Slope Stability Assessment and Landslide Susceptibility Map Production of Wadi Dhahr Area, Northwest of Sana’a, Yemen

A slope stability assessment of Wadi Dhahr area, located northwest of Sana’a the capital of Yemen, was carried out in this study. The study area consists of sandstone and volcanic rocks that are deformed by number of faults, joints and basaltic dykes. All the important factors affecting slope stability in the area such as slope angle, slope height, discontinuities measurements, weathering, vegetation cover, rainfall and previous landslides were evaluated. The study was conducted based on the integration of field investigation and satellite image processing. A landslide susceptibility map was produced with the Landslide Possibility Index (LP1) System, and the correlation values were computed between the factors measured and Landslide Possibility Index values. The fractures counted by satellite image were categorised according to their length and zones based on their concentrations. It was found that plain sliding and rockfall are the main modes of failure in the area, while rolling and toppling are rare. Some remedial measures are proposed to protect the slopes where it is needed, such as the removal of rock overhangs, unstable blocks and trees, and by supporting the toe of slopes and overhanging parts by retaining walls and erecting well sealed drainage conduits. The results will assist in slope management and land use planning in the area.

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Production of Landslide Susceptibility Map using Bayesian Probability Model

International Journal of 3-D Information Modeling ◽

10.4018/ij3dim.2015040102 ◽

2015 ◽

Vol 4 (2) ◽

pp. 16-33 ◽

Cited By ~ 1

Author(s):

Halil Akıncı ◽

Ayşe Yavuz Özalp ◽

Mehmet Özalp ◽

Sebahat Temuçin Kılıçer ◽

Cem Kılıçoğlu ◽

...

Keyword(s):

Land Use ◽

Land Use Planning ◽

Landslide Susceptibility ◽

Probability Model ◽

Bayesian Probability ◽

Slope Aspect ◽

Susceptibility Map ◽

Model Parameters ◽

Operating Characteristics ◽

Landslide Susceptibility Map

Artvin is one of the provinces in Turkey where landslides occur most frequently. There have been numerous landslides characterized as natural disaster recorded across the province. The areas sensitive to landslides across the province should be identified in order to ensure people's safety, to take the necessary measures for reducing any devastating effects of landslides and to make the right decisions in respect to land use planning. In this study, the landslide susceptibility map of the Central district of Artvin was produced by using Bayesian probability model. Parameters including lithology, altitude, slope, aspect, plan and profile curvatures, soil depth, topographic wetness index, land cover, and proximity to the road and stream were used in landslide susceptibility analysis. The landslide susceptibility map produced in this study was validated using the receiver operating characteristics (ROC) based on area under curve (AUC) analysis. In addition, control landslide locations were used to validate the results of the landslide susceptibility map and the validation analysis resulted in 94.30% accuracy, a reliable outcome for this map that can be useful for general land use planning in Artvin.

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A new approach in the development and analysis of the landslide susceptibility map of the hillslopes of Bujumbura, Burundi

EUREKA Physics and Engineering ◽

10.21303/2461-4262.2021.001724 ◽

2021 ◽

pp. 26-34

Author(s):

Desire Kubwimana ◽

Lahsen Ait Brahim ◽

Abdellah Abdelouafi

Keyword(s):

Landslide Susceptibility ◽

Slope Angle ◽

Landslide Inventory ◽

Slope Aspect ◽

Susceptibility Map ◽

Landslide Susceptibility Map ◽

Aerial Photos ◽

Conditioning Factors ◽

Mountainous Regions ◽

Tropical Environments

As in other hilly and mountainous regions of the world, the hillslopes of Bujumbura are prone to landslides. In this area, landslides impact human lives and infrastructures. Despite the high landslide-induced damages, slope instabilities are less investigated. The aim of this research is to assess the landslide susceptibility using a probabilistic/statistical data modeling approach for predicting the initiation of future landslides. A spatial landslide inventory with their physical characteristics through interpretation of high-resolution optic imageries/aerial photos and intensive fieldwork are carried out. Base on in-depth field knowledge and green literature, let’s select potential landslide conditioning factors. A landslide inventory map with 568 landslides is produced. Out of the total of 568 landslide sites, 50 % of the data taken before the 2000s is used for training and the remaining 50 % (post-2000 events) were used for validation purposes. A landslide susceptibility map with an efficiency of 76 % to predict future slope failures is generated. The main landslides controlling factors in ascendant order are the density of drainage networks, the land use/cover, the lithology, the fault density, the slope angle, the curvature, the elevation, and the slope aspect. The causes of landslides support former regional studies which state that in the region, landslides are related to the geology with the high rapid weathering process in tropical environments, topography, and geodynamics. The susceptibility map will be a powerful decision-making tool for drawing up appropriate development plans in the hillslopes of Bujumbura with high demographic exposure. Such an approach will make it possible to mitigate the socio-economic impacts due to these land instabilities

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Planet Image-Based Inventorying and Machine Learning-Based Susceptibility Mapping for the Landslides Triggered by the 2018 Mw6.6 Tomakomai, Japan Earthquake

Remote Sensing ◽

10.3390/rs11080978 ◽

2019 ◽

Vol 11 (8) ◽

pp. 978 ◽

Cited By ~ 15

Author(s):

Xiaoyi Shao ◽

Siyuan Ma ◽

Chong Xu ◽

Pengfei Zhang ◽

Boyu Wen ◽

...

