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, Iaqueline
AU - Jackson, John
AU - Latimer, Robyn
AU - Stone, Emily
AU - Abboud, Ihab
AU - Akoshile, Clement
AU - Nguyen Xuan 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 - Segey, Lior
AU - Tripathi, Sachchida N.
AU - Wang, Chien
AU - Zhang, Qiang
AU - Brauer, Michael
AU - Rudich, Yinon
AU - Martin, Randall
N1 - SPARTAN is an IGAC-endorsed activity (www.igacproject.org). The National Sciences and Engineering Research Council of Canada supported this work. Crystal Weagle was partially supported by the Nova Scotia Research and Innovation Graduate Scholarship. Sachchida Tripathi acknowledges the Indo-UK joint project (Grant no. DST/INT/UK/P-144/2016), UKIERI, and is thankful to DST for the financial support. Yinon Rudich acknowledges support from the Israel Science Foundation (Grant No. 236/16) and from the Environmental Health Fund (Israel). We are grateful to the numerous SPARTAN site operators for their careful measurements presented here.
PY - 2018/10/16
Y1 - 2018/10/16
N2 - Exposure to ambient fine particulate matter (PM 2.5) is a leading risk factor for the global burden of disease. However, uncertainty remains about PM 2.5 sources. We use a global chemical transport model (GEOS-Chem) simulation for 2014, constrained by satellite-based estimates of PM 2.5 to interpret globally dispersed PM 2.5 mass and composition measurements from the ground-based surface particulate matter network (SPARTAN). Measured site mean PM 2.5 composition varies substantially for secondary inorganic aerosols (2.4-19.7 μg/m 3), mineral dust (1.9-14.7 μg/m 3), residual/organic matter (2.1-40.2 μg/m 3), and black carbon (1.0-7.3 μg/m 3). 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/m 3), industry (6.5 μg/m 3), and power generation (5.6 μg/m 3) are leading sources of outdoor global population-weighted PM 2.5 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 PM 2.5 mass and composition measurements from SPARTAN with the GEOS-Chem model constrained by satellite-based PM 2.5 provides insight into sources and processes that influence the global spatial variation in PM 2.5 composition.
AB - Exposure to ambient fine particulate matter (PM 2.5) is a leading risk factor for the global burden of disease. However, uncertainty remains about PM 2.5 sources. We use a global chemical transport model (GEOS-Chem) simulation for 2014, constrained by satellite-based estimates of PM 2.5 to interpret globally dispersed PM 2.5 mass and composition measurements from the ground-based surface particulate matter network (SPARTAN). Measured site mean PM 2.5 composition varies substantially for secondary inorganic aerosols (2.4-19.7 μg/m 3), mineral dust (1.9-14.7 μg/m 3), residual/organic matter (2.1-40.2 μg/m 3), and black carbon (1.0-7.3 μg/m 3). 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/m 3), industry (6.5 μg/m 3), and power generation (5.6 μg/m 3) are leading sources of outdoor global population-weighted PM 2.5 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 PM 2.5 mass and composition measurements from SPARTAN with the GEOS-Chem model constrained by satellite-based PM 2.5 provides insight into sources and processes that influence the global spatial variation in PM 2.5 composition.
UR - http://www.scopus.com/inward/record.url?scp=85054403229&partnerID=8YFLogxK
U2 - 10.1021/acs.est.8b01658
DO - 10.1021/acs.est.8b01658
M3 - مقالة
SN - 0013-936X
VL - 52
SP - 11670
EP - 11681
JO - Environmental Science & Technology
JF - Environmental Science & Technology
IS - 20
ER -