Spatio-temporal variations of PM_2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing.

ABSTRACT: To effectively improve air quality during pollution episodes, Beijing released two red alerts in 2015. Here we examined spatio-temporal variations of PM_2.5 concentrations during two alerts based on multiple data sources. Results suggested that PM_2.5 concentrations varied significantly across Beijing. PM_2.5 concentrations in southern parts of Beijing were higher than those in northern areas during both alerts. In addition to unfavorable meteorological conditions, coal combustion, especially incomplete coal combustion contributed significantly to the high PM_2.5 concentrations. Through the CAMx model, we evaluated the effects of emission-reduction measures on PM_2.5 concentrations. Through simulation, emergency measures cut down 10% - 30%

SUBMITTER: Cheng N 

PROVIDER: S-EPMC5557902 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature