Assessment of potential long-range transport of particulate air pollution using trajectory modeling and monitoring data

Pongkiatkul, Prapat; Oanh, Nguyen Thi Kim

doi:10.1016/j.atmosres.2006.10.003

Cited by 73 publications

(25 citation statements)

References 24 publications

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“…Particulates emitted into the atmosphere may transport thousands of kilometers away from their sources within several days under some meteorological conditions, so the long-range transport of particulates has been a hot topic in atmospheric researches for several decades (Pongkiatkul and Oanh 2007;He et al 2003;Katsoulis 1999). In this study, an anomalous high PM 10 episode observed at Jinshan Environmental Monitoring Station, a coastal site located in the suburb of Shanghai, during 18-19 January, 2007 was analyzed.…”

Section: Introductionmentioning

confidence: 99%

Analysis of a high PM10 episode observed at a coastal site nearby Shanghai, China

Shan

Huo

et al. 2009

Environ Monit Assess

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A high PM(10) episode observed at a coastal site nearby Shanghai during 18-19 January 2007 was analyzed in this study. The maximum hourly averaged PM(10) concentrations for the 2 days were 0.58 and 0.62 mg/m(3), respectively. The meteorological condition during the episode was favorable for air pollution with large-scale stagnation. There was no dispersing effect by high wind, no scavenging function by precipitation, and no diluting process by clean marine air during the episode. The trajectories for 16-19 January all came from the northern region and kept in low levels, and during the episode peak time, from the morning of 18 to the morning of 19 January, trajectories all came from the northern inland areas and had passed over the coastal region of Jiangsu province before arriving at the site. The variation of the air pollution indexes (APIs) in the cities located in the upwind direction of the site during the episode days clearly shows a process of large-scale air pollution from north to south. The liner correlation coefficient for PM(10) and SO(2) concentrations is 0.774 during the episode, while for PM(10) and CO, it even reaches 0.995, which indicated that the high PM(10) was mainly emitted from the coal burning for domestic heating in winter. Therefore, the observed episode was caused by the transport of domestic heating pollutants accumulated in the boundary layer from northern continental areas.

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Section: Introductionmentioning

confidence: 99%

Analysis of a high PM10 episode observed at a coastal site nearby Shanghai, China

Shan

Huo

et al. 2009

Environ Monit Assess

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“…Air masses trajectories computed using the HYSPLIT model (Draxler and Rolph, 2003; https://ready.arl.noaa.gov/ HYSPLIT.php) are commonly used to trace the origin of the air masses transporting mineral dust (Escudero et al, 2011;Meloni et al, 2008) or atmospheric pollutants (Jorba et al, 2004;Pongkiatkul and Kim Oanh, 2007). The statistical analysis of numerous backward trajectories from receptor sites has turned out to be a valuable tool to identify sources of atmospheric trace substances (Stohl, 1998;Scheifinger and Kaiser, 2007).…”

Section: Air Mass Trajectories and Satellite Observationsmentioning

confidence: 99%

Variability of mineral dust deposition in the western Mediterranean basin and south-east of France

et al. 2016

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Abstract. Previous studies have provided some insight into the Saharan dust deposition at a few specific locations from observations over long time periods or intensive field campaigns. However, no assessment of the dust deposition temporal variability in connection with its regional spatial distribution has been achieved so far from network observations over more than 1 year. To investigate dust deposition dynamics at the regional scale, five automatic deposition collectors named CARAGA (Collecteur Automatique de Retombées Atmosphériques insolubles à Grande Autonomie in French) have been deployed in the western Mediterranean region during 1 to 3 years depending on the station. The sites include, from south to north, Lampedusa, Majorca, Corsica, by satellites, more than 80 % of the major dust deposition events are recorded at only one station, suggesting that the dust provenance, transport and deposition processes (i.e. wet vs. dry) of dust are different and specific for the different deposition sites in the Mediterranean studied area. The results tend to indicate that wet deposition is the main form of deposition for mineral dust in the western Mediterranean basin, but the contribution of dry deposition (in the sense that no precipitation was detected at the surface) is far from being negligible, and contributes 10 to 46 % to the major dust deposition events, depending on the sampling site.

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“…Trajectory analysis is also commonly used to analyze pollution episodes (Ji et al, 2012;Ji et al, 2014) and to trace their potential sources using a potential source concentration function (PSCF; Pongkiatkul and Kim, 2007;Zhang et al, 2013a). In China, pathway analysis using long-term particulate matter data has been carried out in Beijing (Wang et al, 2004;Zhu et al, 2011) and Shanghai .…”

Section: Introductionmentioning

confidence: 99%

Characterizations of PM2.5 Pollution Pathways and Sources Analysis in Four Large Cities in China

Liu

et al. 2015

Aerosol Air Qual. Res.

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Particulate matter with an aerodynamic diameter of 2.5 micrometers or less (PM 2.5 ) is a primary pollutant in most cities in China. PM 2.5 poses a significant human health risk, especially in the most densely populated urban areas. We used observations of PM 2.5 and backward air mass trajectories modeled by HYSPLIT-4. We characterize how air movement patterns influence pollution levels in four large cities of China. Then we developed a method to evaluate regional and local sources and contributions of PM 2.5 . For Beijing and Shanghai, PM 2.5 concentrations are sensitive to air moving direction, indicating significant influence of air movement on PM 2.5 pollution. In Beijing, PM 2.5 concentrations were higher when the air masses were from the south and the east. In Shanghai, pollution was greater with northerly air mass flows. Regional contributions of PM 2.5 in Beijing during 2013 were 46, 62, 52, and 39% in spring, summer, autumn and winter, respectively. In Shanghai, regional contributions over four seasons were 36, 39, 45, and 35%. In Guangzhou and Chengdu, PM 2.5 concentrations were more sensitive to speed rather than direction of air mass movements, indicating weaker pollution pathways. In Guangzhou, regional contributions were smaller over the four seasons: 15, 28, 16, and 22% while in Chengdu, they are 21, 52, 28, and 14%. These results are comparable to previous results obtained using complex atmospheric chemical transport models.

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Assessment of potential long-range transport of particulate air pollution using trajectory modeling and monitoring data

Cited by 73 publications

References 24 publications

Analysis of a high PM10 episode observed at a coastal site nearby Shanghai, China

Analysis of a high PM10 episode observed at a coastal site nearby Shanghai, China

Variability of mineral dust deposition in the western Mediterranean basin and south-east of France

Characterizations of PM2.5 Pollution Pathways and Sources Analysis in Four Large Cities in China

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