Using high performance computers and three dimensional models to simulate the atmosphere, Dr. Vizuete works to improve understanding of the formation of atmospheric air pollution. His computer models improve comprehension of the extremely complex chemical and physical processes that occur in the atmosphere. A better understanding of the atmosphere, in turn, gives researchers the knowledge to improve the tools and methods that policy-makers use to make effective control strategies to clean the air above the dirtiest cities.
What excites Dr. Vizuete most about his research is that it makes a real impact on society. Millions of people in the world breathe dangerously polluted air. Through his work, he is able to provide scientific advice to those who make the decisions that can improve quality of life on an international scale.
Industry Expertise (3)
Areas of Expertise (11)
University of Texas-Austin: Ph.D., Chemical Engineering 2005
University of Texas-Austin: M.S., Chemical Engineering 2003
University of Missouri-Rolla: B.S., Chemical Engineering 1998
- American Meteorological Society
- American Meteorological Society
- Association of Environmental Engineering and Science Professors
- Air & Waste Management Association
Event Appearances (5)
Evaluation of aromatic chemical mechanisms
International Aerosol Modeling Algorithms Conference Davis, CA
Insights into Atmospheric Chemistry
National GEM Consortiums 2015 Annual Meeting Boston, MA
Heterogeneous HONO sources and ozone chemistry in Houston, Texas
Annual Community Modeling and Analysis System (CMAS) Conference Chapel Hill, NC
Effects of anthropogenic air pollution on health in the U.A.E.
Qatar University Life Science Symposium Doha, Qatar
Assessment of a regulatory model performance relative to large spatial inhomogeneity in observed ozone in Houston, TX
American Geophysical Union Fall Meeting San Francisco, CA
To quantify air quality impacts of airport-related hazardous air pollutants (HAPs), we carried out a fine-scale (4 × 4 km horizontal resolution) Community Multiscale Air Quality model (CMAQ) model simulation at the T.F. Green airport in Providence (PVD), Rhode Island. We considered temporally and spatially resolved aircraft emissions from the new Aviation Environmental Design Tool (AEDT).
In this study, we combine information from transportation network, traffic emissions, and dispersion model to develop a framework to inform exposure estimates for traffic-related air pollutants (TRAPs) with a high spatial resolution.
A combination of flow reactor studies and chamber modeling is used to constrain two uncertain parameters central to the formation of secondary organic aerosol (SOA) from isoprene-derived epoxides: (1) the rate of heterogeneous uptake of epoxide to the particle phase and (2) the molar fraction of epoxide reactively taken up that contributes to SOA, the SOA yield.
The chemical mechanisms used in regulatory air quality models typically allow for only homogeneous formation of nitrous acid (HONO), an important radical precursor. This study adds heterogeneous formation on surfaces as a HONO source to the Comprehensive Air quality Model with extensions (CAMx). Modeling was performed for the Houston, Texas, region on April 21, 2009.
This study shows that revising the reaction rate of NO2 + HO· → HNO3 improves simulated nitrogen partitioning and changes the simulated radiative effects of several short-lived climate forcers (SLCF). Both laboratory and field study analyses have found that the reaction rate should be reduced by 13–30% from current recommendations.