Zhou Ying, Levy Jonathan I
Department of Environmental Health, Harvard School of Public Health, Landmark Center, Boston, MA 02215, USA.
BMC Public Health. 2007 May 22;7:89. doi: 10.1186/1471-2458-7-89.
There has been growing interest among exposure assessors, epidemiologists, and policymakers in the concept of "hot spots", or more broadly, the "spatial extent" of impacts from traffic-related air pollutants. This review attempts to quantitatively synthesize findings about the spatial extent under various circumstances.
We include both the peer-reviewed literature and government reports, and focus on four significant air pollutants: carbon monoxide, benzene, nitrogen oxides, and particulate matter (including both ultrafine particle counts and fine particle mass). From the identified studies, we extracted information about significant factors that would be hypothesized to influence the spatial extent within the study, such as the study type (e.g., monitoring, air dispersion modeling, GIS-based epidemiological studies), focus on concentrations or health risks, pollutant under study, background concentration, emission rate, and meteorological factors, as well as the study's implicit or explicit definition of spatial extent. We supplement this meta-analysis with results from some illustrative atmospheric dispersion modeling.
We found that pollutant characteristics and background concentrations best explained variability in previously published spatial extent estimates, with a modifying influence of local meteorology, once some extreme values based on health risk estimates were removed from the analysis. As hypothesized, inert pollutants with high background concentrations had the largest spatial extent (often demonstrating no significant gradient), and pollutants formed in near-source chemical reactions (e.g., nitrogen dioxide) had a larger spatial extent than pollutants depleted in near-source chemical reactions or removed through coagulation processes (e.g., nitrogen oxide and ultrafine particles). Our illustrative dispersion model illustrated the complex interplay of spatial extent definitions, emission rates, background concentrations, and meteorological conditions on spatial extent estimates even for non-reactive pollutants. Our findings indicate that, provided that a health risk threshold is not imposed, the spatial extent of impact for mobile sources reviewed in this study is on the order of 100-400 m for elemental carbon or particulate matter mass concentration (excluding background concentration), 200-500 m for nitrogen dioxide and 100-300 m for ultrafine particle counts.
First, to allow for meaningful comparisons across studies, it is important to state the definition of spatial extent explicitly, including the comparison method, threshold values, and whether background concentration is included. Second, the observation that the spatial extent is generally within a few hundred meters for highway or city roads demonstrates the need for high resolution modeling near the source. Finally, our findings emphasize that policymakers should be able to develop reasonable estimates of the "zone of influence" of mobile sources, provided that they can clarify the pollutant of concern, the general site characteristics, and the underlying definition of spatial extent that they wish to utilize.
暴露评估人员、流行病学家和政策制定者对“热点”概念,或者更广泛地说,对交通相关空气污染物影响的“空间范围”的兴趣与日俱增。本综述试图定量综合各种情况下有关空间范围的研究结果。
我们纳入了同行评审文献和政府报告,并聚焦于四种重要空气污染物:一氧化碳、苯、氮氧化物和颗粒物(包括超细颗粒计数和细颗粒质量)。从已确定的研究中,我们提取了有关假设会影响研究中空间范围的重要因素的信息,例如研究类型(如监测、空气扩散模型、基于地理信息系统的流行病学研究)、对浓度或健康风险的关注、所研究的污染物、背景浓度、排放率和气象因素,以及研究对空间范围的隐含或明确界定。我们用一些说明性大气扩散模型的结果对这项荟萃分析进行补充。
我们发现,一旦从分析中剔除基于健康风险估计的一些极端值,污染物特征和背景浓度最能解释先前发表的空间范围估计值的变异性,当地气象也有修正作用。如所假设的,背景浓度高的惰性污染物空间范围最大(通常无显著梯度),近源化学反应形成的污染物(如二氧化氮)的空间范围大于近源化学反应中消耗或通过凝聚过程去除的污染物(如氮氧化物和超细颗粒)。我们的说明性扩散模型表明,即使对于非反应性污染物,空间范围定义、排放率、背景浓度和气象条件在空间范围估计方面也存在复杂的相互作用。我们的研究结果表明,在不设定健康风险阈值的情况下,本研究中所审查的移动源影响的空间范围对于元素碳或颗粒物质量浓度(不包括背景浓度)约为100 - 400米,对于二氧化氮为200 - 500米,对于超细颗粒计数为100 - 300米。
第一,为便于各项研究之间进行有意义的比较,明确说明空间范围的定义很重要,包括比较方法、阈值以及是否包括背景浓度。第二,公路或城市道路的空间范围一般在几百米以内这一观察结果表明,需要在源附近进行高分辨率建模。最后,我们的研究结果强调,政策制定者应该能够对移动源的“影响区域”做出合理估计,前提是他们能够阐明所关注的污染物、一般场地特征以及他们希望采用的空间范围的基本定义。