FINE PARTICLE EMISSION PROFILE FOR ROAD DUST IN PITTSBURGH, PENNSYLVANIA



Similar documents
Source Apportionment Strategies for Atmospheric Particulate Matter in Mega-Cities

E T µ (PAHs), 2006.

Data Analysis and Validation Support for PM2.5 Chemical Speciation Networks- #82

Technical Report No.: B. Rev. 00 Dated Parts of Ceiling Lamp and Parts of Spot Lamp

Holcim EMR List of EN Standards and VDI Guidelines usable for Discontinuous Measurements in Cement Plants

Chem 115 POGIL Worksheet - Week 4 Moles & Stoichiometry Answers

Test Report No. PAL e/sac Altenberge, Test of glassware. Sample Entry: (re-test material)

Chem 115 POGIL Worksheet - Week 4 Moles & Stoichiometry

CLASS TEST GRADE 11. PHYSICAL SCIENCES: CHEMISTRY Test 6: Chemical change

EXPERIMENT 4 The Periodic Table - Atoms and Elements

B I N G O B I N G O. Hf Cd Na Nb Lr. I Fl Fr Mo Si. Ho Bi Ce Eu Ac. Md Co P Pa Tc. Uut Rh K N. Sb At Md H. Bh Cm H Bi Es. Mo Uus Lu P F.

Reference Materials for Environmental Performance Testing Dr Steve Wood Head of Regulatory and Legislative Services. ISPRA 25 June 2009

APPENDIX L META ENVIRONMENTAL FORENSIC REPORTS

What are the causes of air Pollution

Chapter 8 - Chemical Equations and Reactions

AN OVERVIEW OF PM 2.5 CHEMICAL SPECIATION NATIONWIDE NETWORK PROGRAM IN THE UNITED STATES

B) atomic number C) both the solid and the liquid phase D) Au C) Sn, Si, C A) metal C) O, S, Se C) In D) tin D) methane D) bismuth B) Group 2 metal

Sensitive and Rapid Determination of Polycyclic Aromatic Hydrocarbons in Tap Water

Alternative to Fossil Fuel

APPENDIX B: EXERCISES

EXPERIMENT 8: Activity Series (Single Displacement Reactions)

SITE ASSESSMENT FOR PROPOSED COKE POINT DREDGED MATERIAL CONTAINMENT FACILITY AT SPARROWS POINT BALTIMORE COUNTY, MARYLAND ATTACHMENT IV

47374_04_p25-32.qxd 2/9/07 7:50 AM Page Atoms and Elements

Find a pair of elements in the periodic table with atomic numbers less than 20 that are an exception to the original periodic law.

Balancing Reaction Equations Oxidation State Reduction-oxidation Reactions

Neutralization of Acid Mine Drainage Using Stabilized Flue Gas Desulfurization Material

Sludge Treatment Facility Stack Gas Monitoring Report February 2016

SCP SCIENCE Certified Reference Materials. Materials

Environmental Forensics

H 2 + O 2 H 2 O. - Note there is not enough hydrogen to react with oxygen - It is necessary to balance equation.

Distribution of Chemical Elements In Urban Sediments in Slovenia (Extended Abstract)

Electronegativity and Polarity

Near Real-time Monitoring of Diesel Exhaust Particulate (DEP)

MILESTONE CLEAN CHEMISTRY LINE DUOPUR TRACECLEAN ULTRA-TRACE INSERTS. A Breakthrough in Reduction and Control of the Analytical Blank MILESTONE

Emissions estimate from forest fires: methodology, software and European case studies

All answers must use the correct number of significant figures, and must show units!

Highway Runoff in Ireland and Management with a French Drain System

100% ionic compounds do not exist but predominantly ionic compounds are formed when metals combine with non-metals.

Annual Report on the Air Resources Board s Fine Particulate Matter Monitoring Program

3. What would you predict for the intensity and binding energy for the 3p orbital for that of sulfur?

Sampling and preparation of heterogeneous waste fuels?

