Landslide susceptibility mapping using information value and frequency ratio for the Arzew sector (North-Western of Algeria)

Year 2019, Volume: 160 Issue: 160, 197 - 211, 27.12.2019

Roukh Zıne El Abıdıne Nadji Abdelmansour

https://doi.org/10.19111/bulletinofmre.502343

Cited By: 9

Abstract

Geological hazards
present one of the most important constraints for the development of the Arzew
sector (Oran province), North Western of Algeria. Landslides are considered us
one of the most common phenomena in the study area and especially in the hilly area.
For minimizing and reducing the consequences of this problem, it is necessary to
carry out preliminary studies on the cartography of the different zones exposed
to the slope instability phenomena. The main objective of this study is to
perform the landslide susceptibility mapping by statistical models and GIS
techniques for the Arzew area. To achieve this goal, an analytical approach was
carried out. Firstly, a landslide inventory map was prepared using previous
inventory maps, satellite images, aerial photos and field surveys. Secondly seven
conditioning factors such as slope degree, aspect, lithology, land use, distance
to the streams, distance to the road and altitude were exploited to assess
landslide susceptibility. Thirdly, the weight value for each class of the
conditioning factors was determined using Frequency Ratio (FR) and Information Value
(IV) models based in GIS functionalities. Consequently, Landslide
Susceptibility Maps (LSMs) were produced by the classification process of the
global Landslide Susceptibility Indexes (LSIs) into five classes. Finally, for
experiment verification, the LSMs obtained with the FR and IV models were
confirmed comparing LSMs with landslide inventory map using both the Receiver Operating
Characteristics (ROC) and the Seed Cell Area Index (SCAI) models. The area
under curve (AUC) results, demonstrate that the IV method more performance
(89.03%) for LSM than FR method (85.57%). Furthermore, the validation results
using SCAI   also confirmed that the IV
model was more accurate than FR model. The models employed in this study are capable
to resolve the issue of the landslide susceptibility of the study area. The produced
susceptibility maps can be used for future land use planning and can be considered
as a powerful tool to resolve the spatial distribution of the risk associated
to landslides.

Keywords

Landslide susceptibility mapping, Frequency Ratio, Information value, Arzew, Algeria

Thanks

This research was supported by University Oran 2 Mohamed Benahmed, Algeria. The authors are grateful to the Organizing Committee of ISEMG 2018 and to Professor M. Gürhan Yalçın, Professor Hamidi Mansour and Professor Hassani Moulay Idris for their valuable comments and suggestions. The authors would to like to thanks the anonymous reviewers for their constructive comments of this work.

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