Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65352
Title: Modeling analysis of secondary inorganic aerosols over China : pollution characteristics, and meteorological and dust impacts
Authors: Fu, X
Wang, S
Chang, X
Cai, S
Xing, J
Hao, J
Issue Date: 2016
Publisher: Nature Publishing Group
Source: Scientific reports, 2016, v. 6, 35992 How to cite?
Journal: Scientific reports 
Abstract: Secondary inorganic aerosols (SIA) are the predominant components of fine particulate matter (PM2.5) and have significant impacts on air quality, human health, and climate change. In this study, the Community Multiscale Air Quality modeling system (CMAQ) was modified to incorporate SO2 heterogeneous reactions on the surface of dust particles. The revised model was then used to simulate the spatiotemporal characteristics of SIA over China and analyze the impacts of meteorological factors and dust on SIA formation. Including the effects of dust improved model performance for the simulation of SIA concentrations, particularly for sulfate. The simulated annual SIA concentration in China was approximately 10.1 μg/m3 on domain average, with strong seasonal variation: highest in winter and lowest in summer. High SIA concentrations were concentrated in developed regions with high precursor emissions, such as the North China Plain, Yangtze River Delta, Sichuan Basin, and Pearl River Delta. Strong correlations between meteorological factors and SIA pollution levels suggested that heterogeneous reactions under high humidity played an important role on SIA formation, particularly during severe haze pollution periods. Acting as surfaces for heterogeneous reactions, dust particles significantly affected sulfate formation, suggesting the importance of reducing dust emissions for controlling SIA and PM2.5 pollution.
URI: http://hdl.handle.net/10397/65352
EISSN: 2045-2322
DOI: 10.1038/srep35992
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

17
Last Week
0
Last month
Citations as of Dec 8, 2018

WEB OF SCIENCETM
Citations

15
Last Week
1
Last month
Citations as of Dec 15, 2018

Page view(s)

55
Last Week
0
Last month
Citations as of Dec 10, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.