Unknown

Dataset Information

0

Modeling analysis of secondary inorganic aerosols over China: pollution characteristics, and meteorological and dust impacts.


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??g/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.

SUBMITTER: Fu X 

PROVIDER: S-EPMC5080613 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Modeling analysis of secondary inorganic aerosols over China: pollution characteristics, and meteorological and dust impacts.

Fu Xiao X   Wang Shuxiao S   Chang Xing X   Cai Siyi S   Xing Jia J   Hao Jiming J  

Scientific reports 20161026


Secondary inorganic aerosols (SIA) are the predominant components of fine particulate matter (PM<sub>2.5</sub>) 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 SO<sub>2</sub> 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 meteorolo  ...[more]

Similar Datasets

| S-EPMC10381952 | biostudies-literature
| S-EPMC5437281 | biostudies-other
| S-EPMC6401186 | biostudies-literature
| S-EPMC8942014 | biostudies-literature
| S-EPMC10975136 | biostudies-literature
| S-EPMC8883017 | biostudies-literature
| S-EPMC9750965 | biostudies-literature
| S-EPMC4670712 | biostudies-literature
| S-EPMC8457327 | biostudies-literature
| S-EPMC5201343 | biostudies-literature