A comparison of fire danger rating systems for use in forests

2009 ◽  
Vol 58 (01) ◽  
pp. 41-48 ◽  
Author(s):  
S Matthews
Keyword(s):  
2016 ◽  
Vol 16 (5) ◽  
pp. 1217-1237 ◽  
Author(s):  
Mark C. de Jong ◽  
Martin J. Wooster ◽  
Karl Kitchen ◽  
Cathy Manley ◽  
Rob Gazzard ◽  
...  

Abstract. Wildfires in the United Kingdom (UK) pose a threat to people, infrastructure and the natural environment. During periods of particularly fire-prone weather, wildfires can occur simultaneously across large areas, placing considerable stress upon the resources of fire and rescue services. Fire danger rating systems (FDRSs) attempt to anticipate periods of heightened fire risk, primarily for early-warning and preparedness purposes. The UK FDRS, termed the Met Office Fire Severity Index (MOFSI), is based on the Fire Weather Index (FWI) component of the Canadian Forest FWI System. The MOFSI currently provides daily operational mapping of landscape fire danger across England and Wales using a simple thresholding of the final FWI component of the Canadian FWI System. However, it is known that the system has scope for improvement. Here we explore a climatology of the six FWI System components across the UK (i.e. extending to Scotland and Northern Ireland), calculated from daily 2km × 2km gridded numerical weather prediction data and supplemented by long-term meteorological station observations. We used this climatology to develop a percentile-based calibration of the FWI System, optimised for UK conditions. We find this approach to be well justified, as the values of the "raw" uncalibrated FWI components corresponding to a very "extreme" (99th percentile) fire danger situation vary by more than an order of magnitude across the country. Therefore, a simple thresholding of the uncalibrated component values (as is currently applied in the MOFSI) may incur large errors of omission and commission with respect to the identification of periods of significantly elevated fire danger. We evaluate our approach to enhancing UK fire danger rating using records of wildfire occurrence and find that the Fine Fuel Moisture Code (FFMC), Initial Spread Index (ISI) and FWI components of the FWI System generally have the greatest predictive skill for landscape fire activity across Great Britain, with performance varying seasonally and by land cover type. At the height of the most recent severe wildfire period in the UK (2 May 2011), 50 % of all wildfires occurred in areas where the FWI component exceeded the 99th percentile. When all wildfire events during the 2010–2012 period are considered, the 75th, 90th and 99th percentiles of at least one FWI component were exceeded during 85, 61 and 18 % of all wildfires respectively. Overall, we demonstrate the significant advantages of using a percentile-based calibration approach for classifying UK fire danger, and believe that our findings provide useful insights for future development of the current operational MOFSI UK FDRS.


1989 ◽  
Vol 65 (4) ◽  
pp. 258-265 ◽  
Author(s):  
B. J. Stocks ◽  
T. J. Lynham ◽  
B. D Lawson ◽  
M. E. Alexander ◽  
C. E. Van Wagner ◽  
...  

Forest fire danger rating research in Canada was initiated by the federal government in 1925. Five different fire danger rating systems have been developed since that time, each with increasing universal applicability across Canada. The approach has been to build on previous danger rating systems in an evolutionary fashion and to use field experiments and empirical analysis extensively. The current system, the Canadian Forest Fire Danger Rating System (CFFDRS), has been under development by Forestry Canada since 1968. The first major subsystem of the CFFDRS, the Canadian Forest Fire Weather Index (FWI) System, provides numerical ratings of relative fire potential based solely on weather observations, and has been in use throughout Canada since 1970. The second major subsystem, the Canadian Forest Fire Behavior Prediction (FBP) System, accounts for variability in fire behavior among fuel types (predicting rate of spread, fuel consumption, and frontal fire intensity), was issued in interim form in 1984 with final production scheduled for 1990. A third major CFFDRS subsystem, the Canadian Forest Fire Occurrence Prediction (FOP) System, is currently being formulated. This paper briefly outlines the history and philosophy of fire danger rating research in Canada discussing in detail the structure of the current CFFDRS and its application and use by fire management agencies throughout Canada. Key words: fire danger, fire behavior, fire occurrence prediction, fuel moisture, fire danger rating system, fire management.


