Regression Analysis Of Wildfire Suppression
Author(s)
R. Hansen
Abstract
One of the most important aims of forest fire research is how to better control
forest fires. One way to attain this aim is to develop better decision tools for
estimating how much water is required for extinguishing a fire with a specific set
of conditions. There has in the past generally been little research conducted with
respect to water requirements when suppressing a wildfire. A number of
experiments were conducted in the early ‘70s where a spray rig with a nozzle
arrangement was used in order to apply water uniformly across a fuel bed. Two
studies regarding the required duration of water application related to fires in
buildings were conducted in the past. Both studies were based upon statistical
data from fire brigades; the duration of water application was determined as a
function of the fire area. This paper encompasses an analysis of more than
64,000 wildfires occurring in Sweden between 1996 and 2009. The values
calculated from the obtained formulations with regression analysis were found to
be in good agreement in the following cases: The amount of water as a function
of the extinguishing time, the extinguishing time as a function of the fire area;
and the fire area as a function of the flame height. It was observed that the
derived equations from the analysis in the above cases could provide an accurate
computation. These relationships could be of considerable use when developing
decision tools for wildfire suppression, optimizing the use of resources during
the suppression activities.
Keywords: wildfire suppression, regression analysis, extinguishing time, water
amount, fire area.
1 Introduction
The development of decision tools is an essential activity in the fire and rescue
sector, for example for wildfire suppression. One of the desired and needed tools
would be the estimation of how much water is required for extinguishing a
Keywords
wildfire suppression, regression analysis, extinguishing time, water
amount, fire area.
Related Book
Other papers in this volume
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