Organics Analyses and Results

Slides:



Advertisements
Similar presentations
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.
Advertisements

PM fine Quantification Ron Myers OAQPS/SPPD/MPG 1/30/2013 Perceptions about Ammonia Slip, Acid Gases, Condensable Particulate Matter and Applicable Test.
Direct PM 2.5 Emissions Data, Testing, and Monitoring Issues Ron Myers Measurement Policy Group SPPD, OAQPS.
Sources of PM 2.5 Carbon in the SE U.S. RPO National Work Group Meeting December 3-4, 2002.
Carbon Measurements and Adjustments Measurement of organics by IMPROVE & STN networks, Use of blank data to correct carbon concentration measurements,
RECEPTOR MODELLING OF UK ATMOSPHERIC AEROSOL Roy M. Harrison University of Birmingham and National Centre for Atmospheric Science.
Fossil and modern sources of aerosol carbon in the Netherlands – A year-long radiocarbon study Fossil and modern sources of aerosol carbon in the Netherlands.
Evaluation of Secondary Organic Aerosols in Atlanta
What is Particulate Matter ?? Particulate matter (PM) is: A mixture of particles found in the air, including dust, dirt, soot, smoke, and liquid droplets.
Fine Particle Characterisation and Source Apportionment in Manila and Hanoi from Using Nuclear Techniques David Cohen ANSTO, Australia.
Arifa Lodhi and Badar Ghauri Pakistan Space And Upper Atmosphere Research Commission (SUPPARCO), P. O. Box 8402, University Road, Karachi-75270, Pakistan.
AIR POLLUTION - CONTINUED. The Clean Air Act requires EPA to set standards for 6 “criteria” air pollutants. We have talked about two - particulates and.
J. Zhou 1, X. Zhu 1, T. Wang 1, and X. Zhang 2 J. Zhou 1, X. Zhu 1, T. Wang 1, and X. Zhang 2 1 College of Resources and Information Tech., China University.
Air Quality Impact Analysis 1.Establish a relationship between emissions and air quality. AQ past = a EM past + b 2.A change in emissions results in an.
Angeliki Karanasiou Source apportionment of particulate matter in urban aerosol Institute of Nuclear Technology and Radiation Protection, Environmental.
Results of Ambient Air Analyses in Support of Transport Rule Presentation for RPO Workshop November 2003.
Air What causes air pollution? Chapter 12 Section 1.
Nez Perce Tribe Woodstove Study & Changeout Johna Boulafentis Environmental Outreach Specialist Environmental Restoration and Waste Management.
Did the recession impact recent decreases in observed sulfate concentrations? Shao-Hang Chu, US EPA/OAQPS/AQAD October, 2011.
Clinton MacDonald 1, Kenneth Craig 1, Jennifer DeWinter 1, Adam Pasch 1, Brigette Tollstrup 2, and Aleta Kennard 2 1 Sonoma Technology, Inc., Petaluma,
Low-Wind/High Particulate Matter Episodes in the Calexico/Mexicali Region 1 The University of Utah 2 Universidad Autónoma de Baja California 3 San Diego.
Air Resources Board California Environmental Protection Agency Air Quality Effects of Trap-Related Emissions John DaMassa April 18, 2002 Originally Presented.
MRPO Nitrate and Organic Speciation Special Studies Donna Kenski National RPO Technical Meeting Dallas, Dec. 3-4, 2002.
What Causes Air Pollution /08. Air 78% Nitrogen 20 % Oxygen Carbon Dioxide, Argon and water vapor.
Diesel Emissions Regulation and Control Impact of ARB Regulation.
Model Evaluation Comparing Model Output to Ambient Data Christian Seigneur AER San Ramon, California.
Identification of Transportation Contributions to Urban PM Levels AQRB Mid-Term Review 2004 J.R. Brook + many contributors MSC.
Sustainable Air Quality Michael Roberts February 4, 2002.
Regional Air Quality Modeling Results for Elemental and Organic Carbon John Vimont, National Park Service WRAP Fire, Carbon, and Dust Workshop Sacramento,
