A Review of the Prediction Methods for Landslide Runout

• Published in: Proceedings Vol. 87; no. 1; p. 3
• Main Authors: Muge Pinar Komu, Hakan Ahmet Nefeslioglu, Candan Gokceoglu
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.05.2023
• Subjects: empirical–statistical method; numerical method; runout analysis; shallow landslide
• ISSN: 2504-3900
• DOI: 10.3390/IECG2022-14604

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 rate of shallow landslides in recent years. Despite the considerable progress made in engineering studies, shallow landslides continue to cause considerable damage in different areas of the planet. Therefore, runout analyses are becoming more and more popular ways of building resilience to the negative effects of shallow landslides. Runout analyses are such crucial parts of shallow landslide studies that researchers have been keen to contribute to the existing knowledge on the subject. 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, we had not 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.