Estimated Long-Term (1981-2016) Concentrations of Ambient Fine Particulate Matter across North America from Chemical Transport Modeling, Satellite Remote Sensing, and Ground-Based Measurements.

Authors:
Jun Meng
Jun Meng
Affiliated Hospital of North Sichuan Medical College
China
Chi Li
Chi Li
School of Biomedical Sciences
Orlando | United States
Randall V Martin
Randall V Martin
Dalhousie University
Halifax | Canada
Aaron van Donkelaar
Aaron van Donkelaar
†Dalhousie University
Canada
Michael Brauer
Michael Brauer
School of Population and Public Health
Vancouver | Canada

Environ Sci Technol 2019 May 24;53(9):5071-5079. Epub 2019 Apr 24.

School of Population and Public Health , The University of British Columbia , 2206 East Mall , Vancouver , British Columbia V6T 1Z3 , Canada.

Accurate data concerning historical fine particulate matter (PM) concentrations are needed to assess long-term changes in exposure and associated health risks. We estimated historical PM concentrations over North America from 1981 to 2016 for the first time by combining chemical transport modeling, satellite remote sensing, and ground-based measurements. We constrained and evaluated our estimates with direct ground-based PM measurements when available and otherwise with historical estimates of PM from PM measurements or total suspended particle (TSP) measurements. The estimated PM concentrations were generally consistent with direct ground-based PM measurements over their duration from 1988 onward ( R = 0.6 to 0.85) and to a lesser extent with PM inferred from PM measurements from 1985 to 1998 ( R = 0.5 to 0.6). The collocated comparison of the trends of population-weighted annual average PM from our estimates and ground-based measurements was highly consistent (RMSD = 0.66 μg m). The population-weighted annual average PM over North America decreased from 22 ± 6.4 μg m in 1981, to 12 ± 3.2 μg m in 1998, and to 7.9 ± 2.1 μg m in 2016, with an overall trend of -0.33 μg m yr (95% CI: -0.35, -0.31).

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Source
http://dx.doi.org/10.1021/acs.est.8b06875DOI Listing
May 2019
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