EventsThe 4th International Electronic Conference on Geosciences
Published
This submission belongs to the session a. Geoscientific Research for Natural Hazard & Risk Assessment of the event The 4th International Electronic Conference on Geosciences
Published date
16 May, 2023
Academic Editor
author-avatarStefano Devoto
Citation
Hakan Nefeslioglu, Muge Komu, Candan Gokceoglu, A review of the prediction methods for landslide runout, in Proceedings of The 4th International Electronic Conference on Geosciences, 1 December–15 December 2022, MDPI: Basel, Switzerland, doi: 10.3390/IECG2022-14604
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A review of the prediction methods for landslide runout

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1. Eskisehir Technical University
2. Eskisehir Technical University, Turkey (Türkiye)
3. Hacettepe University
Abstract

Shallow landslides which are generally triggered by extreme precipitation events are increasingly becoming common in the world. Societies have had difficulty in keeping up with the exponentially rising shallow landslides in recent years. Despite considerable progress in engineering studies, shallow landslides continue to cause much damage in different areas of the planet. Therefore, runout analyses are becoming more and more popular in an attempt to resilience the negative effects of shallow landslides. Runout analyses are such crucial parts of shallow landslide studies that researchers have been keen on contributing to the existing knowledge. Earlier research suggested that runout analyses can be studied with empirical-statistical and numerical methods. Although there exist numerous landslide runout studies related to empirical-statistical and numerical solutions, it is not yet encountered a comparison of empirical-statistical and numerical methods' advantages and disadvantages in the literature. This research presents an evaluation of the advantages and disadvantages of the runout analysis methods.

Keywords
Shallow Landslide
Runout Analysis
Empirical-Statistical Method
Numerical Method
Manuscript
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