2019
DOI: 10.1007/s11430-019-9343-3
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The impact of meteorological changes from 2013 to 2017 on PM2.5 mass reduction in key regions in China

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Cited by 173 publications
(103 citation statements)
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References 28 publications
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“…Meteorological conditions, especially transport and dispersion, could significantly influence PM 2.5 concentration (Ding et al, 2013a, b;Zhang et al, 2016). From the air quality management perspectives, it is very important to quantify the influence of emission reduction and year-to-year change in meteorology based on the observed trend of air pollutants.…”
Section: Resultsmentioning
confidence: 99%
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“…Meteorological conditions, especially transport and dispersion, could significantly influence PM 2.5 concentration (Ding et al, 2013a, b;Zhang et al, 2016). From the air quality management perspectives, it is very important to quantify the influence of emission reduction and year-to-year change in meteorology based on the observed trend of air pollutants.…”
Section: Resultsmentioning
confidence: 99%
“…To tackle this great challenge, China has been implementing the "Action Plan for Air Pollution Prevention and Control" (i.e., the so-called national "Ten Measures of air") in several developed critical regions since 2013 (Sheehan et al, 2014;Wang et al, 2017;Liu et al, 2018Liu et al, , 2019Zheng et al, 2018). Measurement data, mainly from the ambient air quality monitoring network, showed some evidence of improved haze pollution in many cities in recent years Lang et al, 2017;Zhang et al, 2019). However, to give a robust and quantitative assessment of the change due to specific emission reduction, high-quality long-term contin-A.…”
Section: Introductionmentioning
confidence: 99%
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“…The chemical composition of PM 2.5 also changed significantly over China, with especially large decreases in levels of organic matter, mineral components, and sulfate aerosols 9 . Studies have suggested that emission control has a dominant effect on PM 2.5 reduction compared to inter-annual meteorological variation [10][11][12] . Further research using bottom-up emission inventory and numerical models revealed that different emission control measures contribute to reductions in PM 2.5 6,13 .…”
mentioning
confidence: 99%
“…The mixing layer referred to the atmospheric layer with sufficient turbulence below the discontinuous-turbulence interface [54][55][56]. The MLH affected the vertical diffusion of pollutants.…”
Section: Iti Itk Lhti and Mlhmentioning
confidence: 99%