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인자분석을 이용한 광주지역 미세먼지(PM<sub>10</sub>)의 특성 연구
이세행 ( Se-haeng Lee ),서광엽 ( Gwang-yeop Seo ),윤상훈 ( Sang-hoon Yoon ),양윤철 ( Yoon-cheol Yang ),김선정 ( Sun-jung Kim ),조영관 ( Young-gwan Cho ),배석진 ( Seok-jin Bae ) 한국환경과학회 2018 한국환경과학회지 Vol.27 No.4
The objective of this study was to estimate air quality trends in the study area by surveying monthly and seasonal concentration trends. To do this, the mass concentration of PM10 samples and the metals, ions, and total carbon in the PM10 were analyzed. The mean concentration of PM10 was 33.9 ㎍/㎥. The composition of PM<sub>10</sub> was 39.2% ionic species, 5.1% metallic species, and 26.6% carbonic species (EC and OC). Ionic species, especially sulfate, ammonium, and nitrate, were the most abundant in the PM10 and had a high correlation coefficient with PM10. Seasonal variation of PM10 showed a similar pattern to those of ionic and metallic species. with high concentration during the winter and spring seasons. PM10 showed high correlation with the ionic species NO<sub>3</sub> <sup>-</sup> and NH<sub>4</sub> <sup>+</sup>. In addition, NH<sub>4</sub> <sup>+</sup> was highly correlated with SO<sub>4</sub> <sup>2- </sup>and NO<sub>3</sub> <sup>-</sup>. We obtained four factors through factor analysis and determined the pollution sources using the United States Environmental Protection Agency(U.S. EPA) pollution profile. The first factor accounted for 51.1% of PM<sub>10</sub> from complex sources, that is, soil, motor vehicles, and secondary particles: the second factor indicated marine sources; the third factor, industry-related sources; and the last factor, heating-related sources. However, the pollution profile used in this study may be somewhat different from the actual situation in Korea because it was from US EPA. Therefore, to more accurately estimate the pollutants present, it is necessary to create a pollution profile for Korea.
이세행 ( Se Haeng Lee ),정숙경 ( Suk Kyung Jeong ),이경석 ( Kyoung Soek Lee ),민경우 ( Kyong Woo Min ),김현승 ( Hyun Seung Kim ),김도술 ( Do Sool Kim ),강영주 ( Yeong Ju Kang ),배석진 ( Seok Jin Bae ) 한국환경분석학회 2013 환경분석과 독성보건 Vol.16 No.2
The aim of this study is to understand the characteristics of indoor air pollutants and provide information about the present Indoor Air Quality(IAQ) in 104 public facilities from January 2011 to December 2012. The measured air pollutants are PM10, HCHO(formaldehyde), CO, CO2, and total airborne bacteria(TAB). And the effects of environmental factors such as temperature, humidity and construction characteristics were analyzed in relation to the measured concentrations. The results of this study showed that the mean concentration of PM10, CO2, HCHO, CO, and TAB were 55.3 /, 558.6 ppm, 31.0 /, 1.2 ppm, and 561.3 CFU/, respectively. The correlation analysis showed that CO2 and HCHO (r=0.497, p<0.01), CO2 and TAB (r=0.468, p<0.01), and PM10 and CO (r=0.342, p<0.01) were significant. The result of regression analysis was found that the influence factors associated with the concentration of PM10, HCHO, and TAB were the year of building construction, the temperature and the humidity.
통계분석을 이용한 광주지역 휘발성유기화합물의 특성 연구
이세행 ( Se-haeng Lee ),이대행 ( Dae-haeng Lee ),박강수 ( Kang-soo Park ),송형명 ( Hyeong-myeong Song ),양윤철 ( Yoon-cheol Yang ),이기원 ( Ki-won Lee ),조영관 ( Young-gwan Cho ),서광엽 ( Gwang-yeob Seo ) 한국환경분석학회 2016 환경분석과 독성보건 Vol.19 No.1
This study was conducted to investigate the concentration distribution of VOCs (volatile organic compounds) and the contribution of nitric oxides and VOCs to ozone creation in Gwangju. Fifty-two types of VOCs were continually measured by the hour at sampling sites in Seoseok-dong and Geonguk-dong from May to September 2015. Paraffins took up 52.1% of the entire VOCs, followed by aromatics and olefins. The monthly concentration of VOCs was highest in June and lowest in August. As for the hourly concentrations of ozone and nitric oxides, ozone concentrations started to increase from 7 am and got to the highest point during the daytime, whereas nitric oxides showed the opposite trend from ozone by reaching the lowest level during the daytime. The photochemical ozone creation potentials (POCPs) of toluene, isopentane, m,p-xylene, isobutane and 1-butene were 16.0%, 14.2%, 12.7%, 8.3% and 7.5% respectively. These five components together accounted for 58.7% of the total POCPs, which means they are the main contributor to ozone creation. The correlation analysis showed that PM-10 and PM-2.5 (r=0.810, p<0.01), O3 and radiation (r=0.448, p<0.01), and O3 and humidity (r=-0.563, p<0.01) were significant. The results of factor analysis showed that the VOCs were mainly affected by the emission of vehicles and the evaporation of diesel fuel.
