Impact of Pollutant Transport on the Air Quality of Shanghai in 2007

Yan, Peng; Wang, Zifa; Wang, Xiquan; Fu, Qingyan; Wang, Qian

doi:10.2151/sola.2011-022

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…Cheng et al (2014) reported that the open biomass burning in the adjacent provinces had significantly affected the air quality in Shanghai. Yan et al (2011) reported that the mean transport contribution to the PM 10 abundance in Shanghai reached 49% during a haze event, and this was almost the same as the contribution from the local emissions. During the world exposition 2010 with strictly controlling local emissions in Shanghai Huang et al, 2013;Zhang et al, 2013), Zhang et al (2013) revealed that transports of regional pollutants affecting air quality in Shanghai mainly originated from the surrounding areas.…”

Section: Introductionmentioning

confidence: 88%

“…Li et al (2012) reported that under the winter monsoon, the northerly air flows from Hebei, Shandong, Anhui, and Jiangsu provinces carried highconcentration PM 10 to Shanghai. Air pollutants can travel through the short transport paths and significantly affect the air quality of the downwind areas (Yan et al, 2011;Li et al, 2012;Yu et al, 2012a, b;Yu et al, 2014a, b).…”

Section: Backward Trajectory and Cluster Analysismentioning

confidence: 99%

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A Heavy Haze Episode in Shanghai in December of 2013: Characteristics, Origins and Implications

Yan

Fan

et al. 2015

Aerosol Air Qual. Res.

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As the largest Chinese city by population and the largest city proper by population in the world, Shanghai has frequently suffered the heavy haze in recent years. In this study, the observational data (PM 2.5 , PM 10 , O 3 , NO 2 , CO and SO 2 ) at the ten urban monitoring stations in Shanghai from November 25 to December 9, 2013, were used to analyze the haze pollution. The source contributions of PM 2.5 in Shanghai were identified by trajectory clustering and hybrid receptor models (potential source contribution function (PSCF) and concentration weighted trajectory (CWT)). The results showed that for the whole study period, the ranges of pollutant concentrations are 2. . It was found that PM 2.5 contributed more than 80% of PM 10 for the whole period except the relatively clean period in which only 45% of PM 10 is PM 2.5 . The model analyses show that clean air masses reaching at Shanghai were from the far away regions like Mongolia and Inner Mongolia with the high mean wind speed (fast air masses). On the other hand, the heavy haze air masses were mainly from the nearby industrialized and urbanized provinces with industrial cities. It was found that the formation of the extremely heavy haze from December 5 to 7 in Shanghai was mainly because of the air pollution transported from the nearby provinces (i.e., Anhui, Jiangsu, Zhejiang) and central part provinces (such as Shandong, Hebei) of eastern China. The correlation analyses among PM 2.5 and other pollutants show that the PM 2.5 formation in Shanghai is affected by the sources similar to those of CO such as combustion, industry, mobile and oxidation of hydrocarbons. Finally, the controlling strategies are discussed on the basis of this result.

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Section: Introductionmentioning

confidence: 88%

Section: Backward Trajectory and Cluster Analysismentioning

confidence: 99%

A Heavy Haze Episode in Shanghai in December of 2013: Characteristics, Origins and Implications

Yan

Fan

et al. 2015

Aerosol Air Qual. Res.

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“…In recent years the Sahara and western China are recognized as the strongest sources of SDSs globally (Goudie, 2009). SDS also serves as conveyance media of natural minerals and anthropogenic pollutants (Liu et al, 2006;Yan et al, 2011;Kim et al, 2012), potentially inducing climate change (Miller and Tegen, 1998;Zhuang et al, 2001;Qian et al, 2002) and deteriorating ecosystems (Shinn et al, 2000;Garrison et al, 2003;Tan and Shi, 2012). Dust loadings may affect the global environment in many ways by changing, for example, atmospheric radiation balance (Slingo et al, 2006;, cloud formation (Toon, 2003;, convection activity (Stephens et al, 2004;Gong et al, 2010), atmospheric carbon monoxide and sulphur dioxide levels (Adams et al, 2005;Bhattacharjee et al, 2007), biogeochemical cycles (Zhang et al, 2010), and tropical cyclone activity (Evan et al, 2006;Sun et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

On the Detection and Monitoring of the Transport of an Asian Dust Storm Using Multi-Sensor Satellite Remote Sensing

El-Askary¹

2015

J ENV INFORM

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Dynamical and physical features of a long range transported dust event originating in China affecting Korea early March 2008 are examined using an integrative multi-sensor and multi-algorithm approach. Aerosol loadings and their size mode were analyzed over both ocean and land surfaces using the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD), employing standard dark target (DT) and deep blue (DB) algorithms, and the Ångström exponent (AE). Anthropogenic absorbing aerosols and smoke were found to be significant over the Indochina Peninsula, the Philippines and southern China, while a mixture of dust and pollution were predominant over central to northern China, as identified by the AE analysis and the Multi-angle Imaging SpectroRadiometer (MISR) spherecitiy and plume height. Remarkable aerosol absorptions in both the near ultraviolet (UV) and the visible were spread over central, central western and northern China, probably due to aerosol mixtures including desert dust and industrial pollution as well as smoke from biomass burning as evidenced from the Ozone Monitoring Instrument (OMI). Long range transport is validated as dust storm reached up to 4-5 km vertically and a mixed cloud layer was identified over the Yellow Sea as disclosed by the vertical structure of dust aerosols as well as observed aerosols subtypes from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO). The real time detection and monitoring of the dust outbreak and its subsequent evolution are available through the infrared optical depth index (IODI), developed from the MTSAT-1R geostationary satellite imager.

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“…NO x , CO and VOCs), which originate mainly from anthropogenic sources (Chameides et al, 1992;Bowman and Seinfeld, 1994;Finlayson-Pitts and Pitts, 1997;Tang et al, 2010). This is true in cities, especially in megacities (Wang et al, 2000;Molina and Molina, 2004;Shao et al, 2006;Chan and Yao, 2008;Ran et al, 2009;Yan et al, 2011). However, frequent high-O 3 events occur not only in cities but also in rural or remote areas, where local emission of anthropogenic pollutants is not important.…”

Section: Introductionmentioning

confidence: 99%

Impact of the regional transport of urban Beijing pollutants on downwind areas in summer: ozone production efficiency analysis

Ge¹,

Lin

et al. 2012

Tellus B: Chemical and Physical Meteorology

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A B S T R A C T Ambient measurements of SO 2 , O 3 , NO x , NO y and CO were made at Shangdianzi (SDZ), a rural site in the northeast (NE) of Beijing, and urban Beijing (China Meteorological Administration) from 1 June 2008 to 31 August 2008. The pollutants at SDZ showed very different levels under different wind conditions, with the levels under the southwest (SW) wind being much higher than those under the NE wind. The SW wind facilitates the transport of urban plume to SDZ, whereas the NE wind provides a background condition. At SDZ, the Ozone (O 3 ) concentration in air masses from urban Beijing was found to be 33.4 9 0.4 ppbv higher than that from clean regions in summer. The ozone production efficiency (OPE x ) for the urban plume and background condition was 4.0 and 5.3, respectively. Based on these OPE x values and the NO z values for the respective conditions, the contribution of in-situ production in the urban plume to the level of O 3 at SDZ is estimated to be 8.6 ppbv, corresponding only to 25.7% of the total impact of urban plume transport. This suggests that direct transport of O 3 rather than in-situ photochemistry contributes mainly to the summer elevation of the level of O 3 at SDZ.

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Impact of Pollutant Transport on the Air Quality of Shanghai in 2007

Cited by 6 publications

References 12 publications

A Heavy Haze Episode in Shanghai in December of 2013: Characteristics, Origins and Implications

A Heavy Haze Episode in Shanghai in December of 2013: Characteristics, Origins and Implications

On the Detection and Monitoring of the Transport of an Asian Dust Storm Using Multi-Sensor Satellite Remote Sensing

Impact of the regional transport of urban Beijing pollutants on downwind areas in summer: ozone production efficiency analysis

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