Chemistry CP Unit 2 Atomic Structure and Electron Configuration. Learning Targets (Your exam at the end of Unit 2 will assess the following:)

Umur Kırtasiye San. ve Tic. AŞ. Neslihan Sözer Chemical Laboratory Manager

Revealing the costs of air pollution from industrial facilities in Europe a summary for policymakers

Chemical Proportions in Compounds

= 11.0 g (assuming 100 washers is exact).

APPENDIX C. DATA VALIDATION REPORT

Nomenclature and Formulas of Ionic Compounds. Section I: Writing the Name from the Formula

Name period AP chemistry Unit 2 worksheet Practice problems

ELECTRON CONFIGURATION (SHORT FORM) # of electrons in the subshell. valence electrons Valence electrons have the largest value for "n"!

* TEST REPOR. TETAŞ Đç Ve Dış Ticaret A.Ş. Page 1 of 26 APPLICANT NAME

Chemistry Diagnostic Questions

WASTE STREAM 2Y51 Analytical Services Process Facilities - North Labs

* TEST REPOR. TETAŞ Đç Ve Dış Ticaret A.Ş. Page 1 of 19 APPLICANT NAME

Methods for the preparation of the test sample from the laboratory sample (Part 1 Material & Methods) Work Package 6 Task 6.4

From Quantum to Matter 2006

NFR: 2.D.3.c Asphalt roofing SNAP: Asphalt roofing materials ISIC: Version Guidebook 2013

EXPERIMENT 7 Reaction Stoichiometry and Percent Yield

Portable X-ray fluorescence Spectroscopy. Michael A. Wilson Research Soil Scientist USDA-NRCS National Soil Survey Center Lincoln, NE

Dinamica degli inquinanti

NISTIR September 2011

The laboratory fulfils the requirements for periodic emission measurement according to ČSN P CEN/TS 15675:2009

Lecture 35: Atmosphere in Furnaces

INTI COLLEGE MALAYSIA A? LEVEL PROGRAMME CHM 111: CHEMISTRY MOCK EXAMINATION: DECEMBER 2000 SESSION m/e

Safety Data Sheet Aluminium profiles Apply for alloys Sapa EN AW 6060, 6063, 6005, 6005A, 6082, yellow chromated, with or without powder coating.

One sample of Lineplus Powerline 2300 Highlighter (Orange-Blue-Yellow-Green-Pink) BUYER :

Sample Exercise 2.1 Illustrating the Size of an Atom

Nomenclature of Ionic Compounds

Calculation of Molar Masses. Molar Mass. Solutions. Solutions

ATTAINMENT PROJECTIONS

RECEPTOR MODELS FOR PARTICULATE MATTER MANAGEMENT. K. Eleftheriadis N.C.S.R. Demokritos

Real-Time DPM Ambient Monitoring in Underground Mines

Name Date Class CHAPTER 1 REVIEW. Answer the following questions in the space provided.

measured (empirical) data from CCC. The modelled values are of value for all (ecosystem specific modelling work deposition)

Multiple Choice Identify the letter of the choice that best completes the statement or answers the question.

Standard Operation Procedure. Elemental Analysis of Solution samples with Inductively Coupled Plasma Mass Spectrometry

Particulate matter sources in Helsinki area and effects on air quality - an overview

Biomass Pollution Basics

German proposal for the restriction of PAHs in consumer products

IB Chemistry. DP Chemistry Review

Wipe Analysis to Determine Metal Contamination on Critical Surfaces

Chemical Composition Review Mole Calculations Percent Composition. Copyright Cengage Learning. All rights reserved. 8 1

Lecture 5. elements (Figure 1). In addition, there are many ways of classifying trace elements.

