详情

原文传递 Study of Moves Information for the National Emission Inventory.

题名：	Study of Moves Information for the National Emission Inventory.
关键词：	Air Pollution Abatement; Air Quality; Data Compilation; Hazards; Motor Vehicle Emissions; Motor Vehicle Emisson Simulator(moves); National Emissions Inventory(nei); Nitrogen Oxides; On-road Emissions;
摘要：	The U.S. EPA compiles the National Emissions Inventory (NEI) to provide a comprehensive nation-wide estimate of annual air emissions of criteria and hazardous pollutants from all sectors. The NEI is developed on a three-year cycle, reporting annual emissions every third year; the analysis year for the current cycle is 2011. During the development cycle EPA works closely with state, local and tribal environmental agencies to compile emissions inventories for each county in the U.S., down to very detailed subsector levels. The resulting compilation provides the official U.S. emissions inventory and serves as the basis for numerous efforts including trends analysis, air quality planning, regulation development and health exposure analyses. The 2011 NEI is the first to rely solely on EPAs Motor Vehicle Emission Simulator (MOVES) to estimate on-road emissions, replacing the MOBILE6 model used for the last several NEI versions (1999, 2002, 2005, and 2008). State/local/tribal air agencies were encouraged to submit county-level inputs for MOVES, to be used by EPA in developing the onroad inventory for their state. In conjunction with the switch to MOVES, EPA developed a standardized framework for agencies to submit MOVES input data culled from local sources, taking advantage of MOVES features to facilitate the processing and input of local data. As a result, local vehicle fleet and activity data were made available from 30 states, covering over 1,400 counties, representing one of the largest compilations of local MOVES data to date. Under contract with the Coordinating Research Councils (CRC) Atmospheric Impacts Committee, Eastern Research Group, Inc. (ERG) analyzed the submitted MOVES input data, focusing on three questions: (1) how do the methods used to generate the submitted data compare to best practice; (2) What is the range of data submitted for MOVES inputs, and how does it compare to MOVES defaults; And (3) how large is the change in MOVES emission predictions base
报告类型：	科技报告