EPA-650/4-74-009 DECEMBER 1973 Environmental Monitoring Series ------- EPA-650/4-74-009 ENVIRONMENTAL CHAMBER STUDIES OF ATMOSPHERIC AEROSOLS by D.F. Miller and Arthur Levy Battelle-Columbus Laboratories 505 King Avenue Columbus, Ohio 43201 Contract No. 68-02-0574 Project No. 21 AKB-9 Program Element No. 1AA008 EPA Project Officer: Dr. W.E. Wilson Chemistry and Physics Laboratory National Environmental Research Center Research Triangle Park, North Carolina 27711 Prepared for OFFICE OF RESEARCH AND DEVELOPMENT U.S. ENVIRONMENTAL PROTECTION AGENCY WASHINGTON, D.C. 20460 December 1973 ------- This report has been reviewed by the Environmental Protection Agency and approved for publication. Approval does not signify that the contents necessarily reflect the views and policies of the Agency, nor does mention of trade names or commercial products constitute endorsement or recommendation for use. 1 1 . ------- ACKNOWLEDGMENTS The aLithors gratefully acknowledge D.Y.H. Pui, Dr. K. T. Whitby, and Dr. B. K. Cantrell at the University of Minnesota for their assistance in measuring aerosol size distributions. The authors also wish to acknowledge their fellow workers who made contributions to this program, especially D. W. Joscph, G. W. Keigley, D. A. Trayser, and G. F. Ward. Finally, we wish to acknowledge the leadership and interest of Dr. W. E. Wilson, Jr., EPA Project Officer. ii’ ------- TABLE OF CONTENTS Page INTRODUCTION AND OBJECTIVE SUMMARY OF OBSERVATIONS AND CONCLUSIONS. EXPERIMENTAL RESULTS 3 . 8 10 Aerosol Formation and Eye Irritation Mechanisms of Aerosol Formation in Smog Physical Processes Chemical Processes Influence of Primary Auto-Exhaust Aerosols on Development of Secondary Aerosols REFERENCES . Table I. Summary of Results of Smog-Chamber Experiments. . 9 Table 2. Correlations Between Eye irritation and Various Independent Variables Table B-I. Summary of Aerosol Collections by Filtration 3 Presentation of Data Summaries of Data DiSCUSSION 10 10 II 12 17 20 A-i B-I APPENDIXES A. EXPERIMENTAL METHODS B. SUMMARY OF AEROSOL COLLECTIONS. . LiST OF TABLES 11 B-i V ------- FINAL REPORT on ENVIRONMENTAL CHAMBER STUDIES OF ATMOSPHERIC AEROSOLS to U.S. ENVIRONMENTAL PROTECTION AGENCY from BATTELLE Columbus Laboratones December 12, 1973 • INTRODUCTION AND OBJECTIVE l’he objective of this research program is to obtain data that can be used by EPA to evaluate the role of pnmary auto-exhaust aerosol in the subsequent formation of photochemical aerosol and to determine what relationships if any might exist between photochemical-aerosol formation and eye irritation. In pursuing the objective, experiments were conducted in which synthetic hydrocarbon-NOn-air mixtures and automobile exhaust-air mixtures were irradiated in a 61 0-cu-ft smog chamber. Emphasis was placed on strict control of all experimental parameters, on complete detailed analyses of the formation of photochemical aerosols* and on the chemistry associated with the formation of other photochemical-smog manifestations, including eye irrita- tion. In addition to obtaining data pertinent to the stated objectives, data were obtained which revealed chemical mechanisms important in aerosol formation and physical mechanisms account- ing for losses of aerosols in smog chambers. SUMMARY OF OBSERVATIONS AND CONCLUSIONS In addition to this report, three papers have been presented which describe various aspects of the program. The papers are entitled, “Aerosol Formation in Photochemical Smog. The Effect of Humidity and Small Particles” 1 , “Evolution of the Freeway Aerosol” 2 , and “Effect of Stirring on Aerosol Production in a Smog Chamber” 3 A fourth paper entitled “The Size Distribution and Concentration of Combustion and Photochemical Aerosols Attributable to Automobiles” t4 will be presented at the 67th Annual Mc eting of the Air Pollution Control Association, June, 1974. t in this report, the term photochenucal ,ierosois refers to aerosols (condensed n atter) which form as a resuit of photochemicjiiy induced reactions occurring in the smog chamber ------- 2 Although these papers discuss many of the results of this program, several other important observations were made while assembling and perusing these data. The observations are listed below, together with some of the conclusions contained in the papers cited. Observations nol referenced are discussed in the text of this report. • There is no substantial relationship between the severity of eye irritation and the amounts of aerosols formed photochemically. • Inclusion of primary aerosols during the formation of photochemical aerosols changes the size distribution of the resulting aerosol and may have a sizable influence on light scattering and visibility reduction. However, the presence of primary aerosols appears to have little effect on the volume of aerosol material produced by thc photochemical processes. • Losses of aerosols to chamber surfaces agree with diffusion-rate theory for various- size particles However, turbulence created by mechanically stirring the chamber’s atmosphere increases the loss rate by factors as large as 5, and the loss rates differ for aerosols of different chemical composit ons. 131 • The relationships between aerosol mass concentration inferr d from size-distribution data, aerosol mass concentration determined gravimetrically, and aerosol mass con- centration predicted by total light scattering are fairly consistent and rarely differ by factors greater than • Patterns of photochemical-aerosol formation from aromatic hydrocarbon-NO -air and automobile exhaust-air mixtures are similar, and OH radicals appear to be important precursor intermediates for aerosol formation in these cases. With olefinic hydrocarbon- NO -air and olefinic hy drocarbon-NO -SO 2 -air mixtures, photoche mical- aerosol formation appears to depend on ozone concentrations. • The initial concentration of aerosols emitted by automobiles is very high and the aerosol sizes are quite small ( O.02 pmdiamcter). Under most laboratory conditions. the small aerosols coagulate quite rapidly unless rapid and extensive dilution is applied. 141 • TEL motor-fuel additive has no pronounced effect on the rate of NO photo- oxidation or on other photochemical-smog manifestations, including eye irritation Presumably, additional important information can be derived from the data furnished in this report. Chemical models of the smog-chamber data or chemical analyses of the numerous aerosol collections may, for example, lead to an improved understanding of aerosol development in smog. EXPERIMENTAL Battelle-Columbus’ 610-cu-ft smog chamber has been described previously Light-intensity measurements by NO 2 photolysis 6 and o-nitrobenzaldehyde photolysis 17 1 agree quite well, as described by Gordon. 