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      Char dominates black carbon aerosol emission and its historic reduction in China

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          Abstract

          Emission factors and inventories of black carbon (BC) aerosols are crucial for estimating their adverse atmospheric effect. However, it is imperative to separate BC emissions into char and soot subgroups due to their significantly different physicochemical properties and potential effects. Here, we present a substantial dataset of char and soot emission factors derived from field and laboratory measurements. Based on the latest results of the char-to-soot ratio, we further reconstructed the emission inventories of char and soot for the years 1960–2017 in China. Our findings indicate that char dominates annual BC emissions and its huge historical reduction, which can be attributable to the rapid changes in energy structure, combustion technology and emission standards in recent decades. Our results suggest that further BC emission reductions in both China and the world should focus on char, which mainly derives from lower-temperature combustion and is easier to decrease compared to soot.

          Abstract

          Black carbon (BC) is distinguished into two parts (char vs soot) in emission sources and inventories, char is revealed as the core component of China’s historical emissions and the optimal target for future BC reductions.

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          Bounding the role of black carbon in the climate system: A scientific assessment

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            Drivers of improved PM 2.5 air quality in China from 2013 to 2017

            Significance The high frequency of haze pollution in China has attracted broad attention and triggered, in 2013, the promulgation of the toughest-ever clean air policy in the country. In this study, we quantified the air quality and health benefits from specific clean air actions by combining a chemical transport model with a detailed emission inventory. As tremendous efforts and resources are needed for mitigating emissions from various sources, evaluation of the effectiveness of these measures can provide crucial information for developing air quality policies in China as well as in other developing and highly polluting countries. Based on measure-specific analysis, our results bear out several important implications for designing future clean air policies.
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              Ambient air pollution and low birthweight: a European cohort study (ESCAPE).

              Ambient air pollution has been associated with restricted fetal growth, which is linked with adverse respiratory health in childhood. We assessed the effect of maternal exposure to low concentrations of ambient air pollution on birthweight. We pooled data from 14 population-based mother-child cohort studies in 12 European countries. Overall, the study population included 74 178 women who had singleton deliveries between Feb 11, 1994, and June 2, 2011, and for whom information about infant birthweight, gestational age, and sex was available. The primary outcome of interest was low birthweight at term (weight <2500 g at birth after 37 weeks of gestation). Mean concentrations of particulate matter with an aerodynamic diameter of less than 2·5 μm (PM2·5), less than 10 μm (PM10), and between 2·5 μm and 10 μm during pregnancy were estimated at maternal home addresses with temporally adjusted land-use regression models, as was PM2·5 absorbance and concentrations of nitrogen dioxide (NO2) and nitrogen oxides. We also investigated traffic density on the nearest road and total traffic load. We calculated pooled effect estimates with random-effects models. A 5 μg/m(3) increase in concentration of PM2·5 during pregnancy was associated with an increased risk of low birthweight at term (adjusted odds ratio [OR] 1·18, 95% CI 1·06-1·33). An increased risk was also recorded for pregnancy concentrations lower than the present European Union annual PM2·5 limit of 25 μg/m(3) (OR for 5 μg/m(3) increase in participants exposed to concentrations of less than 20 μg/m(3) 1·41, 95% CI 1·20-1·65). PM10 (OR for 10 μg/m(3) increase 1·16, 95% CI 1·00-1·35), NO2 (OR for 10 μg/m(3) increase 1·09, 1·00-1·19), and traffic density on nearest street (OR for increase of 5000 vehicles per day 1·06, 1·01-1·11) were also associated with increased risk of low birthweight at term. The population attributable risk estimated for a reduction in PM2·5 concentration to 10 μg/m(3) during pregnancy corresponded to a decrease of 22% (95% CI 8-33%) in cases of low birthweight at term. Exposure to ambient air pollutants and traffic during pregnancy is associated with restricted fetal growth. A substantial proportion of cases of low birthweight at term could be prevented in Europe if urban air pollution was reduced. The European Union. Copyright © 2013 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                yjchenfd@fudan.edu.cn
                zhanggan@gig.ac.cn
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                13 October 2023
                13 October 2023
                2023
                : 14
                : 6444
                Affiliations
                [1 ]Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, ( https://ror.org/013q1eq08) Shanghai, 200438 China
                [2 ]GRID grid.24516.34, ISNI 0000000123704535, Shanghai Institute of Pollution Control and Ecological Security, ; Shanghai, 200092 China
                [3 ]Guangdong Provincial Observation and Research Station for Coastal Atmosphere and Climate of the Greater Bay Area, School of Environmental Science and Engineering, Southern University of Science and Technology, ( https://ror.org/049tv2d57) Shenzhen, 518055 China
                [4 ]GRID grid.9227.e, ISNI 0000000119573309, State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, , Chinese Academy of Sciences, ; Guangzhou, 510640 China
                [5 ]GRID grid.9227.e, ISNI 0000000119573309, Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control, Guangzhou Institute of Geochemistry, , Chinese Academy of Science, ; Guangzhou, 510640 China
                [6 ]Yale–NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, ( https://ror.org/02y0rxk19) Nanjing, 210044 China
                [7 ]Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science and Technology, ( https://ror.org/02y0rxk19) Nanjing, 210044 China
                Author information
                http://orcid.org/0009-0008-7445-7480
                http://orcid.org/0000-0003-4146-2765
                http://orcid.org/0000-0002-4784-8282
                http://orcid.org/0000-0001-9138-4465
                http://orcid.org/0000-0003-1335-8477
                http://orcid.org/0000-0002-4467-4483
                http://orcid.org/0000-0002-3637-1642
                http://orcid.org/0000-0002-8722-8635
                http://orcid.org/0000-0003-1962-0165
                http://orcid.org/0000-0001-5859-3070
                http://orcid.org/0000-0002-9010-8140
                Article
                42192
                10.1038/s41467-023-42192-8
                10575950
                37833278
                e7829bf3-ec4e-4f77-a0ba-23d2db1449fb
                © Springer Nature Limited 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 July 2023
                : 2 October 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: 42192514
                Award ID: 91744203
                Award ID: 42177086
                Award ID: 42030715
                Award Recipient :
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                © Springer Nature Limited 2023

                Uncategorized
                environmental sciences,environmental impact,environmental chemistry
                Uncategorized
                environmental sciences, environmental impact, environmental chemistry

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