• 제목/요약/키워드: Air quality monitoring station (AQMS)

검색결과 4건 처리시간 0.018초

이동측정차량을 활용한 부천시 대기오염의 공간 분포 특성 연구 (A study on spatial distribution characteristics of air pollutants in Bucheon-si using mobile laboratory)

  • 김종범;김창혁;노수진;황은영;박덕신;이정주;김정호
    • 한국입자에어로졸학회지
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    • 제17권1호
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    • pp.9-20
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    • 2021
  • As a large city advanced, the urban environment is becoming an issue. The contribution of vehicle emissions in air pollutants was very high according to the clean air policy support system (CAPSS). In order to improve the air quality in large cities, it is necessary to establish improvement measures by sources, analyzing the air quality of roadside. We divided Bucheon city into 4 regions to investigate the roadside pollutants of each district using the mobile laboratory (ML) and air quality monitoring station (AQMS). ML was used to measure pollutants emitted from vehicles and AQMS data was used as a comparison group of ML data. As a measurement result of pollutants in the roadside, the concentration of air pollutants in industrial & engineering complex area was the highest and concentration of air pollutants in residential & forest complex area was lower. By street, Bucheon-ro, Sinheung-ro, Sosa-ro, and Gyeongin-ro were identified as high concentrations. Therefore, further researches on preparing management measures for roads in the hot-spot area are needed.

여름철 도심 공원의 O3과 NO2 농도의 일변화: 기온과 풍속의 영향 (Diurnal Variations of O3 and NO2 Concentrations in an Urban Park in Summer: Effects of Air Temperature and Wind Speed)

  • 한범순;곽경환;백종진
    • 한국대기환경학회지
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    • 제32권5호
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    • pp.536-546
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    • 2016
  • The diurnal variations of $O_3$ and $NO_2$ in an urban park and the effects of air temperature and wind speed on the diurnal variations are investigated. $O_3$ and $NO_2$ concentrations were observed at a site in an urban park of Seoul from 27 July 2015 to 9 August 2015. The $O_3$ and $NO_2$ concentrations observed in the urban park are compared to those observed at the Gangnam air quality monitoring station (AQMS). The $O_3$ concentration is higher in the urban park than at the Gangnam AQMS in the daytime because the amount of $O_3$ dissociated by NO is smaller as well as partly because the amount of $O_3$ produced in the oxidation process of biogenic volatile organic compounds (VOCs) is larger in the urban park than at the Gangnam AQMS. The $NO_2$ concentration is lower in the urban park than at the Gangnam AQMS during day and night because the observation site in the urban park is relatively far from roads where $NO_x$ is freshly emitted from vehicles. The difference in $NO_2$ concentration is larger in the daytime than in the nighttime. To examine the effects of air temperature and wind speed on the diurnal variations of $O_3$ and $NO_2$, the observed $O_3$ and $NO_2$ concentrations are classified into high or low air temperature and high or low wind speed days. The high $O_3$ and $NO_2$ concentrations in the daytime appear for the high air temperature and low wind speed days. This is because the daytime photochemical processes are favorable when the air temperature is high and the wind speed is low. The scatter plots of the daytime maximum $O_3$ and minimum $NO_2$ concentrations versus the daytime averages of air temperature and wind speed show that the daytime maximum $O_3$ and minimum $NO_2$ concentrations tend to increase as the air temperature increases or the wind speed decreases. The daytime maximum $O_3$ concentration is more sensitive to the changes in air temperature and wind speed in the urban park than at the Gangnam AQMS.

WRF-Chem 모델과 결합된 CFD 모델을 활용한 도시 지역의 일산화탄소 확산 연구 (Carbon Monoxide Dispersion in an Urban Area Simulated by a CFD Model Coupled to the WRF-Chem Model)

