Title:
Applications of satellite retrievals in deriving pollutant emissions and trends

dc.contributor.advisor Wang, Yuhang
dc.contributor.author Zhang, Ruixiong
dc.contributor.committeeMember Huey, Greg
dc.contributor.committeeMember Ng, Nga Lee
dc.contributor.committeeMember Weber, Rodney
dc.contributor.committeeMember Lin, Jintai
dc.contributor.department Earth and Atmospheric Sciences
dc.date.accessioned 2020-01-14T14:40:17Z
dc.date.available 2020-01-14T14:40:17Z
dc.date.created 2017-12
dc.date.issued 2017-11-03
dc.date.submitted December 2017
dc.date.updated 2020-01-14T14:40:17Z
dc.description.abstract This dissertation employs various satellite retrievals and the 3-D Regional chEmical trAnsport Model (REAM) to (1) identify and quantify the emission sources, and (2) derive pollutant trends. 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. Second, we derive anthropogenic NOx emissions with 4km spatial resolution using Ozone Monitoring Instrument (OMI) NO2 retrieval in Yangtze River region during June-July-August (JJA) of 2005-2009 and 2010-2015. The NO2 emission inversion using High-resolution Daily Retrieval-Inversion (HDRI) method proves powerful in quantifying the effects of urbanization. The traditional bottom-up emission approach and super-sampling of satellite NO2 VCDs have difficulty diagnosing the detailed NOx emission changes, because of the low resolution and the spatial smoothing of data, respectively. Finally, we retrieve OMI tropospheric NO2 VCDs and obtain the NO2 relative 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 NO2 annual relative trends.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/62176
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Satellite retrieval
dc.subject Emission inversion
dc.subject Chemistry transport model
dc.subject Pollution transport
dc.subject Nitrogen dioxide trends
dc.title Applications of satellite retrievals in deriving pollutant emissions and trends
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Wang, Yuhang
local.contributor.corporatename School of Earth and Atmospheric Sciences
local.contributor.corporatename College of Sciences
relation.isAdvisorOfPublication 978cb158-0230-4051-b51e-c904074e42bc
relation.isOrgUnitOfPublication b3e45057-a6e8-4c24-aaaa-fb00c911603e
relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
thesis.degree.level Doctoral
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