Title: Characterization of Corpus Christi and San Antonio Air Quality During the 2020 Ozone Season
Institution(s) Represented: Rice University - Robert Griffin, University of Houston - James Flynn, Baylor University - Sascha Usenko
Lead PI: Robert Griffin, James Flynn, Sascha Usenko
AQRP Project Manager: Vincent Torres
TCEQ Project Liaison: Erik Gribbin
Awarded Amount: $288,727.00
Abstract
This project will focus on the air quality and atmospheric chemistry in two urban areas of Texas (Corpus Christi and San Antonio) that have received comparatively less attention from the local research community, despite having air quality issues documented by state and local monitoring efforts. A mobile air quality laboratory with the capability of measuring relevant trace gases, particulate matter, and meteorological parameters will be deployed during the latter part of the 2020 ozone season (late August - early October). Through combined stationary and mobile measurements, these measurements will allow characterization of the chemical nature of air being transported into Corpus Christi from the Gulf of Mexico (two weeks of stationary measurements), being transported out of Corpus Christi (one week of mobile measurements downwind), being transported into San Antonio (one week of mobile measurements upwind and two weeks of stationary measurements), and being transported out of San Antonio (one week of mobile measurements downwind). Data analysis will allow assessment of temporal and spatial patterns of air pollutants, determination of statistical values (mean, median, interquartile range, etc.) of air pollutant concentrations and particle compositions, calculation of important air quality parameters such as the production rate of ozone, and characterization of the organic fraction of the particulate matter to provide insight into the sources and chemical processes that impact its concentration. Data measured in the 2020 campaign also will be compared to data generated during the 2017 San Antonio Field Study, which occurred in the spring portion of the ozone season. These data analysis techniques will be supplemented by three-dimensional air quality modeling that will be evaluated through comparison to the measured data. The air quality modeling, among other topics, will be used to investigate response of predicted air pollutant concentrations to changes in emission inputs from a variety of source types.
Work Plan: projectinfoFY20_21\20-003\20-003 Scope.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Aug 2020.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Sep 2020.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Oct 2020.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Nov 2020.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Dec 2020.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Jan 2021.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Feb 2021.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Mar 2021.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Apr 2021.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR May 2021.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Jun 2021.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Jul 2021.pdf
Technical Report(s): projectinfoFY20_21\20-003\20-003 MTR Aug 2021.pdf
QAPP: projectinfoFY20_21\20-003\20-003 QAPP.pdf
Final Report: projectinfoFY20_21\20-003\20-003 Final Report.pdf
