Abstract
Abstract. Haze pollution events have been a hot topic in recent year due to their serious impacts on human health, environment, and even climate, particularly over East Asia regions. A special pollution process occurred in January 2017 is analyzed in this study based on reanalysis meteorolgoy data and surface PM2.5 observations. Based on mesoscale and local meteorology, along with the surface PM2.5 observations, this study investigates the formation, accumulation, and disperse of a haze events occurred in Baoding, China during the period from January 27 to 29 in 2017. It shows that the fast accumulation of PM2.5 mass concentration at the early stage of haze formation is highly related to the weak southwest winds behind the high pressure system on January 27. On January 28, Baoding lied between the high pressure and low pressure systems, the convergence of winds made aerosols accumulate in this region, causing very heavy pollution with high PM2.5 mass concentrations. Moreover, the vertical profile of temperature measured in Beijing shows that the temperature lapse rate decreased on January 28, making the aerosol particles more difficult to disperse. On January 29, when the high pressure dominates with strong north winds, the haze disappeared.
Highlights
Haze events have become a focus issue in east Asia with the rapid development of economy, causing serious impacts on health, environment, weather and even climate (Zhang et al, 2015; Wang et al, 2016)
Using PM2.5 and winds from ground surface measurements, temperature profiles from radiosonde observations, and mesoscale meteorology from reanalysis data, this study analyze the characteristics of a haze process
This study focuses on the variation of meteorological conditions and analyzes their potential role to PM2.5 mass concentrations
Summary
Haze events have become a focus issue in east Asia with the rapid development of economy, causing serious impacts on health, environment, weather and even climate (Zhang et al, 2015; Wang et al, 2016). Liu et al (2014) studied a heavy haze process occurred in Beijing during the period January 24 and 31 in 2013 using two surface site observations. They analyzed the characteristics of PM2.5, including the chemical composition and temporal variation. In this study, based on averaged surface observation of PM2.5 mass concentrations in Baoding in January 2017, we analyze the characteristics of meso-scale and local meteorology during a heavy haze events. Considering there are certain uncertainties in the measurements of PM2.5 mass concentration, we mainly identify the rough pollution status using the PM2.5 mass concentration in this study Other variables, such as PM10, CO, SO2, NO2, and O3, have been observed but not analyzed here.
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