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

광주광역시 대기오염측정소 주변 교통량이 대기질에 미치는 영향

이대행,안상수,송형명,박옥현,박강수,서광엽,조영관,김은선,Lee, Dae-Haeng,An, Sang-Su,Song, Hyeong-Myeong,Park, Ok-Hyun,Park, Kang-Soo,Seo, Gwang-Yeob,Cho, Young-Gwan,Kim, Eun-Sun 한국환경보건학회 2014 한국환경보건학회지 Vol.40 No.3

Objectives: Vehicular emissions are one of the main sources of air pollution in urban areas. Correlation analysis was conducted between air pollutants and traffic volume in order to identify causes of air pollution in Gwangju. Methods: Using traffic volumes and air quality monitoring data from 2002 to 2012 from nine stations (seven urban areas, two roadside areas), especially at three sites where traffic volumes were high, the correlation coefficients were obtained between air pollutants as PM-10 (particulate matter), $NO_2$, $SO_2$, CO and $O_3$ at the stations and traffic volumes near the air monitoring stations. Results: Due to traffic volume and distance between the station and the traffic road, concentrations of pollutants at roadside areas were higher than at urban areas, with the exception of $O_3$. The concentration of $O_3$ showed statistically significance with those of other gas materials as $NO_2$, $SO_2$, and CO in winter (p<0.001) and spring (p<0.05). During the period of October 7 to 20, 2012, excluding periods of yellow dust, smog and rainy season, the ratio of $NO/(NO+NO_2)$ showed the highest value 0.57 and 0.40 at Unam and Chipyeong of two roadside stations, followed by 0.35 at Nongseong with vehicular effects. The correlation coefficient between traffic volume and $O_3$, CO, $NO_2$ became higher when the data on mist and haze days were excluded, than when all hourly data were used in that period, at the three sites of Unam, Chipyeong, and Nongseong. Conclusions: Air quality showed a considerable effect from vehicles at roadside areas compared to in urban areas. Air pollutant diminishment strategies need to be aggressively adopted in order to protect atmospheric environment.

광주지역 폐수배출사업장의 수질오염 미규제물질 실태조사 - 음이온류와 알킬페놀류를 대상으로 -

이우진 ( Woo-jin Lee ),서동주 ( Dong-ju Seo ),정연재 ( Yeon-jae Jeong ),박미애 ( Mi-ae Park ),박주현 ( Ju-hyun Park ),전홍대 ( Hong-dae Jeon ),이윤국 ( Youn-goog Lee ),서광엽 ( Gwang-yeob Seo ),정정조 ( Cheong-jo Cheong ),김난희 ( 한국환경기술학회 2023 한국환경기술학회지 Vol.24 No.1

In this study, anions (Chloride ion, Sulfuric acid ions) and alkylphenols (Nonylphenol and Octylphenol) were analyzed for wastewater discharge facilities to investigate the emission industry of unregulated water pollutants. Chloride ion showed high concentrations in the “Textile and leather processing”, “plating” facilities and the concentration range was 5.9~1,178.1 mg/L. Sulfate ion were detected at high concentrations in “Battery and semiconductor”, “petrochemical” industry and the concentration range was 2.6~7,761.0 mg/L. Nonylphenol was detected at a high concentration in the “Repair and car wash” facility and the concentration range of nonylphenol was 0.210~114.871 ug/L. Octylphenol was detected in high concentrations in the industries of “Repair and car wash”, “steel and metal processing”, “plating” facility and the concentration range of octylphenol was 0.193~170.113 ug/L.

하수처리 방류수 BOD5 중 NOD 기여율에 관한 연구

민경우 ( Kyoung Woo Min ),정원삼 ( Won Sam Jeong ),이대행 ( Dae Haeng Lee ),서광엽 ( Gwang Yeob Seo ),김승호 ( Seung Ho Kim ),백계진 ( Ke Jin Paik ),문용운 ( Young Woon Mun ) 한국환경분석학회 2011 환경분석과 독성보건 Vol.14 No.1

In this study, BOD5, CBOD, NOD, T-N etc. were analyzed for influent and effluent samples collected from two sewage treatment plants(STPs) and for river water samples. The sampling took place from March to October, 2010. The NOD contribution to BOD5 varied with the sampling site, NOD accounts for 10~15% of BOD5 for STP influent, 45~56% for STP effluent, 3~26% for the stream water, respectively. The contribution of NOD to BOD5 also varied with water temperature, the contribution ratio was about 20% during the summer (July-September), however NOD portion of BOD5 was 50%~60% during the spring and the fall. In addition, the experimental NOD values for STP effluent were compared to theoretical NOD ones. The ratio of theoretical value to experimental one was 0.89~1.21 implying that the experimental value would be very close to the theoretical one. BOD5 and various types of nitrogen were analyzed for 10 days. Some samples showed complete nitrification and some did not. One sample showed nitrification immediately after 5 days of incubation.

