Preprints
https://doi.org/10.5194/egusphere-2023-2615
https://doi.org/10.5194/egusphere-2023-2615
07 Dec 2023
 | 07 Dec 2023

Impact of Meteorology and Aerosol Sources on PM2.5 and Oxidative Potential Variability and Levels in China

Jiemei Liu, Jesper Heile Christensen, Zhuyun Ye, Shikui Dong, Camilla Geels, Jørgen Brandt, Athanasios Nenes, Yuan Yuan, and Ulas Im

Abstract. China has long-term high PM2.5 levels, and its Oxidative Potential (OP) is worth studying as it may unravel the impacts of aerosol pollution on public health better than PM2.5 alone. OP and PM2.5 are influenced by meteorological factors, anthropogenic emissions sources and atmospheric aging. Although their impact on PM2.5 have been studied, OP measurements only recently became available and on a limited scale, as they require considerable technical expertise and resources. For this, the joint relationship between PM2.5 and OP for a wide range of meteorological conditions and emissions profiles remain elusive. Towards this, we estimated PM2.5 and OP over China using the Danish Eulerian Hemispheric Model (DEHM) system with meteorological input from WRF weather forecast model. It was found that higher values of PM2.5 and OP were primarily concentrated in urban agglomerations in the central and eastern regions of China, while lower values were found in the western and northeastern regions. Furthermore, the probability density function revealed that about 40 % of areas in China had an annual average PM2.5 concentrations exceeding the Chinese concentrations limit; 36 % of the regions have OP below 1 𝑛𝑚𝑜𝑙 𝑚𝑖𝑛−1 𝑚−3, 41 % have OP between 1 and 2 𝑛𝑚𝑜𝑙 𝑚𝑖𝑛−1 𝑚−3, and 23 % have OP above 2 𝑛𝑚𝑜𝑙 𝑚𝑖𝑛−1 𝑚−3. Analysis of the simulations indicate that meteorological conditions and anthropogenic emission contributed 46 % (65 %) and 54 % (35 %) to the PM2.5 concentration (OP) variability. The emission sensitivity analysis also highlighted PM2.5 and OP levels are mostly determined by secondary aerosol formation and biomass burning.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Jiemei Liu, Jesper Heile Christensen, Zhuyun Ye, Shikui Dong, Camilla Geels, Jørgen Brandt, Athanasios Nenes, Yuan Yuan, and Ulas Im

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2615', Anonymous Referee #1, 06 Feb 2024
  • RC2: 'Comment on egusphere-2023-2615', Anonymous Referee #2, 09 Feb 2024
    • AC1: 'Reply on RC2', Yuan Yuan, 28 Mar 2024
    • AC2: 'Reply on RC2', Yuan Yuan, 28 Mar 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2615', Anonymous Referee #1, 06 Feb 2024
  • RC2: 'Comment on egusphere-2023-2615', Anonymous Referee #2, 09 Feb 2024
    • AC1: 'Reply on RC2', Yuan Yuan, 28 Mar 2024
    • AC2: 'Reply on RC2', Yuan Yuan, 28 Mar 2024
Jiemei Liu, Jesper Heile Christensen, Zhuyun Ye, Shikui Dong, Camilla Geels, Jørgen Brandt, Athanasios Nenes, Yuan Yuan, and Ulas Im
Jiemei Liu, Jesper Heile Christensen, Zhuyun Ye, Shikui Dong, Camilla Geels, Jørgen Brandt, Athanasios Nenes, Yuan Yuan, and Ulas Im

Viewed

Total article views: 520 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
393 91 36 520 44 21 20
  • HTML: 393
  • PDF: 91
  • XML: 36
  • Total: 520
  • Supplement: 44
  • BibTeX: 21
  • EndNote: 20
Views and downloads (calculated since 07 Dec 2023)
Cumulative views and downloads (calculated since 07 Dec 2023)

Viewed (geographical distribution)

Total article views: 511 (including HTML, PDF, and XML) Thereof 511 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Jul 2024
Download
Short summary
In this study, China was chosen as an example to conduct a quantitative analysis using the Danish Eulerian Hemispheric Model (DEHM) system with meteorological input from WRF weather forecast model. It found that meteorological conditions and emission inventories contributed 46 % (65 %) and 54 % (35 %) to the variations in PM2.5 concentrations (OP), respectively, highlighting secondary aerosol formation and biomass burning as the primary contributors to PM2.5 and OP levels.