K. Baumann, M.E. Chang, V. Dookwah, S. Lee, A.G. Russell

Slides:



Advertisements
Similar presentations
STN Carbon Field Blank Analysis, Derived Organic Carbon Analysis and IMPROVE blank corrected artifact analysis Bret Schichtel.
Advertisements

PM 2.5 Carbon Measurements in EPA Region 10 Robert Kotchenruther, Ph.D. NW-AIRQUEST June, 2011.
Source Apportionment of PM 2.5 in the Southeastern US Sangil Lee 1, Yongtao Hu 1, Michael Chang 2, Karsten Baumann 2, Armistead (Ted) Russell 1 1 School.
Chemical Composition of Organic Carbon Fractions Barbara Zielinska.
Atmospheric Aerosol From the Source to the Receptor Insights from the Pittsburgh Supersite Spyros Pandis, Allen Robinson, and Cliff Davidson Department.
Paul Wishinski VT DEC Presentation for: MARAMA-NESCAUM-OTC Regional Haze Workshop August 2-3, 2000 Gorham, New Hampshire LYE BROOK WILDERNESS CLASS I AREA.
Sources of PM 2.5 Carbon in the SE U.S. RPO National Work Group Meeting December 3-4, 2002.
P. D. Hien, V. T. Bac, N. T. H. Thinh Vietnam Atomic Energy Commission.
Carbon Measurements and Adjustments Measurement of organics by IMPROVE & STN networks, Use of blank data to correct carbon concentration measurements,
Section highlights Organic Aerosol and Field Studies.
Three-State Air Quality Study (3SAQS) Three-State Data Warehouse (3SDW) 2008 CAMx Modeling Model Performance Evaluation Summary University of North Carolina.
Organic Carbon and Elemental Carbon in Atlanta Area Chao Wu.
The semi-volatile nature of secondary organic aerosol (SOA) in the Mexico City Metropolitan Area November 2, 2007 EAS Graduate Student Symposium Christopher.
Evaluation of Secondary Organic Aerosols in Atlanta
Title EMEP Unified model Importance of observations for model evaluation Svetlana Tsyro MSC-W / EMEP TFMM workshop, Lillestrøm, 19 October 2010.
Air Quality Impacts from Prescribed Burning Karsten Baumann, PhD. Polly Gustafson.
WORKING GROUP I MONITORING DATA ANALYSIS AND INTERPRETATION TFMM Workshop, Paris, 2006, Nov 29 –Dec 1.
Fossil vs Contemporary Carbon at 12 Rural and Urban Sites in the United States Bret A. Schichtel (NPS) William C. Malm (NPS) Graham Bench (LLNL) Graham.
Li ZHANG, Hong LIAO, and Jianping LI Institute of Atmospheric Physics Chinese Academy of Sciences Impacts of Asian Summer Monsoon on Seasonal and Interannual.
IMPROVE Corrects OC and EC for a Positive Artifact The positive artifact correction causes the organic and elemental carbon to approach zero as fine mass.
Comprehensive Isotopic Composition of Atmospheric Nitrate during CalNex Inferring Sinks and Sources of NO X from Nitrate Stable Isotope Ratios William.
Simulating diurnal changes of speciated particulate matter in Atlanta, Georgia using CMAQ Yongtao Hu, Jaemeen Baek, Bo Yan, Rodney Weber, Sangil Lee, Evan.
Office of Research and Development National Exposure Research Laboratory Atmospheric Modeling Division, Research Triangle Park, NC September 17, 2015 Annmarie.
Is there need to collect routine ammonia/ammonium measurements in ambient air monitoring networks? Perspectives of a Data Analyst from a Small State Air.
Sources and Processes Affecting the Chemical and Physical Properties of Denver Aerosol during DISCOVER-AQ FRAPPÉ/DISCOVER-AQ Science Team Meeting 4 May.
Earth System Sciences, LLC Suggested Analyses of WRAP Drilling Rig Databases Doug Blewitt, CCM 1.
SEASONAL VARIABILITY OF ORGANIC MASS CONTRIBUTION TO PM2.5 WITHIN METRO ATLANTA AND FURTHER DOWNWIND K. Baumann 1, M.E. Chang 1, A.G. Russell 2, E.S. Edgerton.
Daily PM 2.5 : Feb, 2000 – Feb., 2001 Mass: by Partisol FRM Ions: SO4, NO3, NH4, K, Na, Cl, PO4 by IC Elements: by ICP-AES and ICP-MS Carbon by TOT.
