TY - JOUR
T1 - Global Sources of Fine Particulate Matter
T2 - Interpretation of PM2.5 Chemical Composition Observed by SPARTAN using a Global Chemical Transport Model
AU - Weagle, Crystal L.
AU - Snider, Graydon
AU - Li, Chi
AU - Van Donkelaar, Aaron
AU - Philip, Sajeev
AU - Bissonnette, Paul
AU - Burke, Jaqueline
AU - Jackson, John
AU - Latimer, Robyn
AU - Stone, Emily
AU - Abboud, Ihab
AU - Akoshile, Clement
AU - Anh, Nguyen Xuan
AU - Brook, Jeffrey Robert
AU - Cohen, Aaron
AU - Dong, Jinlu
AU - Gibson, Mark D.
AU - Griffith, Derek
AU - He, Kebin B.
AU - Holben, Brent N.
AU - Kahn, Ralph
AU - Keller, Christoph A.
AU - Kim, Jong Sung
AU - Lagrosas, Nofel
AU - Lestari, Puji
AU - Khian, Yeo Lik
AU - Liu, Yang
AU - Marais, Eloise A.
AU - Martins, J. Vanderlei
AU - Misra, Amit
AU - Muliane, Ulfi
AU - Pratiwi, Rizki
AU - Quel, Eduardo J.
AU - Salam, Abdus
AU - Segev, Lior
AU - Tripathi, Sachchida N.
AU - Wang, Chien
AU - Zhang, Qiang
AU - Brauer, Michael
AU - Rudich, Yinon
AU - Martin, Randall V.
N1 - Publisher Copyright:
© 2018 American Chemical Society.
PY - 2018/10/16
Y1 - 2018/10/16
N2 - Exposure to ambient fine particulate matter (PM2.5) is a leading risk factor for the global burden of disease. However, uncertainty remains about PM2.5 sources. We use a global chemical transport model (GEOS-Chem) simulation for 2014, constrained by satellite-based estimates of PM2.5 to interpret globally dispersed PM2.5 mass and composition measurements from the ground-based surface particulate matter network (SPARTAN). Measured site mean PM2.5 composition varies substantially for secondary inorganic aerosols (2.4-19.7 μg/m3), mineral dust (1.9-14.7 μg/m3), residual/organic matter (2.1-40.2 μg/m3), and black carbon (1.0-7.3 μg/m3). Interpretation of these measurements with the GEOS-Chem model yields insight into sources affecting each site. Globally, combustion sectors such as residential energy use (7.9 μg/m3), industry (6.5 μg/m3), and power generation (5.6 μg/m3) are leading sources of outdoor global population-weighted PM2.5 concentrations. Global population-weighted organic mass is driven by the residential energy sector (64%) whereas population-weighted secondary inorganic concentrations arise primarily from industry (33%) and power generation (32%). Simulation-measurement biases for ammonium nitrate and dust identify uncertainty in agricultural and crustal sources. Interpretation of initial PM2.5 mass and composition measurements from SPARTAN with the GEOS-Chem model constrained by satellite-based PM2.5 provides insight into sources and processes that influence the global spatial variation in PM2.5 composition.
AB - Exposure to ambient fine particulate matter (PM2.5) is a leading risk factor for the global burden of disease. However, uncertainty remains about PM2.5 sources. We use a global chemical transport model (GEOS-Chem) simulation for 2014, constrained by satellite-based estimates of PM2.5 to interpret globally dispersed PM2.5 mass and composition measurements from the ground-based surface particulate matter network (SPARTAN). Measured site mean PM2.5 composition varies substantially for secondary inorganic aerosols (2.4-19.7 μg/m3), mineral dust (1.9-14.7 μg/m3), residual/organic matter (2.1-40.2 μg/m3), and black carbon (1.0-7.3 μg/m3). Interpretation of these measurements with the GEOS-Chem model yields insight into sources affecting each site. Globally, combustion sectors such as residential energy use (7.9 μg/m3), industry (6.5 μg/m3), and power generation (5.6 μg/m3) are leading sources of outdoor global population-weighted PM2.5 concentrations. Global population-weighted organic mass is driven by the residential energy sector (64%) whereas population-weighted secondary inorganic concentrations arise primarily from industry (33%) and power generation (32%). Simulation-measurement biases for ammonium nitrate and dust identify uncertainty in agricultural and crustal sources. Interpretation of initial PM2.5 mass and composition measurements from SPARTAN with the GEOS-Chem model constrained by satellite-based PM2.5 provides insight into sources and processes that influence the global spatial variation in PM2.5 composition.
UR - https://www.scopus.com/pages/publications/85054403229
U2 - 10.1021/acs.est.8b01658
DO - 10.1021/acs.est.8b01658
M3 - Article
C2 - 30215246
AN - SCOPUS:85054403229
SN - 0013-936X
VL - 52
SP - 11670
EP - 11681
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 20
ER -