• 한국대기환경학회지
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• 제6권1호
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• pp.1-10
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• 1990

The purpose of the study was to analyze air quality in underground shopping centers using pattern recognition methods. In order to perform this, the concentraion of air pollutants such as $CO, NO_2, NO_x, SO_2$, and particulate matters was measured at the 11 different shopping centers in Seoul metropolitan area and the total of 47 samples were obtained at random based on the size of shopping centers. To introduce a new concept of the "average concentration" for the indoor air quality analyses, the various multivariate statistical analyses have been studied. Thus, a cluster analysis was applied to separate the samples into pseudo-patterns and a disjoint principal component analysis was used to generate homogeneous patterns after removing outliers from the pseudo-patterns. The 6 homogeneous patterns were then obtained as follows:the first pattern was a group of clean sites;the second a group of sites having high dust concentration;the third a group of sites having high dust and $NO_x$ concentration;the fourth a group of sites having low dust and $SO_2$ concentraion and high CO concentration;the fifth a group of sites having high $NO_2 and SO_2$ concentration;and the final a group of miscellaneous sites. Thus, the average concentration could be estimated for each pattern.h pattern.

• 웰빙융합연구
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• 제4권2호
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• pp.35-41
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• 2021

Purpose: In this study, volatile organic compounds(VOCs) and aldehydes generated from roadside vehicles and other pollutants were measured and analyzed. Research design, data and methodology: As a result of measuring and analyzing three areas near the roadside, Vinyl chloride 0.00 ~ 0.02 ppb, Benzene 2.87 ~ 5.01 ppb. Toluene 4.51 ~ 8.62 ppb, Styrene 0.00 ~ 0.34 ppb, Formaldehyde 8.45 ~ 17.12 ug/m³, Acetaldehyde 7.01 ~ 17.64 ug/m³ were detected. When comparing the analysis results and the 6-month average concentration of the hazardous air monitoring network, the analysis results were about 26 times higher for Benzene, about 5 times for Toluene, and about 3.75 times for Styrene. In the case of vinyl chloride, it was confirmed that it was about 20 times lower than that of the hazardous atmosphere monitoring network. Results: Therefore, it is necessary to reexamine the installation location of the measurement network because people are exposed to pollutants on the actual roadside. It is judged that it is right to build a measurement network that is practically helpful to people by increasing the measurement items in the measurement network.

• 한국대기환경학회지
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• 제29권5호
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• pp.601-614
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• 2013

The commercial charcoal kiln was projected the largest source of biomass burning sector in Korea. Commercial charcoal kiln was operated to emit air pollutants into the air without any air pollution prevention equipment. The object of this field survey was to understand characteristics of air pollutants concentration and emission factors and to provide preliminary data for effective processor from oak charcoal manufacturing process. As result of field survey, TSP, $PM_{10}$ and $PM_{2.5}$ concentration from charcoal kiln were 400~37,000 $mg/m^3$. These values were over the 100 $mg/m^3$ in TSP, this value was effluent quality standard of Clean Air Conservation Act. The average concentration of CO, $SO_2$ and TVOC were 2~5%. 0~110 ppm and 820~10,000 ppm respectively. The emission factors were 42.4 g-PM/kg-oak in TSP, 40.3 g-PM/kg-oak in $PM_{10}$, 38.2 g-PM/kg-oak in $PM_{2.5}$, 182.5 g-CO/kg-oak, 1.0 g-NO/kg-oak, $SO_2$ 0.2 g-$SO_2/kg$-oak and 104.4 g-TVOC/kg-oak. The part of commercial charcoal kiln had air pollution prevention equipment but it was difficult to work properly. Much wood tar excreted in exhaust emissions from oak charcoal manufacturing process. This wood tar was cause of many troubles sticking in the air pollutant prevention equipment. For handling particulate matters and gaseous air pollutants from oak charcoal manufacturing process in biomass burning, air pollutant prevention equipment design and management needs preprocessor for removal wood tar.

• 한국대기환경학회지
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• 제33권3호
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• pp.251-264
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• 2017

Recently, Jeollabuk-do has been reported as a province where the $PM_{10}$concentration is one of the highest levels in South Korea. To explore the characteristics and origins of the $PM_{10}$in Jeollabuk-do, we present one of the first long-term datasets including a statistical analysis of $PM_{10}$concentrations obtained from six cities in the province from 2010 to 2015. During the entire periods, the mean hourly $PM_{10}$concentration was $49.3{\mu}g/m^3$, which correspond to the annual ambient air quality standards for $PM_{10}$in South Korea, and the annual $PM_{10}$concentration of each city showed a similarity in year-to-year variations. In the monthly variation of $PM_{10}$, the $PM_{10}$concentrations showed a maximum value in May that was one of the top levels among the provinces of Korea while the concentrations were dramatically decreased in August showing one of the lowest levels among the provinces in Korea. For the diurnal variation of $PM_{10}$, the $PM_{10}$concentration was enhanced during the rush hours together with gaseous species of $NO_2$, and CO. When the high concentrations of $PM_{10}$were observed (the highest 10% of the $PM_{10}$mass contribution), temperature and relative humidity were low. Using HYSPLIT backward trajectories and cluster analysis for the high $PM_{10}$concentrations, we found that the pollution plumes were transported mainly from China.

