UZH-Logo

Maintenance Infos

Risk zone mapping of forest fire using GIS and AHP in a part of Paveh forests


Mohammadi, F; Shabanian, N; Pourhashemi, M; Fatehi, P (2011). Risk zone mapping of forest fire using GIS and AHP in a part of Paveh forests. Iranian Journal of Forest and Poplar Research, 18(4):569-586.

Abstract

Forest fires, as an ecological risk, whether with human or natural origin, have profound effects on land cover, land use, production, local economies, global trace gas emissions, and health. Identification of factors affecting the existence of forest fire as well as its zonation in the given watershed is one of the basic tools for forest fire control and fighting actions. The aim of this research is to develop the forest fire risk map based on vegetation, physiographic and climatic factors, human, distance to rivers and roads, in a part of Paveh forests. For this purpose, digitally diffusion forest fires map with field checks using GPS were prepared, initially. Then affecting factors were binary compared using Analytical Hierarchy Process (AHP) method by indicating the weight of each factor as indicator for their effects in occurrence of forest fire. Accordingly, the forest fire zonation risk map was prepared using weighted information layers and weighted coefficient of each factor. Five categories of forest fire risk, including very high to very low, were derived, automatically. The mapping result of the study area was found to be in strong agreement with actual fire-affected sites. The results indicate that the 90% of burned areas are located in high risk class.

Forest fires, as an ecological risk, whether with human or natural origin, have profound effects on land cover, land use, production, local economies, global trace gas emissions, and health. Identification of factors affecting the existence of forest fire as well as its zonation in the given watershed is one of the basic tools for forest fire control and fighting actions. The aim of this research is to develop the forest fire risk map based on vegetation, physiographic and climatic factors, human, distance to rivers and roads, in a part of Paveh forests. For this purpose, digitally diffusion forest fires map with field checks using GPS were prepared, initially. Then affecting factors were binary compared using Analytical Hierarchy Process (AHP) method by indicating the weight of each factor as indicator for their effects in occurrence of forest fire. Accordingly, the forest fire zonation risk map was prepared using weighted information layers and weighted coefficient of each factor. Five categories of forest fire risk, including very high to very low, were derived, automatically. The mapping result of the study area was found to be in strong agreement with actual fire-affected sites. The results indicate that the 90% of burned areas are located in high risk class.

Downloads

4 downloads since deposited on 09 Apr 2013
0 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:Persian
Date:2011
Deposited On:09 Apr 2013 07:15
Last Modified:05 Apr 2016 16:44
Publisher:Research Institute of Forests and Rangelands
ISSN:1735-0883
Related URLs:http://www.sid.ir/en/ViewPaper.asp?ID=256907&vRadif=6&vWriter=MOHAMMADI%20F.,SHABANIAN%20N.,POURHASHEMI%20M.,FATEHI%20P.&vJournal=IRANIAN+JOURNAL+OF+FOREST+AND+POPLAR+RESEARCH&vDate=WINTER%202011&vVolume=18&vNo=4%20(42)&vStart=569&vEnd=586
Permanent URL: https://doi.org/10.5167/uzh-77274

Download

[img]
Content: Published Version
Filetype: PDF - Registered users only
Size: 1MB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations