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212    De s i g n


             Air Dispersion Model
             Both the ambient air quality impact assessment and the risk analysis are based upon
             an air dispersion modeling analysis. Generally, the exhaust plume of a CHP system
             will be concentrated upon exiting the stack, but disperses in a bell-shape pattern as it
             travels downwind. The Gaussian algorithm can be used to estimate the dispersion of
             the plume. Computer models such as U.S. EPA’s Industrial Source Complex Short
             Term (ISCST) and the  American Meteorological Society/EPA Regulatory Model
             (AERMOD) incorporate the Gaussian algorithm to estimate the diffusion properties
             of the exhaust plume, and also take into account exhaust velocity and temperature.
             These models also consider meteorological and topographical characteristics that are
             unique to the project location. Once the project’s plume dispersion is understood,
             then the concentration of specific pollutants at specific locations surrounding the
             project can be analyzed to determine the associated air quality impacts and potential
             health risks.

             Air Quality Impact Analysis
             Table 12-1 provides a summary of the impacts of various pollutants. Regulatory agen-
             cies often establish health-based standards for ambient concentrations of pollutants
             such as NO , CO, SO , and PM. They may also restrict the degree to which a project can
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             contribute to existing ambient concentrations of these pollutants. If the concentration of
             a pollutant from a CHP project are likely to cause an ambient air quality standard to be
             exceeded or if it significantly adds to what is already a violation of an ambient air
             quality standard, the CHP project could be rejected by the permitting authority. By
             using a dispersion model to determine downwind exhaust dispersion properties, com-
             bined with the emissions inventory, it is possible to estimate the project’s contribution
             to local or regional ambient air quality and determine the off-site concentrations of a
             pollutant that originates from the proposed CHP project. The modeling analysis can
             also demonstrate the anticipated cumulative concentration of a pollutant from both the
             proposed project and existing sources.

             Health Risk Assessment
             An additional assessment may be required to estimate the health risks that can be
             attributed to a CHP project. Health risk assessments rely upon the air dispersion model
             results, combined with the hazardous pollutant emission inventory, to determine peak
             short-term and average long-term pollutant concentrations at locations where people
             may live and work (receptors). The concentrations are then measured against pollutant-
             specific toxicology data to determine the increased health risks attributed to each
             pollutant. The toxicological data are published by health agencies and generally reflect
             the results of empirical studies.
                Three types of health impacts are typically analyzed. The most common is an
             assessment of increased cancer risk that may be expected for nearby receptors. This
             risk exists due to the extended exposure to certain pollutants over a lifetime. A cancer
             risk assessment may include a determination of both individual risk and the cancer
             burden of an entire community (number of potential cases, based upon individual
             risk). Additional analyses may also be required to identify chronic noncancer health
             risks that are attributed to long-term exposure to certain pollutants. Finally, analyses
             may identify acute health risk that may be attributed to short-term exposure to
             certain pollutants.
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