Skip to main content

Resource Catalog


Type: Journal Article
Author(s): Scott L. Goodrick; Gary L. Achtemeier; Narasimhan K. Larkin; Yongqiang Liu; Tara M. Strand
Publication Date: 2013

Among the key issues in smoke management is predicting the magnitude and location of smoke effects. These vary in severity from hazardous (acute health conditions and drastic visibility impairment to transportation) to nuisance (regional haze), and occur across a range of scales (local to continental). Over the years a variety of tools have been developed to aid in predicting smoke effects. This review follows the development of these tools, from various indices and simple screening models to complex air quality modelling systems, with a focus on how each tool represents key processes involved in smoke transport.

Online Links
Citation: Goodrick, Scott L.; Achtemeier, Gary L.; Larkin, Narasimhan K.; Liu, Yongqiang; Strand, Tara M. 2013. Modelling smoke transport from wildland fires: a review. International Journal of Wildland Fire 22(1):83-94.

Cataloging Information

Alaska    California    Eastern    Great Basin    Hawaii    Northern Rockies    Northwest    Rocky Mountain    Southern    Southwest    International    National
  • air quality
  • air-quality impacts
  • atmospheric transport
  • Canada
  • dispersion
  • fire management
  • forest fires
  • lower stratosphere
  • Mississippi
  • particulates
  • plume rise
  • pollution
  • simulation
  • smoke effects
  • smoke management
  • smoke modeling
  • smoke prediction systems
  • smoke transport
  • stochastic models
  • system
  • Tennessee
  • wildfires
Tall Timbers Record Number: 28585Location Status: In-fileCall Number: Journals - IAbstract Status: Fair use, Okay, Reproduced by permission
Record Last Modified:
Record Maintained By: FRAMES Staff (
FRAMES Record Number: 51655

This bibliographic record was either created or modified by Tall Timbers and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of Tall Timbers.