|
|
Emission estimates are
important for developing emission control strategies, determining applicability
of permitting and control programs, ascertaining the effects of sources and
appropriate mitigation strategies, and a number of other related applications
by an array of users, including federal, state, and local agencies,
consultants, and industry. The estimation of air emissions from industrial
facilities can be computed by using emission factors and/or emission models. An emission factor
is a representative value that attempts to relate the quantity of a pollutant
released to the atmosphere with an activity associated with the release of that
pollutant. At European level, the UNECE/EMEP Task Force on Emissions
Inventories and Projections has prepared the CORINAIR Emission Inventory
Guidebook, designed to provide a comprehensive guide to the state-of-the-art of
atmospheric emissions inventory methodology (see the Topic on How to develop urban Emission Inventories?) for each
of the emission-generating activities (for the industrial facilities see Group
1: Combustion in energy and transformation industries, Group 3: Combustion in
manufacturing industry, Group 4: Production processes Group 5: Extraction &
distribution of fossil fuels and geothermal energy Group 6: Solvent and other
product use, Group 9: Waste treatment and disposal). Other relevant
references for emission factors are EMEP/CORINAIR 2003; IPCC Revised 1996
“Guidelines for National Greenhouse Gas Inventories” and US EPA’s Compilation of Air Pollution Emission Factors, AP-42.
At U.S.A. level, the Emissions Modelling Clearing House (EMCH) has
been designed to support and promote emission modelling activities both
internal and external to U.S.-Environmental Protection Agency. Some examples of
emission models are the Landfill Air Emissions Model (a PC-based
software for estimating emissions of CH4, CO2, NMVOC and
hazardous air pollutants from municipal solid waste landfills), and the
EMS-HAP, an emissions model that prepares annual toxics emission inventory
data, for subsequent air quality modelling using, for example, the ISCST3
Gaussian model (Industrial Source Complex, Short Term, version 3: it is the
recommended model for a wide range of regulatory applications to study the
impact of industrial sources). Moreover the CALPUFF Lagrangian
dispersion model, developed by EPA, has been adopted by the U.S. Environmental
Protection Agency (U.S. EPA) in its Guideline on Air Quality Models as
the preferred model for assessing long range transport of pollutants and their
impacts on Federal Class I areas and on a case-by-case basis for certain
near-field applications involving complex meteorological conditions. CALPUFF model need to be driven by an emission inventory and CALMET
3-D meteorological diagnostic model. CALMET also drives CALGRID 3D Eulerian photochemical model recommended by EEA (European
Environment Agency). |