Carbonaceous Aerosols

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Aerosols".

Deadline for manuscript submissions: closed (27 July 2023) | Viewed by 2875

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School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
Interests: atmospheric physics and atmospheric environment; atmospheric remote sensing and atmospheric sounding
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Dear Colleagues,

Carbonaceous aerosols include black carbon (BC) and organic carbon, and the absorbing organic carbon, named brown carbon (BrC), absorb radiation in the ultraviolet and visible spectra. BC, emitted from incomplete combustion of fossil fuel, biofuel, and biomass, is one of the strongest absorptive aerosols for solar radiation, representing one of the frontal research fields in current atmospheric studies. Once emitted into the atmosphere, BC particles quickly become inhomogeneous during the aging processes. BC and its mixtures influence local and global climate directly by strongly absorbing solar radiation. Due to the complex geometry and mixing structure, our understanding of optical properties of carbonaceous aerosols is still limited, which makes carbonaceous aerosols one of the largest uncertainties in estimating aerosol radiative forcing.

This Special Issue focuses on the measurements and modeling physicochemical and radiative properties of carbonaceous aerosols, including chemical composition, size distribution, mixing state, and optical properties, spatial and temporal distributions, and source apportionment. Moreover, novel methods and techniques for remote sensing of properties of carbonaceous aerosols and other topics related to climate effects of carbonaceous aerosols are also welcome.

Prof. Dr. Xiaolin Zhang
Guest Editor

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Keywords

  • carbonaceous aerosols
  • radiative properties
  • climate effects
  • modeling
  • remote sensing
  • source region

Published Papers (2 papers)

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Research

13 pages, 4503 KiB  
Article
High Wet Deposition of Black Carbon over the Sichuan Basin of China
by Yu Zhou, Xiaolin Zhang and Yuanzhi Wang
Atmosphere 2023, 14(3), 598; https://doi.org/10.3390/atmos14030598 - 21 Mar 2023
Viewed by 1192
Abstract
The wet deposition flux of black carbon (BC) over the Sichuan Basin is studied on the basis of the MERRA-2 data from 1981 to 2020, aiming at investigating high BC wet deposition flux in China in terms of long-term spatial-temporal trends and influences [...] Read more.
The wet deposition flux of black carbon (BC) over the Sichuan Basin is studied on the basis of the MERRA-2 data from 1981 to 2020, aiming at investigating high BC wet deposition flux in China in terms of long-term spatial-temporal trends and influences of BC column mass density and precipitation. In China, the largest BC wet deposition flux with a regionally-averaged value of 1.00 × 10−2 μg m−2 s−1 over the Sichuan Basin is observed, especially in the western and southern regions of the Basin with values as high as 2.20 × 10−2 μg m−2 s−1. The seasonality of BC wet deposition flux over the Sichuan Basin depicts maximum levels in autumn, moderate levels in spring and winter, and minimum levels in summer. The monthly mean BC wet deposition flux varies almost twofold, ranging from the lowest average value of 8.05 × 10−3 μg m−2 s−1 in July to the highest 1.28 × 10−2 μg m−2 s−1 in October. This study suggests that BC column mass density and precipitation are two significant factors affecting high BC wet deposition flux, whereas BC wet deposition flux is more related to BC column mass density than to precipitation over the Sichuan Basin. Full article
(This article belongs to the Special Issue Carbonaceous Aerosols)
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16 pages, 6892 KiB  
Article
Analysis of BC Pollution Characteristics under PM2.5 and O3 Pollution Conditions in Nanjing from 2015 to 2020
by Yuxuan Pei, Honglei Wang, Yue Tan, Bin Zhu, Tianliang Zhao, Wen Lu and Shuangshuang Shi
Atmosphere 2022, 13(9), 1440; https://doi.org/10.3390/atmos13091440 - 06 Sep 2022
Cited by 3 | Viewed by 1224
Abstract
Using an AE-33 Aethalometer, surface air pollution monitoring data, radiosonde data, and conventional meteorological observation data, the characteristics and influencing factors of black carbon (BC) pollution under PM2.5 and O3 pollution in Nanjing were comprehensively analyzed. The results show that the [...] Read more.
Using an AE-33 Aethalometer, surface air pollution monitoring data, radiosonde data, and conventional meteorological observation data, the characteristics and influencing factors of black carbon (BC) pollution under PM2.5 and O3 pollution in Nanjing were comprehensively analyzed. The results show that the air quality saw an apparent trend of improvement from 2015 to 2020, and the number of days with excellent air quality increased by 38.2% from 2015 to 2020. The number of days when the dominant pollutant was PM2.5 decreased each year to only 18 days in 2020, with an annual rate of decline of 16.0% from 2015 to 2020. The number of days when the dominant pollutant was O3 increased, reaching a maximum for the 6-year period of 78 days in 2019, with an annual rate of increase of 11.1% in 2015–2019. The average mass concentration of BC when the dominant pollutant was PM2.5 in slight, moderate, and heavy pollution decreased in 2015–2016 and then showed an increasing yearly trend in 2016–2018, with annual rates of increase of 73.8%, 105.5%, and 156.3%, respectively, reaching a maximum in 2018 and then starting to decrease thereafter. With PM2.5, the slight pollution and moderate pollution BC mass concentrations were mainly influenced by the height of the inversion layer. The average BC mass concentrations in the case of slight and moderate pollution with O3 as the dominant pollutant decreased significantly from 2015 to 2016, and then increased yearly from 2016 to 2019, with annual rates of increase of 112.2% and 138.6%, respectively, reaching a maximum in 2019 and then decreasing from 2020. The BC mass concentration was significantly negatively correlated with wind speed in both light and moderate O3 pollution, with correlation coefficients of −0.79 and −0.68, respectively. The seasonal variation and dominant influencing factors of BC differed when PM2.5 and O3 were the dominant pollutants. When PM2.5 was the dominant pollutant, the seasonal variation in the BC for slight pollution was winter > autumn > summer > spring, and for moderate pollution and heavy pollution was autumn > winter > spring, which were mainly affected by the inversion stratification difference and wind speed. When O3 was the dominant pollutant, the seasonal variation in BC under slight pollution was autumn > summer > spring, and for moderate pollution, it was spring > summer > autumn, which were mainly affected by the wind speed. Studying the evolution of BC in air pollution under different dominant pollutants is important to further improve the capability and level of global climate change research and predictions and can provide a scientific basis for assessing their impact on the environment, health, and climate. Full article
(This article belongs to the Special Issue Carbonaceous Aerosols)
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