Organic Carbon and Elemental Carbon in Atlanta Area Chao Wu.

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

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.

Sources of PM 2.5 Carbon in the SE U.S. RPO National Work Group Meeting December 3-4, 2002.

Model used in « Source Apportionment of Airborne Particulate Matter in the UK » [Stedman et al., Receptor modelling of PM 10 concentrations at a UK national.

Carbon Isotopic Compositions of PM: Constraints on their Emission Sources and Formation Process For AQRB Branch Mid-Term Review (Oct , 2004) Environment.

A Project to Characterize The Effects of Transient Air Pollutants on the Health of African-Americans in Atlanta, Georgia John H. Hall Morehouse College.

1 Recent PM 2.5 Trends in Georgia André J. Butler Mercer University EVE 290L 14 April, 2008.

Introduction & Outline Particulate Measurement 1) PM10 – Particulate Matter < 10 microns 2) PM2.5 – Particulate Matter < 2.5 microns - Measured with different.

Section highlights Organic Aerosol and Field Studies.

Source apportionment of Swiss carbonaceous aerosols using radiocarbon analyses of different fractions References: S. Szidat et al., 2007: Dominant impact.

Evaluation of Secondary Organic Aerosols in Atlanta

PM in Sweden HC Hansson and Christer Johansson ITM, Stockholm University.

Prakash V. Bhave, Ph.D. Physical Scientist EMEP Workshop – PM Measurement & Modeling April 22, 2004 Measurement Needs for Evaluating Model Calculations.

Source apportionment of the carbonaceous aerosol – Quantitative estimates based on 14 C- and organic tracer analysis 1.Norwegian Institute for Air Research.

Air Quality Impacts from Prescribed Burning Karsten Baumann, PhD. Polly Gustafson.

SECONDARY ORGANIC AEROSOLS WORKSHOP OVERVIEW John G. Watson Desert Research Institute, Reno, NV February 5, 2002.

1 Source apportionment of PM in the PCM model John Stedman 23 April 2010.

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.

1 A Fractional AOD Approach to Derive PM2.5 Information Using MISR Data Coupled with GEOS-CHEM Aerosol Simulation Results Yang Liu, Ralph Kahn, Solene.

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.

The Contribution of Marine Organic Emissions to Coastal Air Quality Brett Gantt Advisor: Nicholas Meskhidze Co-Author: Annmarie Carlton (EPA) North Carolina.

Maps of PM2.5 over the U.S. Derived from Regional PM2.5 and Surrogate Visibility and PM10 Monitoring Data Stefan R. Falke and Rudolf B. Husar Center for.

Diurnal cycle of fossil and non-fossil total carbon using 14 C analyses during CalNex P. Zotter 1, A.S.H. Prévôt 1, Y. Zhang 2, S. Szidat 2, X. Zhang 3,

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.

Simulating diurnal changes of speciated particulate matter in Atlanta, Georgia using CMAQ Yongtao Hu, Jaemeen Baek, Bo Yan, Rodney Weber, Sangil Lee, Evan.

Temporal and Spatial Variations of PM2.5 Mass in Georgia Xiaolu Zhang EAS 6410 Spring 2007.

Angeliki Karanasiou Source apportionment of particulate matter in urban aerosol Institute of Nuclear Technology and Radiation Protection, Environmental.

Preparation of Fine Particulate Emissions Inventories Lesson 1 Introduction to Fine Particles (PM 2.5 )

Sources and Processes Affecting the Chemical and Physical Properties of Denver Aerosol during DISCOVER-AQ FRAPPÉ/DISCOVER-AQ Science Team Meeting 4 May.

2. Method Aerosol physical and chemical properties were measured in two sites in Amazonia since January The clean site is at central Amazonia and.

25/05/20071 About comparability of measured and modeled metrics Jean-Philippe Putaud Fabrizia Cavalli DG JRC Institute for Environment and Sustainability.

Sensitivity of top-down correction of 2004 black carbon emissions inventory in the United States to rural-sites versus urban-sites observational networks.

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.

1 β Attenuation Method PM10/2.5 Automated Dichotomous Monitor SPM-613D β Attenuation Method PM10/2.5 Automated Dichotomous Monitor Model SPM-613D ■SPM.

