• 한국대기환경학회지
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• 제10권4호
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• pp.245-251
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• 1994

We considered that characteristics of SO$_2$, concentration level and relations of the meteorological parameters and high pollution concentration from the data measured 7 air quality continuous monitoring stations during 4 years, from 1990 to 1993 in Pusan. The SO$_2$ concentration level showed decreasing trend yearly, it was maximum in Winter, minimum in Summer. The time of SO$_2$ peak concentration lagged from seashore to land because of break-down of the nocturnal inversion layer and seabreeze. Ihe correlations of daily SO$_2$, value between various air quality continuous monitoring stations were highest between Beomcheondong and Meongryundong, lowest between Daeyeondong and Sinpyeongdong because of difference of air Pollution emission sources characteristic. The meteorological parameters affecting SO$_2$ concentration level were minimum temperature, relative humidity, wind speed and air pressure. The SO$_2$ high pollution($\geq$95ppb) occurred almost in Winter, particulaly in such day showing lower wind speed and higher air pressure. Elementary SO$_2$ high Pollution Predictor were high pressure system and stability of lower atmosphere.

• 도시과학
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• 제9권2호
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• pp.31-44
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• 2020

This study aims to analyze the relations among greenbelt, air pollution empirically in order to assess the environmental effects of the greenbelt in the Seoul metropolitan area, objectively. For this purpose, this study conducts an empirical analysis of impacts of greenbelt on urban air pollution using a multiple-regression model. The major findings are summarized as follows. As a result of an empirical analysis of the impacts of greenbelt on air pollution, it is found that the characteristics of the city have impacts on air pollution concentration. It is found that the population and employment are the causes of increases in CO and NO2 concentrations, and the number of employees in the manufacturers has impacts on increases of O3 and SO2, while power plants have impacts on PM10, CO and NO2. Intersections have impacts on O3 and SO2, while the areas of the roads have impacts on CO and NO2. In addition, as for the spatial distribution of air pollutants, it is found that CO and NO2 concentrations are relatively higher in the center of the Seoul metropolitan area, while PM10, O3 and SO2 concentrations are relatively higher in the suburbs. It is found that air pollution concentration is low in greenbelt zone. In the greenbelt zone, PM10, CO and SO2 concentrations are low.

• 환경위생공학
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• 제17권1호
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• pp.20-27
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• 2002

This study has researched the indoor air Pollution in the school classrooms. It focused on the school classrooms in which the students take part in many loaming activities for a long time, not focused on the offices or underground facilities that have occupied the interest so far. First, I investigated the origination sources of indoor air pollution which influences on our health, and researched the data on the consequences of it on the human body. Second, I measured the indoor air Pollution level of the classrooms in which the students take part in activities. I selected CO, $CO_2,{\;}SO_2,{\;}NO_2$and $PM_{10}$ as the research items. Each two schools were chosen in the elementary schools, middle schools and high schools as the ones for measurement. And I distinguished the boys' schools from the girls' schools in the middle and high schools. CO, $SO_2{\;}and{\;}NO_2$were comparatively low comparing with the recommendation of the Ministry of Environment. But, $CO_2{\;}and{\;}PM_{10}$ exceeded the standard concentration in most schools and there was a difference between boys'classrooms and girls'classrooms about them. Also, it was different by the number of members a classrooms. Third, I made a questionnaire on the on the indoor air pollution. The questionnaire showed that many students feel the indoor air pollution directly and they are under the influence of it.

• 한국대기환경학회:학술대회논문집
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• 한국대기환경학회 2004년도 추계학술대회 논문집
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• pp.298-299
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• 2004

• 한국산학기술학회논문지
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• 제16권4호
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• pp.2876-2882
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• 2015

본 연구의 목적은 대표적 점오염원인 석탄화력발전소의 대기오염방지시설을 개선했을 때 최대 착지 농도 및 주변지역의 대기오염도 변화를 파악하는데 있다. 대기오염방지시설 개선 전 후의 대기질을 예측 비교하여 시설의 개선 효과가 어느 정도인지를 분석하였다. 대기질 예측에는 바람장의 변화를 Puff의 이동으로 나타낼 수 있고, 비정상 상태를 구현 할 수 있는 대기오염확산모델인 CALPUFF 모델을 이용하였다. 화력발전소의 주요 대기오염배출 물질인 아황산가스($SO_2$), 이산화질소($NO_2$), 먼지($PM_{10}$) 항목을 예측 항목으로 선정하였다. 연구결과 $SO_2$, $NO_2$ 항목은 대기오염방지시설 개선으로 인하여 최대 착지지점 및 주변지역의 대기질 오염도 감소에 상당히 효과가 있는 것으로 분석되었다. $PM_{10}$ 항목의 경우에는 최대 착지지점에서는 오염도 감소 효과가 높으나, 석탄 화력발전소 주변지역의 대기오염도 감소 효과는 다소 낮게 분석되었다.

