Full Citation

Title: Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States

Citation Type: Journal Article

Publication Year: 2020

ISBN:

ISSN: 18732844

DOI: 10.1016/j.atmosenv.2020.117470

NSFID:

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PMID:

Abstract: 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.

Url: https://www.sciencedirect.com/science/article/abs/pii/S1352231020302077

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Authors: Wang, Yuzhou; Bechle, Matthew J.; Kim, Sun Young; Adams, Peter J.; Pandis, Spyros N.; Pope, C. Arden; Robinson, Allen L.; Sheppard, Lianne; Szpiro, Adam A.; Marshall, Julian D.

Periodical (Full): Atmospheric Environment

Issue:

Volume: 241

Pages: 117470

Data Collections: IPUMS NHGIS

Topics: Other

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