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:: Volume 1, Issue 2 (10-2007) ::
jwmseir 2007, 1(2): 39-44 Back to browse issues page
Evaluation of Fuzzy Logic Operators in Landslide Analysis Case Study: Shirood Watershed
Seied Ali Abadinejad , Mojtaba Yamani , Mehran Maghsoudi , Samad Shadfar
University of Tehran
Abstract:   (16121 Views)

Landslide is one of the mass movement processes that occur in Iran and parts of the world every year. It

causes huge human loss and economical damages. This research investigates the evaluation of fuzzy logic

operators in prediction of landslide potential. Thus, Shirood Watershed was considered as a suitable model

for north of Iran. First, investigating resources, some of the most important factors in landslide occurrence

such as slope, lithology, land use, aspect and distance from fault in G.I.S. environment were prepared and

digitized as independent variables. Landslide distribution information layer was prepared with use of interpretation

of air photos and field survey with use of G.P.S. variables. The classification was done with histogram

trend changes and available classifications. Weighting variables classes were determined between

0–1, and then weighted maps classified with fuzzy operators. Obtained maps accuracy was evaluated with

use of quality sum index (Qs). Results showed the fuzzy Gamma 0.8 operator is one of the best suitable

operator for land slide potential in Shirood Watershed.

Keywords: Evaluation, Fuzzy Logic Operators, Landslide Hazard Zonation, Quality Sum Index, Shirood Watershed.
Full-Text [PDF 248 kb]   (1602 Downloads)    
Type of Study: Research | Subject: Special
Received: 2012/10/30 | Accepted: 2014/05/25 | Published: 2014/05/25
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Abadinejad S A, Yamani M, Maghsoudi M, Shadfar S. Evaluation of Fuzzy Logic Operators in Landslide Analysis Case Study: Shirood Watershed. jwmseir. 2007; 1 (2) :39-44
URL: http://jwmsei.ir/article-1-40-en.html


Volume 1, Issue 2 (10-2007) Back to browse issues page
مجله علوم ومهندسی آبخیزداری ایران Iranian Journal of Watershed Management Science and Engineering
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