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Paper Information

Journal:   JOURNAL OF GEOTECHNICAL GOLOGY (APPLIED GEOLOGY)   WINTER 2010 , Volume 5 , Number 4; Page(s) 318 To 325.
 
Paper: 

FUZZY LOGIC MODELS AND RS FOR LANDSLIDE HAZARD ZONATION IN LAJIM WATERSHED

 
 
Author(s):  MATKAN A.A., SAMIA J.*, POURALI S.H., SAFAEE M.
 
* PAYAM-E-NOOR UNIVERSITY OF BABOL, BABOL, IRAN
 
Abstract: 

Identifying, controlling and preventing human and socio-economic damages caused by natural disasters such as landslides are considered as one of the main goals of research institutes and executives.

The purpose of this research is to identify landslide hazardous and secure zones and zoning these according to the risk and modeling landslides within fuzzy inference network through fuzzy logic operators using RS & GIS techniques in Lajim watershed, in Central Alborz, Mazandaran. The parameters applied in zoning landslide hazardous zones are: geology, soil, elevation, slope, slope direction, the distance from rivers, roads and faults, vegetation cover and land use. In order to prepare the fuzzy membership function, the weight of effective factors was calculated. The results show that land use has the highest weight; therefore it is the most effective parameter. Among different models applied in this project, the fuzzy Gamma 0.7 and the OWA (Ordered Weight Average) model have the least variability in the modeling process. Also, these two models have the least SD (Standard Deviation) compared with the other models. Hence, they are our final models for mapping landslide hazard zones.

 
Keyword(s): FUZZY INFERENCE NETWORK, FUZZY GAMMA, ORDERED WEIGHT AVERAGE, STANDARD DEVIATION
 
References: 
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