Investigation of Particulate Matter Regional Transport in Beijing Based on Numerical Simulation

He, Jianjun; Mao, Hongjun; Gong, Sunling; Yu, Ye; Wu, Lin; Liu, Hongli; Chen, Ying; Jing, Boyu; Ren, Pengwei; Zou, Chao

doi:10.4209/aaqr.2016.03.0110

Cited by 17 publications

(8 citation statements)

References 33 publications

(33 reference statements)

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“…Secondly, in the presence of high soil moisture, strong surface evaporation could increase the nearsurface RH, which is conducive to the hygroscopic growth of participles for haze formation (Dawson et al, 2014;. Additionally, high air temperature and strong solar radiation could enhance chemical conversions for the formation of secondary aerosols in the atmosphere (He et al, 2012;Huang et al, 2014). Furthermore, precipitation could impact the emissions of fugitive dust and depositions of air pollutants (Dawson et al, 2007;Cheng et al, 2016).…”

Section: Estimating the Contribution Of Regional Transport Of Pm 25 mentioning

confidence: 99%

Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM<sub>2.5</sub> over China

Zhao

Bai

et al. 2020

Atmos. Chem. Phys.

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Abstract. The regional transport of air pollutants, controlled by emission sources and meteorological factors, results in a complex source–receptor relationship of air pollution change. Wuhan, a metropolis in the Yangtze River middle basin (YRMB) of central China, experienced heavy air pollution characterized by hourly PM2.5 concentrations reaching 471.1 µg m−3 in January 2016. To investigate the regional transport of PM2.5 over central eastern China (CEC) and the meteorological impact on wintertime air pollution in the YRMB area, observed meteorological and other relevant environmental data from January 2016 were analyzed. Our analysis presented noteworthy cases of heavy PM2.5 pollution in the YRMB area with unique “non-stagnant” meteorological conditions of strong northerly winds, no temperature inversion, and additional unstable structures in the atmospheric boundary layer. This unique set of conditions differed from the stagnant meteorological conditions characterized by near-surface weak winds, air temperature inversion, and stable structure in the boundary layer that are typically observed in heavy air pollution over most regions in China. The regional transport of PM2.5 over CEC aggravated PM2.5 levels, thus creating heavy air pollution in the YRMB area. This demonstrates a source–receptor relationship between the originating air pollution regions in CEC and the receiving YRMB region. Furthermore, a backward trajectory simulation using a Flexible Particle dispersion (FLEXPART) Weather Research and Forecasting (WRF) model to integrate the air pollutant emission inventory over China was used to explore the patterns of regional transport of PM2.5 governed by the strong northerly winds in the cold air activity of the East Asian winter monsoon season. It was estimated that the regional transport of PM2.5 from non-local air pollutant emissions contributes more than 65 % of the PM2.5 concentrations to the heavy air pollution in the YRMB region during the study period, revealing the importance of the regional transport of air pollutants over China as a causative factor of heavy air pollution over the YRMB area.

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Section: Estimating the Contribution Of Regional Transport Of Pm 25 mentioning

confidence: 99%

Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM<sub>2.5</sub> over China

Zhao

Bai

et al. 2020

Atmos. Chem. Phys.

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“…In addition, dust particles carried away by winds from arid regions to the sampling location during this season could be the other reason. He et al (2017) have reported relationship between PM and wind through regional transport at Beijing.…”

Section: Meteorological Impact On Pmmentioning

confidence: 99%

Characterisation of particulate matter at a high-altitude site in southwest India: Impact of dust episodes

