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An Overview of the Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study
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Transcript of An Overview of the Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study
An Overview of the Big Bend Regional Aerosol and Visibility Observational
(BRAVO) Study
Marc Pitchford, Ph.D
National Oceanic and Atmospheric Administration
Mark Green, Ph.D.
Desert Research Institute
Reasons for the Study
• Clean Air Act provides protection from visibility impacts at certain national parks and wilderness areas including Big Bend
• Popular perception in the region that haze levels have been increasing at Big Bend
• Concerns that increased emissions along the US/Mexico border are responsible for haze increases
• Preliminary Big Bend Haze Study called for a source attribution study
Photos
BRAVO Study Participants
U.S. Activities
EPA Sponsor, project management & direction
NPS Sponsor, project management & modeling
TNRCC Sponsor, project coordination, aircraft monitoring, data analysis
EPRI Sponsor, met. and air quality modeling
NOAA Technical management, tracer release, upper air met. & data analysis
DRI Technical management, database, data analysis, emissions inventory, and emissions characterization
BNL Tracer sample analysis
UCD Aerosol monitoring and analysis, tracer sampling
CIRA Aerosol monitoring size and composition special studies at Big Bend
ARS Continuous optical & met. monitoring, photos, special study support
ENSR Independent quality assurance auditors
Mexico Activities
PROFEPA Project management & direction [involvement discontinued during planning phase]
Seasonality and components of haze
Aerosol light extinction:
Sulfate 41%
Organic Carbon19%
Black Carbon 21%
Crustal 16%
Nitrate 4%6
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Transport patterns – late July, late September
SO2 emissions
Distance weighted SO2 emissions
Frequency weighted SO2 emissions
Seasonality of transport to Big Bend
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Summary of Field Study
• 4 month study from July-October• Tracer release near Carbon I/II (Eagle Pass- 3
tracers) and Big Brown first half• Tracer release from Eagle Pass, San Antonio,
W.A. Parish, Big Brown 2nd half• Large particulate and tracer monitoring
network (but none in Mexico)• Additional upper air measurements• Visibility measurements at Big Bend• “Special” studies at Big Bend• Aircraft measurements
BRAVO particulate, SO2, and tracer monitoring network
Tracer Release Equipment
Big Bend Specialized Measurements
Measurements Averaging Period
High time resolution, high sensitivity SO2 1-hour
High time resolution particulate sulfate 12-minutes
High time resolution perfluorocarbon tracer 1-hour
PM2.5 carbonaceous aerosol 24-hour
Carbon speciation (GC/MS) for selected periods 24-hour
Gaseous nitric acid 24-hour
Gaseous ammonia 24-hour
Gaseous hydroperoxides 1-hour
MOUDI size-resolved aerosol ions 24-hour
DRUM size-resolved aerosol elements 1-hour
Various particle size monitors – DMA, OPC, etc. Minutes
Various optical measurements – nephelometers, transmissometers, aetholometers, etc
Minutes
Scanning electron microscopy - selected samples 24-hour
Data Recovery
• Particulate sampling network– Complete deployment delayed ~3 weeks for new
samplers– Otherwise expect high recovery
• Tracer sampling network– Extended period in middle of study with only 6 tracer
sampling sites due to delayed analysis capability– Most extensive tracer study ever done, even
considering periods with only a few sites
• High data recovery for other monitoring (visibility, meteorology, air quality)
Status of Data from Field Study
Tracer release dataSurface and upper air (Radar wind profiler) Light scattering (haze)12-minute Sulfate, hourly SO2 at Big Bend
Photographs at Big BendLimited Big Bend aerosol chemical analysis
Status of Data from Field Study
• Light extinction data – December, 2000
• Complete chemical analysis of particulate data – November, 2000
• Tracer data – January, 2001
• Source profiles – November, 2000
• Emissions – February, 2001
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Hourly Total & Sulfate Extinction Coefficient
Data Analysis Process
• Descriptive analysis – maps and time plots of variables, mean, standard deviation, etc.
• Association analysis – relationships among variable, e.g. correlations, closure
• Representativeness of study period• Attribution analysis- source and receptor
models, etc.• Reconciliation of results• Conceptual model
Attribution Analysis
• Multiple air quality simulation & receptor modeling methods used for attribution
• Tracer data divided into subset for “training” and a sequestered subset for “testing” to evaluate methods’ performance
• Study findings are developed by reconciling results of the various methods
BRAVO MM5 Met. Modeling Domains
36 km
12 km
4 km
Cell Sizes
BRAVO Emissions Inventory Data SourcesU.S. Mexico Off Shore
Point NET & CEM (large sources)
INE for 20 major cities
MMS-MOAD3
Area NET except Texas
TNRCC in Texas
INE for 20 major cities; scaled by population elsewhere
N/A
Mobile NET except Texas
TNRCC in Texas
INE mobile emissions scaled by population
TNRCC & MMS-MOAD3
Biogenic BEIS-2 with land-use data
BEIS-2 with land-use data
N/A
Fire AVHRR, GOES, & TOMS satellite imagery
AVHRR, GOES, & TOMS satellite imagery
N/A
Estimated Schedule
• Always takes longer than planned
• Get all data into database – autumn 2000
• Data analysis and modeling – end of 2001
• Reconciliation of results – March 2002
• Draft Report – May 2002
• Final report July 2002