scholarly journals The Science and Opportunity of Wildfire Risk Assessment

10.5772/38210 ◽  
2012 ◽  
Author(s):  
Matthew P. ◽  
Alan A. ◽  
Mark A. ◽  
Dave E. ◽  
Nicole M.
Keyword(s):  
Risk Assessment ◽  
Wildfire Risk

RISICO: A system for dynamic wildfire risk assessment in Italy

2006 ◽  
Vol 234 ◽  
pp. S23
Author(s):  
Paolo Fiorucci ◽  
Francesco Gaetani ◽  
Riccardo Minciardi ◽  
Anna Scipioni
Keyword(s):  
Risk Assessment ◽  
Wildfire Risk

Estimating the consequences of wildfire for wildfire risk assessment, a case study in the southern Gulf Islands, British Columbia, Canada

2010 ◽  
Vol 40 (11) ◽  
pp. 2104-2114 ◽  
Author(s):  
Matthew Tutsch ◽  
Wolfgang Haider ◽  
Ben Beardmore ◽  
Kenneth Lertzman ◽  
Andrew B. Cooper ◽  
...  
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
British Columbia ◽  
Quantitative Methods ◽  
Loss Of Life ◽  
Wildfire Risk ◽  
The Common ◽  
Gulf Islands ◽  
In Fire

Wildfire risk assessment research has made considerable progress towards estimating the probability of wildfires but comparatively little progress towards estimating the expected consequences of potential fires. One challenge with estimating wildfire consequences has been to identify a common metric that can be applied to consequences measured in different units. In this paper, we use the preferences of representatives of local fire management agencies as the common consequences metric and apply it to a case study in the southern Gulf Islands, British Columbia, Canada. The method uses an expert survey and a maximum-difference conjoint analysis to establish the relative importance of specific fire consequences. A fire with a major potential for loss of life was considered to be about three times worse than major damage to houses and 4.5 times worse than loss of a rare species. Risk ratings were very sensitive to changes in fire consequences ratings. As the complexity of values at risk and number of stakeholders increase, the most efficient allocation of wildfire prevention, protection, and suppression resources becomes increasingly challenging to determine. Thus, as the complexity of stakeholder representation and values at risk increases, we need to pay increasing attention to quantitative methods for measuring wildfire consequences.

Developing a geospatial data-driven solution for rapid natural wildfire risk assessment

2021 ◽  
Vol 126 ◽  
pp. 102382
Author(s):  
Bishrant Adhikari ◽  
Chen Xu ◽  
Paddington Hodza ◽  
Thomas Minckley
Keyword(s):  
Risk Assessment ◽  
Geospatial Data ◽  
Data Driven ◽  
Wildfire Risk
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