UNIT (2) ATOMS AND ELEMENTS

CHEMICAL FORMULAS AND FORMULA WEIGHT CALCULATIONS

Transcription:

17PB-1 FINE PARTICLE EMISSION PROFILE FOR ROAD DUST IN PITTSBURGH, PENNSYLVANIA ALLEN L. ROBINSON*, Eric M. Lipsky, Natalie Pekney, Leonard Lucas, David Wynne Carnegie Mellon University, Pittsburgh, PA Wolfgang F. Rogge, Anna Bernado-Bricker, Orhan Sevimoglu Florida International University, Miami, FL Presented at AAAR Specialty Conference: Particulate Matter, Supersites Program & Related Studies February 7-11, 2005, Atlanta GA. *alr@andrew.cmu.edu

Introduction Source receptor modeling using the Chemical Mass Balance (CMB) model requires source fingerprints. To better understand the sources of fine particulate matter in Pittsburgh region, PM 2.5 fingerprints were developed for urban and rural road dust. Samples were analyzed for OC/EC, elemental composition, and organic species. An important contribution of this work is the development of the first road dust finger print with speciated organics information outside of the Los Angeles basin.

Road Dust Collection Sampling Locations Sampling Locations Road dust samples were collected from 5 rural and 6 urban/suburban sites using a vacuum sampler constructed out of Teflon and stainless steel. Samples were dried in an oven at 100 C and then passed through a 37 µm sieve to remove large particles. The samples were combined to create a composite urban and rural dust sample. Samples were collected in the summer of 2003. Road dust collection at a rural site.

Road dust re-suspension and analysis HEPA and activated carbon cleaned air Glass Vessel Teflon filter for mass and elements Teflon filter for mass and ions Quartz filter for OC/EC Quartz filter for Organic Speciation To collect PM 2.5 filter samples, the sieved road dust was re-suspended in a a glass vessel using HEPA and activated carbon cleaned air. Filter samples were analyzed for: PM 2.5 mass via gravimetric analysis OC & EC: Thermal-Optical with Sunset Instrument and NIOSH protocol Elemental composition: Acid digestion followed by ICP-MS Organic Speciation: Solvent extraction followed by GC-MS Multiple samples were collected and analyzed for each dust sample to verify measurement repeatability. PM 2.5 cyclone Figure 1. Schematic of Sampling System

Elemental Composition Percent Percent PM2.5 Mass PM2.5 Mass 17.5% 0.5% 15.0% 12.5% 0.4% 10.0% 0.3% 7.5% 0.2% 5.0% 2.5% 0.1% 0.0% 0.0% TC Ca OC Al Fe Mg EC K Ti Mn Zn Cu Ba Sr Pb Cr V 0.020% 0.006% 0.015% 0.004% 0.010% 0.002% 0.005% 0.000% 0.000% Ni Ce Rb Li Mo Ga Co As Sb Cs Ag Cd Figure 2. Elemental composition of PM2.5 mass. Figure 2 shows the elemental composition of the PM 2.5 mass of the urban and rural road dust samples. The largest constituents of the road dust include organic carbon (OC), calcium, aluminum and iron. Assuming an organic mass to organic carbon ratio of 1.8, the quantified species contribute 43% and 46% of the rural and urban road dust PM2.5 mass, respectively. Major components not analyzed for include silicon and oxygen. Comparing the urban and rural samples indicates that the urban road dust is enriched in metals associated anthropogenic sources. Notably Fe, Zn, Cu, Pb, Cr, Ni, Mo, Sb. The rural road dust is enriched in elements associated with soil dust. Notably Ca and Mn. The urban road dust is modestly enriched in carbon.

Speciated Organic Composition n-alkanoic Acids n-alkanes PAH Hopanes Streanes n-alkenoic Acids Steroids Thiazoles Alkylcyclohexanes Resin Acids P. Triterpenoids (a) Major Classes 0 2000 4000 6000 (b) Minor Classes GC-MS analysis was performed on solvent extracted samples to quantitatively determine contribution of more than 100 individual organic species to the road dust. Figure 3 shows the contribution of different compound classes to the road dust OC. In total, the identified compounds contribute 0.35% and 0.94% of the OC mass in the rural and urban road dust samples, respectively. For most of the compound classes, the urban road dust is significantly enriched compared to the rural sample. For example, the contribution of n-alkanes to the urban sample is almost a factor of 4 greater than in the rural sample. The notable exception to this is the enrichment of steroids (cholesterol and beta-sitosterol) in the rural sample. 0 100 200 300 400 500 Figure 3. Contribution of major compound classes to OC.

