• Title/Summary/Keyword: 대기질 평가

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The Investigation of General Characteristics for Dry Deposition Velocity of $O_3$ (오존에 대한 건성침적속도의 일반적 특성 고찰)

  • 이화운;김유근;문난경
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2000.11a
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    • pp.191-193
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    • 2000
  • 오존 등 기체상 오염물질의 식물 표면에 대한 건성침적은 식물의 생물학적 활동에 피해를 줄 수 있으며(Runeckles and Chevone, 1992; Chappelka and Chevone, 1992), 건성침적 현상은 노출된 식물지표 환경의 화학적 특성을 변화시키는 작용으로 관심의 대상이 되고있다(Businger, 1986; Galbally et al., 1986; Chang et al., 1987; Wesely, 1989; Hicks et al., 1989). 이러한 기체상 오염물질의 침적현상은 대기질 관리에 있어서 오염물질의 적절한 감소계획을 산정ㆍ평가하기 위하여 지상 오염물질의 농도를 정확하게 추정하는 과정에서 필수적으로 고려되어야 하는 부분이다. (중략)

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Evaluation of Odor Active Compounds using Cryofocusing - GC/FID/Olfactometry (Cryofocusing-GC/FID/Olfactometry를 이용한 악취원인물질 평가)

  • 김만구;정영림;서영민;윤인구
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2001.11a
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    • pp.175-176
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    • 2001
  • 악취는 대기오염의 한 형태이며, 대개는 신체적 장해가 나타나기 이하의 농도에서 피해가 두드러지는 것으로 대기오염의 전구적 현상이라고도 할 수 있다. 현재 알려져 있는 화합물은 약 200만 가지로, 그 중에 약 40만종이 냄새가 있다고 한다. 냄새는 후각을 화학적으로 자극하여 원거리 정보를 전달하는 매체로, 후각은 냄새의 질과 세기를 종합적 혹은 분석적으로 식별하는 역할을 맡고 있다고 할 수 있다. 냄새 물질은 여러 가지 특성을 갖는데, 대부분의 악취는 특정한 몇 가지 냄새나는 물질에 의한 것이 아니라, 많은 물질을 포함하는 다성분계이다. (중략)

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Assessemets of the air quality in Seoul subway system (서울시 지하철 내의 공기질의 평가에 관한 연구)

  • 이희관;김신도;이정주;김민석;송지한;황의현
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2002.11a
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    • pp.212-213
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    • 2002
  • 급속한 도시화와 인구 고밀도화에 따라 수반되는 교통문제와 생활공간의 확보는 대부분의 대도시가 직면한 사회적 문제이다. 특히 교통문제 해결을 위해 서울시가 추진하고 있는 지하철 건설은 밀집화 된 도시의 공간활용 측면에 있어서 필연적이라고 할 수 있다. 서울시 지하철은 40% 이상의 높은 수송 분담율을 기록하고 있다. 그러나 양적인 증가에 반해, 공간적인 밀폐성 증가로 인한 대기질, 소음·진동 환경 의한 시민들의 건강 위해성 악화가 논란의 대상이 되고 있다. (중략)

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A Numerical Study on the Effects of Buildings and Topography on the Spatial Distributions of Air Pollutants in a Building-Congested District (건물 밀집 지역에서 대기오염물질 분포에 미치는 건물과 지형의 영향에 관한 수치 연구)

  • Kang, Geon;Kim, Jae-Jin;Lee, Jae-Bum
    • Korean Journal of Remote Sensing
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    • v.36 no.2_1
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    • pp.139-153
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    • 2020
  • Using a computationalfluid dynamics(CFD) model, thisstudy evaluated the representativeness of an air quality monitoring system (AQMS) in an urban area and presented a methodology to determine the suitable AQMS locations for specific purposes. For this, we selected a 1.6 km × 1.6 km area around the Eunpyeong-gu AQMS (AQMS 111181) as a target area. We conducted simulationsfor two emission scenarios (scenario one: air pollutants transported from inflow boundaries, scenario two: air pollutants emitted from roads). Urban airflows were markedly influenced by mountainous terrain located in the northeast and southeast of the target area, and complicated airflow patterns occurred around the buildings. The distributions of air pollutants were dependent on the terrain (mountain) in scenario one, but the road location and building height in scenario 2. We evaluated whether the AQMS could represent the air quality in the target area based on the simulations for two scenarios. The concentrations simulated at the AQMS were similar in magnitude to the layer mean concentrations, which indicated good representativeness for the air quality in the target area. We also suggested which locations were suitable for different measurement purposes (hot spots, clean zones, average zones, shelter zones, equi-background zones).

Analysis of PM2.5 Concentration and Contribution Characteristics in South Korea according to Seasonal Weather Patternsin East Asia: Focusing on the Intensive Measurement Periodsin 2015 (동아시아 지역의 계절별 기상패턴에 따른 우리나라 PM2.5 농도 및 기여도 특성 분석: 2015년 집중측정 기간을 중심으로)

  • Nam, Ki-Pyo;Lee, Dae-Gyun;Jang, Lim-Seok
    • Journal of Environmental Impact Assessment
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    • v.28 no.3
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    • pp.183-200
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    • 2019
  • In this study, the characteristics of seasonal $PM_{2.5}$ behavior in South Korea and other Northeast Asian regions were analyzed by using the $PM_{2.5}$ ground measurement data, weather data, WRF and CMAQ models. Analysis of seasonal $PM_{2.5}$ behavior in Northeast Asia showed that $PM_{2.5}$ concentration at 6 IMS sites in South Korea was increased by long-distance transport and atmospheric congestion, or decreased by clean air inflow due to seasonal weather characteristics. As a result of analysis by applying BFM to air quality model, the contribution from foreign countries dominantly influenced the $PM_{2.5}$ concentrations of Baengnyeongdo due to the low self-emission and geographical location. In the case of urban areas with high self-emissions such as Seoul and Ulsan, the $PM_{2.5}$ contribution from overseas was relatively low compared to other regions, but the standard deviation of the season was relatively high. This study is expected to improve the understanding of the air pollutant phenomenon by analyzing the characteristics of $PM_{2.5}$ behavior in Northeast Asia according to the seasonal weather condition change. At the same time, this study can be used to establish the air quality policy in the future, knowing that the contribution of $PM_{2.5}$ concentration to the domestic and overseas can be different depending on the regional emission characteristics.

A Study on the Factors Influencing Air Pollutions in the Islands of Korean Peninsula: Focusing on the Case of Ulleung, Jeju, and Baengnyong Island (한반도 도서 지역 대기질 영향요인에 관한 연구 -울릉도, 제주도, 백령도 등을 중심으로)

  • Hwang, Kyu-Won;Kim, Dong-Yeon;Jin, Se-Jun;Kim, Im-Hyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.814-824
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    • 2020
  • Recently, public interest in air pollutants has increased, and the Korean government and local governments have attempted to improve air quality. This study examined the secondary air pollutant contribution in Ulleung Island, Jeju Island, and Baengnyeong Island and compared the differences between them by analyzing the air pollution level and weather conditions in these regions. The weather conditions of the island regions, such as wind speed, precipitation, and sunshine duration, and the average concentration of air pollutants, such as SO2, NO2, CO, O3, PM10, PM2.5, were examined. The correlation coefficient between air quality factors of each island region and weather conditions was calculated. Regression analysis was conducted by setting primary air pollutants, SO2, NO2, and CO as independent variables, and secondary air pollutants, O3, PM10, and PM2.5 as dependent variables to identify the regional contribution and impact. Therefore, the government and local governments should establish air quality management for each island region.