• 한국환경과학회지
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• 제8권3호
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• pp.281-286
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• 1999

This study was conduced to examine the monthly and seasonal variation of $SO_2$, TSP, $O_3$ concentration in Dongsamdong, Pusan coastal area. And the characteristics of air pollution of this area was compared to Kwangbokdong in Pusan and Taehadong in Ullungdo. Monthly mean concentration of $SO_2$ and TSP showed lower than Kwangbokdong, $O_3$ was higher than Kwangbokdong. In case of $SO_2$, seasonal variation of Dongsamdong was remarkabler thn Kwangbokdong and the concentration difference of early morning and daytime was higher than Kwangbokdong. Taehadong showed very lower concentration as background area. In case of TSP, Dongsamdong was lower concentration and smaller diurnal change than Kwangbokdong, Taehadong showed very lower concentration as backgound area. In case of $O_3$, Dongsamdong was 10ppb higher than Kwangbokdong at daytime maximum concentration, diurnal change of concentration was higher, too. In case of frequency distribution of concentration, $SO_2$, and TSP at Dongsamdong showed higher frequency in low concentration class and $O_3$ showed in high concentration class as compared with Kwangbokdong.

• Environmental Engineering Research
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• 제20권3호
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• pp.260-267
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• 2015

The $PM_{10}$, $SO_2$ and $NO_2$ mass concentrations were obtained over five years from monitoring stations across Nanchong, a southwest city in China. Changes in urban air quality over time, as well as the factors influencing that change, were evaluated based on air pollutant concentrations, the Air Pollution Index (API), and the Comprehensive Pollution Index (P). The results showed that the total annual mean $PM_{10}$, $SO_2$ and $NO_2$ concentrations over the five years studied were $61.1{\pm}1.1$, $45.0{\pm}3.9$ and $34.9{\pm}4.9{\mu}g{\cdot}m^{-3}$, respectively. The annual mean concentrations displayed a generally decreasing trend; lower than the annual mean second-level air quality limit. Meanwhile, the annual mean API values were in a small range of 52-53, the air quality levels were grade II, and P values were 1.06-1.21 less than the slight level ($P{\leq}1.31$). Total monthly mean $PM_{10}$, $SO_2$, $NO_2$ concentrations, and API and P values were consistently higher in winter and spring than during autumn and summer. The results of a correlation analysis showed that temperature and pressure were the major meteorological factors influencing pollution levels. Pollution sources included industrial coal and straw burning, automobiles exhaust and road dust, fireworks, and dust storms.

• 한국환경과학회지
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• 제3권4호
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• pp.357-365
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• 1994

Air pollution characteristics and the influence of sea breeze on air pollution concentration were studied using the data measured at 7 air quality continuous monitoring stations in Pusan, 1993. Maximum air pollution concentration in Pusan was Gamjeondong for $SO_2$, Sinpyeongdong for TSP, Daeyeondong for $O_3, Kwangbokdong for $NO_2$, Beomcheondong for CO and all substances were under annual ambient air quality standards. Increased rate of concentration for sea breeze was 24.4% for 502, 31.5% for TSP, 8.0% fort $O_3, 26.7% for $NO_2$, 15.7% for CO. Frequencies distribution of $SO_2$, TSP, $O_3$, $NO_2$, and CO concentration for sea breeze moved toward high concentration class.

• 한국정보전자통신기술학회논문지
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• 제14권4호
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• pp.328-337
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• 2021

석면, 벤젠과 같이 발암물질 1급인 미세먼지는 각종 질병에 원인이 되고 있다. 초 미세먼지 확산은 코로나 바이러스 확산의 중요한 원인중 하나이다. 본 논문은 2015년부터 2019년까지 서울시 평균 기온, 강수량, 평균 풍속등의 기상 데이터와 SO2, NO2, O3,등의 대기 환경 데이터를 기반으로 미세먼지와 초 미세먼지를 분석하고 예측한다. 계절별과 월별로 미세먼지와 초미세먼지 현황을 파악·분석하며 미세먼지를 예측하기 위해 기계학습 모델 중 선형회귀, SVM, 앙상블 모델을 이용하여 비교 분석하였다. 또한 미세먼지와 초 미세먼지 발생에 영향을 미치는 중요한 피쳐(속성)를 파악한다. 본 논문이 파악한 결과 3월에 가장 (초)미세먼지가 높았고, 8월에서 9월까지 (초)미세먼지가 가장 낮았다. 기상 데이터일 경우 (초)미세먼지에 가장 영향을 미치는 데이터가 평균 기온이며, 기상 데이터와 대기 환경 데이터일 경우 NO2가 (초)미세먼지 발생에 가장 크게 작용하였다.

• 한국환경보건학회지
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• 제27권1호
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• pp.51-55
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• 2001

The pollution characteristics of water quality analysis and the heavy metal analysis of river sediment in the Western Nakdong river, and then a commercial tile using the polluted sediment was produced. The analytical results of the riverbed structure and the depth distribution in the Western Nakdong river were that Macdo Stream(site 2) was the deepest(13 ft). The analytical result of water quality showed that BOD was the highest in the Hogei Stream(site 6); COD, Syanduengchi Island(site 1);SS, Macdo Stream(site 2);T-N, Suanduengchi Island(site 1);T-P, Macdo Stream(site 2). Therefore the deeper the site was the higher the pollution concentration was. The result of heavy metal analysis of the river sediment was that Pb and Cr were the highest in Kangdong Bridge(site 9); Cd, Macdo Stream(site 2), so the deeper the site was the higher the pollution concentration was. The production of tile using the mixure of the polluted sediment and the raw material was successful, so the reuse of polluted sediment was possible.