Smog chambers and modeling studies have shown that the atmospheric chemistry leading to ozone production exhibits significant nonlinearity. This means that a decrease in ozone precursor concentration may or may not lead to a decrease in ozone. Under some circumstances such decrease may lead to an increase in ozone. Because of this non-linearity mathematical models are needed to simulate ozone production and probable response to precursor reduction.

Our group incorporates the Comprehensive Air Quality Model with extensions (CAMx) for air quality studies in the Houston-Galveston area. CAMx is an Eulerian photochemical model that allows for assessment of gaseous and particulate air polution.


In our study the Model is used to test different emissions reduction strategies based on the TCEQ base4a.pt_o2n2_070pbl data files for the Aug. 22 - Sep. 1, 2000 episode.

We have studied the following scenarios:

  • Case 1: A 20% reduction of Vehicle Miles Traveled (VMT)
  • Case 2: Doubling the number of SUV's
  • Case 3: Reducing all mobile emissions by 25%, 50%, 75% and 100%
  • Case 4: Reducing all point source emissions by 25%, 50%, 75% and 100%.

 

 

 

 

 

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