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.