Keyword(s):

Success Rate ◽

Landslide Susceptibility ◽

Slope Failure ◽

Slope Angle ◽

Training Dataset ◽

Support Vector ◽

Susceptibility Map ◽

Landslide Susceptibility Map ◽

Test Dataset ◽

Prediction Rate

The 5 September 2018 (UTC time) Mw6.6 earthquake of Tomakomai, Japan has triggered about 10,000 landslides with high density, causing widespread concern. We attempted to establish a detailed inventory of this slope failure and use proper methods to assess landslide susceptibility in the entire affected area. To this end we applied the logistic regression (LR) and the support vector machine (SVM) for this study. Based on high-resolution (3 m) optical satellite images (planet image) before and after the earthquake, we delineated 9295 individual landslides triggered by the earthquake, occupying an area of 30.96 km2. Ten controlling factors were selected for susceptibility analysis, including elevation, slope angle, aspect, curvature, distances to faults, distances to the epicenter, Peak ground acceleration (PGA), distance to rivers, distances to roads and lithology. Using the LR and SVM, two landslide susceptibility maps were produced for the study area. The results show that in the LR model, the success rate is 84.7% between the landslide susceptibility map and the training dataset, and the prediction rate is 83.9% shown by comparing the test dataset and the landslide susceptibility map. In the SVM model, a success rate of 90.9% exists between the susceptibility map and the test samples, and a prediction rate of 87.1% from comparison of the test dataset and the landslides susceptibility map. In comparison, the performance of the SVM is slightly better than the LR model.

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Application Of Logistic Regression Method To Produce Landslide Susceptibility Map: A Case Study Of Tetouan Mazari, Morocco

MATEC Web of Conferences ◽

10.1051/matecconf/201814902082 ◽

2018 ◽

Vol 149 ◽

pp. 02082

Author(s):

L. Ait Brahim ◽

M. Elmoulat

Keyword(s):

Logistic Regression ◽

Land Use Planning ◽

Landslide Susceptibility ◽

Accurate Method ◽

Slope Aspect ◽

Susceptibility Map ◽

Landslide Susceptibility Map ◽

Logistic Regression Method ◽

Validation Set

The main purpose of this study is to use logistic regression (RL) model to map landslide susceptibility in and around the area of Tetouan Mazari in the Northern Morocco. Parameters, such as lithology, slope gradient, slope aspect, faults, drainage lines, and hillshade, were considered. Landslide susceptibility map was produced using RL method and then compared and validated. Before the modeling and validation, the observed landslides were separated into two groups. The first group was for training, and the other group was for validation steps. The accuracy of the model was measured by fitting them to a validation set of observed landslides. For validation process, the half landslides remaining was used. The final map was classified into five classes: Very High (32%), High (40%), Medium (7%), Low (7%) and Nil (15%). According to these values logistic regression was determined to be one of the most accurate method to generate landslide susceptibility map. Last but not least, logistic regression model can be used to manage and mitigate hazards related to landslides and to aid in land-use planning for the city of Tetouan‥

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LANDSLIDE SUSCEPTIBILITY MAPPING OF THE NORTHEASTERN PART OF ACHAIA PREFECTUREUSING ANALYTICAL HIERARCHICAL PROCESS AND GIS TECHNIQUES

Bulletin of the Geological Society of Greece ◽

10.12681/bgsg.11338 ◽

2017 ◽

Vol 43 (3) ◽

pp. 1637

Author(s):

D. Rozos ◽

D.G. Bathrellos ◽

D.H. Skilodimou

Keyword(s):

Land Use Planning ◽

Landslide Susceptibility ◽

Landslide Susceptibility Mapping ◽

Susceptibility Map ◽

Landslide Susceptibility Map ◽

Analytical Hierarchical Process ◽

Stability Of Slopes ◽

High Zone ◽

Integrated Technique ◽

The Individual

Landslides are one of the most frequent and disastrous natural hazards worldwide. Thus, the need of landslide susceptibility maps is of primary importance as they are both a useful tool for the land use planning and a necessary step for future development activities. This paper presents an integrated technique of analytical hierarchical process (AHP) and geographic information system (GIS) to create a landslide susceptibility map of the NE part of Achaia prefecture. The study area mainly consists of Neogene deposits and it is a part of the Corinthian graben, which characterized by intense neotectonic activity. Therefore, it is affected by many slope movements that usually cause serious damages in inhabitant areas and road networks. Based on field survey data analysis six parameters were chosen as major parameters that influence the stability of slopes to the direction of landslide manifestation. The AHP method identifies both the rate of the individual classes, and the weight of each factor. Spatial layers with their corresponding rates and weights were linearly combined to prepare the landslide susceptibility map, which includes four zones of slope movement’s susceptibility, namely a low, a moderate a high and a very high zone. The evaluation and final confirmation of the map was based on a great number of recorded landslides in the area.

