Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China

Yang, Wanjun; Guochen, Wang; Bi, Chen

doi:10.4209/aaqr.2016.06.0220

Cited by 42 publications

(16 citation statements)

References 41 publications

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“…Air masses with higher PSCF values originated from coastal cities of northern and eastern China (> 0.7) and Taiwan (> 0.5). Accordingly, PCDD/Fs might have travelled from somewhere in northern China to the coastal regions of northern and southern China to Taiwan, suggesting that these pollutants resulted in transboundary pollution because of air-mass transport (Chen et al, 2015;Yang et al, 2017), causing an increase of PCDD/F concentration on the island. A similar phenomenon was also observed before in Korea (Lee et al, 2007;Ghim et al, 2017).…”

Section: Air Mass Trajectories Of Pcdd/fs In Northern Taiwanmentioning

confidence: 99%

Spatial and Temporal Variation of PM2.5 and Atmospheric PCDD/Fs in Northern Taiwan during Winter Monsoon and Local Pollution Episodes

Hsien¹,

Li²,

Hung³

2017

Aerosol Air Qual. Res.

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Winter monsoonal air masses traveling from Inner Mongolia to downwind nations can transport cold temperature and air pollutants. This study investigated the effects of the long-range transport (LRT) of air pollutants by northeastern monsoons and local pollution (LP) episodes on atmospheric PM 2.5 , polychlorinated dibenzo-p-dioxin (PCDD), and polychlorinated dibenzofuran (PCDF) concentrations in northern Taiwan during the winters of 2014 and 2015. Air samples were collected in rural (Rural Site 1 was mountainous; Rural Site 2 was coastal) and urban (Urban Site 1 was urban; Urban Site 2 was suburban) areas in northern Taiwan as well as at a background site (Lulin Mountain) in central Taiwan. Atmospheric PCDD/F concentrations measured at different sites ranged from 11.0 ± 2.70 to 39.7 ± 22.7 fg international toxicity equivalency quantity (I-TEQ) m -3 in 2014 and 7.99 ± 5.58 to 17.5 ± 12.3 fg I-TEQ m -3 in 2015. During LRT and LP, the proportion of PCDFs was higher than that of PCDDs. Rural Site 1 (122 pg I-TEQ g

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Section: Air Mass Trajectories Of Pcdd/fs In Northern Taiwanmentioning

confidence: 99%

Spatial and Temporal Variation of PM2.5 and Atmospheric PCDD/Fs in Northern Taiwan during Winter Monsoon and Local Pollution Episodes

Hsien¹,

Li²,

Hung³

2017

Aerosol Air Qual. Res.

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“…By analyzing the transport pathways and potential sources of PM 10 pollution in Shanghai, Li et al (2014) reported that there are two potential sources of PM 10 pollution in Shanghai: one is located in the northwest (for example, Hebei and Shandong), while the other is in the southwest (for example, Zhejiang and Jiangxi) [24]. examined the spatiotemporal characteristics and trajectories of a smog process in Beijing in December 2015 and discovered that the PM 2.5 concentration in Beijing was high in the south but low in the north [25]. The major potential pollutant sources are the deserts in the northwest and the built-up areas in the Beijing-Tianjin-Hebei region.…”

Section: Literature Reviewmentioning

confidence: 99%

Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations

Dai

Liu

et al. 2020

Applied Sciences

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As air pollution becomes progressively more serious, accurate identification of urban air pollution characteristics and associated pollutant transport mechanisms helps to effectively control and alleviate air pollution. This paper investigates the pollution characteristics, transport pathways, and potential sources of PM2.5 in Weifang based on PM2.5 monitoring data from 2015 to 2016 using three methods: Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT), the potential source contribution function (PSCF), and concentration weighted trajectory (CWT). The results show the following: (1) Air pollution in Weifang was severe from 2015 to 2016, and the annual average PM2.5 concentration was more than twice the national air quality second-level standard (35 μg/m3). (2) Seasonal transport pathways of PM2.5 vary significantly: in winter, spring and autumn, airflow from the northwest and north directions accounts for a large proportion; in contrast, in summer, warm-humid airflows from the ocean in the southeastern direction dominate with scattered characteristics. (3) The PSCF and CWT results share generally similar characteristics in the seasonal distributions of source areas, which demonstrate the credibility and accuracy of the analysis results. (4) More attention should be paid to short-distance transport from the surrounding areas of Weifang, and a joint pollution prevention and control mechanism is critical for controlling regional pollution.

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“…Stein et al [20] detailed the historical evolution and recent improvements in HYSPLIT. Studies of typical pollution cases using combinations of HYSPLIT and mesoscale models have revealed causes of pollution outbreaks in various regions from multiple perspectives [21][22][23][24][25]. Furthermore, analyses yielding backward trajectory statistics have provided useful information.…”

Section: Introductionmentioning

confidence: 99%

Air Quality in Ningbo and Transport Trajectory Characteristics of Primary Pollutants in Autumn and Winter

Yao

et al. 2019

Atmosphere

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By using meteorology and pollution observation data from Zhejiang province, and data from the National Centers for Environmental Prediction’s Global Data Assimilation System from 1 June 2013, to 31 May 2016, we analyzed air quality characteristics in Ningbo and applied the HYSPLIT model to do backward trajectory clustering statistics for pollution cases of moderate, heavy and severe (henceforth referred to as moderate-and-above) levels. The results indicated that the percentage of moderate-and-above pollution was approximately 6%, which mostly occurred from November to February, with the primary pollutant being particulate matter with a diameter of ≤2.5 μm; Moderate-and-above pollution was mainly caused by pollutants from three types of trajectories (type mx, type 1, and type 2), with type 2 differing significantly from types 1 and mx. Type 2 occurred in stable boundary layers, whereas types mx and 1 occurred in unstable and conditionally unstable layers respectively. These three trajectory types were all related to cold air, but type 2 was weaker than the other two. Analysis of typical cases of various pollution types revealed that a heavy pollution outbreak was due to continuous superposition of pollutants. The input particles most likely originated from the northwest. The upstream situation was the focus of investigation to assist in local pollution forecasting.

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Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China

Cited by 42 publications

References 41 publications

Spatial and Temporal Variation of PM2.5 and Atmospheric PCDD/Fs in Northern Taiwan during Winter Monsoon and Local Pollution Episodes

Spatial and Temporal Variation of PM2.5 and Atmospheric PCDD/Fs in Northern Taiwan during Winter Monsoon and Local Pollution Episodes

Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations

Air Quality in Ningbo and Transport Trajectory Characteristics of Primary Pollutants in Autumn and Winter

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