Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Methodology for Developing Modal Emission Rates for EPA's Multi-Scale Motor Vehicle and Equipment Emission System.
CORP Author North Carolina State Univ., Raleigh. Dept. of Civil Engineering.;Environmental Protection Agency, Washington, DC. Office of Air and Radiation.
Publisher Oct 2002
Year Published 2002
Report Number EPA-PR-CI-02-10493; EPA/420/R-02/027;
Stock Number PB2005-106976
Additional Subjects Exhaust emissions ; Models ; Data sources ; Emissions ; Validation ; Vehicle air pollution ; Mobile pollutant sources ; Remote sensing ; Hydrocarbons ; Carbon monoxide ; Carbon dioxide ; Nitrogen oxides ; Modal emission rates ; MOVES(Multi-scale mOtor Vehicle & equipment Emission System) ; Light duty vehicles ; MOVES model
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
NTIS  PB2005-106976 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 07/12/2006
Collation 290p
EPA is undertaking an effort to develop a new set of modeling tools for the estimation of emissions produced by on-road and off-road mobile sources. The product of this effort will be the Multi-scale mOtor Vehicle & equipment Emission System, referred to as MOVES. The design of MOVES is guided by the following four considerations: (1) the model should encompass all pollutants (e.g., HC, CO, NOx, particulate matter, air toxics, and greenhouse gases) and all mobile sources at the levels of resolution needed for the diverse applications of the system; (2) the model should be developed according to principles of sound science; (3) the software design of the model should be efficient and flexible; and (4) the model should be implemented in a coordinated, clear, and consistent manner. The objectives of this project are as follows: develop, demonstrate, and report an analytical approach for producing exhaust modal emission rates and emission rate disitributions for MOVES from a variety of data sources, possibly including aggregate (bag) data and RSD data; develop, demonstrate, and report a methodology for estimation of model uncertainty and variability in emissions estimates; validate the developed approach against an independent dataset; and develop a recommended step-by-step methodology for generating modal emission rates in MOVES.