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:: Volume 16, Issue 55 (12-2016) ::
جغرافیایی 2016, 16(55): 293-312 Back to browse issues page
: potential flooding, ANP, fuzzy logic, zoning, Lighvan river
Mousa Abedini ‎ * 1, Ebrahim Beheshti javid1
1- University of Mohaghegh Ardabili
Abstract:   (6761 Views)

Today, environmental hazards and deal with them is one of the most important concerns for researchers in the field of environmental planning and management of the crisis. In crisis management, flood risk is one of the riskiest natural disasters that have to special look to it. One of the most important tasks in the field of flood mitigation and prevention of occurrence is zoning of potential flooding and classification of the flood risk. In this study Lighvan River Basin has been studied in terms of potential flooding by using ANP and fuzzy logic models and using of natural and human parameters (Land slope, aspect, plan and profile curvature, land use, precipitation, material of land, soil, vegetation density and drainage density). According to results of the research the southern part of Basin (classes with great and high potential) have been introduced as areas prone to flooding that are included respectively 11 and 23.6 percent of the area. More areas with low and very low potential are in areas that are characteristic of often with agriculture and gardens, formations with high permeability and slow slope and low altitude and are included respectively 22.7 and 12.3 percent of the area. These areas mostly are concentrated in the lowlands and slow slope and lower part of the basin where the due to the slow slope and deep sediments and permeable materials have high the posibility of influence precipitation and runoff in this area is very low respective to the other sectors.

Keywords: potential flooding, ANP, fuzzy logic, zoning, Lighvan river
Full-Text [PDF 1826 kb]   (2122 Downloads)    
Type of Study: Research | Subject: Special
Received: 2015/05/19 | Accepted: 2016/03/15 | Published: 2016/12/4
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Abedini ‎ M, beheshti javid E. : potential flooding, ANP, fuzzy logic, zoning, Lighvan river. جغرافیایی 2016; 16 (55) :293-312
URL: http://geographical-space.iau-ahar.ac.ir/article-1-1682-en.html

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Volume 16, Issue 55 (12-2016) Back to browse issues page
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