Transport of Pollution over Mexico and the Gulf of Mexico: Preliminary Results from MILAGRO Campaign
MILAGRO Science Team
TF HTAP / NAS / AC&C Workshop Washington, DC June 9-13, 2008
Transport of Pollution over Mexico and the Gulf of Mexico: - - PowerPoint PPT Presentation
TF HTAP / NAS / AC&C Workshop Washington, DC June 9-13, 2008 Transport of Pollution over Mexico and the Gulf of Mexico: Preliminary Results from MILAGRO Campaign MILAGRO Science Team Outline of Presentation Air pollution in
TF HTAP / NAS / AC&C Workshop Washington, DC June 9-13, 2008
Source: UN Population Division, World Urbanization Prospect: The 2005 Revision (2006).
City 2005 1 Tokyo 35.2 2 Mexico City 19.4 3 New York 18.7 4 São Paulo 18.3 5 Mumbai 18.2 6 Delhi 15.0 7 Shanghai 14.5 8 Kolkata 14.3 9 Jakarta 13.2 10 Buenos Aires 12.6 11 Dhaka 12.4 12 Los Angeles 12.3 13 Karachi 11.6 14 Rio de Janeiro 11.5 15 Osaka-Kobe 11.3 16 Cairo 11.1 17 Lagos 10.9 18 Beijing 10.7 19 Manila 10.7 20 Moscow 10.7
Source: UN Population Division, World Urbanization Prospect: The 2005 Revision (2006).
>18 million (2000): 20-fold increase since 1900
>1500 km2 (2000): 10-fold increase since 1960 >Expansion to peripheral areas
Conditions >High altitude (2240m): less efficient combustion processes >Mountains are a physical barrier for winds >2nd largest megacity in the world >Temperature inversions in the dry season
Source: L.T. Molina and M.J. Molina, ed., Air Quality in the Mexico Megacity: An Integrated Assessment, Kluwer Publishers, 2002.
(a): Measured OH in MCMA (solid line) and in NYC (plusses); (b): measured HO2 in MCMA (solid line) and NYC (plusses). Gray dots are individual MCMA measurements. (a): Median ozone in MCMA 2003 (solid line) and NYC 2001 (plusses). (b): Median NOx in MCMA 2003 (solid line) and NYC 2001 (plusses). Gray dots are individual MCMA measurements. (c): Median VOCs from 4 sites in MCMA 2003 (solid line) and NYC 2001 (plusses).
Source: Shirley, T. R., Brune, W. H., Ren, X., Mao, J., Lesher, R., Cardenas, B., Volkamer, R., Molina, L. T., Molina, M. J., Lamb, B. , Velasco, E. , Jobson, T., Alexander, M.: Atmospheric oxidation in the Mexico City Metropolitan Area (MCMA) during April 2003, Atmos. Chem. Phys., 6, 2753-2765, 2006.
(Source: de Foy et al., 2006)
MCMA-2006
Supersites, Moblle Laboratories (MCE2)
San Francisco Miami Atlanta
Guatemala San Salvador Tegucigalpa Managua
INTEX-B
NASA DC-8
J-31, Satellites (NASA) MIRAGE-Mex
NSF C-130, King Air, Supersite (NCAR)
MAX-Mex
DOE G-1, King Air, Supersite (DOE ASP)
San José Havana Los Angeles El Paso Ciudad Juárez San Diego, Tijuana Monterrey Guadalajara
Houston
Dallas
Mexico City
Veracruz
Designed by M. Zavala
Supersites (T0, T1, T2) SIMAT (Flux Tower) CENICA Tula (refinery, power plant) Naucaplan (industrial zone) RAMA (36 monitoring stations) Mobile units (9 stations) Mobil Labs
Ultralight airplane Paso de Cortes AOT Network
Wind Profiler
0.0 0.1 1.0
H2CO CH3CHO Benzene Toluene C2- Benzene C3- Benzene
ppb/ppm
2003 2006
Zavala et al. , 2007
17
Acetaldehyde Formaldehyde Propanal Methanol *Ethene *Propane Butane Toluene Ethanol Butanal *Propene i-Pentane *Ethyne Pentane i-Butane MTBE Acetone MEK *Ethane Benzene
% OH Reactivity
5 10 15 20 25 30
Apel et al., AGU’07 * designates UCI measurement
VOC Abundance
Methanol *Propane Formaldehyde Acetone Acetaldehyde *Ethyne Butane Ethane Ethanol *Ethene Toluene Propanal i-Pentane i-Butane MEK Acetonitrile Pentane MTBE Benzene Butanal *Propene
Concentration pptv
2000 4000 6000 8000
18 Heald et al., ACP 2008
Coordinated G1 - C130 - CMET Balloon Flights
Longitude
Latitude
18 20 22 24 26 28
Balloon A Balloon B MCMA
Veracruz
G1: March 18
14:20 - 15:20 CST
C130: March 19
16:00 - 18:00 CST
WRF simulation of Mexico City plume on 19 March: strong southwesterly winds carried pollutants from MCMA towards coastal Mexico-Texas border.