  • 권아름;박수진;강건;김재진
    • 대한원격탐사학회지
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    • 제36권5_1호
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    • pp.679-692
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    • 2020
  • 본 연구에서는 CFD 모델을 WRF-Chem 모델과 결합(WRF-CFD 모델)하였고, 서울 영등포구에 소재한 건물 밀집 지역에서 흐름과 일산화탄소(carbon monoxide, CO) 분포 특성을 조사하였다. 이를 위하여, 자동기상관측소에서 측정한 풍속, 풍향과 도시대기측정소에서 측정한 CO 농도를 이용하여 수치 모의 결과를 검증하였다. AWS 510 지점에서는 남풍과 남서풍 계열 바람이 측정되었고, 야간 시간 보다는 주간 시간에 높은 풍속이 측정되었다. WRF-Chem 모델은 주로 동남동풍에서 서남서풍 계열의 바람을 수치 모의하였고, 측정 풍속을 과대 모의하였다. WRF-CFD 모델이 수치 모의한 풍향은 WRF-Chem 모델 풍향에 대한 의존도가 높았고, 측정 풍속을 상대적으로 잘 수치 모의하였다. 통계적 검증 지수에 대한 목표 값과 추천 범위를 고려하였을 때, WRF-CFD 모델이 WRF-Chem 모델에 비해 측정 풍속을 통계적으로 더 현실적으로 수치 모의하였다. WRF-Chem 모델은 측정 CO 농도를 크게 과소 모의하였고, WRF-CFD 모델은 CO 농도 예측을 개선하였다. 통계적 검증 결과를 종합한 결과, WRF-CFD 모델은 도시 지역에 복잡하게 분포한 건물과 이동 오염원을 고려함으로써 CO 농도 예측 성능을 개선하였다. 5월 22일 04시에는 AQMS가 위치한 지역에는 하강류가 존재하고, 상층으로부터 비교적 낮은 농도의 CO가 유입되면서 주변 지역에 비해 낮은 농도가 수치 모의되었다. 5월 22일 15시에는 AQMS 측정 지점에 약한 상승류가 형성되었고, 이에 따라 주변보다 다소 높은 CO 농도가 나타났다. WRF-CFD 모델은 상승류에 의해 도로의 이동 오염원으로부터 배출된 CO를 AQMS 측정 고도까지 수송하여, 결과적으로, 측정 CO 농도를 잘 재현한 것으로 판단된다. 5월 22일 18시 사례는 CO 배출량 증가, 상승류 발생 지역 증가, 풍속 증가로 인한 지면 근처의 난류운동에너지 생성 증가에 따른 난류 확산 증가 등으로 인해 전체적으로 높은 CO 농도가 수치 모의되었다. AQMS 지점에서는 하강류가 수치 모의되었지만, 풍상측에 형성된 고농도의 CO 밴드로 인해 WRF-CFD 모델은 측정 CO 농도를 과대 모의하였다.

지리정보시스템(GIS) 및 존재인구를 이용한 초미세먼지(PM2.5) 노출평가 (Existing Population Exposure Assessment Using PM2.5 Concentration and the Geographic Information System)

  • 우재민;민기홍;김동준;조만수;성경화;원정일;이채관;신지훈;양원호
    • 한국환경보건학회지
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    • 제48권6호
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    • pp.298-305
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    • 2022
  • Background: The concentration of air pollutants as measured by the Air Quality Monitoring System (AQMS) is not an accurate population exposure level since actual human activities and temporal and spatial variability need to be considered. Therefore, to increase the accuracy of exposure assessment, the population should be considered. However, it is difficult to obtain population data due to limitations such as personal information. Objectives: The existing population defined in this study is the number of people in each region's grid. The purpose is to provide a methodology for evaluating exposure to PM2.5 through existing population data provided by the National Geographic Information Institute. Methods: The selected study period was from October 26 to October 28, 2021. Using PM2.5 concentration data measured at the Sensor-based Air Monitoring Station (SAMS) installed in Guro-gu and Wonju-si, the concentration for each grid was estimated by applying inverse distance weights through QGIS version 3.22. Considering the existing population, population-weighted average concentration (PWAC) was calculated and the exposure level of the population was compared by region. Results: The outdoor PM2.5 concentration as measured through the SAMS was high in Wonju-si on all three days. Wonju-si showed an average 22% higher PWAC than Guro-gu. As a result of comparing the PWAC and outdoor PM2.5 concentration by region, the PWAC in Guro-gu was 1~2% higher than the observed value, but it was almost the same. Conversely, observations of Wonju-si were 10.1%, 11.3%, and 8.2% higher than PWAC. Conclusions: It is expected that the Geographic Information System (GIS) method and the existing population will be used to evaluate the exposure level of a population with a narrow activity radius in further research. In addition, based on this study, it is judged that research on exposure to environmental pollutants and risk assessment methods should be expanded.