A statistical model to evaluate the effectiveness of PM_2.5 emissions control during the Beijing 2008 Olympic Games

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• 作者：Yang Liu^a ; ^{yang.liu@emory.edu} ; Kebin He^b ; ^{hekb@mail.tsinghua.edu.cn} ; Shenshen Li^a ; ^{Shenshen.li@emory.edu} ; Zhaoxi Wang^c ; ^{mikewang@hsph.harvard.edu} ; David C. Christiani^d ; ^{dchris@hsph.harvard.edu} ; Petros Koutrakis^e ; ^{petros@hsph.harvard.edu}
• 关键词：Beijing Olympic Games ; PM2.5 ; Air pollution control ; MODIS AOD ; GAM
• 刊名：Environment International
• 出版年：2012
• 期刊代码：25_01604120
• 类别：env
• 出版时间：1 September, 2012
• 卷：44
• 期：Complete
• 页码：100-105
• 文件大小：529 K

摘要

A statistical model was developed using satellite remote sensing data and meteorological parameters to evaluate the effectiveness of air pollution control measures during the 2008 Beijing Olympic Games. Custom satellite retrievals under hazy conditions were included in the modeling dataset to represent the air pollution levels more accurately. This model explained 70%of the PM_2.5 variability during the modeling period from June to October 2008. Using this tool, we estimate that the aggressive emission reduction measures alone effectively lowered PM_2.5 levels by 20-24 渭g/m³ or 27-33%on average during the Games period, which is substantially greater than those reported previously. Since parameters required to develop this model are readily available in most cities of the world, it can be quickly applied after other major events to evaluate air pollution control policy.