181 The value for kd is—’0.45 min 1 . Total hydrocarbon was determined by ------- 3 flame ionization, specific hydrocarbons by flame-ionization gas chromatography, (‘0 by NDIR. SO 2 by flame photometry and a coulomctric analyzer, 03 by chemiluminescenec with ethylene. NO and NO 2 by automated Saltzman using a dichromate oxidizer for NO, PAN by electron- capture gas chromatography, and light scattering by broad-band (420 to 570 nm) integrdted nephelometry. Measures of eye irntation were made by three 7-member eye-panel teams chosen from Battelle-Columbus’ staff. Selection and screening of the panelists are described in Appendix A. Aerosol size distributions were obtained using the Minnesota Aerosol Analyzing System (MAAS) developed by Dr. K. T. Whitby and his colleagues at the University of Minnesota. Instruments comprising the MAAS are a portable electrical-mobility analyzer, a modified optical particle counter, and a condensation nuclei counter. Calibration and operation of this system in determining size distributions has been reported by Whitby et al.t 9 Synthetic automobile exhaLists used as part of the total exhausts in Runs AA-032 through AA-038 were made up of 50 percent by weight of the respective motor fuel (simulating fuel-derived exhaust constituents) and 50 percent by weight of a C 2 -C 4 hydrocarbon mixture (simulating combustion-derived exhaust constitutents). The percentage composition of the coin- bustion mixture was ethane 4.0, ethylene 44.1, acetylene 28.0, propylene 16.0, l-butene 6.2, and trans-2-butene 1.7 Procedures for operating the automobiles and transferring exhausts to the smog chamber are described in Appendix A. RESULTS Presentation of Data A major requirement of this program was to furnish EPA a comprehensive copy of data emanating from the aerosol and chemical measurements made during smog-chamber experiments Because of the large amount of data obtained, a separate Data Report was prepared containing (1) Time-concentration profiles of the gas-phase chemistry of each smog experiment (2) Computer tabulated printouts of experimental conditions and rates of change of various constituents during each experiment (3) Time-concentration profiles of various aerosol parameters inferred from aerosol size distributions measured during the experiments (4) Computer-generated plots of the changes in aerosol surface distributions with irradiation time (5) Tabulations of the response times to eye irritation for each panelist, and the arithmetic and geometric mean times for each experiment. Two copies of the Data Report were delivered to EPA together with this report. Examples of the gas-phase and aerosol profiles appearing in the Data Report are. shown in Figures 1 through 4. ------- Ozone 0.400 ppm - - Carbon monoxide 20.000 ppm —— — —— Sulfur dioxide 0.020 ppm ———- Nitric oxide l 000 ppm —— Nitrogen dioxide 0.600 ppm Run AA 032 NO 2 — - / / / 9’ 8’ 60 4 ’ N N / U ) C .4- 0 4- C a , C ., a, 0 P t’ P t’ 5’ ‘4 ‘ 4 CO NO N St . ‘4 2 N ‘ 4% ‘S ‘ 4% a a a a a a — — — 0 25 50 75 100 125 150 175 200 225 250 275 300 325 350 Irradiation Tsme,min FIGURE 1. SMOG PROFILE OF INORGANIC GASES ------- 50 75 100 125 150 175 200 225 250 275 300 325 350 Irradiation Time,min Total hydrocarbon 20.000 ppm Methane 2.000 ppm PAN 0.080 ppm FIGURE 2. SMOG PROFILE OF ORGANIC GASES Run 44 032 — — — — — — — — — — — — 100 90 80 70 60 50 40 30 0 -9 U) 4- C 0 4- C a, C.) a) / , / , , / , , , , 0 25 ‘ I l ------- V-Volume / Lm 3 /cc 30 S-Surface /.Lm 2 /cc 2000 N-CNC number(No./cc) 800000. B-BSCAT (el.OE-4/m)0.500 T—Surface >.I/.L( 1 u.m 2 /cC) 700 FIGURE 3. SMOG PROFILE OF INTEGRATED LIGHT SCATTERING (BSCAT) AND VARIOUS AEROSOL PARAMETERS COMPUTED FROM SIZE-DISTRIBUTION MEASUREMENTS 100 Run 44 032 U) 4-. C -I 0 4- C w C-) w 0 0 25 50 75 100 125 150 175 200 225 250 275 300 325 Time, mm ------- 5000 Run AA 032 Irradiation Time,min A- 0.00 B- 22.00 4000- C- 52.00 D- 102.00 E- 182.00 F -272.00 U 3000- I - 2000- 1000 - /B/ 0 _____ __ 0.001 0.010 0.100 1.000 0.000 Particle Diameter (Dp)i/.Lm FIGURE 4. CHANGES IN AEROSOL SURFACE DISTRIBUTION AS A FUNCTION OF IRRADIATION TIME ------- 8 Figures I through 4 describe results from an experiment where filtered auto exhaust (nonleaded fuel) was irradiated for 6 hours. Just before irradiation, condensation nuclei were added to the chamber. In Figure 1, the loss rate of SO 2 is shown to be less than the dilution rate (indicated by the CO curve). This apparent anomaly reflects the inaccuracy of the SO 2 monitor at very low concentrations ( 0 02 ppm). In Figure 2, no loss of methane is indicated because the purified air used to make up volume losses contains methane. In Figure 3, the number concentration of aerosols is greatest at 0 minutes because of the addition of condensa- tion nuclei (CN) prior to irradiation. Although the number concentration is high (7 x l0 cm- 3 ) at t = 0 minutes, the initial amount of aerosol surface due to CN is small (‘-50 g .im 2 cm- 3 ), as indicated in Figures 3 and 4. In this case, the added CN had little effect on the development of the photocheniically derived aerosols. Aerosol Mass and Chemical Data. Numerous aerosol collections were made at the end of the irradiation periods (4 to 6 hours). Aerosols were collected on a varicty of filter media for mass determinations and/or subsequent chemical analyses. Data pertinent to these collections are presented in Table B-I, Appendix B. Computer Tape Record. In addition to the Data Report, a 7-track IBM compatible magnetic tape was prepared containing all gas-phase data converted to engineering units. The tape WdS delivered to the Project Officer, September 26, 1973. EPA-CRC CAPE-19 Study. As an adjunct to this program, a number of aerosol analyses using the MAAS were conducted to characterize the aging process of primary automobile particulate in a dark residence chamber. Those analyses were performed in conjunction with the EPA-CRC CAPE-19 program at BCL. Copies of those data, tabulated and graphically displayed by computer, were delivered to the Project Officer, April 6, I 973 Summaries of Data Initial experimental conditions and results of all the smog-chamber experiments are summarized in Table 1. LeSS familiar abbreviations are defined below % RH percent relative humidity bscat extinction coefficient of light scattering ST = total aerosol surface concentration VT = total aerosol volume concentration Mass = aerosol mass concentration determined by filtering and weighing I AN = peroxyacetylnitrate I-ICUO = formaldehyde RCHO = total aldehyde. ------- TABLE 1 SUMMARY OF RESULTS OF SMOG-CHAMBER EXpERIMENTS(aI Maximum or Final Concentrations Initial Concentrations and Conditions Eye -— Aerosols Stirring Gases _______— Aerosols — Irritation as H 2 0 CO. NO, NO 2 SO 2 03. bscat. ST. Speed. 03. PAN HCHO. RCHO b at ST. VT. Mass. Response Run Hydrocarbons, ppm C % RH ppm ppm ppm ppm ppm 10 4 m 1 pm 2 cm rpm ppm ppm ppm ppm 10 4 m 1 pm 2 cm pm 3 cm pg m 3 Time sec fai Abbreviations delined on pays 8 fbi Dark reactions (c) Condensation nuclei added before irradiation (di Auto exhaust filtered of primary aerosol fe Leaded fuel, all other exhaust e’perirx nts made with unledded fuel AA 005 Toluene, 466 66 <3 110 100 000 000 02 — 0 055 030 01 11 82 921 77 AA 006 Toluene. 46 3 58 <3 098 098 000 000 02 <10 0 04S 040 0 1 1 3 100 9,274 640 1.100 56 AA 007 Toluene, 469 66 <3 094 094 000 000 0 2 <10 990 053 043 0 1 1 4 21 1.566 205 278 47 AA 008 1 heptene, 358 66 <3 072 076 000 000 02 <10 0 064 005 1 3 48 13 7.123 352 180 46 AA.009 1 heplene, 203 66 <3 072 072 000 000 02 <10 0 064 007 06 28 17 2.196 93 67 84 AAO1O 1 heptene 346 70 <3 070 070 000 000 02 — 1.000 062 001 12 51 09 3.042 100 80 61 AAO11 Benzene, 308 70 <3 071 072 000 000 02 <10 0 000 — 00 03 29 2,316 102 117 189 AA 012 Toluene 16/mesitylene. 