제3주제 : 대기오염측정망 효율적인 운영 관리에 관한 연구

서광엽,백계진,박종태,신대윤 대한환경위생공학회 2009 대한환경위생공학회 정기총회 및 학술발표회 Vol.2009 No.-

이산화탄소 측정기의 신뢰성 확보에 관한 연구

서광엽,김승호,이세행,민경우,이대행,정원삼,백계진,문용운 한국대기환경학회 2010 한국대기환경학회 학술대회논문집 Vol.2010 No.10월

광주지역 먼지 특성에 관한 연구

서광엽,김승호,이경석,민경우,서희정,강영주,백계진,문용운,신대윤,Seo, Gwang-Yeob,Kim, Seung-Ho,Lee, Kyoung-Seok,Min, Kyoung-Woo,Seo, Hee-Jeong,Kang, Yeong-Ju,Paik, Ke-Jin,Moon, Young-Woon,Shin, Dae-Yewn 한국환경보건학회 2010 한국환경보건학회지 Vol.36 No.2

In this study, ambient particulate matter ($PM_{2.5}$ and $PM_{10}$) levels were measured and their chemical and physical properties were characterized. Two sites in Gwangju were sampled once a month from December 2008 to November 2009. The annual mean concentrations of $PM_{2.5}$ and $PM_{10}$ were $26.9\;{\mu}g/m^3$ and $46.3\;{\mu}g/m^3$, respectively, in Nongseongdong and $26.1\;{\mu}g/m^3$ and $44.8\;{\mu}g/m^3$, respectively, in Duam-dong. $PM_{2.5}$ levels were 1.8 times higher than the USA Environmental Protection Agency (EPA) national ambient air quality standard for $PM_{2.5}$ ($15\;{\mu}g/m^3$). The average $PM_{2.5}/PM_{10}$ ratio of 0.58 suggested that $PM_{2.5}$ is a significant component of the ambient particle pollution. The order of concentration of metallic elements in $PM_{2.5}$ and $PM_{10}$ was Si > Al > Fe > Zn > Pb > Cu > Mn. Cd was not detected. The earth crustal enrichment factors for Cr, Cu, Pb and Zn in $PM_{2.5}$ were higher than those in $PM_{10}$. When the earth crustal enrichment factors for Cr, Cu, Pb and Zn were higher than 10, this suggested influence from anthropogenic sources. The soil contribution ratios for $PM_{2.5}$ and $PM_{10}$ were 11.3% and 16.4%, respectively, and were higher in the fall and winter. Anions (${SO_4}^{-2}$, ${NO_3}^-$, and $Cl^-$) comprise 28.7% of $PM_{2.5}$ and 21.4% of $PM_{10}$. The correlation coefficient of Zn-Fe, Mn-Cu, Fe-Cu and Fe-Mn in $PM_{2.5}$ was high in the sampling sites, and metallic elements were primarily from anthropogenic sources such as fuel combustion and vehicle emissions.

통계분석을 이용한 광주지역 대기오염도

서광엽,백계진,신대윤,Seo Gwang Yeob,Paik Ke Jin,Shin Dae Yewn 한국환경보건학회 2004 한국환경보건학회지 Vol.30 No.5

We investigate changing characteristics and concentration distribution of ambient air quality using data from which obtained local ambient air monitoring network and local meterological measuring sites in Gwangju area from January to December in 2003. Sulfur dioxide ($SO_2$) showed that increase from 8 AM and decrease in 6 PM but, it was not drastically changed concentration. it also 0.010 ppm in 1995 from at this time it's decrease step by step and than some constant in year 2001 to 2003. Nitrogen dioxide ($NO_2$) concentration was showed highest peak in 10 AM and increase again at 6 PM. And also it showed peak concentration (0.026 ppm) in 2001 and decreased from after that times. Ozone was showed peak concentration in 1 PM and Nitrogen dioxide was ditto in 10 AM from this data, we can conclude that this two article ws showed chemical reaction by 3 to 5 hours. There was no case of Ozone alarm in Gwangju area since 1995, but it showed highest ozone concentration (over 0.070 ppm) in May and June of the year and 2 to 4 PM of the day and sometimes it showed increase at the dawn. Ozone product optimum condition was that air temperature is over $25^{\circ}C$, no rain and increase solar radiation (over $20MJ/m^2$) and no wind or below 2.0 m/s wind speed.

