value for each Class I area.
We use example 6.2 to illustrate the modeled uniform rate of progress assessment. For
ease of presentation, we assume there are only 10 speciated samples for PM in the first of 5 years
comprising the base period. Since sampling will occur every third day, we anticipate a usual
sample size of about 120 days per year. We go through the calculations for the first base year
and then furnish information regarding mean deciviews for the other four base years to illustrate
subsequent steps in the test. The example uses the old IMPROVE algorithm. The procedure is
the same for the new IMPROVE algorithm.
Ten days have measured components of PM in a Class I area during the first year of a 5-year
base period. Table 6.2 below shows the measurements (in:g/m3) for each of the 10 days. Table
6.2 also shows the date of each measurement and the corresponding climatological relative
humidity adjustment factor (made up for this example) for the appropriate month and area.
The following uniform rate of progress has been calculated: (a) mean visibility on the 20% of
days with worst visibility should be improved by 2.0 deciviews; (b) mean visibility on the 20%
of days with best visibility should not deteriorate.
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castellano: DISPER CUSTIC DESCAR RADIA italiano:
deutsch: DIS CUS DES RAD
castellano: DIS CUS DES RAD english: DIS CUS DES RAD
português: DIS CUS DES RAD italiano: DIS CUS DES RAD
français: DIS CUS DES RAD