1989 ◽  
Vol 65 (6) ◽  
pp. 450-457 ◽  
Author(s):  
B. J. Stocks ◽  
T. J. Lynham ◽  
B. D. Lawson ◽  
M. E. Alexander ◽  
C. E. Van Wagner ◽  
...  

Forest fire danger rating research in Canada was initiated by the federal government in 1925. Five different fire danger rating systems have been developed since that time, each with increasing universal applicability across Canada. The approach has been to build on previous danger rating systems in an evolutionary fashion and to use field experiments and empirical analysis extensively. The current system, the Canadian Forest Fire Danger Rating System (CFFDRS), has been under development by Forestry Canada since 1968. The first major subsystem of the CFFDRS, the Canadian Forest Fire Weather Index (FWI) System, provides numerical ratings of relative fire potential based solely on weather observations, and has been in use throughout Canada since 1970. The second major subsystem, the Canadian Forest Fire Behavior Prediction (FBP) System, accounts for variability in fire behavior among fuel types (predicting rate of spread, fuel consumption, and frontal fire intensity), was issued in interim form in 1984 with final production scheduled for 1990. A third major CFFDRS subsystem, the Canadian Forest Fire Occurrence Prediction (FOP) System, is currectly being formulated. This paper briefly outline the history and philosophy of fire danger rating research in Canada discussing in detail the structure of the current CFFDRS and its application and use by fire management agencies throughout Canada. Key words: fire danger, fire behavior, fire occurrence prediction, fuel moisture, fire danger rating system, fire management.


2006 ◽  
Vol 12 (1) ◽  
pp. 165-180 ◽  
Author(s):  
William J. de Groot ◽  
Robert D. Field ◽  
Michael A. Brady ◽  
Orbita Roswintiarti ◽  
Maznorizan Mohamad
Keyword(s):  

2020 ◽  
Author(s):  
Gareth Clay ◽  
Claire Belcher ◽  
Stefan Doerr ◽  
Andy Elliott ◽  
Mark Hardiman ◽  
...  

<p>Wildfires in temperate regions like the UK can cause major impacts for ecosystems, society and human health and wellbeing. Under changing climate and land use patterns it is therefore important to better understand how we can assess the danger posed by fires in the landscape. Major wildfire events in the UK over recent years have highlighted the risk posed by wildfires, and has led to recognition of wildfire as an environmental hazard in the UK National Risk Register.</p><p>Fire Danger Rating Systems (FDRS) are designed to assess the fuel and weather to provide estimates of flammability and likely fire behaviour under those conditions. These danger ratings can inform management decisions for land managers, direct resourcing plans for FRS teams, and feed into strategic planning for local and national governments. However, the UK does not yet have a fit-for-purpose FDRS and we lack the fundamental scientific and end-user understanding to predict effectively the likelihood, behaviour and impact of wildfire incidents in the UK at present and under future climate and land use scenarios.</p><p>This poster will present the outline and structure of a new NERC-funded, multi-institution, 4-year project that will develop the underpinning knowledge and tools to develop a UK FDRS. We are very keen to hear from the wildfire community about ways in which this work could help you with your activities and to link up with other projects.</p>


2003 ◽  
Vol 12 (2) ◽  
pp. 213 ◽  
Author(s):  
Patricia L. Andrews ◽  
Don O. Loftsgaarden ◽  
Larry S. Bradshaw

Methods are presented for analysing the relationship between fire danger rating indexes and fire activity as a means of evaluating the performance of fire danger rating systems. Percentile analysis is used to examine the data itself; logistic regression provides a means for statistical analysis. Ranking of selected items indicates indexes that deserve further assessment using subjective considerations. Methods rely on generally available data: the fire danger index for every day in the fire season, fire discovery date, and final fire size. For logistic regression analysis, the independent variable is the index, and dependent variables are fire-day, large-fire-day, and multiple-fire-day. Data analysis methods have been incorporated into the FireFamily Plus computer program for easy application. Potential uses of the analysis include choosing the most appropriate fire danger index and fuel model for an area, evaluating proposed changes to a fire danger rating system, and assessing the performance of a system in a location other than that for which it was designed. As a demonstration, this technique was applied to evaluation of several indexes and fuel models of the U.S. National Fire Danger Rating System on the Tonto National Forest in Arizona, USA, using fire and weather data for 1974–2001.


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