Title:
Development and evaluation of modeling techniques for the study of interactions between urban and point source plumes and regional atmospheres in the formation of secondary pollutants

dc.contributor.author Odman, Mehmet Talat en_US
dc.contributor.author Kahn, Maudood Naeem
dc.contributor.author McRae, D. Scott
dc.contributor.author Karimi, Hassan
dc.contributor.author Goodchild, Michael
dc.contributor.author Russell, Armistead G.
dc.contributor.author Srivastiva, Ravi
dc.contributor.author Narayanswami, Kushul
dc.contributor.author Al-Ashab, Samer
dc.contributor.corporatename Georgia Institute of Technology. School of Civil and Environmental Engineering en_US
dc.contributor.corporatename North Carolina State University. Dept. of Mechanical and Aerospace Engineering
dc.contributor.corporatename University of Pittsburgh. Dept. of Information Science and Telecommunications
dc.contributor.corporatename MCNC-North Carolina Supercomputing Center
dc.contributor.corporatename Georgia Institute of Technology. Office of Sponsored Programs
dc.contributor.corporatename Georgia Institute of Technology. Office of Sponsored Programs
dc.date.accessioned 2006-05-11T19:55:52Z
dc.date.available 2006-05-11T19:55:52Z
dc.date.issued 2003 en_US
dc.description Issued as final report en_US
dc.description.sponsorship United States. Environmental Protection Agency
dc.format.extent 121166462 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/9939
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries School of Civil and Environmental Engineering ; Project no. E-20-E42 en_US
dc.subject Air quality en_US
dc.subject Air Pollution en_US
dc.title Development and evaluation of modeling techniques for the study of interactions between urban and point source plumes and regional atmospheres in the formation of secondary pollutants en_US
dc.title.alternative Adaptive grids in air pollution modeling: towards an operational model en_US
dc.title.alternative Reducing uncertainty of air quality models through coupling adaptive grids with GIS techniques
dc.title.alternative Developing and integrating advanced GIS techniques in an adaptive grid air quality model to reduce uncertainty
dc.title.alternative Mass conservative coupling of non-hydrostatic meteorlogical models with air quality models
dc.title.alternative Evaluation of adaptive grid algorithms
dc.title.alternative Development of adaptive grid air quality model
dc.title.alternative Automated hand-over for sub-grid plume models
dc.title.alternative An adaptive grid air model for urban to regional scale air quality problems
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Russell, Armistead G.
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
local.contributor.corporatename Office of Sponsored Programs
local.relation.ispartofseries OSP Final Research Reports
relation.isAuthorOfPublication 23a79925-40ae-449e-840e-644668649d00
relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isOrgUnitOfPublication c315e181-6c1e-4968-b8cf-a66220b5bcf2
relation.isSeriesOfPublication 628bc9a1-6779-42aa-aa38-1dcd6fcd12ca
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
E-20-E42_736188.pdf
Size:
7.89 MB
Format:
Adobe Portable Document Format
Description: