The approach takes into consideration the biological
aspects of cumulative exposures (e.g., W126) and repeated occurrences
of high hourly average concentrations (i.e., the number of hourly
average concentrations greater than or equal to 0.10 ppm).
However, it is very important to note that identifying
areas of concern or predicting growth losses and changes to the
ecosystem, requires realistic predictions for the ozone exposures.
It is important that the W126 and N100 values be realistic. If
the predicted hourly average concentration distributions are
not realistic and similar to the concentration patterns occurring
in the region, then any biological modeling exercise based on
these inappropriate air quality exposure predictions will result
in the production of science fiction. One of A.S.L. & Associates'
areas of expertise is assessing how realistic ozone predictions
are based on chemical modeling.