EGU22-13239
https://doi.org/10.5194/egusphere-egu22-13239
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assessment of post-seismic landslide susceptibility using an index representative of seismic cracks 

Mio Kasai1 and Shui Yamaguchi2
Mio Kasai and Shui Yamaguchi
  • 1Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
  • 2Graduate School of Agriculture, Hokkaido University, Sapporo, Japan

In an area experienced a strong earthquake, the formation of clusters of seismic cracks is considered related to susceptibility to post-seismic slides. However, the relationship between crack distribution and the occurrence of post-seismic slides has rarely been evaluated. This study developed an index representing the spatial density of seismic cracks (dense crack index: DCI) for the area where post-seismic slides were identified after the 2016 Kumamoto earthquake (Mw 7.0). The susceptibility of post-seismic slides was then assessed using models that incorporated the weight of evidence (WoE) and random forest (RF) methods, with the DCI as a conditioning factor. Both the models confirmed the importance of the DCI, although the improvement in model performance as indicated by area under the curve values was marginal or negligible by including the index. This was largely because the combination of features that indicated where open cracks were likely to occur, or ridgelines where seismic waves were prone to be amplified, could compensate for the absence of the index. The contribution of the DCI could be improved if more accurate LiDAR data were used in the analysis.

How to cite: Kasai, M. and Yamaguchi, S.: Assessment of post-seismic landslide susceptibility using an index representative of seismic cracks , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13239, https://doi.org/10.5194/egusphere-egu22-13239, 2022.