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 ◽  
...  

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.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mozhdeh Pouryarmohammadi ◽  
Hasan Ahmadi ◽  
AliAkbar Salaripour

Purpose This paper aims to focus on reducing the vulnerability of Ahvaz city against urban disasters and lowering the number of casualties and amount of financial losses using modern approaches to develop resilience strategies that can increase urban safety to an acceptable level. The strategic situation of Ahvaz city, because of its abundant resources, the war experience and its location on the boundary regions of Iran, highlights its significance. Ahvaz has a high population and an extended texture, and the existence of extraordinary constructions increases the importance of physical resilience in this city. Design/methodology/approach The present study investigates built environment aspects such as the urban structure, the urban form, land-use proximity pattern, urban road network and crucial and vulnerable centres in Ahvaz, using a combination of qualitative and quantitative methods. Hence, the areas at risk in Ahvaz were identified and illustrated in a comprehensive risk assessment map, and then, by using the strengths, weaknesses, opportunities and threats technique and finally by using the Delphi method, some strategies and plans were presented to reduce the level of vulnerability in Ahvaz. Then, these strategies are prioritized by applying quality function deployment (QFD) technique. Findings The risk assessment result shows that most parts of Ahvaz’s urban areas are highly at risk. The central and northern parts of Ahvaz have the highest vulnerability at a time of crisis. These zones include district 1 (city centre) and districts 2, 3 and 7 at the city’s margins. The result of QFD process showed that the essential urban resilience strategy is to positively consider the passive defence studies with a physical resilience approach. Also, the proper distribution of strategic points in the city, moving the industrial and oil companies from the peripheral area, and facilitating access to vital, crucial centres to support urban regions are considered the most effective strategic plans. Originality/value This paper, with an integrated approach, examines and prioritizes the main physical problems of Ahvaz city based on the spatial analysis and opinions of experts. The physical strategies presented in this paper can significantly reduce the risks and increase the urban resilience of Ahvaz city in the face of crisis.


2013 ◽  
Vol 328 ◽  
pp. 314-317
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu

The domino effect is responsibility for many most destructive accidents in the chemical process industry. The catastrophic consequences are not only affecting the industrial sites, but also people and environment. However, quantitative methods which take in to account the domino effect are still missing. A model for quantitative assessment of the domino effect is presented. The probabilities of occurrence are obtained by the event trees. The frequencies of different accidents can be obtained by applying the proposed method. The results of the case study show that the domino effect should be taken into account in quantitative risk assessment (QRA).


2006 ◽  
Vol 34 (6) ◽  
pp. 661-680 ◽  
Author(s):  
Mann Hyung Hur

This study explored the motivation factors of charitable giving and their value structure. Both qualitative and quantitative methods were employed. Six components were found which individually stand for the dimensions of the motivation factors of charitable giving: a good deed, altruism, a desire for social responsibility, a desire for the common good, mass psychology, and a showing off reward-expecting manner. Two different networks among the factors of charitable giving were shown: one represented a notion of social and individual virtue, and the other referred to a notion of selfishness. Therefore, it can be said that people give to charities both in order to demonstrate their virtue, and to satisfy their selfishness.


2017 ◽  
Vol 7 (6) ◽  
pp. 2205-2209
Author(s):  
H. Beheshti ◽  
M. Alborzi

Strong adaptive control can be exercised even without access to accurate data inputs. Such control is possible through fuzzy mathematics, which is a meta-collection of Boolean logic principles that imply relative accuracy. Fuzzy mathematics find applications in e-commerce, where different risk analysis methods are available for risk assessment and estimation. Such approaches can be quantitative or qualitative, depending on the type of examined data. Quantitative methods are grounded in statistics, whereas qualitative methods are based on expert judgments and fuzzy set theory. Given that qualitative methods are very subjective and deal with vague or inaccurate data, fuzzy logic can be used to extract useful information from data inaccuracies. In this study, a model based on the opinions of e-commerce security experts was designed and implemented by using fuzzy expert systems and MATLAB. A case study was conducted to validate the effectiveness of the Model.


Author(s):  
Jana Müllerová

Purpose – The aim of this paper is to introduce new risk management method based on quantitative approach. RM/RA CRAMM was designed by Slovak researchers as user-friendly method for Public institutions dealing with risk management, crisis planning, civil protection. It has a multipurpose use. Design/methodology/approach – Three-phase procedure is introduced, including risk identification, analysis and evaluation. The case-study of risk assessment as an example of the application is included. Findings – Quantitative methods in risk management are rare due to the complex of factors influencing the risks being assessed. Research limitations/implications – A complex Area/Location risk assessment needs number of exact values and estimations for proper risk identification. Team-work is very welcomed but not necessary. Practical implications – Practical value of the method is incredible due to its applicability on the wide range of the research fields related to the risk management. Originality/Value – The method introduced is an original product of Slovak team of researchers led by author of this paper. Keywords: RM/RA CRAMM, risk management, risk assessment, quantitative, single equation method, case study. Research type: case study. JEL classification: C20 – General.


2013 ◽  
Vol 22 (1) ◽  
pp. 37 ◽  
Author(s):  
Kevin Hyde ◽  
Matthew B. Dickinson ◽  
Gil Bohrer ◽  
David Calkin ◽  
Louisa Evers ◽  
...  

Wildland fire management has moved beyond a singular focus on suppression, calling for wildfire management for ecological benefit where no critical human assets are at risk. Processes causing direct effects and indirect, long-term ecosystem changes are complex and multidimensional. Robust risk-assessment tools are required that account for highly variable effects on multiple values-at-risk and balance competing objectives, to support decision making. Providing wildland fire managers with risk-analysis tools requires a broad scientific foundation in fire behaviour and effects prediction as well as high quality computer-based tools and associated databases. We outline a wildfire risk-assessment approach, highlight recent developments in fire effects science and associated research needs, and recommend developing a comprehensive plan for integrated advances in wildfire occurrence, behaviour and effects research leading to improved decision support tools for wildland fire managers. We find that the current state of development in fire behaviour and effects science imposes severe limits on the development of risk-assessment technology. In turn, the development of technology has been largely disconnected from the research enterprise, resulting in a confusing array of ad hoc tools that only partially meet decision-support needs for fuel and fire management. We make the case for defining a common risk-based analytic framework for fire-effects assessment across the range of fire-management activities and developing a research function to support the framework.


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