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Characteristics of single atmospheric particles in a heavily polluted urban area of China: size distributions and mixing states

  • Li Li
  • , Qiyuan Wang
  • , Xu Zhang
  • , Yuanyuan She
  • , Jiamao Zhou
  • , Yang Chen
  • , Ping Wang
  • , Suixin Liu
  • , Ting Zhang
  • , Wenting Dai
  • , Yongming Han
  • , Junji Cao
  • CAS - Institute of Earth Environment
  • Chinese Academy of Sciences
  • Xi’an Environmental Monitor Station
  • Thermal Power Research Institute
  • CAS - Chongqing Institute of Green and Intelligent Technology
  • Hainan Tropical Ocean University

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

To investigate the chemical composition, size distribution, and mixing state of aerosol particles on heavy pollution days, single-particle aerosol mass spectrometry was conducted during 9–26 October 2015 in Xi’an, China. The measured particles were classified into six major categories: biomass burning (BB) particles, K-secondary particles, elemental carbon (EC)–related particles, metal-containing particles, dust, and organic carbon (OC) particles. BB and EC-related particles were the dominant types during the study period and mainly originated from biomass burning, vehicle emissions, and coal combustion. According to the ambient air quality index, two typical episodes were defined: clean days (CDs) and polluted days (PDs). Accumulation of BB particles and EC-related particles was the main reason for the pollution in Xi’an. Most types of particle size were larger on PDs than CDs. Each particle type was mixed with secondary species to different degrees on CDs and PDs, indicating that atmospheric aging occurred. The mixing state results demonstrated that the primary tracers were oxidized or vanished and that the amount of secondary species was increased on PDs. This study provides valuable information and a dataset to help control air pollution in the urban areas of Xi’an. [Figure not available: see fulltext.].

Original languageEnglish
Pages (from-to)11730-11742
Number of pages13
JournalEnvironmental Science and Pollution Research
Volume26
Issue number12
DOIs
StatePublished - 1 Apr 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Biomass burning
  • Chemical composition
  • Mixing state
  • SPAMS
  • Single particle
  • Size distribution

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