Urban vs. Rural Atlanta An assessment of : 1)PM2.5 composition and trends 2)The Atlanta Urban Heat Island Effect.
X. Zhang, J. Liu, E. T. Parker and R. J. Weber
Observations The collection of slope values were plotted against time and box plots show the distribution for each of the six daily trips of the vessel.
Online measurements of chemical composition and size distribution of submicron aerosol particles in east Baltic region Inga Rimšelytė Institute of Physics.
Fine Particle (PM 2.5 ) Composition and Trace Gas Measurements in the Yangtze Delta Region In memoriam Dr. Glen Cass K. Baumann, M.H. Bergin, W.L. Chameides,
Study of Air Quality Impacts Resulting from Prescribed Burning on Military Facilities Karsten Baumann, Mei Zheng, Michael Chang, and Ted Russell.
Atmospheric Particulate Matter: Chemical Composition and Basics of Concentration Estimation Mike Bergin, Ted Russell, Jim Mullholland, Sangil Lee CEE 6319:
The preservation of long-range transported nitrate in snow at Summit, Greenland Jack Dibb 1, Meredith Hastings 2, Dorothy Fibiger 3*, D. Chen 4, L. Gregory.
Source Attribution Modeling to Identify Sources of Regional Haze in Western U.S. Class I Areas Gail Tonnesen, EPA Region 8 Pat Brewer, National Park Service.
Continued improvements of air quality forecasting through emission adjustments using surface and satellite data & Estimating fire emissions: satellite.
PERCH Air Quality Study – PAQS Special thanks to Carl Mohrherr Alan Knowes Staff of OJSES FL-DOH FL-DEP SEARCH Partnership for Environmental Research and.
SEARCH & VISTAS Special Studies RPO National Technical Meeting St. Louis, MO November 5, 2003.
Measurements of Trace Gases and PM 2.5 Mass and Composition near the Ground and at 254 m agl During TexAQS 2000 and Comparison with Other Regions K. Baumann,
March 24, 2004EAS 4/88031 EAS 4/8803: Experimental Methods in AQ Week 11: Air Quality Management (AQM) Clean Air Act (History, Objectives, NAAQS) Emissions.
Source apportionment of submicron organic aerosols at an urban site by linear unmixing of aerosol mass spectra V. A. Lanz 1, M. R. Alfarra 2, U. Baltensperger.
Local Accumulation of PM2
RD Evaluation and Comparison OF Methods to Construct Air Quality Fields for Exposure Assessment haofei yu, jim mulholland, howard chang, ran huang,
Workshop on Air Quality Data Analysis and Interpretation
Source Apportionment of Water Soluble Elements, EC/OC, and BrC by PMF
Chemical histories of pollutant plumes in East Asia:
Performance of CMAQ for Inorganic Aerosol Compounds in Greater Tokyo
Paul Kelley1,2, Winston Luke2, Xinrong Ren1,2
Karsten Baumann, Mei Zheng, Michael Chang, and Ted Russell
Characteristics of Urban Ozone Formation During CAREBEIJING-2007 Experiment Zhen Liu 04/21/09.
PERCH Air Quality Study – PAQS
Karsten Baumann, Mei Zheng, Michael Chang, and Ted Russell
Svetlana Tsyro, David Simpson, Leonor Tarrason
Suggested Analyses of WRAP Drilling Rig Databases
Yongtao Hu, Jaemeen Baek, M. Talat Odman and Armistead G. Russell
Preliminary Results: HONO and HNO3 from the MC/IC.
Case Study for Forest Fire Episode
Continuous measurement of airborne particles and gases
Georgia Institute of Technology
A Review of Time Integrated PM2.5 Monitoring Data in the United States
WRAP Modeling Forum, San Diego
New Approaches to Air Measurements in AOSR
Time-Integrated Particle Measurements : Status in Canada
Uncertainties in atmospheric observations
RECEPTOR MODELLING OF AIRBORNE PARTICULATE MATTER
S. SAUVAGE, V. RIFFAULT, A. SETYAN, V. CRENN (Mines Douai)
Measurement Needs for AQ Models
Svetlana Tsyro, David Simpson, Leonor Tarrason
Presentation transcript:

