emissions (reflecting effects of growth and controls) should be simulated for the same days.

Take the (temporal) arithmetic mean concentration for each PM2.5 component (and coarse mass)

computed near the Class I monitoring site with future emissions and divide this by the

corresponding arithmetic mean concentration for each component obtained with current

emissions. The resulting quotients are the component-specific RRF’s. A separate set of RRF

values are calculated for the “worst” and “best” visibility days identified in step 2. The RRFs

are calculated using the identified 20% best and 20% worst monitored days at each Class I area.

This will likely be a different set of days at each monitor.

Step 4. Using the RRFs and ambient data, calculate future year daily concentration

data for the best and worst days.

Multiply the relative response factors derived in Step 3 times measured daily

concentration data for each component of PM2.5 and CM to get future daily estimates of species

concentrations for PM2.5 components and CM on “worst visibility” and “best visibility”days.

These multiplications produce future concentration estimates for SO4, NO3, OC, EC, Soil and

CM for each of the previously selected “worst” and “best” visibility days. This calculation is

performed for each best and worst day for the five year period using an RRF for each PM

component (a separate set of RRFs for the best days and the worst days)

.

Step 5. Use the information developed in Step 4 to compute future year daily bext

values for the best and worst days.

Use the future year concentration data calculated in step 4 to calculate future year daily

bext values for each PM component for each of the best and worst days for the five year period.

This is accomplished by applying either the old or new IMPROVE visibility algorithm

(equations 6.1 and 6.2).

Step 6. Use the daily total bext values from step 5 to calculate future mean deciview

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