Forest fire risk assessment using WLC and ANP (Case study: 33 and 34 watersheds north of Iran)

Forest fires are a major environmental problem that led to the economic and environmental damages. Forest fires are one of the environmental hazards in Iran. Naturally, it is impossible to control the forest fires. By the use of forest fire risk maps, we can identify the areas with high risk of fire...

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Main Authors: elham goleiji, seyed mohsen hosseini, nematollah khorasani, seyed masoud monavari
Format: Article
Language:fas
Published: University of Sistan and Baluchestan 2018-03-01
Series:مخاطرات محیط طبیعی
Subjects:
Online Access:https://jneh.usb.ac.ir/article_3265_c6806cfc0c122fce26be74e22fdd04b2.pdf
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author elham goleiji
seyed mohsen hosseini
nematollah khorasani
seyed masoud monavari
author_facet elham goleiji
seyed mohsen hosseini
nematollah khorasani
seyed masoud monavari
author_sort elham goleiji
collection DOAJ
description Forest fires are a major environmental problem that led to the economic and environmental damages. Forest fires are one of the environmental hazards in Iran. Naturally, it is impossible to control the forest fires. By the use of forest fire risk maps, we can identify the areas with high risk of fire and reduce the fires as well as possible. Preparing the map of forest fire risk areas as a strategy is necessary for protecting the forests against fire. In this paper, in order to prepare the forest fire risk zoning, at first the effective criteria’s and indices are identified by Delphi technique, and all of the criteria’s and the indexes were normalized by Fuzzy logic. And also the weights of criteria prepared with Analytical Network Process, then by using GIS system and integrating it with Weighted Linear Combination methods (WLC) the map of zonation of the forest fire risk in the study area was carried out. To assess the accuracy of the evaluation, the results obtained from the study were compared with the past year's fire history data of studied area. This was done using the Kappa coefficient test. The results of the comparison indicated that the prepared map has 90% accuracy for Kappa coefficient test.This result showed that the prepared map had high accuracy and efficacy.
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spelling doaj.art-77211182126843cdbfa2b70953f455cc2023-06-13T19:53:11ZfasUniversity of Sistan and Baluchestanمخاطرات محیط طبیعی2676-43772676-43852018-03-0171510722210.22111/jneh.2017.32653265Forest fire risk assessment using WLC and ANP (Case study: 33 and 34 watersheds north of Iran)elham goleiji0seyed mohsen hosseini1nematollah khorasani2seyed masoud monavari3PhD Student, Department of Environmental Science, Faculty of Environment and Energy, Islamic Azad University, Science and Research Branch, Tehran, Iranعضو هیئت علمی دانشکده منابع طبیعی و علوم دریایی دانشگاه تربیت مدرسProfessor, Department of Environmental Science, Faculty of Environment and Energy, Islamic Azad University, Science and Research Branch, Tehran, IranProfessor Assistant, Department of Environmental Science, Faculty of Environment and Energy, Islamic Azad University, Science and Research Branch, Tehran, IranForest fires are a major environmental problem that led to the economic and environmental damages. Forest fires are one of the environmental hazards in Iran. Naturally, it is impossible to control the forest fires. By the use of forest fire risk maps, we can identify the areas with high risk of fire and reduce the fires as well as possible. Preparing the map of forest fire risk areas as a strategy is necessary for protecting the forests against fire. In this paper, in order to prepare the forest fire risk zoning, at first the effective criteria’s and indices are identified by Delphi technique, and all of the criteria’s and the indexes were normalized by Fuzzy logic. And also the weights of criteria prepared with Analytical Network Process, then by using GIS system and integrating it with Weighted Linear Combination methods (WLC) the map of zonation of the forest fire risk in the study area was carried out. To assess the accuracy of the evaluation, the results obtained from the study were compared with the past year's fire history data of studied area. This was done using the Kappa coefficient test. The results of the comparison indicated that the prepared map has 90% accuracy for Kappa coefficient test.This result showed that the prepared map had high accuracy and efficacy.https://jneh.usb.ac.ir/article_3265_c6806cfc0c122fce26be74e22fdd04b2.pdfforest fire hazard risk assessmentanpfuzzywlcnorth of iran
spellingShingle elham goleiji
seyed mohsen hosseini
nematollah khorasani
seyed masoud monavari
Forest fire risk assessment using WLC and ANP (Case study: 33 and 34 watersheds north of Iran)
مخاطرات محیط طبیعی
forest fire hazard risk assessment
anp
fuzzy
wlc
north of iran
title Forest fire risk assessment using WLC and ANP (Case study: 33 and 34 watersheds north of Iran)
title_full Forest fire risk assessment using WLC and ANP (Case study: 33 and 34 watersheds north of Iran)
title_fullStr Forest fire risk assessment using WLC and ANP (Case study: 33 and 34 watersheds north of Iran)
title_full_unstemmed Forest fire risk assessment using WLC and ANP (Case study: 33 and 34 watersheds north of Iran)
title_short Forest fire risk assessment using WLC and ANP (Case study: 33 and 34 watersheds north of Iran)
title_sort forest fire risk assessment using wlc and anp case study 33 and 34 watersheds north of iran
topic forest fire hazard risk assessment
anp
fuzzy
wlc
north of iran
url https://jneh.usb.ac.ir/article_3265_c6806cfc0c122fce26be74e22fdd04b2.pdf
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AT nematollahkhorasani forestfireriskassessmentusingwlcandanpcasestudy33and34watershedsnorthofiran
AT seyedmasoudmonavari forestfireriskassessmentusingwlcandanpcasestudy33and34watershedsnorthofiran