Determination of forest fire risk with fuzzy analytic hierarchy process and its mapping with the application of GIS: The case of Turkey/Cakirlar

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dc.authoridGUNGOROGLU, CUMHUR/0000-0003-3932-3205
dc.contributor.authorGungoroglu, Cumhur
dc.date.accessioned2024-09-29T16:02:51Z
dc.date.available2024-09-29T16:02:51Z
dc.date.issued2017
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe objectives of this study are the determination of forest fire risks with the fuzzy analytic hierarchy process (FAHP) and the mapping of risk levels with the use of geographic information systems (GIS). Socioeconomic, topographic, climatic, and stand structures have been taken into consideration as instrumental criteria in terms of fire risk. Each risk criteria and their sub-criteria membership grades have been determined with the fuzzy set theory. Five-scale fuzzy linguistic importance has been used for pairwise comparison matrices. Criterion weights have been mapped with the use of GIS, and a final risk map was established with weighted overlay analysis. Socioeconomic properties had the highest impact on fire risk with 35%. The high risk degree of this criterion manifests in shrublands with substantial fuel loads and young Calabrian pine forests in low elevation areas at the edge of roads, urban and urban periphery areas, south sloping, and steep sloped areas. The lowest risk degree was manifest in stands of cedar, black pine, and juniper forests, qualifying as old growth spreading in sub-mountain areas where land usage is rather low. Experiences regarding high accuracy fire risk determination and decision support approaches for fire risk management have been discussed and concluded in terms of applied FAHP and GIS procedures.en_US
dc.description.sponsorshipKarabuk Universityen_US
dc.description.sponsorshipThis study has been supported by the Karabuk University.en_US
dc.identifier.doi10.1080/10807039.2016.1255136
dc.identifier.endpage406en_US
dc.identifier.issn1080-7039
dc.identifier.issn1549-7860
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85006961621en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage388en_US
dc.identifier.urihttps://doi.org/10.1080/10807039.2016.1255136
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5742
dc.identifier.volume23en_US
dc.identifier.wosWOS:000396866900012en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofHuman and Ecological Risk Assessmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectforest fire risken_US
dc.subjectfuzzy analytic hierarchy processen_US
dc.subjectGISen_US
dc.titleDetermination of forest fire risk with fuzzy analytic hierarchy process and its mapping with the application of GIS: The case of Turkey/Cakirlaren_US
dc.typeArticleen_US

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