ASSESSING ORGANIC MASS FROM MASS CLOSURE: COMPARING ATLANTA ‘99 WITH ESP’01 AND ‘02. K. Baumann, M.E. Chang, V. Dookwah, S. Lee, A.G. Russell School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta Acknowledgement: E. Edgerton, ARA Inc., M. Bergin, H. Park, K. Patel, L. Sun, R. Weber, W. Younger, all GA Tech Funding provided by US-EPA and GA-EPD Motivation & Instrumentation Site Locations, Met and Gas Characteristics Estimate Photochemical Activity Link to Changing Organic Mass

Derived OM/OC from Mass Closure for Urban / Rural Sites Regional Difference: Higher OM/OC and OC/EC at more rural site! Seasonal Difference: Lower OM/OC and higher (?) OC/EC in winter. WHY??

Particle Composition Monitor “PCM” For each PCM sample 17 (!) components (incl. 5 field blanks) are being analyzed via IC & TOT. The following species are being quantified and reported. Channel 1: NH3 Na+, K+, NH4+, Ca+2 Channel 2: HF, HCl, HONO, HNO3, SO2, HCOOH, CH3COOH, (COOH)2 F-, Cl-, NO3-, SO4=, HCOO-, CH3COO-, C2O4= Channel 3: EC, OC, “SVOC” Special tests and procedures for eliminating positive water bias, OC artifacts and other details described in paper accepted to JGR “Atlanta Supersite” special section, coming out soon…

Sites Locations and Measurements in Georgia Name Period Met CO SO2 NO NOx NOy O3 PM2.5 Atlanta JST 08/99 X XX Atlanta TUC Since 03/99 Atlanta FTM Atlanta SDK Griffin Since 06/01 (X) Macon Since 06/00 Columbus Since 07/00 Augusta Tifton Since 07/01 Atlanta Supersite (Solomon) ASACA (Russell) FAQS (Chang)

Site Locations and PM2.5 Wind Roses: Summer / Winter

Summertime PM2.5 – Max(O3) Relationship Tighter correlation in July 2001. “Downwind” Griffin site offset to higher PM2.5 mass. What was different in August 1999?

Comparison of Average Diurnal Meteorological Conditions

Comparison of Average Diurnal Trace Gas Concentrations

Comparison of Average Diurnal Photochemical Products

Summary of Met and Trace Gas Comparison August 1999 in Atlanta was… Hotter, dryer, more polluted with precursor species, incl. NH3! How can this, in addition to higher [O3] and [PM2.5], lead to the observed differences, suggesting more OC (SOA?) in Aug’99 and more oxygenated POCs away from Atlanta?

Source – Receptor Considerations: CO/NOy Air mass arriving at Griffin has significantly higher CO/NOy ratio in summer than in winter: Loss of more abundant summertime HNO3 due to surface deposition! Griffin downwind Atlanta JST Higher intercept points to elevated regional background CO! Long-range transport of wild fires’ plumes (see SOS’95)? Or other high-CO/low-NOx sources?

Source – Receptor Considerations: O3/NOz as “OPE” Atlanta JST Griffin downwind Elevated regional O3 background reflected in regression’s intercept: higher in Aug 99! At JST higher intercept and slope during Aug ’99 (OPE= 4 vs 3): more efficient P(O3). OPE in air mass arriving at Griffin is likely larger given by upper and lower limits. Lower limit assumes 1st order loss of HNO3 due to surface deposition at k ≈ 0.22 h-1.

Summary Photochemical processes leading to high ozone levels also lead to high PM fine. Elevated levels of primary pollutants (CO, NOx, SO2 and NH3) under hot and relatively dry conditions responsible for high PM fine mass concentrations during August 1999. Possible regional impact from distant wild fires (similar to 1995?) causing high OC/EC and elevated background CO in August 1999?! As the Atlanta urban plume is advected over BHC-rich terrain, it transitions to a more NOx-limited regime, i.e. with greater RO2 abundance, indicated by an increasing OPE. This transition bears great potential for the formation of SOA and more oxygenated POC, explaining the observed increase in OM/OC downwind from Atlanta. Subset of Jul’01 and Jan’02 Griffin samples show 65 vs 55 ±5 % WSOC fraction. No biomass burn ban in winter causing a shift to higher OC/ECp Outlook Investigate influence from distant plumes of wild fires in August ’99. Quantify SOA by careful determination of (OC/EC)p. Detailed analyses of selected days/episodes for OPE and WSOC. Air quality impacts of biomass burning (in collab w/ M. Zheng).

Supplementary Material

Assessing Accuracy of PCM Measurements S-compounds and mass agree well, volatile species esp. NO3- more difficult to measure accurately

PCM

OM/OC Estimates With & Without “SVOC”   OM/OC for closure OM/OC {svoc} for closure AVG STD August-99 Atlanta 2.1 0.7 1.5 0.3 Summer-00 Macon 2.5 0.6 1.7 0.1 Augusta 3.4 Columbus 2.0 0.5 1.6 LaPorte 3.5 3.8 2.3 2.6 W.Tower 3.2 2.4 July-01 Atlanta JST 1.2 Atlanta TUC - Atlanta FTM 1.0 Griffin 2.7 Dec-01 1.1 0.9 Jan-02 1.8 0.8

Seasonal and Regional Differences in Composition

Seasonal and Regional Differences in OC/EC

Seasonal/Regional Aerosol Acidity Based on [SO4=/NO3-/NH4+] Aerosol is closely neutralized / slightly alkaline in winter but more acidic in summer Acidity caused by insufficient NH3, or unaccounted for organic amines (with higher OM/OC)?

From CO/NOy regressions JST vs GRF: NOyinit = 31/9 *NOy NOylost = NOyinit - NOy = NOyinit*(1-9/31) = 0.71*NOyinit Assume 1st order loss: NOyinit = NOy / exp(-kt) Assume 2.5 m/s N-ly flow throughout CBL: Then t = 5.6 h And k = 0.22 h-1