Paper Information

Journal:   AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR)   2017 , Volume 49 , Number 2 #G0086; Page(s) 363 To 378.
 
Paper: 

COMPARISON BETWEEN SELECTED EXPERIMENTAL METHODS AND STATISTICAL AND ARTIFICIAL NEURAL NETWORK FOR LANDSLIDE HAZARD ZONATION, CASE STUDY: BEHESHT ABAD DAM RESERVOIR

 
 
Author(s):  GHOLAMI MOHSEN*, AJALLOEIAN RASOUL
 
* GEOLOGY ENGINEERING, FACULTY OF SCIENCE, ISFAHAN UNIVERSITY, ISFAHAN, IRAN
 
Abstract: 

In order to decrease the destructions due to landslides, it’s important and unavoidable to recognize and to map the hazard zonations. For this, different mehods were utilized by researchers in other countries with specific conditions. In this paper, landslide inventory map has been prepared and then the effective parameters on the landslides in the study area have been investigated. Finally, some empirical methods such as Mora-Vahrson and Nilson methods with bivariate statistical and Artificial Neural Network (ANN) methods were selected by using comparison of various methods between original locations and this study area in Behesht Abad Dam reservoir.
In consequence of landslide hazard zonation mapping by above mentioned methods, some relations including empirical Probability Factor (P), Landslide Index (Li) and Reciever Operating Characteristic (ROC) curves were used to evaluate the accuracy of each method. Finally, the results of ROC curve and calculation of Area Under ROC Curve (AUC) were based for evaluation of accuracy. Therefore, artificial neural network and statistical methods were selected to provide suitable maps in this area.

 
Keyword(s): LANDSLIDE HAZARD ZONATION, NILSON METHOD, MORA-VAHRSON METHOD, STATISTICAL METHOD, ARTIFICIAL NEURAL NETWORK (ANN), RECIEVER OPERATING CHARACTERISTIC (ROC) CURVE
 
References: 
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