Advances in Fire Behavior Modeling
Advances in Fire Behavior Modeling
Session ID#: 117698
Session Description:
While wildfires are an essential and unavoidable feature of nature, they are a serious and costly issue in the United States and around the world. Wildfires are a complex, multiphysics, multi-scale, and extraordinarily challenging problem, whose understanding requires a wide range of expertise. To mitigate the adverse effects of wildfires, it is essential to produce capabilities that advance the understanding of fire behavior, contributing to the prediction of fire spread and their control mechanism.
We aim to bring together modelers from a variety of backgrounds to exchange knowledge and ideas, as well as to share recent model developments and results of fire modeling studies. We encourage abstracts on a wide range of empirical, analytical, and numerical models that aim to enhance our understanding of fire behavior and fire spread phenomena.
Index Terms:
4301 Atmospheric [NATURAL HAZARDS]
4314 Mathematical and computer modeling [NATURAL HAZARDS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4316 Physical modeling [NATURAL HAZARDS]
Primary Convener: Neda Yaghoobian, Florida State University, Mechanical Engineering, Tallahassee, FL, United States
Conveners: Bryan Quaife, Florida State University, Scientific Computing, Tallahassee, FL, United States, Michael Gollner, University of California, Berkeley, Mechanical Engineering, Berkeley, United States and Albert Simeoni, Worcester Polytechnic Institute, Worcester, United States
Primary Liaison: Neda Yaghoobian, Florida State University, Mechanical Engineering, Tallahassee, FL, United States
See more of: Natural Hazards