et al. 2019

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Observations on a particulate matter (PM 10 and PM 2.5) were carried out during March 2015 to February 2017 over a high-altitude location Mahabaleshwar in the Western Ghats region in southwest India. Apart from temporal variation of PM and the ratio of PM 2.5 /PM 10 , impacts of local meteorological parameters on the concentration of PM are examined. PM 10 showed a maximum concentration during pre-monsoon, whereas PM 2.5 showed it in winter. The monsoon season showed the lowest concentrations for both PM 10 and PM 2.5. Concentrations were significantly reduced in 2016 due to the washout effect from enhanced rainfall during that year. Diurnal variations of PM were related to the variation in a planetary boundary layer, mountain valley winds as well as changes in different local sources. Dominance of primary particles was observed from the PM 2.5 /PM 10 ratio. The Central Pollution Control Board (CPCB) threshold limit for PM was exceeded on several days mainly during pre-monsoon due to transported dust from the Arabian Peninsula and Thar Desert apart from an increase in the tourist activity. A typical case for transported dust event during March 2016 is studied. Organics and sulphate particles showed a significant enhancement during dust event. Overall, the study indicated emissions from mixed sources for PM from local as well as distant source regions over Mahabaleshwar.

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“…Although the organic matter (OM) and FS mass concentrations increased, their relative contribution to PM 2.5 decreased slightly by 17% and 2%, respectively. The sharply increase in PM 2.5 from clean to light-medium pollution could be attributable to the regional transport of polluted air mass from the south (Li et al, 2016 b;He et al, 2017;Ma et al, 2017).…”

Section: Trajectory Clusteringmentioning

confidence: 99%

Variations of Chemical Composition and Source Apportionment of PM2.5 during Winter Haze Episodes in Beijing

Tao

et al. 2017

Aerosol Air Qual. Res.

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PM 2.5 samples were collected in Beijing between February 24 and March 12 of 2014, and analyzed to examine chemical compositions and origins of the PM 2.5 at pollution levels of clean (PM 2.5 < 75 µg m -3 ), light-medium (75-150 µg m -3 ), heavy (150-250 µg m -3 ) and severe (> 250 µg m -3 ). The mean PM 2.5 concentration was 137.7 ± 124.8 µg m -3 during the observation period, accounting for 66% of PM 10. As all aerosol species concentrations increased with the pollution level, the contributions of secondary inorganic aerosols (SIA) to PM 2.5 continuously increased while the contributions of OC and EC decreased, indicating a substantial contribution from secondary formation to the elevation of PM 2.5 pollution. The acidity of PM 2.5 , the ratio of anion microequivalent concentration to cation, increased from 0.96 to 1.08 as pollution levels increased. Using a PMF model, secondary inorganic aerosols, industrial emissions, soil dust, traffic emissions, and coal combustion and biomass burning were identified as contributors to the PM 2.5 , and on average accounted 46%, 20%, 10%, 6% and 18% of the PM 2.5 , respectively, in the observation period. Industrial emissions were the dominant PM 2.5 source during the clean period (60%). Except for traffic emission, sources of PM 2.5 at the light-medium level were consistent, accounting for 17%-29%. Secondary inorganic aerosols were the largest origin of PM 2.5 at heavy and severe pollution levels, accounting for 40% and 78%, respectively. In addition, the 48 h transport distances of air masses decreased from 2000 km (clean) to 300 km (severe level) and the proportion of air masses from south pollution areas in the total air masses at each pollution level increased from 0% to 97%, indicating that the stability of near surface air and the northerly transport of pollutants from the south at local and regional scales played a the key role in the PM 2.5 elevation.

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Investigation of Particulate Matter Regional Transport in Beijing Based on Numerical Simulation

Cited by 17 publications

References 33 publications

Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM<sub>2.5</sub> over China

Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM<sub>2.5</sub> over China

Characterisation of particulate matter at a high-altitude site in southwest India: Impact of dust episodes

Variations of Chemical Composition and Source Apportionment of PM2.5 during Winter Haze Episodes in Beijing

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Investigation of Particulate Matter Regional Transport in Beijing Based on Numerical Simulation

Cited by 17 publications

References 33 publications

Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM&lt;sub&gt;2.5&lt;/sub&gt; over China

Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM&lt;sub&gt;2.5&lt;/sub&gt; over China

Characterisation of particulate matter at a high-altitude site in southwest India: Impact of dust episodes

Variations of Chemical Composition and Source Apportionment of PM2.5 during Winter Haze Episodes in Beijing

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Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM<sub>2.5</sub> over China

Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM<sub>2.5</sub> over China