TY - JOUR
T1 - Analysis of remotely sensed and surface data of aerosols and meteorology for the Mexico Megalopolis Area between 2003 and 2015
AU - Mora, Marco
AU - Braun, Rachel A.
AU - Shingler, Taylor
AU - Sorooshian, Armin
N1 - Funding Information:
This research is supported by the Consortium for Arizona-Mexico Arid Environments (CAZMEX), with funding from the Consejo Nacional de Ciencia y Tecnología (CONACYT) and the University of Arizona. We acknowledge the use of FIRMS data and imagery from the Land, Atmosphere Near real-time Capability for EOS (LANCE). A.S. was funded in part by grant 2 P42 ES04940 from the National Institute of Environmental Health Sciences (NIEHS) Superfund Research Program, NIH. Mian Chin and Tom Kucsera are acknowl edged for providing GOCART data. We acknowledge Francisco Solano and Carlos Aguirre who kindly provided meteorological data for the state of Puebla (SEMA-Puebla) and the State of Mexico (SEMA-ZMVT), respectively. We acknowledge the help of the National Institute of Ecology and Climate Change (INECC), especially Sergio Sirat and Rodolfo Iniestra, who provided air qual ity data from monitoring stations in Mexico. This work complies with the AGU data policy; for data used in this study, either contact the corresponding author or refer to the data repository website https://doi.pangaea.de/ 10.1594/PANGAEA.875552.
Funding Information:
“This research is supported by the Consortium for Arizona-Mexico Arid Environments (CAZMEX), with funding from the Consejo Nacional de Ciencia y Tecnología (CONACYT) and the University of Arizona.”
Publisher Copyright:
©2017. American Geophysical Union. All Rights Reserved.
PY - 2017/8/27
Y1 - 2017/8/27
N2 - This paper presents an aerosol characterization study from 2003 to 2015 for the Mexico City Metropolitan Area using remotely sensed aerosol data, ground-based measurements, air mass trajectory modeling, aerosol chemical composition modeling, and reanalysis data for the broader Megalopolis of Central Mexico region. The most extensive biomass burning emissions occur between March and May concurrent with the highest aerosol optical depth, ultraviolet aerosol index, and surface particulate matter (PM) mass concentration values. A notable enhancement in coarse PM levels is observed during vehicular rush hour periods on weekdays versus weekends owing to nonengine-related emissions such as resuspended dust. Among wet deposition species measured, PM2.5, PM10, and PMcoarse (PM10-PM2.5) were best correlated with NH4 +, SO4 2−, and Ca2+, suggesting that the latter three constituents are important components of the aerosol seeding raindrops that eventually deposit to the surface in the study region. Reductions in surface PM mass concentrations were observed in 2014–2015 owing to reduced regional biomass burning as compared to 2003–2013.
AB - This paper presents an aerosol characterization study from 2003 to 2015 for the Mexico City Metropolitan Area using remotely sensed aerosol data, ground-based measurements, air mass trajectory modeling, aerosol chemical composition modeling, and reanalysis data for the broader Megalopolis of Central Mexico region. The most extensive biomass burning emissions occur between March and May concurrent with the highest aerosol optical depth, ultraviolet aerosol index, and surface particulate matter (PM) mass concentration values. A notable enhancement in coarse PM levels is observed during vehicular rush hour periods on weekdays versus weekends owing to nonengine-related emissions such as resuspended dust. Among wet deposition species measured, PM2.5, PM10, and PMcoarse (PM10-PM2.5) were best correlated with NH4 +, SO4 2−, and Ca2+, suggesting that the latter three constituents are important components of the aerosol seeding raindrops that eventually deposit to the surface in the study region. Reductions in surface PM mass concentrations were observed in 2014–2015 owing to reduced regional biomass burning as compared to 2003–2013.
KW - Mexico City
KW - aerosols
KW - fires
KW - particulate matter
KW - remote sensing
KW - weekend effect
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U2 - 10.1002/2017JD026739
DO - 10.1002/2017JD026739
M3 - Article
AN - SCOPUS:85029320800
SN - 2169-897X
VL - 122
SP - 8705
EP - 8723
JO - Journal of Geophysical Research Atmospheres
JF - Journal of Geophysical Research Atmospheres
IS - 16
ER -