단보 : 가정용 정수기 정수효과 실태조사

김난희 ( Nan Hee Kim ),위환 ( Whan Wi ),조광운 ( Gwang Woon Jo ),이윤국 ( Youn Goog Lee ),윤상훈 ( Sang Hoon Yoon ),강영주 ( Yeong Ju Kang ),김은선 ( Eun Sun Kim ),서광엽 ( Gwang Yeob Seo ) 한국환경분석학회 2013 환경분석과 독성보건 Vol.16 No.2

The analysis of raw water and purified water from 105 social welfare organizations in Gwangju was performed to find out the purification effect of water purifiers in use. In the study, 105 purified water samples and corresponding raw water samples (95 from tap water, 10 from groundwater) were analyzed. Forty six inspection items of drinking water standard and main minerals (Ca2+, Mg2+, K+, Na+) were analyzed for groundwater and 28 items such as heavy metals, microorganisms, disinfection by-products, aesthetic materials were analyzed for tap water. When the concentration of each item in purified water showed lower than that of raw water, we expressed the results as the positive(+) effect and vice verse, negative(-) effect. The results of the purification effect of water purifier using tap water and groundwater were presented (+) effect 39.6% and (-) effect 28.0%, (+) effect 39.1% and (-) effect 30.1%, respectively.

풍영정천 하상퇴적물의 중금속오염에 대한 연구

배석진 ( Seok Jin Bae ),민경우 ( Kyoung Woon Min ),서희정 ( Hee Jeong Seo ),이경석 ( Kyoung Seok Lee ),서광엽 ( Gwang Yeob Seo ),김승호 ( Seung Ho Kim ),박종태 ( Jong Tae Park ),백계진 ( Kye Jin Paik ),송영일 ( Young Il Song ) 한국수처리학회 2009 한국수처리학회지 Vol.17 No.1

도심하천인 풍영정천에서 저서성 대형무척추동물 분포와 수질과의 통계적 관계 분석

윤상훈 ( Sang-hoon Yoon ),양윤철 ( Yoon-cheol Yang ),서광엽 ( Gwang-yeob Seo ),조영관 ( Young-gwan Cho ) 한국물환경학회(구 한국수질보전학회) 2018 한국물환경학회지 Vol.34 No.2

This study aims to determine the community patterns of benthic macroinvertebrates and analyze the relationship between the communities and the water quality in the Pungyeongjeong Stream. We collected the samples four times by season. The number of species was 28 and the dominant species were Cheumatopsyche brevilineata, Hydropsyche kozhantschikovi, Baetis fuscatus, Chironomidae spp., and so on. The range of the dominant index was 0.54 to 0.93 and the mean was 0.77. The range of the diversity index was 0.94 to 2.54, and of the mean index it was 1.75. The ratio of filtering-collectors and clingers got lower, but the ratio of gathering-collectors and sprawlers got higher as collection progressed from the upper stream to the lower stream. The results of the Pearson correlation analysis showed COD, SS, TOC and total coliforms were highly related with biotic indices of benthic macroinvertebrates. The results of cluster analysis and non-metric multidimensional scaling ordination showed that the survey sites and periods were divided into three groups. The survey sites were divided into upper stream and middle-lower stream. The survey periods were divided into winter season and other seasons. Distribution of benthic macroinvertebrates showed some characteristics according to various influence factors; however long-term and regular investigations were thought to need analysis and prediction with various statistical methods.

비정제 유채유의 산패에 미치는 금속이온의 영향

김연순(Youn-soon Kim),김윤수(Youn-su Kim),남형근(Hyung-gun Nam),서광엽(Gwang-yeob Seo) 대한환경위생공학회 2009 대한환경위생공학회지 Vol.24 No.1

In order to investigate effect of metal ion and antioxidant on rancidity of crude rapeseed oil (CRO), Fe²?, Cu²?, Co²?, Ni²?, Cr²?, Sn²?, Mn²?, Zn²?, and antioxidants including BHA, Vitamin C, and Tocopherol were used. The specific gravity and refractive index of CRO were 0.92g/㎤ and 1.45,respectively. The chromaticities of light, red, and yellow in CRO were 88.6 and 98.7, respectively. Among various fatty acids, Oleic acid (C18:1) concentration was highest, 62.3% and Linoleic acid (C18:2) concentration was 19.16%. In the case of Linolenic acid (C18:3) and Palmitic acid (C16:0), they were 9.88 and 5.2%, respectively. The concentrations of unsaturated fatty acids and saturated fatty acid were 92.2 and 7.8%, respectively. The degree of expediting rancidity of CRO was an order of Fe²?> Cu²?> Cr²?> Zn²?> Ni²?> Al²?> Mn²?> Mn²?> Sn²?> Co²?> Li²?. Especially, when Cu²? and Fe²? was used, the peroxide value concentration was about 4.0 fold higher than non addition of them. The inhibition effect of rancidity of CRO using antioxidant with Cu²? and Fe²? was an order of BHA> Vitamin C>Tocopherol.