All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

MCDM-Based Wildfire Risk Assessment: A Case Study on the State of Arizona

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F23%3A39921000" target="_blank" >RIV/00216275:25510/23:39921000 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2571-6255/6/12/449" target="_blank" >https://www.mdpi.com/2571-6255/6/12/449</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/fire6120449" target="_blank" >10.3390/fire6120449</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    MCDM-Based Wildfire Risk Assessment: A Case Study on the State of Arizona

  • Original language description

    The increasing frequency of wildfires has posed significant challenges to communities worldwide. The effectiveness of all aspects of disaster management depends on a credible estimation of the prevailing risk. Risk, the product of a hazard’s likelihood and its potential consequences, encompasses the probability of hazard occurrence, the exposure of assets to these hazards, existing vulnerabilities that amplify the consequences, and the capacity to manage, mitigate, and recover from their consequences. This paper employs the multiple criteria decision-making (MCDM) framework, which produces reliable results and allows for the customization of the relative importance of factors based on expert opinions. Utilizing the AROMAN algorithm, the study ranks counties in the state of Arizona according to their wildfire risk, drawing upon 25 factors categorized into expected annual loss, community resilience, and social vulnerability. A sensitivity analysis demonstrates the stability of the results when model parameters are altered, reinforcing the robustness of this approach in disaster risk assessment. While the paper primarily focuses on enhancing the safety of human communities in the context of wildfires, it highlights the versatility of the methodology, which can be applied to other natural hazards and accommodate more subjective risk and safety assessments

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20701 - Environmental and geological engineering, geotechnics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Fire-Switzerland

  • ISSN

    2571-6255

  • e-ISSN

    2571-6255

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    18

  • Pages from-to

    1-18

  • UT code for WoS article

    001135931400001

  • EID of the result in the Scopus database

    2-s2.0-85180675499