인자분석을 이용한 광주지역 초미세먼지(PM<sub>2.5</sub>)의 특성 연구
이세행 ( Se-haeng Lee ),이경석 ( Kyung-seog Lee ),윤상훈 ( Sang-hoon Yoon ),양윤철 ( Yoon-cheol Yang ),박지영 ( Ji-young-park ),배석진 ( Seok-jin Bae ),이대행 ( Dae-haeng Lee ) 한국환경과학회 2019 한국환경과학회지 Vol.28 No.4
The objective of this study was to estimate the trends of air quality in the study area by analyzing monthly and seasonal concentration trends obtained from sampled data. To this aim, the mass concentrations of PM<sub>2.5</sub> in the air were analyzed, as well as those of metals, ions, and total carbon within the PM<sub>2.5</sub>. The mean concentration of PM<sub>2.5</sub> was 22.7 ㎍/㎥. The mass composition of PM<sub>2.5</sub> was as follows: 31.1% of ionic species, 2.2% of metallic species, and 26.7% of carbonic species (EC and OC). Ionic species, especially sulfate, ammonium, and nitrate, were the most abundant in the PM<sub>2.5</sub> and exhibited a high correlation coefficient with the mass concentration of PM<sub>2.5</sub>. Seasonal variations of PM<sub>2.5</sub> showed a similar pattern to those of ionic and metallic species, with high concentrations during winter and spring. PM2.5 also had a high correlation with the ionic species NO<sub>3</sub><sup>-</sup> and NH<sub>4</sub><sup>+</sup>. In addition, NH<sup>4</sup><sup>+</sup> was highly correlated with NO<sub>3</sub><sup>-</sup>. Through factor analysis, we identified four controlling factors, and determined the pollution sources using the United States Environmental Protection Agency(U.S. EPA) pollution profile. The first factor, accounting for 19.1% of PM<sub>2.5</sub> was attributed to motor vehicles and heating-related sources: the second factor indicated industry-related sources and secondary particles, and the other factors indicated soil, industry-related and marine sources. However, the pollution profile used in this study may be somewhat different from the actual situation in Korea, since it was obtained from US EPA. Therefore, to more accurately estimate the pollutants present in the air, a pollution profile for Korea should be produced.
광주 하남산업단지 내 도장, 도금, 주물ㆍ주조, 고무제조 및 폐유정제 사업장에서 발생되는 악취물질의 조사 연구
김난희,박강수,이세행,박승열,김도술,김동수,이경석,백계진,문용운 한국냄새환경학회 2011 실내환경 및 냄새 학회지 Vol.10 No.2
In this study was analyzed substances that high contribute to odor strength degree which emitted from the painting, the plating, the casting, the rubber manufacturing, and the used oil refining facilities in Gwangju Hanam industrial complex. In order to this, we analyzed two types of nitrogen compounds, five types of sulfur compounds, thirteen types of the aldehyde, and ten types of volatile organic compounds discharged from an outlet for antipollution facilities. The results are as following high contribution rate sustances to odor strenth was ordered butylaldehyde (73.8%) > acetaldehyde (17.7%) > propionaldehyde (4.9%) at painting facilities. At plating facilities, it was ordered Acetaldehyde (59.0%) > ammonia (19.1) > hydrogen sulfide (13.1%). At casting facilities, it was ordered Hydrogen sulfide (65.9%) > acetaldehyde (17.2%) > sulfur dioxide(5.2%). At rubber manufacturing facilities, it was ordered i-valeraldehyde (35.0%) > butylaldehyde (32.0%) > n-valeraldehyde (13.3%) and at used oil refinery facilities, it was ordered Acetaldehyde (36.8%)> butylaldehyde (33.6%) > sulfur dioxide (14.5%).