광주시 대기오염물질 배출량 변화추이에 관한 연구

서광엽(Gwang-yeob Seo),신대윤(Dae-yewn Shin) 대한환경위생공학회 2009 대한환경위생공학회지 Vol.24 No.4

We conclude the following with air pollution data measured from city measurement net administered and managed in Gwangju for the last 7 years from January in 2001 to December in 2007. In addition, some major statistics governed by Gwangju city and data administered by Gwangju as national official statistics obtained by estimating the amount of national air pollutant emission from National Institute of Environmental Research were used. The results are as follows ; 1. The distribution by main managements of air emission factory is the following ; Gwangju City Hall(67.8%) > Gwangsan District Office(13.6%) > Buk District Office(9.8%) > Seo District Office(5.5%) > Nam District Office(3.0%) > Dong District Office(0.3%) and the distribution by districts of air emission factory ; Buk District(32.8%) > Gwangsan District(22.4%) > Seo District(21.8%) > Nam District(14.9%) > Dong District(8.1%). That by types(Year 2004~2007 average) is also following ; Type 5(45.2%) > Type 4(40.7%) > Type 3(8.6%) > Type 2(3.2%) > Type 1(2.2%) and the most of them are small size of factory, Type 4 and 5. 2. The distribution by districts of the number of car registrations is the following ; Buk District(32.8%) > Gwangsan District(22.4%) > Seo District(21.8%) > Nam District(14.9%) > Dong District(8.1%) and the distribution by use of car fuel in 2001 ; Gasoline(56.3%) > Diesel(30.3%) > LPG(13.4%) > etc.(0.2%). In 2007, there was no ranking change ; Gasoline(47.8%) > Diesel(35.6%) > LPG(16.2%) > etc.(0.4%). The number of gasoline cars increased slightly, but that of diesel and LPG cars increased remarkably. 3. The distribution by items of the amount of air pollutant emission in Gwangju is the following; CO(36.7%) > NOx(32.7%) > VOC(26.7%) > SOx(2.3%) > PM-10(1.5%). The amount of CO and NOx, which are generally generated from cars, is very large percentage among them. 4. The distribution by mean of air pollutant emission(SOx, NOx, CO, VOC, PM-10) of each county for 5 years(2001~2005 ) is the following ; Buk District(31.0%) > Gwangsan District(28.2%) > Seo District(20.4%) > Nam District(12.5%) > Dong District(7.9%). The amount of air pollutant emission in Buk District, which has the most population, car registrations, and air pollutant emission businesses, was the highest. On the other hand, that of air pollutant emission in Dong District, which has the least population, car registrations, and air pollutant emission businesses, was the least. 5. The average rates of SOx for 5 years(2001~2005) in Gwangju is the following ; Non industrial combustion(59.5%) > Combustion in manufacturing industry(20.4%) > Road transportation(11.4%) > Non-road transportation(3.8%) > Waste disposal(3.7%) > Production process(1.1%). And the distribution of average amount of SOx emission of each county is shown as Gwangsan District(33.3%) > Buk District(28.0%) > Seo District(19.3%) > Nam District(10.2%) > Dong District(9.1%). 6. The distribution of the amount of NOx emission in Gwangju is shown as Road transportation(59.1%) > Non-road transportation(18.9%) > Non industrial combustion(13.3%) > Combustion in manufacturing industry(6.9%) > Waste disposal(1.6%) > Production process(0.1%). And the distribution of the amount of NOx emission from each county is the following ; Buk District(30.7%) > Gwangsan District(28.8%) > Seo District(20.5%) > Nam District(12.2%) > Dong District(7.8%). 7. The distribution of the amount of carbon monoxide emission in Gwangju is shown as Road transportation(82.0%) > Non industrial combustion(10.6%) > Non-road transportation(5.4%) > Combustion in manufacturing industry(1.7%) > Waste disposal(0.3%). And the distribution of the amount of carbon monoxide emission from each county is the following ; Buk District(33.0%) > Seo District(22.3%) > Gwangsan District(21.3%) > Nam District(14.3%) > Dong District(9.1%). 8. The distribution of the amount of Volatile Organic Compound emission in Gwangju is shown as Solvent utiliza

