitoring stations, which can be used for the establishment of CO management, were assessed. Emission map in Daegu area was prepared using numerical map and Clean Air Policy Support System(CAPSS) data supplied by the M inistry of Environment. Average emissions were estimated by dividing emission sources into four subgroups(roadway, apartment, industry, and municipal incineration facility) according to legal division. The CO emission intensities were subdivided into 10, which a high number represents a high emission intensity, and the current monitoring stations were evaluated for the determination of their steps in CO emission intensities. As a result, additional installation of monitoring stations were suggested for the high CO emission areas rather than the low CO emission areas. A systematic CO management strategy would be established by the supplying various principle CO data when the CO monitoring stations are additionally installed at Kukwudong and other six sites on the basis of analyses of data obtained from 1999 to 2007.

• Journal of Korean Society for Atmospheric Environment
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• v.28 no.3
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• pp.348-356
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• 2012

It is very important to investigate air pollutants and emissions emitted from open burning in order to control nonpoint sources effectively. In this study, we utilized incineration simulator proposed by U.S. EPA and investigated concentrations of TSP, PM10, PM2.5 from woods and household wastes burning to calculate emission factors and build emission inventories. The results of experiment with 15 kg of woods and 3 kg of household wastes using the incineration simulator were as follows: in case of woods burning, TSP concentration was $66.4mg/m^3$, PM10 concentration was $28.4mg/m^3$, PM2.5 concentration was $17.9mg/m^3$, respectively; in case of household wastes burning, TSP concentration was $118.4mg/m^3$, PM10 concentration was $66.8mg/m^3$, PM2.5 concentration was $55.2mg/m^3$, respectively. Concentrations from household burning, as stated above, were higher than those from woods burning. Emission factors (EFs) for woods and household wastes burning were calculated as 2.45 and 6.75 g/kg for TSP, 0.86 and 5.45 g/kg for PM10, 0.78 and 4.81 g/kg for PM2.5, respectively. EFs of TSP, PM10, PM2.5 calculated from household wastes burning were higher than those of woods burning. When we added PM emissions from woods burning and household wastes burning to Korean National Emission Inventory named as Clean Air Policy Support System (CAPSS), CAPSS annual emissions of TSP, PM10, PM2.5 were increased by 0.08~0.26% (An increase rate for TSP, PM10, PM2.5 were 0.08~0.10%, 0.16~0.20% and 0.18~0.26%, respectively). Note that we assumed that the 1% of household wastes is emitted by open burning.

• Journal of Korean Society for Atmospheric Environment
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• v.28 no.2
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• pp.211-221
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• 2012

The Ministry of Environment will enforce air quality standards for $PM_{2.5}$ in 2015 because it affects human health as well as climate change and brings about other adverse effects. Until recently, even though a number of researches have reported $PM_{2.5}$ emissions according to sources, they have not precisely considered the emission factors correspondent to each source for emission estimation. For the sake of establishing $PM_{2.5}$ emission inventories, this study was undertaken using activity data of each source taken from CAPSS (Clean Air Policy Support System) multiplied by each emission factor of U.S. EPA Speciate or EEA CORINAIR. The 2008's total annual $PM_{2.5}$ emission (73.971 ton/yr) can be apportioned into five sources, such as fuel combustion facilities (62.2%), mobiles (33.8%), production processes (3.2%), fires (0.4%), and waste treatments (0.3%). The results show that fuel combustion facilities and mobiles are the predominant sources of $PM_{2.5}$, and they should be taken into great account in establishing $PM_{2.5}$ standards. In addition, it is necessary and urgent to develop effective measures for reduction of $PM_{2.5}$ emissions from those two main sources as well.

• Journal of Environmental Science International
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• v.20 no.5
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• pp.599-610
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• 2011

Emission of air pollutants such as nitrogen oxides ($NO_x$), hydrocarbons (HC), $SO_2$, and particulate matter (PM) and $CO_2$ from ship during 2009 in Busan port was estimated based on activity-based method. The significant fraction (> 50%) of ship emission resulted from container and general cargo ships. Emission at port operation mode was the most dominant compared to at sea and maneuvering modes. Emission at North port was the largest source of air pollutants among ports. The magnitudes of air pollutants $NO_x$, $SO_2$, HC, $CO_2$, and PM in Busan port were $8.7{\times}10^3$, $8.23{\times}10^3$, $0.35{\times}10^3$, $4.86{\times}10^6$, and $0.67{\times}10^3$ ton/yr, respectively. The ratio of $NO_x$ to VOC is about 25. Our ship emission estimate is 2 times higher than that in CAPSS emission inventory.

• Journal of Korean Society for Atmospheric Environment
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• v.30 no.1
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• pp.37-47
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• 2014

In this study, field measurement was carried out for reasonable improvement of asphalt concrete manufacturing facilities' PM emissions estimation method. Through those, this study calculated PM emission factor and tried to estimate PM emissions from asphalt concrete manufacturing facilities suitable for domestic characteristics. As a result, the efficiency of the PM control device was measured as 99.9%. Using this, uncontrolled PM emission factor was calculated. PM emission factor was calculated 10.97 kg/ton at 23 asphalt concrete manufacturing facilities of 22 workplaces. The PM current emission factor of the US Environment Protection Agency (EPA) is 14.4 kg/ton, the factor calculated from this study is about 24% lower than the EPA standard.

• Journal of Korean Society for Atmospheric Environment
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• v.30 no.6
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• pp.538-544
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• 2014

A traditional fireplace has been used, but not much, for heating and cooking in rural area, Korea. Traditional fireplace as one type of biomass burnings is also emitting various air pollutants. Air pollutants emission from traditional fireplace was estimated in this study. There are two types of traditional fireplace, one for combined heating and cooking, the other one for cooking only. Types of fuels mostly used in traditional fireplace were wood, agricultural residue, solid waste. Activity levels such as fuel types, amount of fuel loading, and temporal variation were investigated by field survey over Korea. Estimated annual emissions from traditional fireplace were CO 6,335.0, NOx 555.0, SOx 9.6, VOC 1,771.7, TSP 181.4, $PM_{10}$ 119.9, $PM_{2.5}$ 96.2, $NH_3$ 1.4 ton/yr respectively. When emissions compared with the national emission inventory (CAPSS: Clean Air Policy Support System) of 2010 year, CO and $PM_{10}$ occupy 0.8% and 0.1% of total national emission, respectively.

• Journal of Korean Society for Atmospheric Environment
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• v.20 no.2
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• pp.263-276
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• 2004

According to the annual emission estimates of U.S.A., fugitive dust, the particulate matter entrained in the ambient air which is caused from man-made or natural activities such as movement of soil, vehicles, equipments and windblown dust, contributes 90% of PM$_{10}$ emission. In spite of an importance of fugitive dust emission in PM$_{10}$ estimation, it is excluded in the national emission inventory of Korea so far. In this paper, an emission inventory of fugitive dust for each region and in major cities throughout the country, which is the first time in Korea these values have been compiled, is presented. Sources of fugitive dust emission have been classified into paved/unpaved roads, construction operations, agricultural operations, and natural sources. The emission factors of the existing fugitive dust emission were reassessed in a way that significantly improved the reliability of the estimated result. The Korea's first national emission inventory of fugitive dust by administrative districts proposed in this paper would provide scientific reference data for establishing an reduction strategy of PM$_{10}$ and preparing effective control measures, and would contribute to academic achievement in the atmospheric environments field and the establishment of CAPSS (Clean Air Policy Support System).stem).