Landslide Susceptibility Mapping for Poulrood Earth Fill Dam Reservoir (The Comparison of Two Methods) Iran, Guilan Province

Dehban Avan Stakhri Maryam

doi:10.13189/ujg.2013.010205

Abstract

The purpose of this study is to produce the Landslide susceptibility zonation map for Poulrood earth fill dam reservoir with using fuzzy muti criteria decision analysis and fuzzy logic methods. To obtain the Fuzzy relations for producing the susceptibility map, a landslide inventory database is obtained by both field surveys and desk studies. To produce susceptibility map with User define and Gaussian functions then landslide related parameters such as lithology, distance from faults, distance from drainage, slope angle, slope aspect, slope curvature, distance from road, NDVI, earth quick horizontal acceleration and Precipitation were used in the landslide susceptibility analysis. The results obtained in this study showed that the frequency ratio can be used as a simple tool in assessment of landslide susceptibility when a sufficient number of data were obtained. The prediction performance of the susceptibility map is checked by considering quality sum amount ( ). According to landslide susceptibility index for different parameters, it was found that the aspect, lithology and drainage system are the most effective parameters in the study area. With investigation get values of quality sum index( ), landslide density for two types of function in two methods(fuzzy logic and Fuzzy multi criteria decision analysis) and attention to good work of operator Gamma in landslide susceptibility mapping, produced map with Gaussian function and Gamma0.7 operator (fuzzy logic method) has topmost quality.

Highlights

Landslides may occur as a consequence of a number of determining and triggering factors [1, 2]
Slope aspect, lithology, distance to fault, distance to road, distance of drainage, precipitation, horizontal acceleration earthquake, normalized difference vegetation index (NDVI) and slope curvature maps are considered as the conditioning parameters of the landslides
The results of frequency ratio analyses revealed that the classes of 16.71-22.49 of slope, the class of 252-288(N, NW) of aspect, the class of 0.274 of NDVI, the class of 405.21-604.64 m of distance to faults, the class of 0-37.36 m of distance to drainge, the class of 0-273 m of distance to roads, the class of 2.43 gal of horizontal acceleration of earthquake, the class of 1433mm precipitation, the class of 6.92 of curvature and the class of Qs of lithology map have higher frequency ratio than the other classes

Summary

Introduction

Landslides may occur as a consequence of a number of determining and triggering factors [1, 2]. Iran is a developing country with a complex geology, active seismicity and seasonal rainfall These factors have a great influence on the development of natural hazards, including landslides and other type of ground mass movements which may result in loss of life and damage to the economy. The purpose of the present work is to produce the landslide susceptibility map of a landslide prone area in the poulrood earth fill dam reservoir in Iran by using Fuzzy logic and Fuzzy multi criteria decision analysis. We will compare of results of fuzzy logic and fuzzy multi criteria decision analysis methods. For evaluate weights of every changeable, use of Expert choice software In this investigation instead of Matlab software, use of Arc GIS10 Software.

Objectives

Results

Conclusion