CMET balloon – remote controlled (Winds, T, P, RH)
CO (ppbv)
100 200 300 400 500
Ox (ppbv)
20 40 60 80 100 120
G1: March 18 C130: March 19
Zavari et al., 2007
22
Shon , Madronich, Song, Flocke, Knapp, Anderson, Shetter, Cantrell, Hall, ACPD 2008
Flocke et al. AGU’07
24 Hodzic et al., AGU’07
25 Madronich, Shetter, Halls, Lefer, AGU’07
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DeCarlo et al. ACPD 2008 Source: Salcedo et al., ACP. 2006.
Volkamer, R., J.L. Jimenez, F. San Martini, K. Dzepina, Q. Zhang, D. Salcedo, L.T. Molina, D.R. Worsnop, and M.J. Molina, Geophys. Res. Lett., 33, L17811, doi:10.1029/2006GL026899, 2006
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Age = - Log(NOx/NOy)
0.0 0.2 0.4 0.6 0.8 1.0
Fraction of Organic Aerosol
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
OOA HOA
DeCarlo et al. ACPD 2008
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Specific Absorption
Age = - Log(NOx/NOy)
0.0 0.2 0.4 0.6 0.8 1.0
PSAP/CO regression slope (Mm-1/ppb)
0.01 0.02 0.03 0.04 0.05
Kleinman et al., in prep.
Age = - Log(NOx/NOy)
0.0 0.2 0.4 0.6 0.8 1.0
Single scatter albedo (550 nm)
0.70 0.75 0.80 0.85 0.90 0.95 1.00
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HSRL (532 nm) AATS (519 nm) Hi GEAR (550 nm)
Hair, Hostettler, Ferrare, Redemann, Livingston, Clarke, et al., in prep.
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14C (modern carbon)
Yokelson et al.,ACP 2007; Moffet et al. ACPD 2007; Jimenez et al., Herndon et al., Emmons et al. in prep.
Fresh Urban Photochemistry “clean”
MODIS fire counts March 2006
2 4 6 8 10 12 500 1000 1500 2000 2500 3000
DC8_INTEX-B C130_INTEX-B DC8_GEOS-Chem C130_GEOS-Chem DC8_STEM C130_STEM DC8_MOZART C130_MOZART
Altitude, km NOy, ppt
2 4 6 8 10 12 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
INT EX-B _DC8 GE OS - Chem_DC8 ST EM_DC8 M OZA RT _DC8 DC8_RA QMS DC8_BOXMODEL
Courtesy: Singh et al.
INTEX-B R EG 2
ANs RONO2
Courtesy: Singh et al.
2 4 6 8 10 12 200 400 600 800 1000
INT EX-B _DC8 GE OS - Chem_DC8 GE OS - Chem_C130 M OZA RT _DC8 M OZA RT _C130 DC8_RA QMS C130_RAQM S
Altitude, km CH3OOH, ppt
2 4 6 8 10 12 500 1000 1500 2000 2500
INT EX-B _DC8 INT EX-B _C130 GE OS - Chem_DC8 GE OS - Chem_C130 ST EM_DC8 ST EM_C130 M OZA RT _DC8 M OZA RT _C130 DC8_RA QMS C130_RAQM S
Courtesy: Singh et al.
2 4 6 8 10 12 200 400 600 800
DC8_INTEX-B C130_INTEX-B DC8_GEOS-Chem C130_GEOS-Chem DC8_STEM C130_STEM DC8_MOZART C130_M OZART
Courtesy: Singh et al.
2 4 6 8 10 12 200 400 600 800 1000 1200 1400
DC8_INTEX-B C130_INTEX-B DC8_GEOS-Chem C130_GEOS-Chem DC8_STEM C130_STEM DC8_MOZART C130_M OZART
2 4 6 8 10 12 50 100 150 200 250 300 350
INT EX-B_DC8 INT EX-B_C130
Altitude, km Propanal, ppt
Courtesy: Singh et al.
2 4 6 8 10 12 500 1000 1500 2000
INT EX-B _DC8 INT EX-B _C130 GE OS - Chem_DC8 GE OS - Chem_C130 M OZA RT _DC8 M OZA RT _C130 DC8_RA QMS C130_RAQM S
Altitude, km Acetone, ppt
2 4 6 8 10 12 500 1000 1500 2000
INT EX-B _DC8 GE OS - Chem_DC8 M OZA RT _DC8 RA QMS_DC8
Altitude, km Acetone, ppt
Courtesy: Singh et al
2 4 6 8 10 12 100 200 300 400 500 600
INT EX-B _DC8 INT EX-B _C130 M OZA RT _DC8 M OZA RT _C130
Altitude, km Ethanol, ppt
2 4 6 8 10 12 1000 2000 3000 4000 5000
INT EX-B _DC8 INT EX-B _C130 GE OS - Chem_DC8 GE OS - Chem_C130 M OZA RT _DC8 M OZA RT _C130 DC8_RA QMS C130_RAQM S
Altitude, km Methanol, ppt
Courtesy: Singh et al
42
Courtesy P. Russell and the J-31 Team (NASA)
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west where other sources are smaller and MCMA provides the dominant
apportioned because of the influence from US, regional BB, and N Mexico. The MCMA plume was detected at distances up to 1000 km downwind.
formation.
use (mostly urban emissions) and biomass burning (mostly agricultural and forest fires outside the city) contribute to the amount of aerosol.
aerosols than gases. Agricultural, forest, and trash fires are common, and their plumes carry distinct chemical signatures.
the single scattering albedo and the black carbon specific absorption increase with time. Models of aerosol growth, microphysics, and optics are being evaluated with MILAGRO data.
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