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  <title><![CDATA[PhD Defense by Ruixiong Zhang]]></title>
  <body><![CDATA[<p>&nbsp;</p>

<p>COLLEGE OF SCIENCES</p>

<p><strong>SCHOOL OF EARTH AND ATMOSPHERIC SCIENCES</strong></p>

<p><strong>EAS Ph.D. Defense</strong></p>

<p>Ruixiong Zhang</p>

<p><strong>November 2, 2017</strong></p>

<p><strong>10:00 AM</strong></p>

<p><strong>Earth and Atmospheric Sciences</strong></p>

<p>Ford Environmental Science &amp; Technology (ES&amp;T)</p>

<p>311 Ferst Drive, ES&amp;TAtlanta, GA 30332-0340</p>

<p>Web: eas.gatech.edu</p>

<p><strong>ES&amp;T <strong>L1114</strong></strong></p>

<p><strong>Title:</strong>Applications of satellite retrievals in deriving pollutant emissions and trends</p>

<p><strong>Committee members: </strong>Dr. Yuhang Wang (Advisor), Dr. Greg Huey, Dr. Nga Lee Ng, Dr. Rodney Weber, Dr. JintaiLin (Peking University)</p>

<p><strong>Abstract: </strong>This dissertation employs various satellite retrievals andthe 3-D Regional chEmicaltrAnsportModel (REAM) to(1) identify and quantify the emission sources, and (2) derive pollutant trends.</p>

<p>First, we use short-lived reactive aromatics as proxies to diagnose transport of pollutants through the Himalayas to Tibet. We find enhancements of reactive aromatics over Tibet by a factor of 6 on average due to rapid transport from India and nearby regions during the presence of a high-altitude cut-off low system.</p>

<p>Second, we derive anthropogenic NOx emissions with 4km spatial resolution using Ozone Monitoring Instrument (OMI) NO2retrieval in Yangtze River region during June-July-August (JJA) of 2005-2009 and 2010-2015. The NO2emission inversion using High-resolution Daily Retrieval-Inversion (HDRI) method proves powerful in quantifying the effects of urbanization.</p>

<p>Finally, we retrieve OMI tropospheric NO2VCDs and obtain the NO2relative trends over the United States. We improve the OMI retrievals for trend analysis by removing the ocean trend, using MODerate-resolution Imaging Spectroradiometer(MODIS)albedo data in air mass factors (AMFs) calculation, and applying lightning event filter to screen data. These improvements result in close agreement (within 0.8% yr-1) between EPA AQS in situ and OMI-based NO2annual relative trends.</p>
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