• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2003년도 추계학술대회 논문집
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• pp.364-365
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• 2003

최근 대기기인 오염물질이 환경계에 미치는 영향에 대한 관심이 높아짐에 따라 호소수질에 직ㆍ간접적으로 영향을 주는 대기오염물질에 대한 관심이 커지고 있다. 특히 호소에 유입되는 영양염류 중 질소화합물에 대한 기여수준을 평가한 최근자료에 의하면 대규모 호소 중 89％에 상당하는 호소수내의 질소성분이 자연적으로 존재하는 양을 초과하고 있는 것으로 판단하고 있으며, 초과된 질소성분 중 최고 38％가 대기오염물질과 관련된 질소성분인 것으로 보고하고 있다. (중략)

• 한국대기환경학회지
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• 제11권2호
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• pp.118-129
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• 1995

일반폐기물의 효과적인 처리방법으로 소각처리가 중요시되고 있으나 폐기물의 소각과정에서 대기오염물질이 발생, 배출되게 되므로 이에 대한 적절한 대책이 필요하다. 배출되는 대기오염물질의 종류 및 양은 소각하는 폐기물의 성상이나 폐기물 소각로의 형태, 소각로의 운전 조건에 따라 달라질 수 있으나 주요 오염물질로는 최근 문제시되고 있는 Dioxin이나 광화학스모그를 유발시키는 질소산화물(이하 NOx), 염화수소 등을 들 수 있다. 이러한 오여물질에 대한 환경오염을 방지하기 위해서는 적절한 배출억제대책이 필요하다. 본고에서는 폐기물의 소각시 배출되는 대표적인 오염물질의 특성과 그 배출억제 방법에 대해 기술하고자 한다.

• 대한예방의학회:학술대회논문집
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• 대한예방의학회 1998년도 제50차 추계 학술대회 연제집
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• pp.200-201
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• 1998

• 한국대기환경학회지
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• 제15권1호
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• pp.63-69
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• 1999

To offer a general guideline for the quantitative analysis of airborne pollutants, we designed and conducted a comprehensive QA/QC test using two different strategic approaches, namely (1) field-based comparative measurement and (2) laboratory-based comparative analysis. The former task was performed to make meaningful comparison of combined errors occurring from both sampling and analytical techniques in the measurements of such components as: (1) criteria pollutants, (2) volatile organic compounds (VOCs), and (3) particulate matters with the associated metals and ions. The latter task was also conducted to compare various types of bias arising mainly from the laboratory analytical procedures of (1) gaseous standards of VOCs and (2) of aqueous standards of metals and ions. The concentration data derived from each of these two different types of major tasks were evaluated per chemical species categorized as above. While the very details of these studies are to be reported on an individual basis according to the above classification of the project, this paper is presented to provide an overview of the whole project - its aim and direction.

• 한국대기환경학회지
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• 제29권1호
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• pp.1-9
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• 2013

Hazardous Air Pollutants (HAPs) are difficult to measure, analyze and assess for risk because of low ambient concentrations and varieties. Types of HAPs are Volatile organic compounds (VOCs), Polycyclic aromatic hydrocarbon (PAHs) and Aldehydes. HAP emissions from vehicles are a contributor to serious adverse health effects in urban areas. In this study, hazardous air pollutant emissions from road transport vehicles by Non-methane volatile organic compounds (NMVOC) weight fraction and PAHs emission factors are estimated in 2008. The top-five-most hazardous air pollutant emissions were estimated to toluene 864.3 ton/yr, acrolein 690.6 ton/yr, acetaldehyde 554.5 ton/yr, formaldehyde 498.7 ton/yr, propionaldehyde 421.6 ton/yr in 2008. The results for a cancer and non-cancer risk assessment of HAPs emissions show that the major cancer driver is formaldehyde and the non-cancer driver is acrolein.

• 한국대기환경학회지
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• 제13권5호
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• pp.397-410
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• 1997

An annular denuder filter pack sampling system (ADS) was used to collect acidic air pollutants in Pusan. During the study period (from June 1995 to November 1995), forty eight samples were collected every 12 hours starting from 6:00 in the morning. These samples were devided into two sets of data for day (6:00 a.m.-6:00 p.m.) and night (6:00 p.m.-6:00 a.m.). The chemical species were analyzed for HN $O_3$, HN $O_2$, S $O_2$ and N $H_3$ in the gas Phase, and N $O_3$$^{[-10]}$ , S $O_4$$^{2-}$ and N $H_4$$^{+}$ in the particulate phase. The mean concentrations measured from this study were 0.24, 1.91, 30.07 and 4.24 $\mu\textrm{g}$/㎥ for HN $O_3$, HN $O_2$, S $O_2$ and N $H_3$, respectively. The mean concentrations of N $O_3$$^{[-10]}$ , S $O_4$$^{2-}$ and N $H_4$$^+{\ulcorner}$ were 1.95, 7.36 and 3.48 $\mu\textrm{g}$/㎥, respectively. The mean concentrations of gaseous species except for HN $O_2$ were higher in daytime than in nighttime, but the reverse was true in the particulates except for N $H_4$$^{+}$. +/..

