[Physical and Chemical Characteristics of Atmospheric Particles in Autumn in Mt. Huangshan].

Mt. Huangshan backward trajectory mass spectral characteristics single-particle time-of-flight mass spectrometer size distribution

Journal

Huan jing ke xue= Huanjing kexue
ISSN: 0250-3301
Titre abrégé: Huan Jing Ke Xue
Pays: China
ID NLM: 8405344

Informations de publication

Date de publication:
08 Mar 2020
Historique:
entrez: 2 7 2020
pubmed: 2 7 2020
medline: 2 7 2020
Statut: ppublish

Résumé

To study the physical and chemical characteristics of single-particle aerosols in the background area of east China, a single-particle time-of-flight mass spectrometer (SPAMS) was used to observe the atmospheric particles in Mt. Huangshan from September 5, 2012 to October 28, 2012 and explore the influence of different air masses on the types and proportions of particles in combination with the HYSPLIT backward trajectory model. The results showed that the particles in Mt. Huangshan area can be divided into nine categories:Aged-EC, K, ECOC, OC, NaK, EC, ECHM, HM, and Minerals. Aged-EC accounted for the highest proportion, followed by K, and the aging degree of carbon particles was critical. The carbon particles classified as Aged-EC, ECOC, and OC were concentrated in the accumulation mode (0.2-1.4 μm), whereas HM, NaK, and Minerals were concentrated in the coarse particle mode (>1.4 μm). Apart from K, ECHM, and ECOC, higher wind speed was unfavorable to the accumulation of particles. The higher RH was, the higher the proportion of carbon particles was, while the proportions of K, OC, Minerals, and NaK were smaller. Cluster analysis results showed that the Mt. Huangshan area was mainly affected by northwest air mass, marine air mass, and local air mass. Industrial emissions and coal-burning activities in the surrounding areas were the primary contribution sources of Aged-EC.

Identifiants

pubmed: 32608605
doi: 10.13227/j.hjkx.201906185
doi:

Types de publication

English Abstract Journal Article

Langues

chi

Sous-ensembles de citation

IM

Pagination

1056-1066

Auteurs

Yi-Shu Bian (YS)

Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Yan Yin (Y)

Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Hong-Lei Wang (HL)

Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Kui Chen (K)

Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Classifications MeSH