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DEVELOPING OF TRIGRS (TRANSIENT RAINFALL INFILTRATION AND GRID-BASED REGIONAL SLOPE–STABILITY ANALYSIS) INTO TRIGRS MAP FOR LANDSLIDE SUSCEPTIBILITY MAPPING

GEOMATIKA ◽

10.24895/jig.2016.22-1.569 ◽

2016 ◽

Vol 22 (1) ◽

pp. 37 ◽

Cited By ~ 1

Author(s):

Yunarto Yunarto

Keyword(s):

Slope Stability ◽

Landslide Susceptibility ◽

Pore Water Pressure ◽

Water Pressure ◽

Landslide Susceptibility Mapping ◽

Mapping Technique ◽

Susceptibility Map ◽

Process Data ◽

Landslide Susceptibility Map ◽

Pressure Changes

ABSTRACTTRIGRS is a modeling program for slope stability against the occurrence of landslide and pore water pressure changes due to infiltration of rainfall. There are two problems in TRIGRS operation. Firstly, whole data must have no mistake before being executed in TRIGRS. Secondly, TRIGRS is not completed by spatial visualization based on Geographic Information System (GIS), so it needs GIS e.g. MapInfo, ArcGIS, and ILWIS to visualize its result. The purpose of this paper is present the result of development of TRIGRS MAP by using integrated mapping technique between MapInfo and Visual Basic. Implementation of TRIGRS MAP for Bandung Regency area has generated a landslide susceptibility map of the area. By using TRIGRS MAP, user can avoid a mistake in data initialization and directly visualize its result as a map. Thus, TRIGRS MAP can be used to process data from other area for creating the landslide susceptibility map more easily and efficiently

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Landslide susceptibility mapping using AHP method and GIS in the peninsula of Tangier (Rif-northern morocco)

MATEC Web of Conferences ◽

10.1051/matecconf/201814902084 ◽

2018 ◽

Vol 149 ◽

pp. 02084 ◽

Cited By ~ 1

Author(s):

L Ait Brahim ◽

M Bousta ◽

I A Jemmah ◽

I El Hamdouni ◽

A ElMahsani ◽

...

Keyword(s):

Land Use ◽

Land Use Planning ◽

Landslide Susceptibility ◽

National Development ◽

Development Program ◽

Landslide Susceptibility Mapping ◽

Susceptibility Map ◽

Landslide Susceptibility Map ◽

The Road ◽

Fault Density

The peninsula of Tangier (Northern Morocco) is submitted to a significant number of landslides each year due to its lithological, structural and morphological complexity; which cause a lot of damage to the road network and other related infrastructure. The main objective of this study is to create a landslide indexed susceptibility map of Tangier peninsula, by using AHP (Analytical Hierarchical Processes) model to calculate each factor’s weight. The work is made via GIS by using an ArcGIS AHP extension. In the current research, First of all, the four main types of landslides were identified and mapped from existing documents, works and new data which came from either remote sensing or fieldwork. Lithology, land use, slope, hypsometry, exposure, fault density and drainage network density were used as main parameters controlling the occurrence of the selected landslides. Then, afterward, each parameter is classified into a number of significant classes based on their relative influence on gravitational movement genesis. The validity of the susceptibility zoning map which is obtained through linear summation of indexed maps was tested and cross-checked by inventoried and studied landslides. The obtained landslide susceptibility map constitutes a powerful decision-making tool in land-use planning, i.e. New highways, secondary highways, railways, etc. within the national development program in the Northern provinces. It is a necessary step for the landslides hazard assessment in the Tangier peninsula in northern Morocco.

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Landslide susceptibility mapping of SE Serbia using GIS

Geoloski anali Balkanskog poluostrva ◽

10.2298/gabp1902105d ◽

2019 ◽

Vol 80 (2) ◽

pp. 105-116

Author(s):

Sonja Djokanovic

Keyword(s):

Landslide Susceptibility ◽

Slope Angle ◽

Landslide Susceptibility Mapping ◽

Susceptibility Map ◽

Susceptibility Assessment ◽

High Susceptibility ◽

Landslide Susceptibility Map ◽

Analytic Hierarchy ◽

Hierarchy Process ◽

Very High

Landslides represent a great problem in Serbia. According to current estimates 30-35 % of Serbia is affected by landslides. In this paper a landslide susceptibility analysis is done for SE Serbia. Study area covers 1507 km2. Relief is hilly or mountainous and characterized by high altitude differences. Analysis is done by geographic information system (GIS) and evaluation by analytic hierarchy process (AHP). For susceptibility assessment are used four factors: lithology, slope angle, distance to rivers and distance to faults. The most landslides are formed on slope steepness less than 30?. There is four classes of susceptibility in study area. Zone of very high susceptibility make 63.9 % of the study area. Zone of high susceptibility covers 15.7 % of the study area. The moderate class occupies 37.4% and zone classified as having low susceptibility accounts for 10 % of study area. Final landslide susceptibility map of SE Serbia is satisfactory.

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