Rainfall characteristics and magnitude control the volume of shallow and deep-seated landslides: Inferences from analyses using a simple runoff model

Landslide volume plays a pivotal role in controlling landslide movement and potential damage. Although rainfall is widely recognized as one of the most important factors underlying landslide occurrence worldwide, its impact on landslide volume has been investigated only for individual landslide types. In this study, we show that rainfall characteristics and magnitude control the volume produced by both shallow and deep-seated landslides. A total of ten shallow and deep-seated landslides in Japan were compiled with volume, occurrence time, and rainfall data. Rainfall characteristics that triggered landslides were identified using the Soil Water Index and the three-layer tank model, which is a simple runoff model, and magnitude was quantified based on lag time. A strong positive correlation was found between lag time and landslide volume, indicating that landslide volume increases with increasing magnitude of rainfall to induce landslides. This study is the first attempt to suggest a relationship between rainfall magnitude and the volume produced by shallow and deep-seated landslides systematically and will promote the development of landslide risk management strategies. • Rainfall indices determined rainfall characteristics inducing two landslide types. • The lag time was proposed to indicate the magnitude of rainfall characteristics. • The volumes of shallow and deep-seated landslides increased with longer lag times.

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Publication Details

Journal
Geomorphology
Published
2024-10-12
DOI
https://doi.org/10.1016/j.geomorph.2024.109453
Citations
7
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
4.97

Funders

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article

Rainfall characteristics and magnitude control the volume of shallow and deep-seated landslides: Inferences from analyses using a simple runoff model

Tadamichi Sato, Yasuhiro Shuin
7 citations
Geomorphology
Landslides and related hazards
4.97
article

Rainfall characteristics and magnitude control the volume of shallow and deep-seated landslides: Inferences from analyses using a simple runoff model

Tadamichi Sato, Yasuhiro Shuin
article en
7 citations

Abstract

Landslide volume plays a pivotal role in controlling landslide movement and potential damage. Although rainfall is widely recognized as one of the most important factors underlying landslide occurrence worldwide, its impact on landslide volume has been investigated only for individual landslide types. In this study, we show that rainfall characteristics and magnitude control the volume produced by both shallow and deep-seated landslides. A total of ten shallow and deep-seated landslides in Japan were compiled with volume, occurrence time, and rainfall data. Rainfall characteristics that triggered landslides were identified using the Soil Water Index and the three-layer tank model, which is a simple runoff model, and magnitude was quantified based on lag time. A strong positive correlation was found between lag time and landslide volume, indicating that landslide volume increases with increasing magnitude of rainfall to induce landslides. This study is the first attempt to suggest a relationship between rainfall magnitude and the volume produced by shallow and deep-seated landslides systematically and will promote the development of landslide risk management strategies. • Rainfall indices determined rainfall characteristics inducing two landslide types. • The lag time was proposed to indicate the magnitude of rainfall characteristics. • The volumes of shallow and deep-seated landslides increased with longer lag times.

GeomorphologyVol. 466
Kyushu University (JP)
Japan Society for the Promotion of Science
Climate action
Openalex Percentile: Top 5%
Landslides and related hazards
4.97
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Rainfall characteristics and magnitude control the volume of shallow and deep-seated landslides: Inferences from analyses using a simple runoff model — Tadamichi Sato, Yasuhiro Shuin · Geomorphology (2024) | TGRS Research Map | TGRS