2016
DOI: 10.5194/acp-16-1365-2016
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Climate modulation of the Tibetan Plateau on haze in China

Abstract: Abstract. Rapid increases in pollutant emissions in conjunction with stagnant meteorological conditions result in haze pollution in China. Recent frequent haze in China has attracted worldwide attention. Here we show a relationship between the haze events and Tibetan Plateau (TP)'s environment and climate changes. Based on observational data taken over recent decades, we identify central-eastern China (CEC) as a climatological large-scale "susceptible region" of frequent haze, which is harbored by the TP with … Show more

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Cited by 80 publications
(70 citation statements)
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References 43 publications
(45 reference statements)
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“…The maximum RH of each fog-haze mixed event was larger than 90 %. The results were consistent with the studies of Xu et al (2016) and Q. , in which the observed RH less than 90 % was used to separate haze events from fog events under the visibility < 10 000 m due to the difficulty of measuring RH correctly.…”
Section: Data Processingsupporting
confidence: 80%
See 1 more Smart Citation
“…The maximum RH of each fog-haze mixed event was larger than 90 %. The results were consistent with the studies of Xu et al (2016) and Q. , in which the observed RH less than 90 % was used to separate haze events from fog events under the visibility < 10 000 m due to the difficulty of measuring RH correctly.…”
Section: Data Processingsupporting
confidence: 80%
“…In addition, the interactions between aerosol pollution and climate change have been substantially addressed in recent publications, for example anthropogenic climate change (Cai et al, 2017), reduced Arctic sea ice Zou et al, 2017), the Tibetan Plateau warming (Xu et al, 2016), influences of ENSO events on haze frequency in eastern China , weakened East Asian winter monsoon , decadal weakening of winds and enhanced thermal stability of the lower atmosphere Chen and Wang, 2015). Dustwind interaction (Yang et al, 2017a) and upwind transport (Yang et al, 2017b) could also intensify haze events in China.…”
Section: Introductionmentioning
confidence: 99%
“…The MLYR region faces the most complex anthropogenic emission sources, including a variety of power plants, large petrochemical and steel industries, and farmland distributed along both banks of the Yangtze River, as well as ship emissions. It was well documented that ship emissions displayed a significant impact on regional air quality, particularly in traffic hubs and harbors (Pandis et al, 1999;Becagli et al, 2017;Zhan et al, 2014). The contribution and effect of ship emissions to local air pollution, especially PM, have been briefly analyzed at regional to global levels (Jalkanen et al, 2016;Zhan et al, 2014;Pandis et al, 1999;Fan et al, 2016;Coggon et al, 2012).…”
mentioning
confidence: 99%
“…It was well documented that ship emissions displayed a significant impact on regional air quality, particularly in traffic hubs and harbors (Pandis et al, 1999;Becagli et al, 2017;Zhan et al, 2014). The contribution and effect of ship emissions to local air pollution, especially PM, have been briefly analyzed at regional to global levels (Jalkanen et al, 2016;Zhan et al, 2014;Pandis et al, 1999;Fan et al, 2016;Coggon et al, 2012). The emission factors, and properties of emitted particles and gases from ship plumes at different engine speeds, were also reported Moldanová et al, 2009;Agrawal et al, 2009).…”
mentioning
confidence: 99%
“…1). Under favorable weather conditions (e.g., stagnant weather), terrain-related circulations can be well developed over Beijing and its surroundings, leading to a complex ABL structure, which is thought to substantially affect Beijing's air quality Miao et al, 2017;Ye et al, 2016;Gao et al, 2016;Xu et al, 2016). With high emissions of air pollutants from anthropogenic sources, Beijing is suffering serious air pollution problems and the pollution can be even more severe when southwesterly and southeasterly winds prevail within the ABL (Chen et al, 2008;Ye et al, 2016;Zhang et al, 2014Zhang et al, , 2012.…”
Section: Introductionmentioning
confidence: 99%