Landslide Micro-Zoning Using DEMATEL Technique and Fuzzy AHP (Case Study: the County of Dehdez in Khuzestan Province)

Document Type : Article extracted from dissertations

Authors

1 MA of Geography and Rural Planning, Faculty of Letters and Humanities, Shahid Chamran University of Ahvaz, Expert on National Divisions of Khuzestan Province, Ahvaz, Iran

2 Professor of Geography and Urban Planning, Faculty of Letters and Humanities, Shahid Chamran University of Ahvaz, Ahvaz, Iran

Abstract

Landslide is always a serious threat to human settlements. In the Face of such accidents, little can be done at the moment of occurrence. Before that, its effects can be foiled with planning and for reduction of possible casualties and damages. The aim of the present study is to take a systematic look at natural hazards, including Landslide in order to draw up a scientific and accurate plan outlining for preparation and planning based on the use of spatial information systems and multi-criteria decision-making models in line with the zoning risk landslides and determining the direction of residential development is predictable. The present study extracted 15 effective criteria in landslide risk. Then using of the results of the evaluation of two models of (DEMATEL, FUZZY hierarchical analysis process) showed that the DEMATEL model is in accordance with the principles and laws of mathematical and has more certainty. While the process of FUZZY hierarchical analysis was only consistent with the knowledge and expertise rating. In the risk zone whit the DEMATEL model low risk, zones %37/1 (190/39 km2) it has the largest area of 513/12 square kilometers, have most area of surface. Also, high risk zone with %2/32 (11/89 km2), high and medium risk zones each with %34/33(176/13 km2) and low risk by 134/71(%26/25 km2) were next in the ranking. Zoning and risk with FUZZY hierarchical analysis, risk zone of very small allotment, %36/53(187/43 km2) and low risk zone of %17/73(90/96 km2) and medium risk zone %17/79(91/27 km2), and high risk zone of %16/84(86/41 km2), as well as very high risk zone%11/2(57/6 km2) were ranked.   

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