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Weekend/Weekday Ozone Observations in the South Coast Air Basin

Weekend/Weekday Ozone Observations in the South Coast Air Basin

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<strong>the</strong> freeway, and <strong>the</strong> daily m<strong>in</strong>imum NOx concentrations are measured dur<strong>in</strong>g this period.<br />

Dur<strong>in</strong>g summer nights, <strong>the</strong> w<strong>in</strong>ds are calm and typically offshore caus<strong>in</strong>g <strong>the</strong> highest NOx<br />

concentrations to occur overnight.<br />

Like CO, VOC shows no discernible differences between weekdays and weekends that<br />

might be ascribed to changes <strong>in</strong> emission patterns, and day-to-day variations track <strong>the</strong> trend <strong>in</strong><br />

meteorological conditions. Figures 4.3-7 and 4.3-8 show <strong>the</strong> diurnal and day-to-day variations <strong>in</strong><br />

CO, nonmethane hydrocarbons, and nonmethane organic gases at Azusa and Pico Rivera,<br />

respectively. The effect of Pico Rivera’s microenvironment is also evident on <strong>the</strong> diurnal<br />

variations of CO and VOC. Accord<strong>in</strong>gly, <strong>the</strong> VOC/NOx ratios are more variable at Pico Rivera<br />

than at <strong>the</strong> Azusa monitor<strong>in</strong>g station. Figure 4.3-9 shows that <strong>the</strong> VOC/NOx ratios at Azusa are<br />

consistently about five dur<strong>in</strong>g <strong>the</strong> weekdays with little diurnal variation. Ratios were greater<br />

dur<strong>in</strong>g <strong>the</strong> weekends, rang<strong>in</strong>g between 5 and 10. In contrast, <strong>the</strong> ratios at Pico Rivera are<br />

considerably more variable with ratios around five dur<strong>in</strong>g <strong>the</strong> night and ratios <strong>in</strong> <strong>the</strong> range of 15<br />

to 20 dur<strong>in</strong>g <strong>the</strong> afternoon. The large afternoon ratios are due to low NOx concentrations<br />

result<strong>in</strong>g from <strong>the</strong> impact of a well-mixed, aged air mass dur<strong>in</strong>g this time of day.<br />

4.4 Source Apportionment of VOC<br />

The Chemical Mass Balance (CMB) receptor model consists of a least-squares solution to<br />

a set of l<strong>in</strong>ear equations, which expresses each receptor concentration of a chemical species as a<br />

l<strong>in</strong>ear sum of products of source profile species and source contributions. The source profile<br />

species (<strong>the</strong> fractional amount of <strong>the</strong> species <strong>in</strong> <strong>the</strong> VOC emissions from each source type) and<br />

<strong>the</strong> receptor concentrations, each with uncerta<strong>in</strong>ty estimates, serve as <strong>in</strong>put data to <strong>the</strong> CMB<br />

model. The output consists of <strong>the</strong> contributions for each source type to <strong>the</strong> total ambient VOC as<br />

well as to <strong>in</strong>dividual VOC species concentrations. Gasol<strong>in</strong>e and diesel exhaust profiles were<br />

derived from samples collected dur<strong>in</strong>g <strong>the</strong> field study along <strong>the</strong> Harbor Freeway (HF1) and at <strong>the</strong><br />

truck stop near I-10 and I-15. Profiles for fuels were developed from analysis of gasol<strong>in</strong>e<br />

samples collected dur<strong>in</strong>g <strong>the</strong> field study. In addition to <strong>the</strong> relative contributions of gasol<strong>in</strong>e and<br />

diesel exhaust, <strong>the</strong> detailed speciation of VOC from <strong>the</strong> mobile sampl<strong>in</strong>g and <strong>the</strong> time-resolved<br />

VOC speciation at Los Angeles, Azusa, and Pico Rivera monitor<strong>in</strong>g stations provide source<br />

attribution of o<strong>the</strong>r sources of VOC by time of day and day of <strong>the</strong> week. These analyses address<br />

questions regard<strong>in</strong>g <strong>the</strong> source contributions of VOC carried over from <strong>the</strong> previous even<strong>in</strong>g and<br />

<strong>the</strong> relative importance of sources o<strong>the</strong>r than gasol<strong>in</strong>e and diesel combustion sources <strong>in</strong> <strong>the</strong><br />

diurnal variations <strong>in</strong> VOC/NOx ratios.<br />

4.4.1 Source Composition Profiles<br />

The profiles are expressed as weight percentages and are normalized to <strong>the</strong> sum of <strong>the</strong> 55<br />

Photochemical Assessment Monitor<strong>in</strong>g Station (PAMS) target NMHCs. The PAMS species<br />

typically account for 70 to 80 percent of <strong>the</strong> total ambient hydrocarbons at most urban locations.<br />

The PAMS hydrocarbon data are ideally suited for CMB analysis because of <strong>the</strong> level of<br />

hydrocarbon speciation, consistency among networks <strong>in</strong> measurement methods and quality<br />

assurance, and <strong>the</strong> available spatial and temporal resolution of <strong>the</strong> data. Compounds o<strong>the</strong>r than<br />

<strong>the</strong> 55 PAMS species that are identified by <strong>the</strong> DRI laboratory are reta<strong>in</strong>ed <strong>in</strong> <strong>the</strong> database<br />

<strong>in</strong>dividually and as a subtotal named “OTHER.” Compounds reported as "unknown" are grouped<br />

4-8

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