Predicting the Regional Air Quality Impacts of Prescribed Burns

被引:0
|
作者
Odman, M. Talat [1 ]
Hu, Yongtao [1 ]
McRae, D. Scott [2 ]
Goodrick, Scott L. [3 ]
Liu, Yongqiang [3 ]
Achtemeier, Gary L. [3 ]
Naeher, Luke P. [4 ]
机构
[1] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA
[2] N Carolina State Univ, Dept Mech & Aerosp Engn, Raleigh, NC 27695 USA
[3] USDA Forest Service, Forestry Sci Lab, Athens, GA 30602 USA
[4] Univ Georgia, Coll Publ Hlth, Athens, GA 30602 USA
关键词
Adaptive grid; sub-grid scales; coupled models; particulate matter;
D O I
暂无
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Prescribed burning plumes are not sufficiently resolved in current modeling systems; therefore, their regional impacts cannot be accurately predicted. A modeling, system is being developed to better characterize the emissions from the burns and the dispersion and chemical transformation of the smoke plumes. Adaptive grids are used to increase the resolution of regional-scale models and a Lagrangian plume model is employed to model the sub-grid scale plume dynamics. Simulations of a prescribed burn conducted at Fort Benning, Georgia on 9 April 2008 show that the new system significantly improves the predictions of downwind pollutant levels over conventional modeling systems
引用
收藏
页码:189 / +
页数:3
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