Abstract

Global measurements of the elemental composition of fine particulate matter across several urban locations by the Surface Particulate Matter Network reveal an enhanced fraction of anthropogenic dust compared to natural dust sources, especially over Asia. We develop a global simulation of anthropogenic fugitive, combustion, and industrial dust which, to our knowledge, is partially missing or strongly underrepresented in global models. We estimate 2–16 μg m−3 increase in fine particulate mass concentration across East and South Asia by including anthropogenic fugitive, combustion, and industrial dust emissions. A simulation including anthropogenic fugitive, combustion, and industrial dust emissions increases the correlation from 0.06 to 0.66 of simulated fine dust in comparison with Surface Particulate Matter Network measurements at 13 globally dispersed locations, and reduces the low bias by 10% in total fine particulate mass in comparison with global in situ observations. Global population-weighted PM2.5 increases by 2.9 μg m−3 (10%). Our assessment ascertains the urgent need of including this underrepresented fine anthropogenic dust source into global bottom-up emission inventories and global models.

Details

Title
Anthropogenic fugitive, combustion and industrial dust is a significant, underrepresented fine particulate matter source in global atmospheric models
Author
Sajeev, Philip 1 ; Martin, Randall V 2 ; Snider, Graydon 3 ; Weagle, Crystal L 4 ; Aaron van Donkelaar 3 ; Brauer, Michael 5 ; Henze, Daven K 6 ; Klimont, Zbigniew 7 ; Venkataraman, Chandra 8 ; Guttikunda, Sarath K 9 ; Zhang, Qiang 10 

 Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada; Now at NASA Ames Research Center, Moffett Field, California, United States of America; Author to whom any correspondence should be addressed. 
 Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada; Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada; Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, United States of America; Author to whom any correspondence should be addressed. 
 Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada 
 Department of Chemistry, Dalhousie University, Halifax, Nova Scotia, Canada 
 School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada 
 Department of Mechanical Engineering, University of Colorado at Boulder, Boulder, Colorado, United States of America 
 International Institute for Applied Systems Analysis, Laxenburg, Austria 
 Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, India 
 Division of Atmospheric Sciences, Desert Research Institute, Reno, United States of America 
10  Center for Earth System Science, Tsinghua University, Beijing, People’s Republic of China 
Publication year
2017
Publication date
Apr 2017
Publisher
IOP Publishing
e-ISSN
17489326
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2549158374
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.