Department of Environmental and Occupational Health, University of South Florida, 13201 Bruce B. Downs Blvd, MDC-56, Tampa, FL 33612, USA.
J Air Waste Manag Assoc. 2013 Aug;63(8):943-55. doi: 10.1080/10962247.2013.800168.
Intra-urban differences in concentrations of oxides of nitrogen (NO(x)) and exposure disparities in the Tampa area were investigated across temporal scales through emissions estimation, dispersion modeling, and analysis of residential subpopulation exposures. A hybrid estimation method was applied to provide link-level hourly on-road mobile source emissions. Ambient concentrations in 2002 at 1 km resolution were estimated using the CALPUFF dispersion model. Results were combined with residential demographic data at the block-group level, to investigate exposures and inequality for select racioethnic, age, and income population subgroups. Results indicate that on-road mobile sources contributed disproportionately to ground-level concentrations and dominated the spatial footprint across temporal scales (annual average to maximum hour). The black, lower income (less than $40K annually), and Hispanic subgroups had higher estimated exposures than the county average; the white and higher income (greater than $60K) subgroups had lower than average exposures. As annual average concentration increased, the disparity between groups generally increased. However for the highest 1-hr concentrations, reverse disparities were also found.
Current studies of air pollution exposure inequality have not fully considered differences by time scale and are often limited in spatial resolution. The modeling methods and the results presented here can be used to improve understanding of potential impacts of urban growth form on health and to improve urban sustainability. Results suggest focusing urban design interventions on reducing on-road mobile source emissions in areas with high densities of minority and low income groups.
本研究通过排放估算、扩散建模以及对居民亚人群暴露情况的分析,跨时间尺度调查了坦帕地区氮氧化物(NO(x))浓度的城市内差异和暴露差异。应用混合估算方法,提供了逐车道小时道路移动源排放数据。采用 CALPUFF 扩散模型,以 1 公里的分辨率估算了 2002 年的环境浓度。结果与街区组级的居民人口统计数据相结合,调查了特定种族、年龄和收入人群亚组的暴露情况和不平等情况。结果表明,道路移动源对地面浓度的贡献不成比例,且在时间尺度上(年平均到最大小时)占据主导地位。黑人、低收入(年收入低于 40000 美元)和西班牙裔亚组的估计暴露量高于全县平均水平;白人、高收入(年收入超过 60000 美元)亚组的暴露量低于平均水平。随着年平均浓度的增加,各组之间的差异通常会增加。但是,对于最高的 1 小时浓度,也发现了相反的差异。
目前有关空气污染暴露不平等的研究没有充分考虑时间尺度的差异,并且在空间分辨率方面往往受到限制。这里提出的建模方法和结果可用于增进对城市形态对健康的潜在影响的理解,并提高城市可持续性。结果表明,应将城市设计干预重点放在减少高少数民族和低收入人群密度地区的道路移动源排放上。