Re-Estimation Method of Landslide-Triggering Rainfall Thresholds After an Earthquake with the Two Conceptual Models

Shuin, Yasuhiro; Hotta, Norifumi; Suzuki, Masatoshi; Matsue, Keigo; Aruga, Kazuhiro; Tasaka, Toshiaki

doi:10.1007/978-3-642-32238-9_48

Cited by 1 publication

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, there is a concern that the landslide capture rate might be lower than with the regular CL. To date, the scale-down ratios were considered in some case studies [Tomita, 1998;Shuin, 2012] and laboratory experiments [Hiramatsu, 2004;Torii, 2007]. Although these researches indicate that earthquakes cause some scaling down of CL, the ratios vary among the studies.…”

Section: Original Articlementioning

confidence: 99%

Landslide-triggering Rainfall Thresholds after Major Earthquakes for Early Warning

Nomura

Okamoto

Kuramoto

et al. 2014

IJECE

View full text Add to dashboard Cite

Early-warning systems for natural disasters are important tools for disaster risk reduction. In 2005, the Japanese government initiated a new nationwide early-warning system for landslide disasters. The system uses the RBFN method to set the criterion (Critical Line: CL) primarily based on rainfall data recorded as not triggering disasters. Moreover, after large earthquakes, the thresholds (CL) are scaled down by 20-50%, considering the seismic disturbances in the slopes. In this study, we examined the validity of these ratios by analyzing disasters which occurred during the seven months after the Great East Japan Earthquake. As a result, we found that the use of interim CL improved the landslide capture rate by 18.8%, indicating that the interim standard is effective. The required minimum ratio of scaling down the interim CL is 20-30% in areas affected by more than level 5+ earthquakes without changes of landslide capture rates. The required minimum ratios are expected to reduce false predictions.

show abstract

Section: Original Articlementioning

confidence: 99%