• 한국대기환경학회지
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• 제34권5호
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• pp.651-658
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• 2018

Particulate matter (PM) emitted from fossil fuel-combustion facilities can be classified as either filterable or condensable PM. The U.S. Environmental Protection Agency (EPA) defined condensable PM as material that is in the phase of vapor at the stack temperature of the sampling location which condenses, reacts upon cooling and dilution in the ambient air to form solid or liquid in a few second after the discharge from the stack. Condensable PM passed through the filter media and it is typically ignored. But condensable PM was defined as a component of primary PM. This study investigates the change of condensable PM according to the variation in the sulfur dioxide of combustion gas. Domestic oil boilers were used as the source of emission ($SO_2$) and the level of $SO_2$ concentration (0, 50, 80, and 120 ppm) was adjusted by diluting general light oil and marine gas oil (MGO) that contains sulfur less than 0.5%. Condensable PM was measured as 2.72, 6.10, 8.38, and $13.34mg/m^3$ when $SO_2$ concentration in combustion gas were 0, 50, 80, and 120 ppm respectively. The condensable PM tended to increase as the concentration of $SO_2$ increased. Some of the gaseous air pollutants emitted from the stack should be considered precursors of condensable PM. The gas phase pollutants which converted into condensable PM should reduced for condensable PM control.

• 한국대기환경학회지
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• 제20권2호
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• pp.225-236
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• 2004

Diesel engines which emit a lot of PM and NOx have been known as a main air polluter. Especially, diesel particulate matters (OPM) including black smoke are hazardous air pollutants to human health and environment. The nations retaining advanced engine technologies have reinforced emission regulations. To meet these regulations diesel engine manufacturers have developed low-emission diesel engines, aftertreatment equipments, alternative fuel technologies and so on. In this study, particle number concentrations characteristics according to particle size and engine driving conditions were analyzed when these low-emission technologies were applied. There was a tendency of increasing particle number concentrations from heavy-duty diesel engines with increasing engine rpm and load rate. In the cases of COPF (Catalytic Diesel Particulate Filter), CNG (Compressed Natural Gas) engine and ULSD (Ultra Low Sulfur Diesel) more than 99% of particle number concentration were removed.

• 한국대기환경학회지
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• 제15권5호
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• pp.625-638
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• 1999

Air quality modeling for coastal urban region has been composed of a complex system including meteorological, chemical and physical processes and emission characteristics in complex terrain. In this study, we studied about an effect prediction for deposition phenomenon affecting on air quality in Pusan metopolitan metropolitan city. In air quality modeling including ship sources, a situation considered deposition process habe better result than not considered when compared with observed value. Air pollutants emitted into urban air during the daytime nearly removed through urban atmosphere polluted. Also these phenomena correlated concentration variation connent with sea/land breezes and terrain effect. Therefore we conclude that the concentration was low at daytime when deposition flux is high, and deposition effect on industrial complex and Dongrae region is considerable in particular.

• 한국대기환경학회지
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• 제11권1호
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• pp.85-93
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• 1995

Measurements of ground level ozone concentrations were made in a rural area of Chongwon (Choongbook Province) from June 1993 to July 1994. High values frequently exceeding 100 ppb (ambient air qualyty standard of Korea) were recorded. High ozone concentrations in the boundary layer were primarily correlated with the several meteorological parameters in warm seasons: pressure, radiation, temperature, precipitation and wind velocity. The annual average concentration of ozone at Chongwon was 17ppb, and this value was relatively higher than those for other cities in Korea. O$\_$3/ concentrations were observed to increase when the ridge of a surface anticyclone was passing over the region, and maximum values(.geq.100 ppb) were observed on the rear sides of high pressure centers and in the warm sectors of cyclones(well head of cold fronts). The ozone concentrations had a negative correlation with the concentration of primary pollutants(e.g., total hydrocarbons).

• Asian Journal of Atmospheric Environment
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• 제5권1호
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• pp.29-40
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• 2011

In this study, the effects of an urban thermal environment on air quality were investigated using hourly surface weather observation data and air quality data over six summers from 2000 to 2005 in two cities on the Korean Peninsula. One, the city of Daegu, is representative of basin topography and the other, the city of Busan, represents a coastal area. It is known that the characteristics of an urban thermal environment are represented as an "urban heat island". Here, we focus on the nighttime urban thermal environment, which is called a "tropical night", during the summer. On tropical nights in Busan, the temperature and cloud cover levels were higher than on non-tropical nights. Wind speed did not appear to make a difference even on a tropical night. However, the frequency of southwestern winds from the sea was higher during tropical nights. The prevailing southwest winds in all areas meant an inflow of air from the sea. So at most of the air quality stations, the ozone concentration during tropical nights was lower than during non-tropical nights. In Daegu, the tropical nights had higher temperatures and cloud covers. Despite these higher temperatures, the ozone concentration during the tropical nights was lower than that on non-tropical nights at most of the air quality stations. This feature was caused by low irradiance, which in turn caused an increased cloud cover. Wind speed was stronger during the tropical nights and dispersed the air pollutants. These meteorological characteristics of the tropical nights reduced ozone concentrations in the Daegu Basin.

• 한국환경과학회지
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• 제14권11호
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• pp.1049-1056
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• 2005

[ $NO_2$ ] concentration characteristics of Busan metropolitan city was analysed by statistical method using hourly $NO_2$ concentration data$(1998\~2000)$ collected from air quality monitoring sites of the metropolitan city. 4 representative regions were selected among air quality monitoring sites of Ministry of environment. Concentration data of $NO_2$, 5 air pollutants, and data collected at AWS was used. Both Stepwise Multiple Regression model and ARIMA model for prediction of $NO_2$ concentrations were adopted, and then their results were compared with observed concentration. While ARIMA model was useful for the prediction of daily variation of the concentration, it was not satisfactory for the prediction of both rapid variation and seasonal variation of the concentration. Multiple Regression model was better estimated than ARIMA model for prediction of $NO_2$ concentration.