气候变化领域集成服务门户(CCPortal): Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States

CCPortal

DOI	10.1016/j.atmosenv.2020.117470
	Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States
	Wang Y.; Bechle M.J.; Kim S.-Y.; Adams P.J.; Pandis S.N.; Pope C.A.; III; Robinson A.L.; Sheppard L.; Szpiro A.A.; Marshall J.D.
发表日期	2020
ISSN	13522310
卷号	241
英文摘要	Length scales for spatial variability of air pollution concentrations depend on the pollutant and the location. In this paper, we develop a readily scalable algorithm based on “spatial-increment”, to decompose the air pollution concentration into four spatial components: long-range, mid-range, neighborhood, and near-source. We apply the algorithm to annual-average concentrations of outdoor nitrogen dioxide (NO2) and fine particulate matter (PM2.5) for all census blocks in the contiguous US. For NO2, “neighborhood” and “mid-range” components dominate both within-city and between-city concentration differences (both components are ~5-fold larger in large urbanized areas than rural areas). For PM2.5, the “long-range” component dominates; this component varies by region (e.g., is three times greater in the Midwest [7 μg/m3] than in the West [2.3 μg/m3]), whereas variation by urban area size is relatively minor. Our study provides the first nation-level fine-scale decomposed pollution surfaces to date; this dataset is publicly available. Results can be used to estimate, at least to a zeroth order, the contribution of sources at different distances from the receptor to the annual average pollution in a location of interest. © 2020
英文关键词	NO2; PM2.5; Spatial decomposition; Spatial increment
语种	英语
scopus关键词	Air pollution; Annual average concentration; Fine particulate matter (PM2.5); Nitrogen dioxides; Pollution concentration; Scalable algorithms; Spatial decompositions; Spatial variability; Urbanized area; Nitrogen oxides; nitrogen dioxide; atmospheric pollution; decomposition analysis; nitrogen dioxide; particulate matter; pollutant source; urban area; urban pollution; air pollution; algorithm; Article; climate; comparative study; controlled study; decomposition; particulate matter; priority journal; rural area; surface property; topography; United States; urban area; urbanization; Midwest; United States
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144958
作者单位	Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, United States; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, United States; Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, South Korea; Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States; Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA 15213, United States; Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States; Department of Economics, Brigham Young University, Provo, UT 84602, United States; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States; Department of Biostatistics, University of Washington, Seattle, WA 98195, United States
推荐引用方式 GB/T 7714	Wang Y.,Bechle M.J.,Kim S.-Y.,et al. Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States[J],2020,241.
APA	Wang Y..,Bechle M.J..,Kim S.-Y..,Adams P.J..,Pandis S.N..,...&Marshall J.D..(2020).Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States.Atmospheric Environment,241.
MLA	Wang Y.,et al."Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States".Atmospheric Environment 241(2020).