28 66 <3 068 069 000 000 02 <10 0 098 020 04 2 2 21 8,452 443 321 83 AA013 Benzene, 321 66 75 075 075 000 000 02 <10 0 016 — 00 02 21 2,013 89 — 199 AA015 Bensene, 318 62 <3 073 071 010 000 02 <10 0 000 — 00 00 58 4,019 198 140 198 AAO16 — 58 <3 <005 000 019 000 02 <10 0 006 — — — 65 6.372 234 174 — AAO17 — 14 <3 <005 000 023 000 02 <10 0 000 — — — 17 2,904 117 — 218 AA O I8(b) — 66 <3 020 200 060 060 02 <10 0 — — — — 02 1,478 28 — — AA 01 g(b) Propylene, 90 70 <3 <006 000 096 072 02 <10 0 — — — — 12 17,580 518 263 — AA 020 a pinene, 27 4 70 <3 073 076 000 000 02 <10 0 044 — — — >100 >20.000 >2,000 — 97 AA021 ’ 1 I heptene, 200 78 <3 <005 — 000 064 02 <10 0 — — — — 28 7,553 248 65 — AA 022 (b) 1 heptene, 208 78 <3 <005 — 0 5 051 02 <10 0 — — — — 20 >20.000 >600 281 188 AA 023 1c) Toluene, 18 3 62 <3 076 073 000 000 02 100 0 042 025 0 1 09 20 5,592 316 456 92 AA-024 Auto exhaust. 160 55 225 200 048 006 000 — 1,292 0 052 025 05 18 6 3,353 157 165 88 AAO2S(d) Auto exhaust, 160 58 245 140 089 001 000 02 <10 0 078 049 05 18 2 3.542 114 125 104 AA.028 1 tieptene, 120, 66 <3 043 001 006 000 02 <10 0 039 — 03 1 4 09 3,028 77 102 103 AA 029 1 heptene, 12 1 74 <3 0 48 001 006 000 02 <10 1.000 0 37 — 0 3 1 3 06 2,470 67 84 92 AA 030 1 heptene, 11 2 66 <3 052 001 000 000 02 <10 0 051 — 03 1 3 03 509 9 52 118 AA03I 1 ’ 1 heptene 117 70 <3 050 001 000 000 03 100 0 039 — 03 14 03 461 12 62 92 AA 032 (c.d) Auto exhaust, 80 62 IS 097 022 <001 000 02 50 0 026 007 03 10 04 1,030 24 58 126 AA033 Auto exhaust,8 1 62 40 072 006 <001 000 02 60 0 053 019 03 12 04 1116 25 58 104 AA034(d) Auto exhaust,82 58 41 078 016 <001 000 02 <10 0 054 017 04 11 04 756 16 47 114 AAO35IeI Autoeyhaust,81 66 39 073 002 <001 000 03 512 0 046 022 03 Il 05 877 27 43 107 AA 035 (eI Auto exhaust, 8 1 58 40 079 001 <001 000 03 433 0 050 023 04 1 2 05 827 25 38 138 AA 037 (de) Auto exhaust. 80 58 42 077 009 <001 000 02 <10 0 057 029 03 1 2 03 755 16 42 94 AA 038 (d,e) Auto exhaust, 82 58 40 018 009 <001 000 02 <10 0 045 027 03 1 2 03 670 15 46 103 ‘ .0 ------- 10 DISCUSSION Aerosol Formation and Eye Irritation One of the objectives of this program was to determine whether a relationship exists between the degree of eye irritation and the concentration of photochemically generated aerosols. The procedure for determining eye irritation was to expose two groups of panelists (totaling 14 persons) to the chamber contents about 2 hours after the NO 2 concentration passed through its maximum. Typically, during this period of irradiation, aerosol surface and volume concentrations also reached or passed through their maximum values. It has been established on the EF-8 project for APi that this period of irradiation coincides with maximum eye irritation, at least where auto exhausts are irradiated. ’ 0 More details on the eye-panel selection and testing are given in Appendix A. Arithmetic and geometric mean response times and response indices are presented in the supplementary Data Report. Individual responses of each panelist are also provided there for any additional statistical analyses EPA may want to conduct. In companng eye-irritation intensities between pairs of experiments in which aerosol concentration was the only widely varying parameter (Table 1, Runs: AA-006 and AA-007, AA-008 and AA-0l0, AA-016 and AA-017, and AA-028 and AA-029), it appears that the amount of aerosol surface and/or volume has very little or no influence on eye irritation. To more fully explore any possible relationship between these variables, linear regression equations with two vanables were obtained (by method of least squares), and correlation analyses were performed to describe the strength of the regression equations. Regression equations and correlations were obtained with eye irritation (100/mean response time, see) as the dependent variable and PAN (ppm), formaldehyde (ppm), and total aldehyde (ppm) as independent variables in addition to aerosol surface (pm 2 /cm 3 ) and aerosol volume (pm 3 /cm 3 ) concentra- tions. Values of the independent variables were taken near the times of the eye-irritation measurements The results are shown in Table 2. As indicated by the correlation coeflicients iii Table 2, there is virtually no correlation between eye irntation and aerosol or PAN concentra- tions, and only moderate correlation between eye irritation and aldehyde concentrations In conclusion, neither the concentration of aerosols nor the concentration of cci hun gaseous products, taken individually, correlated highly with eye irritation associated with photochemical smog arising from irradiation of typical hydrocarbon-NO and hydrocarbon-NO -SO 2 mixtures in air. Mechanisms of Aerosol Formation in Smog Use of the MAAS has revealed several important features regarding aerosol formation in smog which have been previously obscured because of inadequate aerosol-analyzing methods Most important, perhaps, these measurements lead to a clearer understanding of aerosol growth processes, which in turn enables US to speculate on the chemical mechanisms prevailing in aerosol formation. Before discussing aerosol chemistry, it is instructive to describe the physical pattern of aerosol formation as it occurs in a smog chamber operating as a batch reactor. ------- 11 TABLE 2. CORRELATIONS BETWEEN EYE IRRITATION AND VARIOUS INDEPENDENT VARIABLES Independent Variable Linear Regression Parameter Correlation Coefficient Number of Observations Slope Intercept Aerosol surface concentration 26 —o oi 0.96 —0.08 Aerosol volume concentration 26 —0.01 0.96 —0.12 Formaldehyde concentration 24 0.55 0.75 0.40 Total aldehyde concentration 24 0.21 0.62 0.58 PAN concentration 17 0.51 0.95 0.14 Physical Processes Profiles of some of the parameters associated with aerosol formation during the irradiation of filtered and diluted auto exhaust are presented in Figure 5. As indicated here, thcre is a very rapid increase in the aerosol number immediately after irradiation is initiated. The very brief induction period is the time required for the vapor of the incipient aerosols to reach cntical concentrations at which nucleation begins. Once formed, the nuclei begin to coagulate. The maximum in the total number of nuclei occurs when the rate of coagulation equals the rate of nucleation. Beyond this point, the rate . of nucleation diminishes as more surface becomes available to support condensation — thermodynamically a more favorable process. Thus, shortly after the maximum in the total-number curve, condensation is believed to be the prevailing mechanism by which aerosol volume increases. In this experiment, total aerosol production (total-volume curve) increases linearly for about 1 hour and then diminishes. The decrease in the volumetric conversion rate is generally attributed to (1) decreases in concentrations of precursor constituents, (2) waIl losses, and (3) chamber dilution. Increases in the concentration of total surface area result from nucleation and from condensation of new vapor on existing aerosols. At the same time, however, coagulation reduces the total aerosol surface. For the experiment depicted in Figure 5, after about 1 hour, the rate at which surface is destroyed by coagulation is greater than the rate at which new surface is created by condensation. Integrated light scattering (bscat) is seen to increase throughout most of the irradiation, leveling off only during the last hour. The fact that the slope of the total-volume curve after 2 hours of irradiation is less negative than the slope of the total-surface curve indicates that the increase in light scattering after 2 hours is due primarily to coagulation of small aerosols produced earlier in the reaction. As mentioned previously, similar plots of total aerosol number, total volume, total-surface- area concentrations, and integrated light scattenng versus irradiation time are available in the supplementary Data Report for each experiment. ------- 12 U, C 6O FIGURE 5. PROFILE OF AEROSOL FORMATION DURING IRRADIATION OF FILTERED AND DILUTED AUTO EXHAUST (16 PPM C HYDROCARBONS) Chemical Processes Many investigators have been under the impression that the formation of aerosols in smog us directly related to the formation of ozone as evidenced by the correspondence in the appearance of light scattering and ozone. Our findings indicate that such dependency is observed only for o1efin-NO and olefin-NO -SO 2 smog systems, the latter resulting primarily in formation of sulfate aerosol. In aromatic hydrocarbon-NOr systems, this dependency is not observed and an alternative dependence involving OH is suggested. Oxidation of Hydrocarbons. When diluted auto exhaust is irradiated m the smog chamber. most of the aerosol volume is produced during the period of NO to NO 2 conversion, as illustrated in Figure 5. In an earlier study of the propensity of specific exhaust hydrocarbons to generate photochemical aerosols, aromatic compounds stood out as being far more reactive than most olefin or paraffin cornpounds. ’ 1) Thus the pattern of aerosol formation observed during auto exhaust irradiation would be expected to appear during irradiation of aromatic hydrocarbon-NOr-air mixtures. 100 80 40 2 3 Irrodiation Time, hr ------- 13 Figure 6 shows the formation of aerosol during irradiation of toluene and NO in air (Run AA-008). In this case it is quite clear that aerosol production occurs almost exclusively during the NO to NO 2 conversion period. The abrupt decline in aerosol production at 240 minutes cannot be attributed to the consumption of toluene but may be associated with the consumption of NO. When one examines kinetic data for reactions of aromatic hydrocarbons with the free radicals in smog 11 2), it is clear that OH is the most important attacking species. Furthermore. recent kinetic simulations of smog chemistry 1 ’ 3) reveal that, of the OH-forming reactions listed below, the overall rate for Reaction (1) is much greater than that for all the others, unless, of course, the NO concentration is very small. 700 600 E I 4O0 a C C, C., C 0 0 2O0 o 100 0 360 FIGURE 6. AEROSOL.FORMATION PROFILE DURING IRRADIATION OF TOLUENE.NO AIR MIXTURE Thus Reaction (1) serves to continually pump OH into the system to react with aromatic hydrocarbons while also oxidizing NO to NO 2 . When the concentration of NO becomes very small, other intermediates (e.g., 0 atoms, R0 2 RO, and HO 2 radicals) become competitive in reacting with aromatics, and presumably the nature and/or rate of these reactions do not lead to substantial aerosol yields. HO 2 + NO ÷ HO + NO 2 (1) HONO + hv + HO + NO (2) H 2 0 2 + h 2H0 (3) O(’ D) + H 2 0 + 2HO (4) 1.4 a > > 0. 0. 0.8 0 •1- 0 J06 02 120 I Irradiation Time,min RCHO 2 H RCHO + HO (5) ------- 14 Although most paraffins and low molecular-weight olefins yield much less organic aerosol than aroniatics, olefins possessing 4 carbon atoms produce substantial quantities when irradi- ated with NOR. For example, 1-heptene yLelds about 50 to 70 percent of the amount of aerosol generated by equal concentrations of toluene. The reaction between oleilus and ozone appears to be the most important in forming these aerosols. As shown in Figure 7, substantial aerosol formation does not occur during NO oxida- tion (where the O Il concentration is highest), but rather after NO is consumed and 03 is generated. Thus, unlike the situation with aromatic hydrocarbons, aerosol formation froni the higher-inoIecular- seight olefins seems to involve reactions with 03. Results of the dark reaction of 03 with 1-heptene (Run AA-02 I) support the belief about the importance of 03 in the irradiation experiment. 2 Oxidation. Numerous studies have been conducted to ascertain the interaction of SO 2 in photochemical smog, with particular concern for the formation of sulfunc acid aerosols. Although it has been well established that sulfuric acid aerosols are indeed products of SO 2 oxidation, considerable uncertainty exists as to the rate of SO 2 oxidation and the prevailing mechanisms involved. In most studies where SO 2 has been irradiated in air containing hydro- carbons and nitrogen oxides, no quantitative results have been reported for SO 2 -oxidation products. Thus it has not been clear as to the extent to which the observed losses of SO 2 in these systems actually culminated in sulfune acid aerosols. Recently Cox and Pcnket t14 conducted a series of dark reactions in which 503 was successfully monitored by means of radiochemical techniques. Clark and Whitby ’ 5 determined, indirectly, the rate of SO 3 formation from 502 oxidation by measuring aerosol products with the same instrumentation employed in this study. in their experiments, SO 2 was irradiated in the absence of other pollutants. Similarly in this study, irradiation experiments were carried out with SO 2 added to air otherwise unintentionally contaminated (Runs AA-016 and AA-017), but also to air to which hydrocarbons and N0 were intentionally added (Runs AA-015, AA-028, anti AA-029). In the “50 2 -clean air” runs, humidity was the independent vanable. Figure 8 shows the effect of humidity on the aerosol volumetric formation rate (dV/dt) when 502 was irradiated alone in air- At 58 percent RH, maximum dV/dt was about three times greater than that at 14 percent RH. It is of considerable interest to determine whether the aerosol-formation rates observed in these experiments can be substantiated on the basis of SO 2 oxidation and aqueous sulfuric acid vapor-pressure data. ’ 6 If one assumes that the loss of SO 2 is due entirely to SO 3 formation, and further that equilibrium exists between the condensed and vapor phases of aqueous sulfuric acid, SO 3 (H 2 OL, then the observed decay in SO 2 should be equal to the observed production of S0 3 (H 2 0) aerosol. The appropriate calculation for predicting the change in aerosol volume due to SO 2 oxidation is shown below for Run AA-016. A [ S0 2 1kM = xp (6) where x = mole fraction of 50 3 H 2 O in SO 3 (H 2 0) at the temperature and humidity of the system p = density of S0 3 (H 2 O) at the same conditions r = ratio of molecular weight of SO 2 to SO 3 H 2 O. ------- > > E a. a. C 0 0 .4— C C) C .) C 0 0 U , 0 C 4 1.2 ‘— 10 E a a.08 04 C) 02 0 15 700 600 ‘ I , E 500 £ 2001 100 FIGURE 7. AEROSOL-FORMATION PROFILE DURING IRRADIATION OF 1.HEPTENE-NO .AIR MIXTURE In E U t C 0 4- a 4- C C) U C 0 0 a) E 0 U, 0 a , ‘C Irradiation Time, mm FIGURE 8. EFFECT OF HUMIDITY ON THE VOLUME OF H 2 5O 4 AEROSOL FORMED DURING IRRADIATION OF S0 2 -AIR MIXTURES 120 180 Irradiation Time, m m 0 60 120 ISO 240 300 360 ------- 16 To simplify the calculation, the change in aerosol volume was predicted over the irradiation interval of 0 to 60 minutes where rates were approximately linear. For the conditions of Run AA-0l6, the constants in Equation (6) are: x = 0.40, p = 1.3 g/cm 3 , and r = 065. Actual SO 2 loss dunng the first hour (corrected for dilution) was 0.019 ppm. Using the units conversion factor, I ppm SO 2 = 2610 pg/rn 3 (25 C, I atm), the calculated value for Vso 3 IH 2 o) at 60 minutes is 147 prn 3 /cm 3 . The observed value was about 160 pm 3 /crn 3 . Performing the same type of calculation on results of Run AA-017 (where SO 2 = 0.015 ppm, x = 0.61. p = 1.5 g/cm 3 , r = 0.65) leads to a prediction for VSoa(H 2 o) of 66 pm 3 /cm 3 . The observed value was 60 prn 3 /crn 3 . The good agreement in these instances supports the hypothesis that the observed decay in SO 2 was indeed due to gas-phase oxidation of SO 2 to SO 3 rather than to either absorption or heterogeneous reactions of SO 2 on chamber surfaces. What is difficult to explain is the observed rate of SO 2 oxidation. The rates in Runs AA-0 16 and AA-0 1 7 ranged from about 7 to 10 percent/hr. The maximum theoretical rate for conditions of this study is less than 2 percent/hr. 1 6) One is therefore left with the conclusion that contamination is responsible for the enhanced rate, but at contaminate concentrations <2 ppm C “nonreactive” hydrocarbon and <0.05 ppm NOR. Clark and Whitby 5 also suspected that contamination may have increased SO 2 oxidation rates observed in their work, although the oxidation rates they calculated were within the theoretical limit, even when contamination was suspected. Figure 9 shows the results of SO 2 oxidation and subsequent SO 3 (H 2 O) aerosol formation when 0.06 ppm SO 2 was irradiated in air to which 1-heptene and NO were intentionally added (The aerosol-volume profile is also indicated in Figure 9 for 1-heptene/NO irradiation in the absence of SO 2 .) Unlike the results of irradiating SO 2 in clean air, there is a substantial delay before reaching the maximum rate of aerosol formation, which is also coincident with the maximum formation rate for ozone. > C 0 0.2 box E C 0 4- 0 4- C a) U C 0 0 4o 20 FIGURE 9. AEROSOL FORMATION PROFILE DURING IRRADIATION OF 1.HEPTENE.NO .AIR MIXTURES IN PRESENCE AND ABSENCE OF SO 2 120 80 60 Irradiation Time, mm ------- 17 Several rnvcstigators, including Cox and Penkett 14 , argue that the most likely mechanism for SO 2 oxidation under these conditions involves oxidation via zwitterions produced from ozonolysis of l-heptcne. A reasonable extension of the theory is the presumption that the SO 2 oxidation rate, ou SO 3 (l-1 2 O), formation rate, would be first order in each of three reactants (S0 2 ,0 3 , and 1-heptene) as indicated by Equation (7). d SO 3 (l-l 2 O) /dt = k (SO 2 ) (0 3 )(l-heptene) . (7) During the period from 90 to 150 minutes where d SO 3 (H 2 O) /dt was nearly constant, the product of the concentration terms would be expected to be constant. Inserting the appropriate values of SO 2 , 03, and 1-heptene at irradiation times of 90, 120, and 150 minutes yields products of 0 38, 0 46, and 0.40 ppm 3 , respectively, and the first-order assumption appears valid. However, the abrupt decrease in dV/dt near 200 minutes severely contradicts predictions based on this first-order scheme. At 200 minutes, the [ 03] [ S0 2 ] [ olefm] product was 0.23 ppm 3 , which would indicate an aerosol-formation rate of about half the maxinium (4 .zm 3 cm- 3 mm-’), and not zero. Reasons for the abrupt change in slope of the aerosol-volume curve at 1 80 to 200 minutes are not apparent. It was not due to aerosol losses because at this time the mean aerosol diameter was about 0.1 ,im — a size that is not especially susceptible to wall loss due to diffusion or settling. The maximum rate of SO 2 oxidation in Run AA-028, whether based on SO 2 decay or aerosol production, was about 7 percent/hr, or less than that observed in the absence of the olefin and NO pollutants. It appears then that there is no evidence (here) to support or deny the zwitterion theory for SO 2 oxidation in irradiated atmospheres. In the zwitterion theory, there is nothing to explain the SO 2 oxidation rate where very little olefins and 03 could be detected, or the abrupt decline in SO 2 oxidation where substantial amounts of olefin, SO 2 , and 03 were still present. In authentic smog atmospheres, homogeneous SO 2 oxidation may be very complicated. Energy transfer from important intermediates might play a significant inhibitory role. Zwitterions may well be important intermediates for SO 2 oxidation, but it is also likely that other constituents of smog are competitive with SO 2 for reactions with the diradical. Influence of Primary Auto-Exhaust Aerosols on Development of Secondary Aerosols To facilitate experimental control, most smog-chamber studies have been conducted with particle-free air — a condition which is obviously unrealistic compared with urban atmospheres. Results from APi project EF-2 at BattelIe 1 1) indicated that primary automobile particulate had a positive effect on the amount of light scattering that developed during irradiation of automobile-exhaust vapors. The changes in light scattering could not be clearly interpreted, however, because techniques were not available for measuring the concentration of suboptical- size particles. In the present program, the effect of preexisting particles on photochemical-aerosol development was reinvestigated, using the MASS in conjunction with auto-exhaust experiments. The concentration of primary aerosol was controlled by filtering the exhaust while adding it to the smog chamber. In some experiments, exhaust was added without filtering. Two series of experiments were conducted in this manner — one at higher primary aerosol concentrations than the other. The different sources of auto exhausts, automobile operations, and methods of transferring exhaust to the smog chamber are described in Appendix A. ------- 18 Moderate Versus Zero Primary-Aerosol Levels. In the first set of expenments, conducted with an APi project EF-8 automobile, carburetor enrichment was used to provide a suitable exhaust HC/NOX ratio for smog-chamber experiments. This enrichment also provided larger than normal amounts of primary aerosol, such that the total-surface-area concentration of primary aerosol present in the chamber at the outset of irradiation ( l300 Mm 2 cm- 3 ) approached that existing in ambient air in the mornings as photochernical reactions begin. Results of irradiating auto exhaust in the presence (unfiltered) and absence (filtered) of primary aerosol are shown in Figure lO.* With the exception of the differences in primary aerosol concentration, the experiments were essentially identical, and the ensuing gas-phase reactions which were monitored were also very similar. 100 80 60 40 20 U, C ‘a- 0 C w U I.- G) FIGURE 10. EFFECT OF PRIMARY AUTO-EXHAUST PARTICLES ON SECONDARY AEROSOL GROWTH AND LIGHT SCATTERING (16 PPM C HYDROCARBONS) The two aerosol-volume-concentration curves in Figure 10 indicate that initially the volu- metric conversion rates are nearly the same and that, at the end of the irradiation, the difference in total volume is nearly equal to the initial difference, i.e., the volume of primary exhaust aerosol. Therefore, the volume of aerosol formed photochemically is not substantially influenced by the presence of primary aerosol and the large difference occurring in integrated light scattering must be associated with other properties of the aerosols. As indicated in Figure 10, the These data and discussion are included in the Proceedings of the Third International Clean Air Congress (Reference I) .ind in Battelie-Columbus’ Interim Report on “Motor Fuel Composition and Photochemicai Smog” to the American Petroicum Institute (Reference 10). 2 3 Irradiation Time, hr ------- 19 initial formation rate of aerosol surface was significantly greater for the filtered exhaust. This observation is consistent with the difference in nucleation rates (not shown in Figure 10); more nuclei were formed and therefore more surface was initially formed in the case of filtered exhaust. As the irradiations progressed, the total surface area concentrations became similar after nucleation subsided. Light scattering, however, does not depend on the total amount of surface area associated with particles, but rather on the amount of surface area associated with particles >0.2 urn in diameter (not a strict cutoff at 0.2 Mm) and increases as the diameter of the particles approach 0.5 urn. Thus the differences observed in light scattering can be explained best by examining the distribution of surface over the aerosol size range. The distributions at irradiation periods of 0.5 and 4 hours are indicated in Figure II for the two auto-exhaust experiments discussed above. (The surface distributions in Figure 11 are dimensioned such that the area under a curve in a given size range is directly proportional to the surface area in that size range.) Upon comparing the surface distribution of the aerosol in the filtered- and unfiltered-exhaust experiments at 0.5 hour, one notes that the total area under the curve in the filtered case is greater than that in the case where particles were present initially. However, the area under the surface curve in the important light-scattering range (>0.2 Mm) is much greater for the unfiltered exhaust. Comparison of the results at 4 hours reveals that the amount of surface associated with aerosols in the light-scattering range is again greater for the unfiltered exhaust and that the distribution approaches the size range of optimum scattering efficiency. In E U ( J E a a’ 0 0 U, 0 FIGURE 11. EFFECT OF PRIMARY AUTO-EXHAUST PARTICLES ON THE SURFACE DISTRIBUTION OF SECONDARY AEROSOLS (IRRADIATED AUTO EXHAUST. 16 PPM C HYDROCARBONS) Particle Diameter (Dr), m ------- 20 Thus the differences in light scattering observed upon irradiation of filtered and unfiltered auto exhaust can be explained primarily by differences in the resulting aerosol surface distribu- tions rather than by differences in total volume of photochemical aerosols generated. Low Versus Zero Primary Aerosol Levels. Another series of exhaust experiments w.ts conducted using two similar automobiles, one operating on leaded fuel and the other on nonleaded fuel. The history of these two automobiles, provided by the EPA/CRC Project CAPE-19 committee, is well documented. t18 For these experiments, suitably high HCINOX ratios were obtained by adding a synthetic mixture of auto-exhaust hydrocarbons to actual exhausts emitting from the cars operating in their normal configuration. The ratio of synthctic/ actual exhaust was 5/3. Because the cars were operated normally and the actual exhaust was diluted with synthetic exhaust, the amounts of primary aerosol present before irradiation were much less than in the preceding experiments using the API automobile. With unleaded fuel, the initial aerosol surface-area concentration was only ‘50 pm 2 cm - 3 , with leaded fuel, it was ‘-‘SOO pm cm- 3 . Because of the small concentration of primary aerosol, no substantial differ- ences in the size distributions and volume concentrations were observed in comparing the filtered- and unfiltered-exhaust experiments As indicated in Table 1, there was no apparent difference in the photochernical reactivity of exhausts derived from leaded or nonleaded fuel. Respective rates of NO oxidation, maxiinuin 03 and aldehyde concentrations, and the degree of eye irritation were also similar for both types of exhaust. In conclusion it appears that preexisting (primary) aerosols have little ellect on the volume of aerosol matenal produced by photochemical processes. However, at aerosol surface concentra- tions similar to those in the atmosphere, suboptical-size aerosols effectively increase the sue of the aerosols formed secondanly, which is likely to increase the total amount of light scattering and thus account for observations reported in the EF-2 program.t 1 1) REFERENCES (1) Miller, D. F, and Levy, A., “Aerosol Formation in Photochemical Smog The Effect of Humidity and Small Particles”, presented at the Third International Clean Air Congress, Dusseldorf, Germany (October, 1973). (2) Whitby, K. T., Clark, W. E., Marple, V. A., Sverdrup, G. M., Willeke, K., LuLl, B.Y.H., and Pui, D.Y.H., “Evolution of the Freeway Aerosol”, presented at the ACS Annual Meeting, Chicago, Illinois (August, 1973). (3) Whitby, K. T., Wilson, W. E., Pui, D.Y.H., Miller, D. F., Levy, A., Kittelson, D. B., and Cantrell, B K., “Effect of Stirring on Aerosol Production in a Smog Chamber”, presented at the ACS Annual Meeting, Chicago, Illinois (August, 1973). (4) Miller, D. F, Wilson, W. E., Pui, D.Y.H., Whitby, K. T., and Levy, A., “The Size Distribution and Concentration of Combustion and Photochemical Aerosols Attributable to Automobiles”, paper No. 74-1 5 I, presented at the 67th Annual Meeting of the Air Pollution Control Association, Denver, Colorado (June, 1974). ------- 21 and 22 (5) Scofield, F., Levy, A., and Miller, S. E., National Paint, Varnish and Lacquer Association, Inc., Circular No. 797 (January 3 1969). (6) Tuesday, C. S., “Chemical Reactions in the Upper and Lower Atmosphere”, lnterscience, New York, New York (1961). (7) Pitts, J. N., Jr., Vernon J. M., and Wan, J.K.S., Intern. J Air and Water Poll. 9, 595-600 (1965). (8) Gordon, R. J., “Pilot Study of Ultraviolet Radiation in Los Angeles”. J. S. Nader (Ed.), National Air Pollution Control Administration, Durham, North Carolina (1967). (9) Whitby, K. T., Liu, B.Y.H., Husar, R. B., and Barsic, N., Jr., “The Minnesota Aerosol- Analyzing System Used in the Los Angeles Smog Project”, J. Colloid Interface Sci., 39, 136 (April, 1972). (10) Levy, A., Miller, D. F., Hopper, D. R., Spicer, C. W., and Trayser, D. A., “Motor Fuel Composition and Photochemical Smog”, Battelle-Columbus Interim Report to the American Petroleum Institute on Project EF-8 Report No. CEA-4 (December, 1973) (11) Wilson, W. E., Jr., Miller, D. F., Levy, A., and Stone, R. K., J Air Poll Control Asso, 23(11), 949-56 (1973). (12) Morris, E., and Niki, H., J. Phys. Chem., 75, 3640 (1971). (13) Demcrjian, K. L, Kerr, J. A., and Calvert, J. G., Adv. in Environ Sci and Tech, 4 (1973) (14) Cox, R. A., and Penkett, S. A., Trans. Faraday Soc., 1, 68, 1735 (1972). (15) Qark, W. E., and Whitby, K. T., “Measurement of Aerosols Produced by the Photochemical Oxidation of SO 2 in Air”, Particle Laboratory Publication No. 181, University of Minnesota (July, 1972). (16) Perry, J. H., Chemical Engineer’s Handbook, 4th Edition, McGraw-Hill, New York (1963), pp 3-79. (17) Sidebottom, H. W., Badcock, C. C., Jackson, G. E., Calvert, J. G., Reinhardt, C. W., and Damon, E. K., Envi. Sd. & Tech., 6(l), 72 (January, 1972). (18) Melton, C. W., Mitchell, R. 1., Trayser, D. A., and Foster, J. F., “Chemical and Physical Characterization of Automobile Exhaust Particulate Matter in the Atmosphere”, Battelle-Columbus Final Summary Report to the Coordinating Research Council (CAPE 19-70) and the Environmental Protection Agency (Contract No. 68-02-0205) (June, 1973). ------- A-i APPENDIX A EXPERIMENTAL METHODS Automobile Exhaust Generation and Sampling Chassis Dynamometer Operations The chassis dynainomcter used in this program is a Clayton Model C’T-200 with a variable- inertia flywheel assembly capable of simulatmg vehicle weights from 1500 to 5500 pounds Automobiles were operated by an automated speed controller actuating servomotors to the brake and accelerator. The speed controller functions as a closed-loop system that varies vehicle speed to match a speed-versus-time program prerecorded on magnetic tape. A slightly modified version of the 1972 Federal driving schedule was used for the experi- ments. This driving cycle, often referred to as the LA-4 cycle, consists of 22.8 minutes of acceleration, cruising, deceleration, and idle modes covering 7.5 miles. The Federal Test Pro- cedure requires the test car to be started cold from an overnight soak (at laboratory tempera- ture) and almost immediately started into the cycle. To minimize the danger of engine stall during a run, this procedure was modified by including a preliminary “prep” cycle before the actual exhaust-sampling cycle, and to cool the engine and exhaust system for 45 minutes using an external coolant heat exchanger, an exhaust-system cooling blower, the radiator fan, and a cooling air stream on the choke box, carburetor, and intake manifold. During this 45-minute rapid cooldown, all measured temperatures, with the exception of the oil-sump temperature, were decreased to 80 F or below Vehicles and Fuels Exhausts irradiated in Experiments AA-024 and AA-025 were generated from a 1971 Chevrolet used concurrently on an API program (Project EF-8) at Battelle-Columbus. The API agreed to supply the automobile and fuel for these expenments in exchange for a report on the results. The Chevrolet, a BelAir 4-door sedan equipped with a 350-CID V-S engine and two-barrel carburetor, had been operated only on unleaded fuel. The original HC/NO ratio of the car’s exhaust was too low for practical smog-chamber experimentation. Therefore, a “California camshaft” was installed and the main carburetor jets (0.058-inch bore) were replaced with jets of larger bore (0.067 inch). As documented in the EF-8 program t ‘° , these modifications had little or no effect on the hydrocarbon composition of the exhaust, but increased the total hydro- carbon, CO . and aerosol emissions. Fuel used in both experiments was API No. 13A (nonleaded) consisting of 5) percent paraffins, 13 percent olefins, and 32 percent aromatics by weight. For experiments AA-032 through A.A-038, two similar 1970 Fords were used for generating exhaust from leaded and nonleaded fuel. The history of these cars has been carefully monitored for comparing leaded- versus nonleaded-fuel effects on primary particulate emissions. 1 8) Both cars are Fairlane two-door hardtops equipped with 35 1 CID V-8 engines, and two-barrel carburetors. Operation of these cars on the chassis dynamometer was the same as that described ------- A-2 above for the API vehicle. The CRC-CAPE-19 fuels, with and without TEL additive (2.45 g Pb/gal), consisted of 63 percent paraftins, 6 percent olefins, and 29 percent aromatics by weight. No modifications were made to these cars to increase the HC/NO ratio. lnstead, synthetic- exhaust hydrocarbons were added to the actual exhaust to increase the ratio for the smog- chamber experiments. Sample Transfer The goal in auto-exhaust sampling is to produce and transport to the smog chamber an emission sample reasonably representative of vehicle emissions on roadways The exhaust- sampling facility used on this program is shown schematically in Figure A-I. An exhaust-diverter valve (between the tailpipe of the car and the dilution tunnel) controls the period when the exhaust gases are passed through the tunnel. The dilution tunnel was designed to rapidly quench and thoroughly mix the exhaust gases with clean filtered air, and to establish a flat and reproducible velocity profile at the sampling position. The tunnel is constructed of stainless steel (11-1/2 niches in diameter and 20 feet long), and includes a charcoal filter, an absolute filter, and a mixing orifice at one end and a sampling tube and CVS (constant-volume-sampling) system at the other end. The CVS system induces the dilution-air and exhaust-gas flow through the tunnel. The unit is an Olson Laboratones Model No. 45A-R3 with a four-speed pump motor. During all exhaust-sampling runs the total flow rate was 340 scfm. The volume flow rate of exhaust into the tunnel varied from 15 to ISO cfm. The average dilution-air/exhaust-gas ratio over the entire driving cycle is about 10/I. In an effort to increase this ratio, thereby niinimi7ing the coagulation rate of primary aerosols, an exhaust splitter was installed which diverted only one-fourth the exhaust into the tunnel. This dilution procedure (yielding an average ratio of 40/I) was used on Runs AA-033, AA-035, and AA-036. As illustrated in Figure A-l, a portion of the diluted exhaust is delivered from the near end of the tunnel to a Teflon holdmg bag (550-cu ft capacity) contained in a rigid box. During collection, near-isokinetic flow from the tunnel to the bag is achieved by maintaining a constant subatmospheric pressure on the bag. At the conclusion of the driving cycle, the contents of the bag are passed to the smog chamber by applying super-atmospheric pressure on the bag. FIGURE A-i. SCHEMATIC OF LABORATORY FACILITY FOR GENERATING AND SAMPLING AUTO EXHAUST Project car Exhaust chassis dynamomel er line Pressure or vacuum tine To smog chamber ------- A-3 For experiments where the total exhaust flowed into the dilution tunnel (Runs AA -024, AA-025, AA-032, AA-034, AA-037, and AA-038), rapid coagulation of primary aerosol was forestalled by filling the bag half full of filtered air before introducing the exhaust emission. Despite only moderate increase in overall dilution (20/1 rather than 10/1), this technique is fairly successful because the emission associated with the first few minutes of the driving cycle and containing the greatest amount of aerosol is initially diluted manyfold. Obviously, actual roadway operation of an automobile provides dilution of exhaust more rapidly than can be provided practically in the laboratory, where constant volume sampling and other experimental constraints are imposed. At the overall dilution ratio of 20/1, the cumulative coagulation of primary aerosols (nonleaded fuel combustion) occurring during the 23-minute driving cycle resulted in a unimodal distribution of aerosol surface, with the mode occurring at a particle diameter of 0.1 1Am. Diluting 40/1 in the dilution tunnel resulted in a bimodal distribution of aerosol surface, the major mode occurring at a particle diameter of 0.03 pm and a minor mode at about 0.3-pm diameter. Dr. Whitby and his