• 대한원격탐사학회지
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• 제38권1호
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• pp.1-20
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• 2022

As unmanned aerial vehicle (UAV) technology grew in popularity over the years, it was introduced for air quality monitoring. This can easily be used to estimate the sidewalk emission concentration by calculating road traffic emission factors of different vehicle types. These calculations require a simulation of the spread of pollutants from one or more sources given for estimation. For this purpose, a Gaussian plume dispersion model was developed based on the US EPA Motor Vehicle Emissions Simulator (MOVES), which provides an accurate estimate of fuel consumption and pollutant emissions from vehicles under a wide range of user-defined conditions. This paper describes a methodology for estimating emission concentration on the sidewalk emitted by different types of vehicles. This line source considers vehicle parameters, wind speed and direction, and pollutant concentration using a UAV equipped with a monocular camera. All were sampled over an hourly interval. In this article, the YOLOv5 deep learning model is developed, vehicle tracking is used through Deep SORT (Simple Online and Realtime Tracking), vehicle localization using a homography transformation matrix to locate each vehicle and calculate the parameters of speed and acceleration, and ultimately a Gaussian plume dispersion model was developed to estimate the CO, NOx concentrations at a sidewalk point. The results demonstrate that these estimated pollutants values are good to give a fast and reasonable indication for any near road receptor point using a cheap UAV without installing air monitoring stations along the road.

• Clinical and Experimental Pediatrics
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• 제64권10호
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• pp.525-530
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• 2021

Background: Exposure to air pollution (gaseous pollutants and/or particulate matter) has been associated with the incidence, prevalence, and mortality of type 1 diabetes (T1D). Purpose: To examine the quantitative relationship between air pollutant emissions and the incidence of T1D. Methods: We examined the association between the incidence of T1D and type 2 diabetes (T2D) in 2017 as well as that of T1D in patients younger than 15 years in 2016 with "emissions of air-polluting substances from stationary and mobile sources by regions of the Russian Federation in 2016" as reported by the Federal Diabetes Register of Russia downloaded from the Russian government website (http://www.mnr.gov.ru/docs/gosudarstvennye_doklady/o_sostoyanii_i_ob_okhrane_okruzhayushchey_sredy_rossiyskoy_federatsii/). Results: The incidence of T1D across all ages in each region of the Russian Federation correlated with the total air pollutants emitted in the region each year (r=0.278, P=0.013). The incidence of T2D was also correlated with the amount of air pollutants (r=0.234, P=0.037) and the incidence of T1D (r=0.600, P<0.001) in each country. Similarly, the incidence of T1D in patients younger than 15 years correlated with the total air pollutants emitted each year in each region (r=0.300, P=0.011). Conclusion: The quantitative relationship between the total air pollutants emitted and the incidence of T1D and T2D in the Russian Federation suggests that air pollution contributes to the development of T1D and T2D.

• 한국대기환경학회지
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• 제3권2호
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• pp.46-52
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• 1987

There are many factors such as airtighteness and high density of merchandises or passengers that contaminate indoor air in underground commercial floor. So it is very important to know air quality and quantity of contamination in underground market increasing in number lately. It was from these viewpoints that gaseous pollutants, dusts and mutagenicity of organic compounds extracted from dusts in an underground market were investigatd. Organic ompounds (tar) were extracted by Soxhlet extractor with benzene as a solvent. Mutagenicities of these extracts were evaluated by the preincubation method using Salmonella typhimurium TA 100 and TA 98 strains with and without S9mix. The results obtained were as follows: It seemed to be under the influence of outdoor air that the concentrations of $CO, CO_2, NO, NO_2$ and dusts were higher in winter than summer. The concentration of $CO_2$ was higher in indoor than outdoor, but the concentration of NOx was similar in both sampling areas. Metal contents in dusts attached to the ventilation ducts were as follows showing in order of high concentration : Fe (9000-22000ppm), Zn(1200-2300ppm) and Pb (280-590ppm). The contents of tar were 6-33% of dusts, and higher than those from dusts collected by high volume air sampler. The extracts from dusts attached to the inlet duct exhibited lower mutagenicity than those from dusts attached to the outlet duct. This finding seemed to suggest that mutagenic substances were in creasing in underground. There was no seasonal difference of mutagenicity toward TA 98. Toward TA 100 in the presence of S9mix, the mutagenicity was about 3 fold higher in winter than summer. The mutagenicities of tar extracted from dusts collected by high volume air sampler were different from those attached to the ventilation ducts. The former showed 2-3 fold higher mutagenicity than the latter toward TA 100. However no difference showed between the former and the latter toward TA 98 in the absence of S9mix, but the former was 4-5 fold higher than the latter in the presence of S9mix.

• 한국대기환경학회지
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• 제20권4호
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• pp.539-553
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• 2004

Up to the present time, many methods to estimate emissions from a particular diesel engines have wholly depended on the quantity of diesel fuel consumed. Then, the recommended emission factors were normalized by fuel consumption, and further total activity was estimated by the total fuel consumed. One of main purposes in the study is newly to develop emission factors for the railroad diesel rolling stock (RDRS) and to estimate a total amount of major gaseous pollutants from the RDRS in Korea. Prior to develop a Korean mode emission factor. the emission factor from the USEPA was simply applied for comparative studies. When applying the USEPA emission factors, total exhaust emissions from the RDRS in Korea were estimated by 28,117tons of NOx, 2,832.3tons of CO, and 1,237.5tons of HC, etc in 2001. In this study, a emission factor for the RDRS, so called the KoRail mode (the Korean Railroad mode) has been developed on the basis of analyzing the driving pattern of the Gyeongbu-Line especially for the line-haul mode. Explicitly to make the site specific emission factors, many uncertainty problems concerning weighting factors for each power mode, limited emission test, incomplete data for RDRS, and other important input parameters were extensively examined. Total exhaust emissions by KoRail mode in Korea were estimated by 10,960tons of NOx, and 4,622tons of CO, and so on in the year of 2001. The emissions estimated by the USEPA mode were 2.6 times higher for NOx, and 1.6 times lower for CO than those by the KoRail mode. As a conclusion, based on the emission calculated from both the USEPA mode and the KoRail mode, the RDRS is considered as one of the significant mobile sources for major gaseous pollutants and thus management plans an(1 control strategies for the RDRS must be established to improve air quality near future in Korea.