||Air quality modeling technical support document : EGU mercury analysis.
||Environmental Protection Agency, Research Triangle Park, NC. Office of Air Quality Planning and Standards.
|| U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality Assessment Division,
Air quality--Standards--United States. ;
Air--Pollution--United States--Mathematical models. ;
Mercury deposition ;
Electric power generators ;
Air quality modeling ;
Tables (Data) ;
Heavy metals ;
Photochemical models ;
Electric Generating Unit (EGU) ;
Stationary point sources ;
Community Multi-scale Air Quality (CMAQ) model ;
Environmental Protection Agency
||Research Triangle Park Library/RTP, NC
||Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy.
||16 p. : col. maps, charts ; 28 cm.
||This document describes the air quality modeling performed by EPA in support of air quality and mercury deposition assessments related to large stationary point sources that generate electricity. A national scale air quality modeling analysis was performed to estimate the impact of the sector emissions changes on future year annual and 24-hour PM2.5 concentrations, 8-hr maximum ozone, total mercury deposition, as well as visibility impairment. Air quality benefits are estimated with the Community Multi-scale Air Quality (CMAQ) model. CMAQ simulates the numerous physical and chemical processes involved in the formation, transport, and destruction of ozone, particulate matter and air toxics. In addition to the CMAQ model, the modeling platform includes the emissions, meteorology, and initial and boundary condition data which are inputs to this model. Emissions and air quality modeling decisions are made early in the analytical process. For this reason, it is important to note that the inventories used in the air quality modeling and the benefits modeling may be slightly different than the final utility sector inventories presented in the RIA. However, the air quality inventories and the final rule inventories are generally consistent, so the air quality modeling adequately reflects the effects of the rule.
||"September 2011". Project Officer: Kirk Baker. Includes bibliographical references (p. 15-16). "EPA-454/R-11-008". PB2012-101609.
||Research Triangle Park, NC
||See also PB2012-101610.
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||Also available via the World Wide Web. Location last confirmed 01/05/12.
|Corporate Au Added Ent
||United States. Environmental Protection Agency. Air Quality Assessment Division.
||EGU mercury analysis
|PUB Date Free Form
||68A; 91A; 43F; 97R
|OCLC Time Stamp
|OCLC Rec Leader
||01425nam 2200361Ka 45020