2019
DOI: 10.1007/s11430-018-9373-1
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Trends in particulate matter and its chemical compositions in China from 2013–2017

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Cited by 137 publications
(82 citation statements)
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“…For NO 3 − , ΔNO 3 − over China was not significant, which is consistent with recent observations 9 . Several areas downwind of China exhibited increased NO 3 − .…”
Section: Discussionsupporting
confidence: 92%
“…For NO 3 − , ΔNO 3 − over China was not significant, which is consistent with recent observations 9 . Several areas downwind of China exhibited increased NO 3 − .…”
Section: Discussionsupporting
confidence: 92%
“…In our special topic, rapid improvement of PM 2.5 pollution was confirmed from observations (Wang et al, 2019;. By combining ground observations, satellite remote sensing data, and simulations obtained from a chemical transport model, Xue et al (2019) found that the national population-weighted annual mean PM 2.5 concentrations over China decreased by 32% from 2013-2017.…”
mentioning
confidence: 58%
“…By combining ground observations, satellite remote sensing data, and simulations obtained from a chemical transport model, Xue et al (2019) found that the national population-weighted annual mean PM 2.5 concentrations over China decreased by 32% from 2013-2017. Based on the observation data in the CARE-China observation network, Wang et al (2019) found that all the chemical composition of PM 2.5 , including sulfate, nitrate, ammonium, elementary carbon (EC), organic matter (OM) and mineral and unresolved components, showed a deceasing trend in China and the key regions. In particular, sulfate and OM concentrations dropped rapidly during the heavily polluted seasons of autumn and winter.…”
mentioning
confidence: 99%
“…CMB coupled with inorganic and organic source tracer method is widely used in various source apportionment studies worldwide, which has led to the significant improvements in air quality in areas such as London and the Central Valley of California [14][15][16]. Beijing is experiencing worse air pollution in winter [17]. Datasets Electronic supplementary material The online version of this article (https ://doi.org/10.1007/s4245 2-020-2787-z) contains supplementary material, which is available to authorized users.…”
Section: Introductionmentioning
confidence: 99%