Landslide susceptibility evaluation and hazard zonation techniques \u2013 a review

Leulalem Shano,Tarun Kumar Raghuvanshi,Matebie Meten

doi:10.1186/s40677-020-00152-0

Abstract

Landslides are the most destructive geological hazard in the hilly regions. For systematic landslide mitigation and management, landslide evaluation and hazard zonation is required. Over the past few decades several techniques have been developed that can be used for landslide evaluation and zonation. These techniques can broadly be classified into qualitative and quantitative approaches. Qualitative approaches include geomorphological analysis and heuristic techniques whereas quantitative approaches include statistical, artificial intelligence and deterministic techniques. In quantitative techniques prediction for landslide susceptibility is based on the actual realistic data and interpretations. Further, the quantitative techniques also overcome the subjectivity of qualitative approaches. Each of these techniques may consider different causative factors and utilizes various means for factor evaluation and analysis. When compared, each of these techniques has its own advantage and disadvantage over other techniques. The selection of appropriate technique for landslide hazard evaluation and zonation is very crucial. The factors that need to be considered to adopt an appropriate approach are; investigation purpose, the extent of the area to be covered, the type of mapping units, the scale of map to be produced, type of data to be used, type of landslides, availability of resources, capability and skill set of an evaluator and the accessibility to the study area. The main aim of this article is to present a comprehensive review on various techniques and approaches available for landslide susceptibility and hazard zonation mapping. Further, attempt is also made to assess the effectiveness of these techniques in landslide hazard zonation studies.

Highlights

Landslides are considered to be the most damaging geological hazard in mountainous regions (Mengistu et al 2019; Hamza and Raghuvanshi 2017; Girma et al 2015; Raghuvanshi et al 2014a; Pan et al 2008; Kanungo et al 2006; Crozier and Glade 2005; Dai et al 2002; Parise and Jibson 2000; Varnes 1996)
In multivariate methods for landslide susceptibility analysis, percentage of landslides for each pixel is determined and data layer on landslide presence or absence is developed through statistical analysis
Each of these factors may influence landslide process and in combination they result into landslide activity

Summary

Introduction

Landslides are considered to be the most damaging geological hazard in mountainous regions (Mengistu et al 2019; Hamza and Raghuvanshi 2017; Girma et al 2015; Raghuvanshi et al 2014a; Pan et al 2008; Kanungo et al 2006; Crozier and Glade 2005; Dai et al 2002; Parise and Jibson 2000; Varnes 1996). Landslide susceptibility mapping or zonation is the subdivision of the terrain in to zones that have a different likelihood for landslide occurrence. It includes spatial distribution, size, location and displacement of the. For landslide studies it is generally assumed that the combination of these factors may possibly lead to landslides in a given area Evaluation of these factors and their relation with the past landslides in an area may form the basis for the (2020) 7:18 prediction of future landslides (Chimidi et al 2017; Negassa and Kala 2015; Girma et al 2015)

Objectives

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Discussion

Conclusion