Alkanes 250 200 150 100 50 0 n-alkanes C19 C20 C21 C22 C23 C24 C25 C26 C27 C28 C29 C30 C31 C32 C33 C34 C35 C36 Figure 4. n-alkanes as function of carbon number. Figures 4 and 5 show the distribution of n-alkanes and n-alkanoic acids as a function of carbon number. These two classes contribute the majority of the identified organic mass. The distribution of these species is similar to that measured in a road dust sample collected in Los Angeles (Rogge et al., 1993). For the n-alkanes, the urban samples are enriched across the entire range of carbon numbers. The distribution of lower molecular n-alkanes (C-19-C-25) is characteristic for vehicle exhaust. The highest concentrations are observed in higher molecular weight n-alkanes characteristic of vegetative detritus. However, higher even n-alkanes also contribute a significant fraction of mass indicating important nonbiological sources to high molecular weight n-alkanes. Rogge, W. F., Hildemann, L. M., Mazurek, M. A., Cass, G. R. and Simoneit, B. R. T. (1993). "Sources of Fine Organic Aerosol.3. Road Dust, Tire Debris, and Organometallic Brake Lining Dust - Roads As Sources and Sinks." Environmental Science & Technology 27(9): 1892-1904.

Alkanoic Acids 1500 1250 1000 750 500 250 0 n-alkanoic acids C9 C10 C11 C12 C13 C14 C15 C16 C17 C18 C19 C20 C21 C22 C23 C24 C25 C26 C27 C28 C29 C30 Figure 5 shows the distribution of n-alkanoic acids with carbon number. For the n-alkanoic acids, stearic and palmitic acids are the dominant homologues in both the urban and rural sample and a strong even-toodd distribution is prevalent. This pattern in high molecular weight n-alkanoic acids is a characteristic of vegetative detritus. Unlike the n-alkanes, the urban samples are only enriched at certain carbon numbers, notably C-16, C-18 and C-20. Little enrichment in the urban sample is observed in the higher molecular weight n-alkanoic acids. Figure 5. n-alkanes as function of carbon number.

Polycyclic Aromatic Hydrocarbons Coronene Dibenzo[a,h]anthracene Benzo[g,h,i]perylene Indeno{1,2,3-cd]pyrene Perylene Benzo[a]pyrene Benzo[e]pyrene Benzo[j]fluoranthene Benzo[k]fluoranthene Benzo[b]fluoranthene Chrysene/Triphenylene Benzo[a]anthracene Pyrene Fluoranthene Cyclopentaphenanthrene Anthracene Phenanthrene 0 100 200 300 Figure 6 compares polycyclic aromatic hydrocarbon concentrations in the urban and rural road dust samples. PAHs are emitted by a number of combustion sources including gasoline powered vehicles, natural gas and wood combustion. Coke production is thought to be the dominant source of PAH in the Pittsburgh metropolitan area. The urban road dust sample is significantly enriched in PAH relative to the rural sample. This enrichment underscores the influence of anthropogenic activities on road dust composition in urban environments. For higher molecular weight PAH (C-18 or larger), the ratio of urban to rural PAH is 4.1 ± 0.5. Figure 6. Road dust polycyclic aromatic hydrocarbons (PAH).