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

Online measurements of chemical composition and size distribution of submicron aerosol particles in east Baltic region Inga Rimšelytė Institute of Physics.

Atmospheric Particulate Matter: Chemical Composition and Basics of Concentration Estimation Mike Bergin, Ted Russell, Jim Mullholland, Sangil Lee CEE 6319:

Identification of Transportation Contributions to Urban PM Levels AQRB Mid-Term Review 2004 J.R. Brook + many contributors MSC.

1 University of California, Davis, CA.

Study of ambient air particulates pollutants near Taichung airport sampling site in central Taiwan Journal of Hazardous Materials 144 (2007) 492–498 Student.

SEARCH & VISTAS Special Studies RPO National Technical Meeting St. Louis, MO November 5, 2003.

Evolution of Atmospheric Aerosols Along Trajectories Crossing the Los Angeles Basin February 15, 2001 Lara H. Gertler (UC-Riverside) Jonathan O. Allen.

CHEMISTRY OF AEROSOLS Analyzing the composition of aerosols collected on Mt. Pico Photo: L. Harkness.

Georgia Tech Georgia Power Environmental Engineering Fellows at (and beyond) Georgia Tech.

Particulate Matter and its Sources in Georgia Sangil Lee.

Introduction Instruments designed and fabricated at the Desert Research Institute, Reno Emphasis on the Integrating Nephelometer for scattering measurements.

Office of Research and Development National Risk Management Research Laboratory, Air Pollution Prevention and Control Division Photo image area measures.

Correlations between DTT Activity and PM Constituents Wing Tuet April

Novel Sampling Techniques for Measurement of Turbine Engine Total Particulate Matter Emissions Office of Research and Development National Risk Management.

Results and discussion Ground based characterization of biomass burning aerosols during the South American Biomass Burning Analysis (SAMBBA) ﬁeld experiment.

Source Apportionment of Water Soluble Elements, EC/OC, and BrC by PMF

Hybrid Plume/Grid Modeling for the Allegheny County PM2.5 SIPs

Aerosol chemistry studies at the SMEARIII station in Kumpula

Review of Important PM2.5 Source Categories

Svetlana Tsyro, David Simpson, Leonor Tarrason

Introduction to Tisch Instruments

Simulation of Ozone and PM in Southern Taiwan

Source identification of aerosols in Mexico City

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

A Review of Time Integrated PM2.5 Monitoring Data in the United States

On-going developments of SinG: particles

Status of data from EMEP intensive period 2008/2009

About comparability of measured and modeled metrics

Continuous Carbon and NHy Measurements

Challenges with Integrated Measurements of OC and BC (or EC)

RECEPTOR MODELLING OF AIRBORNE PARTICULATE MATTER

EC/OC – monitoring within EMEP

Svetlana Tsyro, David Simpson, Leonor Tarrason

Presentation transcript:

Organic Carbon and Elemental Carbon in Atlanta Area Chao Wu

Overview Introduction Method Results Conclusion

Introduction Particulate Matter (human health, climate) Carbonaceous particles are the most important constituents of the fine fraction of PM. (PM 2.5) Carbonaceous particles  organic carbon (OC) (Primary OC, Secondary OC)  elemental carbon (EC)

Method Sites Atlanta Georgia Tech 4. YRK: Rural site 1.RS: aside of I-75/85 2. GIT: 400m from road site Rooftop of EST building 3. JST: ATL central site 2300m from road site

Instrument Sampling: Particle Composition Monitor (PCM) Analysis: Lab OC-EC Aerosol Analyzer (Sunset Inc) thermal-optical method

Determine OCsec (SOA) Gaussian Plume for Continuous Line Source σ y: Pasquill-Gifford coefficients, Atmospheric Chem&Phys

Results YRK vs JST Jun 5 -Jul 18

GIT vs JST Jul 23 -Aug 30 RS vs JST Sep

Use GIT observation data to calculate the JST’s concentration. C(x,y) ~(1/ σ y)*exp(-y^2/2/ σ y^2)

GIT, JST & JST Gauss

Conclusion OC is much higher in rural area (YRK) than in urban area (JST), SOA contributes most to this difference. Highway emission contributes a lot to EC, but not much to OC. When using Gaussian Plume to calculate the spatial distribution, it is found that local source can’t be neglected at JST.

Thanks!