Fugitive Dust Emission Characteristics from Building Construction Sites of Beijing

2017 
Particulate matter (PM) is the primary air pollutant in Beijing, and its emission control is an important direction of air pollution prevention and control. Construction dust plays a significant role in the source of airborne particulate matter in Beijing. Due to population growth and economic development, the demand for residential and office space has been increasing which results in a high construction area in Beijing and dust pollution caused by construction activities. However, there are few studies focusing on fugitive dust emissions from construction sites and their contribution to air pollution in Beijing. Under this background, this paper established an estimation model of dust emission from construction sites, and used the localized emission factor to calculate the dust emission from 2000 to 2015 in Beijing, identified the emission characteristics and laws of construction dust emission and quantified the uncertainty range of the emissions. The WRF/CMAQ model system was used to simulate the contribution of dust pollution to quantify its influence on air quality. The results showed that the dust emission from construction sites in Beijing has been increasing, but the construction area is falling in recent years. However, the emission of PM is still high and needs to be paid enough attention. In the spatial distribution, the dust emissions in summer and autumn are larger than those in other seasons. As for spatial distribution, the construction dust is mainly concentrated in the urban function extension area and suburban area, which is related to the extension of population activities and the gradual development of urbanization. The contribution of construction dust to PM10 and PM2.5 concentration in the ambient air can reach 31.3 μg·m-3 and 9.6 μg·m-3, respectively. Through scenarios analysis, for further reduction of the emission from construction sites in 2030, more stricter standard for green construction and powerful supervision are needed.
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