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  <title><![CDATA[PhD Defense by Olga Kemenova]]></title>
  <body><![CDATA[<p><strong>School of Civil and Environmental Engineering</strong></p>

<p>&nbsp;</p>

<p><strong>Ph.D. Thesis Defense Announcement</strong></p>

<p>&nbsp;</p>

<p>Developing Correction Factors for Reference Fleet.&nbsp; The Case of Atlanta I/M Program Evaluation</p>

<p>&nbsp;</p>

<p><strong>By</strong></p>

<p>Olga Kemenova</p>

<p>&nbsp;</p>

<p><strong>Advisor:</strong></p>

<p>Dr. Michael Rodgers (CEE)</p>

<p>&nbsp;</p>

<p><strong>Committee Members:</strong></p>

<p>&nbsp;</p>

<p>Dr. Randall Guensler (CEE), Dr. Michael Hunter (CEE), Dr. Catherine Ross (CRP), Dr. Wayne Daley (GTRI/ATAS)</p>

<p>&nbsp;</p>

<p><strong>Date &amp; Time:</strong> Friday, November 1st, at 9:00 am</p>

<p><strong>Location:</strong> Sustainable Education Building (SEB), Room 122</p>

<p>&nbsp;</p>

<p>Roadside vehicle remote sensing is a common method to evaluate criteria pollutant emissions from vehicle<br />
fleets. A popular application of this method is the evaluation of the effectiveness of emissions reduction<br />
treatments (e.g. vehicle Inspection and Maintenance (I/M) programs) by comparing the emissions from the<br />
treated (experimental) fleet to those of an untreated (reference) fleet. Since no two large vehicle fleets are<br />
identical, the reference fleet is produced synthetically by application of correction factors. Current federal<br />
guidance assumes that closely located experimental and reference fleets behave similarly if normalized by<br />
model year distribution and Vehicle Miles Traveled (VMT). However inconsistency in the results from these<br />
evaluations questions whether these controls are sufficient to estimate emission reductions attributed to<br />
I/M with an acceptable level of uncertainty.<br />
In addition to age and mileage accumulation, emissions from vehicle fleets can be influenced by<br />
differences in a variety of other factors including differences in fuels and usage patterns and<br />
socioeconomic factors that can influence fleet composition and maintenance trends. This study evaluates<br />
the influence of variety of these factors in determining the reference fleet correction factors for the Macon<br />
and Augusta Georgia fleets for evaluation of the Atlanta, GA I/M program over a twelve-year period from<br />
1998 to 2010. A series of &quot;null&quot; experiments were conducted to evaluate factors that might affect<br />
emissions across vehicle fleets of the same model year distribution. These results showed in addition to<br />
model year and VMT, the reference fleet also required normalization by vehicle type and, in certain cases,<br />
fuel composition to produce a reliable reference fleet correction factors.</p>
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