Turner Jay R, Allen David T
Department of Energy, Environmental and Chemical Engineering, Washington University, St. Louis, MO 63130-4899, USA.
J Air Waste Manag Assoc. 2008 Feb;58(2):196-215. doi: 10.3155/1047-3289.58.2.196.
Air quality field data, collected as part of the fine particulate matter Supersites Program and other field measurements programs, have been used to assess the degree of intraurban variability for various physical and chemical properties of ambient fine particulate matter. Spatial patterns vary from nearly homogeneous to quite heterogeneous, depending on the city, parameter of interest, and the approach or method used to define spatial variability. Secondary formation, which is often regional in nature, drives fine particulate matter mass and the relevant chemical components toward high intraurban spatial homogeneity. Those particulate matter components that are dominated by primary emissions within the urban area, such as black carbon and several trace elements, tend to exhibit greater spatial heterogeneity. A variety of study designs and data analysis approaches have been used to characterize intraurban variability. High temporal correlation does not imply spatial homogeneity. For example, there can be high temporal correlation but with spatial heterogeneity manifested as smooth spatial gradients, often emanating from areas of high emissions such as the urban core or industrial zones.
作为细颗粒物超级站点计划及其他实地测量计划的一部分收集的空气质量现场数据,已用于评估城市环境中细颗粒物各种物理和化学性质的城市内部变异性程度。空间格局从几乎均匀到非常不均匀各不相同,这取决于城市、感兴趣的参数以及用于定义空间变异性的方法或途径。二次形成通常具有区域性,它促使细颗粒物质量和相关化学成分在城市内部具有较高的空间均匀性。那些在城市区域内以一次排放为主的颗粒物成分,如黑碳和几种微量元素,往往表现出更大的空间异质性。已采用多种研究设计和数据分析方法来表征城市内部变异性。高时间相关性并不意味着空间均匀性。例如,可能存在高时间相关性,但空间异质性表现为平滑的空间梯度,通常源自高排放区域,如城市核心区或工业区。