colleagues have recently demonstrated that the major mode in the surface distribution of primary auto-exhaust aerosols having undergone dilution along otherwise unpolluted highways is near 0.02 pm. 2 Size-distribution measurements (MAAS) taken directly in Battelle’s dilution tunnel confirm that the initial mode in the size distribution is near 0.02 pm, and that the growth in particle size upwards from 0.02 pm is due to the coagulation of aerosols dunng the collection period. The lifetime of these very small aerosols in urban atmospheres and in heavily trafficked areas is uncertain and will depend on many factors, including particle concentration, turbulence, and the rate of photochemical activity. Eye-Irritation Measurements Measures of eye irritation were made by a 24-member eye-panel team chosen from Battelle-Columbus staff. Panelists selected were distributed among three 7-member teams (plus an alternate) according to their responses to three chemical systems: (1) Clean air (with lights on during eye test) (2) 2-butene (4 ppm), NO (1.1 ppm), NO 2 (0.9 ppm) - irradiated (3) Toluene (4 ppm), NO (1 ppm), NO 2 (1 ppm) — irradiated. The last two systems were selected to expose the panelists to PAN and presumable PbzN, respectively, as well as to significant levels of formaldehyde. The formaldehyde levels in these two reactions were 0.7 ppm in the trans-2-butene system and 0.1 ppm in the toluene system. Response times of the panelists were as follows: Clean Air Trans-2-Butene Toluene Mean Time, equivalent sec 342 66 82 Index 0.28 7.8 7.5 ------- A-4 The mean time in equivalent seconds is defined as the antilog of the geometric-mean response time. The index is defined as l0 [ (360-t)J, where t is the response time. Maximum exposure time was 360 seconds. For all experiments with auto exhaust, two teams (14 panelists) were exposed during the fifth hour of irradiation. For most experiments with specific hydrocarbons and synthetic exhaust, panelists were exposed about 2 hours after the time of maximum NO 2 concentration. One team of panelists was seated for all experiments. The other two teams alternated froii experiment to experiment. Detailed data of all eye-panel measurements made in this program are presented in the supplementary Data Report. An example of the eye-data tabulation for one experiment (AA- 032) is shown below. RU ’ AA-1132 5/ ?/73 (3: 15) 1U L E—l4l6 LYE 1scR [ IA! 1¼3 1’J hESP 4SES AND INDICES NAME N I-’ T L3C (T) INL)EX SEvEt I F’i A IN0r ( C 1EA’ ) T.DEV.Ci iLtC i),S ST. LkiJ. 1’, J : ‘L ) , 5/ 53. [ Si. (1 ‘I) EC’JI’v’ L NT C Nfl J MEA’.i ‘i iEN 3T [ S I r—.I 1 • ii: ..i i •. , 1 )E’J JTL.S L) ( I) I’)! ’. 4 = . VE..I ? I i 4’:; L! SI i : i •VSi )N 5 i F ES i •- ‘ 0E .< JZ “i I’)SI iIJJ .‘\T 1HE CHt’ i ’ fl’ TIME. L’J S!CJNDS 1) Li(: •)1 I ES J 4• j [ ’4•.’ - T’ 3 0 i .J—3 .4lIN i i:•: it f 5 I .\iI j t 1 1• \‘ .L T L)LCK CLA!*< ‘ALi CH.\PIN J )E EJII E3t)rl C0’JLØ.’J T?AY DJ01Th CriAI LE.5 0U [ L ’ ‘ Ai GAi ) !3 )i3 LIT1L. : > 4; (3A, Ei flELL kAY ii\ ,CEi f H I (:Rr’a, 1 J ‘IILL < I (Lt Y , A:JLI ‘JI•.. fl\tJ’ i L i . 1 I I i C.< (;)>1,’JT ’\ I I3.’ 11) 15 13 16 2 4 1 23 2! ii Ij 52. 1 143. 2 207. 5 190. C) 360. 3 35. — I r .jj. I; H)5. 7 124. Ii 236 2 157. 5 141. 3 4 ) . 1 124. 151. — ) f 23. 56 6. u3 ‘i.25 zl. 7 ) (1. 00 9. 0..3 . :31 /. u: 6. :D6 3. j1i 5. 54 1. US • .. . 79 2. 110 ‘‘. 64 I • 71 6 2. 1 55 2.316 2 • 2 79 2.556 I • 544 2.312 2.021 2.093 2.3 7 4 2. 196 2. 1 119 1. 623 2. (19:3 2. 10 0.29 0. 0 1 2 6. 2 2 0 J I • ‘1 ------- B-i APPENDIX B SUMMARY OF AEROSOL COLLECTIONS TABLE B-i. SUMMARY OF AEROSOL COLLECTIONS BY FILTRATION Sampling Sample Weight Time, Volume. Gain, Run Sample Description(a) Type of Filter mm ft 3 mg - Dispositmon(b) AA-005 Toluene-NO 4-in, glass — 388 10.1 BCL AA-006 Toluene.NO 4-in, glass — 353 11.1 BCL AA-007 ToIuene-N0 4.in. glass — 392 3 1 BCL Gold disk 25 8.8 — Ditto 1 -in. glass 25 8.8 — AA-008 1.heptene.NO 4-in, glass — 370 1 9 BCL AA.009 1.heptene-NO 4-in, glass — 382 0.7 BCL AA-010 1-heptene.NO 4-in, glass — 315 0.7 BCL AA-011 Benzene-N0 4.in. glass — 338 1.1 BCL AA-012 Toluene.mesitylene.NO 4-in, glass — 360 3.4 BCL Gold disk 30 10.5 — Ditto 1-in glass 30 10.5 — AA-U15 Benzene-NO -SO 2 4-in, glass — 374 1 5 BCL AA-016 SO 2 4-in, glass — 374 1.8 BCL AA-019 Propylene-0 3 -S0 2 -dark 4-in, glass — 435 3.2 BCL Nuclepore 42 6 — Ditto AA-020 -Pmnene-NO Nuclepore 42 6 BCL Gold disk 30 7 1 Ditto 1-in, glass 30 7.1 AA-021 1-heptene-0 3 -dark 4-in, glass — 430 08 BCL Nuclepore 27 10 — Ditto Gold disk 30 10.5 — 1-in glass 30 10.5 — AA-022 1-heptene-0 3 -S0 2 -dark 4-in, glass — 500 4 0 BCL Nuclepore 28 10 — Ditto Gold disk 30 10.5 — 1-in, glass 30 10.5 — AA-023 Toluene-NO -CN 4-in, glass — 346 BCL Nuclepore 30 10 Ditto AA-024 Auto exhaust — smog 4-in, glass — 374 1.7 BCL Nuclepore 30 10 — Ditto Silver 26 10 — Auto exhaust — primary Nuclepore 22 22 — Silver 22 22 — AA-025 Auto exhaust — smog 4-in, glass — 385 1,4 BCL Nuclepore 7 7 — Ditto Silver 7 7 — Auto exhaust — primary Nuclepore 30 10 — Silver 22 11 — ------- B-2 TABLE B-i. (Continued Sampling Sample Weight Time, Volumes Gain. Run Sample Description(a) Type of Filter mm ft 3 mg AA-028 1.heptene.NO -SO 2 4-in, glass 46 313 0.9 BCL Nuclepore 30 10 — EPA 1-in, glass 25 9 — BCL Millipore 53 — 0.004 EPA Silver 16 10 — EPA AA-029 1-heptene-NO .SO 2 4-in glass 47 317 0.75 BCL Nuclepore 66 21 — EPA l.in. glass 46 16.5 — BCL Mullipore 55 — —0.002 EPA Silver 17 10 — EPA AA-030 1-heptene-NO 4-in, glass 53 342 0.5 BCL Nuclepore 63 21 — EPA 1-in, glass 30 10.8 — BCL Millipore 61 — 0.007 EPA Silver 17 10 — EPA AA-031 1-heptene-NO -CN 4-in, glass 51 334 0.59 BCL Nuclepore 56 20 — EPA 1-in, glass 28 10 — BCL Millipore 60 — 0.004 EPA Silver 20 11 — EPA AA.032 Auto exhaust-CN 4.in. glass 52 338 0.56 BCL Nuclepore 56 20 — EPA 1-in, glass 31 10 — BCL Millipore 62 — 0.022 EPA Silver 17 10 — EPA AA-033 Auto exhaust 4.in, glass 51 327 0.54 BCL Nuclepore 56 20 — EPA 1-in.glass 31 11 — BCL Millipore 66 — 0015 EPA Silver 16 10 — EPA Before irradiation Ab-Nuclepore — 2 EPA After irradiation Ab-Nuclepore — 5 EPA AA.034 Auto exhaust — filtered 4-in, glass 52 355 0 47 BCL Nuclepore 55 20 — EPA 1-in glass 26 9 — BCL Millipore 65 — 0005 EPA Silver 16 10 — EPA AA-035 Auto exhaust (leaded) 4-in, glass 56 348 0 42 BCL Nuclepore 57 25 — EPA 1-in, glass 34 12.2 — BCL Millipore 65 — 0.005 EPA Silver 16 10 — EPA ------- B-3 TABLE B-i. (Continued) Run Sample Description(a) Type of Filter Sampling Time, mm Sample Volume, ft 3 Weight Gain, mg o spos 1 t 1 o n(b) AA-036 Auto exhaust (leaded) Before irradiation 4-un. glass Nuclepore 1-in, glass Millipore Silver Ab-Nuclepore 50 46 38 66 26 — 334 20 13.6 — 12 2 0.36 — — 0.017 — — BCL EPA BCL EPA EPA EPA After irradiation Ab-Nuclepore — 5.5 — EPA AA-037 Auto exhaust (leaded) — filtered 4-in, glass Nuclepore 1-in, glass Millipore Silver 61 74 32 62 20 369 25 11.5 — 10 0.43 — — 0.022 — BCL EPA BCL EPA EPA AA-038 Auto exhaust (leaded) — filtered 4-in, glass Nuclepore 1-in, glass Millipore Silver 49 71 32 64 18 349 24 11.5 — 10 0.45 — — 0.008 — BCL EPA BCL EPA EPA (a) Experimental conditions Uniess otherwise indicated, au aerosol samples were withdrawn from the smog chamber after irradiation (b) EPA. fiiters mailed to Project Officer at EPA BCL, fuiters retained at Batteiies Columbus Laboratories ------- |