광주지역 다중이용시설의 실내 라돈 농도 분포 특성

김민진,서광엽,안상수,조민철,박세일,김종민,배석진,조영관 한국냄새환경학회 2019 실내환경 및 냄새 학회지 Vol.18 No.2

In this study, indoor radon concentrations were measured in 56 multiple-use facilities located in Gwangju areafrom December 2017 to December 2018. The average indoor radon concentration in underground space was51.70 Bq/m3, and that of the 1st floor was 38.73 Bq/m3, indicating that the indoor radon concentration ofunderground space was higher than that of the 1st floor. The indoor radon concentration was investigated accordingto the presence or absence of underground space. The concentration of radon on the 1st floor with undergroundspace was 37.25 Bq/m3, and the concentration of radon on the ground floor without underground space was47.94 Bq/m3. In the absence of underground space, indoor radon concentration was high. The indoor radonconcentration of buildings over 30 years old was 87.26 Bq/m3, indicating a significantly higher indoor radonconcentration compared to those of buildings less than 30 years old. The indoor radon concentration wasinvestigated according to the operation of a ventilator. The indoor radon concentration of space without anoperating ventilator was 52.17 Bq/m3, and that of space with a ventilator in operation for more than 8 hours perday was 36.31 Bq/m3. This result shows that the indoor radon concentration in the space with an operatingventilator is lower than the space where the ventilator is not in operation. The indoor radon concentration in thespace with an operating ventilation system was lower than that on the same floor of the same building, and theindoor radon concentration of enclosed space was about 4.4 times higher than that of open space in the samebuilding. In addition, the indoor radon concentration was measured according to the spatial features. Theconcentration of indoor radon of enclosed space was 64.76 Bq/m3, which is higher than those of an open spaceand an active space.

Community Structure of Benthic Macroinvertebrate Affected by Lake Water and Sewage Effluent at Urban Stream in Gwangju, Korea

윤상훈,정숙경,서광엽,조영관 한국하천호수학회 2017 생태와 환경 Vol.50 No.3

The ecosystem in the Gwangju Stream has taken a wide range of disturbance such as the discharging water of sewage treatment plant, the lake water and the river water from different water system over the past decade. This study was figured out some significant influence factors by analyzing the relationship between biotic and abiotic factors in the urban stream. Abiotic components included 15 water quality variables which were measured in five sampling sites along the stream from October 2014 to July 2015, whereas the benthic macroinvertebrates found in those sites were used to estimate various biotic indices representing the ecological status of the community. The results of correlation analyses indicated that abiotic factors by human activities affected on the inhabitation of benthic macroinvertebrates more than biotic factors. The results of cluster analyses and ANOVA tests also showed that biotic and abiotic characteristics were clearly different in season. The main influence factors of cluster analysis by sites were NH3-N, EPT(I) and DO. It was considered that more various statistical analyses would be necessary to find some different relationships and influence factors between biotic and abiotic variables in the urban stream.

제1주제 : 석면제거 음압기 기술동향 : 설계 및 시험기준을 중심으로

강선행,김호영,서광엽 대한환경위생공학회 2009 대한환경위생공학회 정기총회 및 학술발표회 Vol.2009 No.-

인자분석을 이용한 광주지역 미세먼지(PM₁₀)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 PM₁₀ 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 NO₃ ^- and NH₄ ⁺. In addition, NH₄ ⁺ was highly correlated with SO₄ ^2-and NO₃ ^-. 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 PM₁₀ 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.

광주지역의 택지개발지구 소음도 조사연구

강영주,백계진,김찬중,박강수,서광엽,문향미,고은미,고영춘,김연희 한국소음진동공학회 2004 한국소음진동공학회 논문집 Vol.14 No.6

This study was carried out to investigate the present state of noise level including three general districts and two roadside areas at the Residential Area such as Sangmu, Pungam, Moonheung, and Ilgok Area. The noise level was measured quarterly. The results were shown that the noise level of day time was no great difference and that noise level of night time represented ranges between 44 to 48 dB(A). The noise level of day time was higher 4 to 7 dB(A) than night time. At the roadside areas, average noise level of day time was suitable to the requirements of environmental criteria. However. only one point of two points exceeded the noise level of environmental criteria. except Pungam Area. The noise level of night time in all areas was 58 dB(A), showing more 3 dB(A) than the environmental criteria (55 dB(A)). The difference of noise level between day time and night time was approximately 5 to 7 dB(A) in all Area. The noise level of day time was not dependent on all seasons, whereas that night time is dependent on season, especially showing lower noise level in winter. Showing the changes on the times in a day, it reached the highest at 16:00, mainly resulting in a lot of activities of people. The maximum noise level (Lmax) from 3 or 4 military aircraft showed almost the same. The noise level of aircraft in Sangmu Area was 71.5∼78.1 WECPNL,