Molecular markers for motor vehicles 20S-17b(H)-Sitostane 20R-17b(H)-Sitostane 20S-17b(H)-Ergostane 20R-17b(H)-Ergostane 20S-17a(H)-Cholestane 20R-17a(H)-Cholestane 20S-17b(H)-Cholestane 20R-17b(H)-Cholestane 22-R-bishomohopane 22-S--bishomohopane 22-R-homohopane 22-S-homohopane hopane norhopane trisnorhopane Benzothiazole Heneicosylcyclohex. Eicosylcyclohex. Nonadecylcyclohex. Octadecylcyclohex. Heptadecylcyclohex. Hexadecylcyclohex. Pentadecylcyclohex. Tetradecylcyclohex. Tridecylcyclohex. Dodecylcyclohex, Undecylcyclohex. Steranes Hopanes Alkylcyclohexanes Figure 7 compares motor vehicle marker concentrations in urban and rural road dust. Hopanes and steranes are commonly used as markers for diesel and gasoline motor vehicles. Benzothiazole is a marker for tire wear aerosol. Alkylcyclohexanes have been identified in vehicle exhaust. All of these markers are substantially enriched in the urban road dust sample consistent with the much higher vehicular traffic on urban roads. It is interesting to compare the enrichment of these molecular markers to elemental carbon (EC). Motor vehicles and diesel vehicles in particular are the dominant source of EC in urban environments. The urban to rural ratio of EC in road dust is 1.25 (Figure 2) versus 2.4 for hopanes and 4.3 for steranes. 0 50 100 150 200 Figure 7. Road dust motor vehicle markers.

Steroids Dehydroabietic Acid b-sitosterol Cholesterol Figure 8 compares urban and rural road dust steroid and dehydroabietic acid levels. Dehydroabietic acid is a tracer of soft wood combustion and cholesterol is a marker for meat cooking emissions. Beta-sitosterol is a plant derived sterol, also known as a phytostero. Beta-sitosterol is measured in soft-wood smoke and is also found in plant abrasion products. 0 50 100 150 200 250 Figure 8. Road dust steroids and resin acids. The two steroids are the only quantified compounds that were enriched in the rural road dust relative to the urban wood dust. We interpret this as the rural road dust being enriched in material of biological origin.

Comparison with Los Angeles Road Dust (a) Major Classes n-alkanoic Acids n-alkanes 0 10000 20000 30000 (b) Minor Classes PAH Hopanes Steranes n-alkenoic Acids Thiazoles Resin Acids LA Oxy-PAH Pittsburgh 0 500 1000 1500 Figure 9. Pittsburgh and LA road dust. Rogge et al. (1993) measured the organic molecular composition of a road dust sample collected in Los Angeles. OC contributes approximately 13% of the PM 2.5 mass in both the Pittsburgh and LA road dust samples. EC levels in the two samples are also comparable (~ 1% of PM 2.5 mass). Figure 9 compares the contribution of major organic classes to the OC in the of the Pittsburgh urban sample and the Los Angeles sample. The distribution of compounds within these classes is generally similar between the two samples. Los Angeles road dust is enriched in most of the compound classes compared to Pittsburgh. For example, alkanoic acids and n-alkanes are more than a factor of 5 higher in the LA samples. Hopanes and steranes are enriched by a factor of ~ 1.5 in the LA samples suggesting a large contribution of vehicular emissions to road dust in LA. PAH and thiazoles are the only two compounds classes that are elevated in Pittsburgh road dust compared to LA. The enrichment of PAH is likely due to differences in the industrial sources between Pittsburgh and LA. A much larger fraction of the OC in LA road dust was identified on a compound by compounds basis compared to Pittsburgh (5% in LA versus 0.9% in Pittsburgh).

Conclusions Significant differences were observed in the composition of urban and rural road dust elevated in vehicular markers and metals associated with anthropogenic sources elevated in markers for biological material In sum, the identified organic species contributed less than 1% of the OC mass Acknowledgments: This research was conducted as part of the Pittsburgh Air Quality Study, which was supported by US Environmental Protection Agency under contract R82806101 and the US Department of Energy National Energy Technology Laboratory under contract DE-FC26-01NT41017. This poster has not been subject to EPA's peer and policy review, and therefore does not necessarily reflect the views of the Agency. No official endorsement should be inferred.