Estimating the effects of meteorology on PM<sub>2.5</sub> reduction during the 2008 Summer Olympic Games in Beijing, China

doi:10.1007/s11783-011-0307-5

Front Envir Sci Eng Chin

2011, Vol. 5

Issue (3) : 331-341 https://doi.org/10.1007/s11783-011-0307-5

RESEARCH ARTICLE

Estimating the effects of meteorology on PM_2.5 reduction during the 2008 Summer Olympic Games in Beijing, China

Liu YANG¹, Ye WU¹, Jerry M. DAVIS², Jiming HAO¹(

)

1. School of Environment, Tsinghua University, Beijing 100084, China; 2. Office of Air Quality Planning and Standards, Health and Environmental Impacts Division, US Environmental Protection Agency, Raleigh, NC 27513, USA

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Abstract

Particulate pollution was a critical challenge to the promise of good air quality during the 2008 Beijing Olympic Games, which took place from August 8th to 24th. To ensure good air quality for the Games, several temporary emission control measures were implemented in Beijing and surrounding areas. Ambient particulate matter concentration decreased significantly during the Olympic period; however, it is difficult to distinguish the effectiveness of those control measures since meteorology also affects ambient PM_2.5 concentration. In this work, a multiple linear regression model based on continuous field monitoring at a roadside site was conducted to evaluate the effects of meteorology and emission control measures on the reduction of PM_2.5 during the 2008 Olympic Games. The hourly data set was divided into two time periods, the no control period, June 22nd to July 4th, and the control period, July 28th to August 21st. The response variable was PM_2.5 and the meteorology covariates used in the model were hourly temperature, dew point temperature, wind speed and precipitation. Wind direction was not a significant predictor of PM_2.5 levels in either the control or the no control period. Using the meteorologically-based regression coefficients from the two time periods, meteorology was found to contribute to at least a 16% reduction in PM_2.5 levels in the roadside microenvironment; while the pollution control measures contributed to at least a 43% reduction in PM_2.5 levels.

Keywords meteorology emission control measures Beijing Olympic Games PM_2.5 linear statistical models

Corresponding Author(s): HAO Jiming,Email:hjm-den@tsinghua.edu.cn

Issue Date: 05 September 2011

Cite this article:

Liu YANG,Ye WU,Jerry M. DAVIS, et al. Estimating the effects of meteorology on PM_2.5 reduction during the 2008 Summer Olympic Games in Beijing, China[J]. Front Envir Sci Eng Chin, 2011, 5(3): 331-341.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-011-0307-5
https://academic.hep.com.cn/fese/EN/Y2011/V5/I3/331

Fig.1 Location and surroundings of the monitoring site and meteorology site: (a) location of monitoring site, (b) surrounding of monitoring site

Tab.1 Characteristic meteorology data and PM concentration in no traffic control and control periods (mean value±standard deviation). Monitoring for no traffic control period and control period lasted for 274 h and 544 h, respectively

Fig.2 Hourly averaged meteorological data collected during the no control and control periods: (a) no control period, (b) control period

Fig.3 Marginal effects of temperature on PM mass concentration. The dotted lines show the confidence interval for each regression model

Fig.4 Marginal effects of dew point temperature on PM mass concentration. The dotted lines showed the confidence interval for each regression model

Fig.5 Marginal effects of wind speed on PM mass concentration. The dotted lines showed the confidence interval for each regression model

Tab.2 Median values of PM concentrations under different wind conditions

Fig.6 Relationship between wind direction and PM concentrations measured at the monitoring site: (a) distribution of wind direction, (b) wind direction v.s. median value of PM

Tab.3 Effects of applying the control period regression coefficients to the no control period data

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