Health impact assessment of air pollution using a dynamic exposure profile: Implications for exposure and health impact estimates

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• 作者：Stijn Dhondt^a ; ^{stijn.dhondt@vub.ac.be}  ; [Author Vitae] ; Carolien Beckx^b ; ^{Carolien.Beckx@vito.be}  ; [Author Vitae] ; Bart Degraeuwe^b ; ^{Bart.Degraeuwe@vito.be}  ; [Author Vitae] ; Wouter Lefebvre^b ; ^{Wouter.Lefebvre@vito.be}  ; [Author Vitae] ; Bruno Kochan^c ; ^{Bruno.Kochan@uhasselt.be}  ; [Author Vitae] ; Tom Bellemans^c ; ^{Tom.Bellemans@uhasselt.be}  ; [Author Vitae] ; Luc Int Panis^b ; ^c ; ^{Luc.intpanis@vito.be}  ; [Author Vitae] ; Cathy Macharis^d ; ^{cjmachar@vub.ac.be}  ; [Author Vitae] ; Koen Putman^a ; ^e ; ^{kputman@vub.ac.be}  ; [Author Vitae]
• 关键词：Health impact assessment ; Travel pattern ; Air pollution ; Exposure ; Mobility
• 刊名：Environmental Impact Assessment Review
• 出版年：2012
• 期刊代码：26_01959255
• 类别：env
• 出版时间：September, 2012
• 卷：36
• 期：Complete
• 页码：42-51
• 文件大小：1810 K

摘要

In both ambient air pollution epidemiology and health impact assessment an accurate assessment of the population exposure is crucial. Although considerable advances have been made in assessing human exposure outdoors, the assessments often do not consider the impact of individual travel behavior on such exposures.

Population-based exposures to NO₂ and O₃ using only home addresses were compared with models that integrate all time-activity patterns鈥攊ncluding time in commute鈥攆or Flanders and Brussels. The exposure estimates were used to estimate the air pollution impact on years of life lost due to respiratory mortality.

Health impact of NO₂ using an exposure that integrates time-activity information was on average 1.2%higher than when assuming that people are always at their home address. For ozone the overall estimated health impact was 0.8%lower. Local differences could be much larger, with estimates that differ up to 12%from the exposure using residential addresses only. Depending on age and gender, deviations from the population average were seen.

Our results showed modest differences on a regional level. At the local level, however, time-activity patterns indicated larger differences in exposure and health impact estimates, mainly for people living in more rural areas. These results suggest that for local analyses the dynamic approach can contribute to an improved assessment of the health impact of various types of pollution and to the understanding of exposure differences between population groups.