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将环境正义引入室内:了解低收入社区住宅暴露模式的结构性影响。

Moving environmental justice indoors: understanding structural influences on residential exposure patterns in low-income communities.

机构信息

Department of Environmental Health Harvard School of Public Health, Boston, MA 02215, USA.

出版信息

Am J Public Health. 2011 Dec;101 Suppl 1(Suppl 1):S238-45. doi: 10.2105/AJPH.2011.300119. Epub 2011 Aug 11.

Abstract

OBJECTIVES

The indoor environment has not been fully incorporated into the environmental justice dialogue. To inform strategies to reduce disparities, we developed a framework to identify the individual and place-based drivers of indoor environment quality.

METHODS

We reviewed empirical evidence of socioeconomic disparities in indoor exposures and key determinants of these exposures for air pollutants, lead, allergens, and semivolatile organic compounds. We also used an indoor air quality model applied to multifamily housing to illustrate how nitrogen dioxide (NO(2)) and fine particulate matter (PM(2.5)) vary as a function of factors known to be influenced by socioeconomic status.

RESULTS

Indoor concentrations of multiple pollutants are elevated in low-socioeconomic status households. Differences in these exposures are driven by the combined influences of indoor sources, outdoor sources, physical structures, and residential activity patterns. Simulation models confirmed indoor sources' importance in determining indoor NO(2) and PM(2.5) exposures and showed the influence of household-specific determinants.

CONCLUSIONS

Both theoretical models and empirical evidence emphasized that disparities in indoor environmental exposure can be significant. Understanding key determinants of multiple indoor exposures can aid in developing policies to reduce these disparities.

摘要

目的

室内环境尚未完全纳入环境正义对话。为了制定减少差距的策略,我们开发了一个框架来确定室内环境质量的个体和基于地点的驱动因素。

方法

我们回顾了社会经济地位差异对室内暴露的实证证据,以及这些暴露的关键决定因素,包括空气污染物、铅、过敏原和半挥发性有机化合物。我们还使用了一个适用于多户住房的室内空气质量模型来说明二氧化氮(NO2)和细颗粒物(PM2.5)如何随已知受社会经济地位影响的因素而变化。

结果

多个污染物的室内浓度在社会经济地位较低的家庭中升高。这些暴露差异是由室内源、室外源、物理结构和居住活动模式的综合影响驱动的。模拟模型证实了室内源在确定室内 NO2 和 PM2.5 暴露中的重要性,并显示了家庭特定决定因素的影响。

结论

理论模型和实证证据都强调了室内环境暴露的差异可能很大。了解多种室内暴露的关键决定因素有助于制定减少这些差距的政策。

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