• 제목/요약/키워드: Urban air pollution

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Research on Air Pollution Status and Its Control Technology in China

  • Xia, Sai;Yang, Zhen Yu;Jin, Jie
    • 도시과학
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    • 제8권2호
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    • pp.47-52
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    • 2019
  • China's rapid economic growth has also caused serious air pollution, endangering the health of the people and the good operation of the surrounding ecological environment.In this paper, the current situation of air pollution in China is briefly described, and the sources and changing trends of major air pollutants (including PM10, PM2.5, SO2, NO2, CO and O3)are analyzed. Meanwhile, the treatment technologies and measures for atmospheric pollutants under the current situation.

바람장 분석을 통한 도시숲 미세먼지 관측 장비 설치 지점 선정 (Selection of Particulate Matter Observation Measurement Sites in Urban Forest Using Wind Analysis)

  • 이아름;정수종;박찬열;박훈영;윤종민;손정훈;배연
    • 대기
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    • 제29권5호
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    • pp.689-698
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    • 2019
  • Air pollution in urban areas has become a serious problem in the recent years. Especially, high concentrations of particulate matter (PM) cause negative effects on human health. Several studies suggest urban forest as a tool for improving air quality because of the capability of forests in reducing PM concentrations through deposition and adsorption using leaf area. For this reason, the National Institute of Forest Science plans to install in-situ observation stations for PM and biogenic volatile organic compounds (BVOCs) on a national scale to verify the net effect of forests on urban air pollution. To measure the quantitative change of PM concentrations due to the urban forest, stations should be located within and outside the forest area with respect to atmospheric circulation. In this study, we analyze the wind direction at the potential measurement sites to assess suitable locations for detecting the effect of urban forests on air quality in five cities (i.e. Gwangju, Daegu, Busan, Incheon, and Ilsan). This technical note suggests effective locations of in-situ measurements by considering main wind direction in the five cities of this study. A measurement station network created in the future based on the selected locations will allow quantitative measurements of PM concentration and BVOCs emitted from the urban forest and help provide a comprehensive understanding of the forest capabilities of reducing air pollution.

부산연안역에서의 대기오염기상 예보시스템 개발에 관한 연구 -고농도 오존일의 예측을 중심으로- (A Study on Development of Air Pollution Weather Forecast System over Pusan Coastal Area - Centering around Forecast of Ozone Episode Day-)

  • 김유근;이화운
    • 한국환경과학회지
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    • 제5권4호
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    • pp.399-410
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    • 1996
  • Pusan is the largest coastal city with a population of about four mi18ion in Korea. Because of increased and confused traffic, photochemical air pollution become a major urban environmental problem recently. The photo-chemical air pollution weather forecasting method preciser than existing air pollution forecast method has been developed to forecast ozone episode days with meteorological conditions using the data measured at 7 air quality continuous monitoring stations from lune to September using 2 years (1994, 1995). The method developed in present study showed higher percentage correct and skill score than existing air pollution forecasting in KMA ( Korea Meteorological Administration).

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Temporal distribution, influencing factors and pollution sources of urban ambient air quality in Nanchong, China

  • Zhou, Hong;Li, Youping;Liu, Huifang;Fan, Zhongyu;Xia, Jie;Chen, Shanli;Zheng, Yuxiang;Chen, Xiaocui
    • 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.

GIS를 이용한 대기질 관리 정보 지원시스템(e-AIR) 구현( I ) (Development of Air Pollution Information System Using GIS (e-AIR))

  • 박기학;오승교
    • 환경위생공학
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    • 제18권2호
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    • pp.42-51
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    • 2003
  • Public awareness of air pollution problem has increased the need for real time air pollution information system about changes in air pollution level. The purpose of this study is to construct e-AIR, a user-friendly air pollution information system for urban air quality using GIS(geographic information system) technology for windows. GIS was ideally suited featuring a geographical characteristics(e.g., road, traffics, buildings) and very effectively used in mapping and symbolization for the distribution of the spatial/periodic pollution status(e.g., pie or column chart, graduated symbols) which can be effectively applied to a information system on the web-site. And a user interface, GUI(graphic user interface) was designed very diversely and simply enabled the users connect with e-AIR and obtain a useful information of air quality. A interpretive technique, air pollution health index(e.g., PSI, AEI) was used also which transforms complex data on measured atmospheric pollutant concentrations into a single number or set of numbers in order to make the data more understandable. Eventually the final-step of this study was to construct e-AIR based on Web GIS could be assessed anywhere if internet is available and offer a very useful information services of the air pollution to the public like a weather news.

GIS를 이용한 도심지 대기오염 측정망 최적위치 선정에 대한 연구 : 서울특별시를 대상으로 (Study on Optimal Location of Air Pollution Monitoring Networks in Urban Area Using GIS : Focused on the case of Seoul City)

  • Kim, Ayoung;Kwon, Changhee
    • 한국재난정보학회 논문집
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    • 제12권4호
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    • pp.358-365
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    • 2016
  • 미세먼지는 실생활과 밀접한 관련이 있으며 특히, 2014년 2월부터 대국민 환경서비스 제공의 일환으로 미세먼지 예보제를 시행중에 있어, 대기오염 측정망을 통한 미세먼지 측정자료의 신뢰성을 확보할 필요성이 대두되었다. 환경부에서는 국가 대기질 파악 및 대기정책수립을 위해 대기오염측정망(11종 506개소)을 운영 중이다. 그러나 현재 측정소 입지 선정 과정과 적합성을 확인 및 점검하는 체계가 미흡하다. 따라서 본 연구에서는 GIS를 활용한 도시 공간분석을 통해 대기오염 측정시설의 적절성 및 입지 형평성 등을 평가하고자 한다. 분석 결과를 통해 향후 서울시 대기오염 측정망 설치 계획에 반영 될 수 있도록 측정망의 최적입지를 도출함을 최종 목적으로 한다.