Measurable Outcomes of a Woodstove Changeout on the Nez Perce Reservation Tuiaana Moliga – Student Intern for Nez Perce Tribe’s Environmental Restoration.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division 16 October 2012 Integrating source.
Sulfur and Nitrogen Emission Trends for the U.S. By: Brian Ponczak January 31, 2002 Sustainable Air Quality.
NPS Source Attribution Modeling Deterministic Models Dispersion or deterministic models Receptor Models Analysis of Spatial & Temporal Patterns Back Trajectory.
Organo-Sulfur and Receptor Modeling Status/Challenges Christopher Palmer Department of Chemistry and Biochemistry.
June 15, 2011 Bob Dulla Sierra Research. Fairbanks PM 2.5 Design Values* ( ) * 98 th Percentile Concentrations 2.
Sierra’s Role  Guidance/advice to OMNI on technical issues and documentation for final report  Supplemental quality assurance (after testing)  Specific.
Using Aethalometer Data to Examine Ambient Particulate Matter Sources: Fairbanks, AK Jay Turner Washington University in St. Louis June 15, 2010 Photo.
Fairbanks PM 2.5 Source Apportionment Using the Chemical Mass Balance (CMB) Model Tony Ward, Ph.D. The University of Montana Center for Environmental Health.
CHARACTERIZING IMPACTS OF WILD AND PRESCRIBED FIRES ON AMBIENT FINE PARTICLE CONCENTRATIONS CSU Atmospheric Science Department National Park Service/CIRA.
Fairbanks PM 2.5 Source Apportionment Using the Chemical Mass Balance (CMB) Model Tony Ward, Ph.D. The University of Montana Center for Environmental Health.
GOVERNMENT ENGINEERING COLLEGE, BHARUCH Chemical Engineering Department Sem-III Subject : Process calculation Topic : Type of Fuels.
ANLEC R&D COMMUNICATION PACK ( ). Trace emissions from Oxy Combustions do not pose significantly higher health, environmental or operational.
Workshop on Air Quality Data Analysis and Interpretation Evaluation of Emission Inventory.
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.
Dr. James Conner Fairbanks North Star Borough November 8, 2012 Dr. James Conner Fairbanks North Star Borough November 8, 2012.
The 13 th Northeast Asian Conference on Environmental Cooperation (20-22 December 2004, Seoul, Korea)
Atlanta’s Emissions Affecting its surroundings
National Wildlife Refuge
Cooking/heating stoves; Global and regional perspective, data gaps and other challenges Z. Klimont Summit on Black Carbon and Other.
Air Pollution and Stratospheric Ozone Depletion
Nez Perce Tribe Woodstove Study & Change Out
Sources of the PM10 aerosol in Flanders, Belgium, and re-evaluation of the contribution from wood burning Willy Maenhaut1,2, Reinhilde Vermeylen2, Magda.
Beneficial Use of Contaminated Sediment
Combustor for Jet Engines
What’s in Our Air? Sulfur Oxides
Dr. Tanveer Iqbal Associate Professor,
Aerosol chemistry studies at the SMEARIII station in Kumpula
Review of Important PM2.5 Source Categories
Svetlana Tsyro, David Simpson, Leonor Tarrason
EAC 2017, Zürich, Switzerland
Brief Synopsis of Air Quality and Local/Regional Meteorology
Wenche Aas and Karl Espen Yttri (EMEP/CCC)
Alexey Gusev, Victor Shatalov, Olga Rozovskaya, Nadejda Vulyh
ACTRIS Aerosol Chemical Speciation Monitor (ACSM) Network and new filter off-line techniques to measure PM chemical composition and determine organic aerosol.
New Approaches to Air Measurements in AOSR
Comparison of Nonrenewable Energy Fuels
U.S. Perspective on Particulate Matter and Ozone
Longer Term Aerosol Chemical speciation monitoring data during ACTRIS/EMEP activities ACSM Teams across Europe Many slides from Michael Bressi, JRC Italy.
JDS International seminar 2018
Svetlana Tsyro, David Simpson, Leonor Tarrason
Presentation transcript:

Organics Analyses and Results Chris Palmer Department of Chemistry and Biochemistry

Organic Components of PM2.5 Combustion and pyrolysis products e.g. Levoglucosan - wood combustion Information rich Several source profiles available Autos, diesel, coal, etc. Not necessarily consistent Specific markers

Levoglucosan Analyses Total of 229 filters from four sites over 2 seasons (08-09 and 09-10) Levoglucosan is a well recognized marker for wood combustion

Ambient Levoglucosan

Levoglucosan Fraction 60-70 50-60

Levoglucosan Results

Levoglucosan Results

Sulfate Secondary sulfate is 10-20% of PM2.5 mass CMB does not identify a source for SO4 Woodsmoke (residential wood burning) 50% to 80% of PM2.5 mass Libby study shows relatively low sulfate What are other possible sources? Diesel transportation (low sulfur diesel) Residential oil burners Coal combustion

Organics Analysis Originally 8 samples (and one blank) from State Building Nov. 09 – Feb 10 16-54 μg/m3 PM2.5 Additional 25 samples (and one blank) analyzed Samples recommended by Robert Crawford (met data) 3.1-43.7 μg/m3 PM2.5 11/09 – 3/10 Omni Samples for fossil fuel burners sent for analysis DRI Analyses Hopanes and Steranes – 23 compounds representative of fossil fuel combustion: Original 8 filters plus OMNI samples PAHs – 94 compounds representative of combustion processes PAH analysis includes sulfur compounds dibenzothiophene and benzonaphthothiophene

Hopanes and Steranes Present in Fairbanks PM2.5 at relatively high levels Very high compared with coal profiles Typical to high compared with diesel vehicle profile Indicates a contribution from fossil fuel sources Not specific to any individual source Omni results indicate high levels from certain coal combustion systems relative to residential oil Analysis of these results not complete

Dibenzothiophene Concentration in fuels (ppm) Dibenzothiophene (ppm) Fuel #1 15.5 Fuel #2 441 Waste Fuel 11.5 LSDF* 15.2 HSDF* 84.0 Not detected in Fairbanks coal

Thiophenes Fraction of PM2.5 (ppm) Recent results show much lower, but still significant, levels of thiophenes

Thiophenes Ambient Concentration (ng/m3) Saarnio study 11-30 ug/m3 PM2.5

Omni Results Neither thiophene detected in single experiments with fuel oils and waste oil Both thiophenes found in coal PM, but at much lower levels (1/100) than PAHs Inconsistent ratio of DBT/BNT (temperature?)

Thiophenes Summary Relatively high levels in Fairbanks PM, ambient air, and #2 fuel oil Implication that residential oil burners burning #2 fuel oil contribute to PM2.5 Thiophenes not detected in OMNI fuel oil studies Little or no data located on thiophenes in coal or coal combustion emissions. OMNI studies show low but detectable levels Fairbanks thiophene levels can not be explained by coal Do power plants supplement coal with #2 fuel oil? Are Omni studies representative of Fairbanks conditions?

Picene PAH marker for coal combustion emissions “unique to the organic carbon emissions from coal combustion” (Zhang) Relatively high concentrations from small residential burners (China) Typically low concentrations from commercial boilers Conflicting published data Coal type is significant

Picene in Omni Studies Not detected in fuel oil emissions Detected at significant levels in most coal emissions

Picene Picene detected 31 of 33 Fairbanks samples Median 27.6 ppm, Maximum 69.3 ppm Results consistent between original and recent samples Zhang study in China 0-3.7 ppm from industrial boilers 72-284 ppm from residential burners Ambient levoglucosan decreased by 50% Levo

Picene Ambient concentration (ng/m3) Dehydroabietic acid increased by 51% during the first year of the changeout, and then returned to pre-changeout levels in the second year of the study Abietic acid increased by 35% over the entire study period Both resin acids did not consistently increase during the study Mingo Junction: 3.3 μg OC/m3; 3 to 10% of OC from coal combustion Faribanks averages ~12-15 μg OC/m3

Coal Analysis Fairbanks Coal ICP AES analysis for 30 elements Sulfur Content 1000-1200 ppm Arsenic, Strontium, etc. included No thiophenes detected

Retene Typically associated with wood smoke but also reported in coal combustion emissions Fairbanks PM Retene to Picene ratio 1.5 ± 0.5 Fairbanks levels similar to those reported for commercial coal boilers Omni results show signficant retene levels in coal emissions Retene to Picene ratio 0.03-0.4

Other PAHs Omni results for coal stoves 0.44 ± 0.02 Ratio of indeno[123-cd]pyrene to indeno[123-cd]pyrene + benzo[ghi]perylene Omni results for coal stoves 0.44 ± 0.02 Source IP/(IP+BghiP) Gasoline autos 0.18 Diesel autos 0.37 Coal combustion 0.56 Wood combustion 0.54 Fairbanks PM2.5 0.32 ± 0.07

Summary Levoglucosan continues to show relatively consistent >60% WS contribution Sulfur levels in coal and #2 fuel oil suggest these as sources Organic speciation results indicate substantial contributions from fossil fuel combustion Picene results strongly implicate coal combustion Suboptimal conditions: Residential burners give high picene Approximately 10% of OC could be from commercial coal burners Thiophene results may implicate fuel oil #2 but coal combustion may well contribute Ratio indicators implicate coal and wood combustion, mixed with residential oil or transportation sources

Further Study Reliable organic speciation for representative Fairbanks sources Study and comparison of OMNI PAH and Hopane/Sterane patterns to Fairbanks PM Preliminary efforts reveal no pattern similarities More volatile PAH are not present in Omni samples Correlation with Meteorological Parameters