37Day specific emissions data, such as CEM data or wildfire data may be useful in the

base case modeling to improve model performance. But in some cases, it may not be appropriate

to project day-specific data to the future. For example, if a large power plant was shutdown for

maintenance during the base case period, it would not be logical to project zero emissions for

that source in the future (if it is assumed that the plant will be operating in the future year).

can be used to allocate emissions of other pollutants. CEM data are provided by EPA’s Clean

Air Markets Division in a format suitable for use in emissions processing at


Additionally, inventory developers are encouraged to focus their emissions data

collection, quality assurance, and emissions modeling efforts on the emissions sources that will

have the greatest impact on their modeling results. In other words, inventory developers should

devote the greatest attention to the sources that are most important: those in the immediate

nonattainment areas, or large sources that may be responsible for transport into the

nonattainment areas. Such a hierarchical approach to inventory development is described in


Inventories should be built using the most current, accurate, and practical methods

available. Several references are available for guidance on building emission inventories. The

first is the “Emissions Inventory Guidance for Implementation of Ozone and Particulate Matter

NAAQS and Regional Haze Regulations” (U.S. EPA, 2005e). Additionally, modelers may want

to consider EPA’s approaches used for developing the 2002 NEI. Available NEI documentation

may be used to help guide the development of the modeling inventory

(http://www.epa.gov/ttn/chief/net/2002inventory.html). Lastly, 10 volumes (many with several

chapters comprised of separate documents) have been issued by the Emission Inventory

Improvement Program (EIIP) for use in inventory development. Nine of these volumes are

relevant to creating emission inventories for ozone, PM, and regional haze modeling (U.S. EPA,




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