Analysis of the Correlation between Urban High Temperature Phenomenon and Air Pollution during Summer in Daegu

  • An, Eun-Ji;Kim, Hae-Dong
    • 한국환경과학회지
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    • 제28권10호
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    • pp.831-840
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    • 2019
  • Recently, summer high temperature events caused by climate change and urban heat island phenomenon have become a serious social problem around the world. Urban areas have low albedo and huge heat storage, resulting in higher temperatures and longer lasting characteristics. To effectively consider the urban heat island measures, it is important to quantitatively grasp the impact of urban high temperatures on the society. Until now, the study of urban heat island phenomenon had been carried out focusing only on the effects of urban high temperature on human health (such as heat stroke and sleep disturbance). In this study, we focus on the effect of urban heat island phenomenon on air pollution. In particular, the relationship between high temperature phenomena in urban areas during summer and the concentration of photochemical oxidant is investigated. High concentrations of ozone during summer are confirmed to coincide with a day when the causative substances (NO2,VOCs) are high in urban areas during the early morning hours. Further, it is noted that the night urban heat island intensity is large.. Finally, although the concentration of other air pollutants has been decreasing in the long term, the concentration of photochemical oxidant gradually increases in Daegu.

Research Method and Prediction Model of PM2.5 in Cities

  • Yang, ZhenYu;Xia, Sai;Jin, Jie
    • 도시과학
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    • 제8권2호
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    • pp.25-28
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    • 2019
  • Hefei has suffered from heavy air pollution, especially car exhaust and industry emissions. The smoke contains PM2.5 and PM10. These smoke will enter people's bodies and have a bad impact on the human body. This review is about PM2.5. This review covers the sources and hazards of PM2.5. It introduces the use of modelling methods to analyze PM2.5 pollution in various places and proposes treatment measures. These cities were heavily polluted by PM2.5, and after the local government's management and renovation, there has been a significant improvement. However, there are still many shortcomings in the process of pollution improvement. This review combines the means used in the process of pollution prevention and control in Handan City, Beijing. Hefei now suffers from some of the same pollution as these cities did in the past.

실내오염물질방출저감을 위한 주요건축자재의 시공기술에 관한 연구 (A study on the construction technology for major building material to reduce indoor air pollution)

  • 허정용;최창호;안형준;이윤규
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2007년도 동계학술발표대회 논문집
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    • pp.143-148
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    • 2007
  • Recently indoor air pollution caused by exposing hazardous chemicals (VOCs, formaldehyde) due to undiscriminated use of new construction materials and air-tightness to save energy is becoming a big issue. We have developed technologies to estimate the amounts of contaminants from constructions materials and method. We have further developed construction technologies to reduce and characterize these contaminants. The developed technologies were then refined to eliminate defects through considering field applicability.

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중앙차선 버스 정류장과 주변지역의 대기오염 특성 비교 (Comparison of Air Pollution Characteristics in the Center Lane-Bus Stop and the Surrounding Areas)

  • 이용기;김웅수;홍순모;신은상
    • 한국대기환경학회지
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    • 제30권4호
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    • pp.378-386
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    • 2014
  • The use of bus stop in the center lane has reduced the emissions of exhaust gas on the road due to the improvement of the traffic speed but has caused a health problem for the citizens who are waiting for the bus in the platform, and thus the air pollution control of bus stop in the center lane is emerging as a more important part. This study was conducted to investigate the air pollution degree for the center lane-bus stops in four regions using mobile air measuring vehicle, and to evaluate the characteristics of air pollution by comparing with the data measured at the urban air monitoring site close to the bus stops. In addition, the correlation analysis was performed to analyze the impact to neighboring region by vehicle exhaust gas. The regional mean concentration of nitrogen dioxide in the center lane-bus stops ranged from 0.025 to 0.043 ppm which shows from 2.5 times to 5.3 times higher than the values of urban air monitoring site selected as a control group. The regional mean concentration of ozone in the center lane-bus stops ranged from 0.023 to 0.034 ppm which shows from 3% to 28% lower than the values of urban air monitoring site selected as a control group. The concentrations of nitrogen dioxide and ozone for the sampling regions did not exceed one hour-air quality environmental standard (0.1 ppm). The mean concentration of particulate matter for four center lane-bus stops was $28{\mu}g/m^3$ which shows about 27% higher than the values of urban air monitoring site selected as a control group, and that of particulate matter did not exceed one day-air quality environmental standard ($100{\mu}g/m^3$). In the results of correlation analysis between data from center lane-bus stops and data from urban air monitoring sites, the correlation coefficient (r) of nitrogen dioxide was relatively low as 0.316 to 0.416, and the correlation coefficient was high as the distance was close and vice versa. However, the correlation coefficient of ozone ranged from 0.167 to 0.658 and the correlation coefficient was high as the distance was far and vice versa.