An inverse and decompositional analysis of unobserved trigger factors according to slope failure types

H. Kojima, Y. Taguchi, K. Nishimura, S. Obayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents an inverse- and decompositional-analysis of unobserved trigger factors according to slope failure types. Due to the difficulties of pixel-based observation on the trigger factors, we had proposed the inverse analysis algorithm based on the structural equation modeling (SEM). Through the "measurement equation" defined between the causal factors (i.e., observed variables) and the trigger factor (i.e., unobserved latent variable), the trigger factor can be inversely estimated. As the subsequent subjects for the previous studies, in this contribution, we have tried to decompose trigger factors into the "1 st trigger factor" and the "2 nd trigger factor" with respect to slope failure types, such as surface slope failure, deep-seated slope failure, and landslide, which had been induced by Niigata Chuetsu Earthquake (Oct. 23, 2004). The 1 st and the 2 nd trigger factor influence map have been also produced according to the slope failure types. As a final outcome, the differences in these TFI maps are delineated on a "difference (DIF) map" that enables us to analyze the difference of trigger factor influence with respect to slope failure types simultaneously.

Original languageEnglish
Title of host publicationDisaster Management and Human Health Risk
Subtitle of host publicationReducing Risk, Improving Outcomes
Pages297-308
Number of pages12
DOIs
Publication statusPublished - 1 Dec 2009
Event1st International Conference on Disaster Management and Human Health: Reducing Risk, Improving Outcomes - New Forest, United Kingdom
Duration: 23 Sep 200925 Sep 2009

Publication series

NameWIT Transactions on the Built Environment
Volume110
ISSN (Print)1743-3509

Conference

Conference1st International Conference on Disaster Management and Human Health: Reducing Risk, Improving Outcomes
CountryUnited Kingdom
CityNew Forest
Period23/09/0925/09/09

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Keywords

  • Geographical information
  • Inverse and decompositional analysis of trigger factors
  • Satellite remotely sensed data
  • Slope failure types
  • Structural equation modeling

Cite this

Kojima, H., Taguchi, Y., Nishimura, K., & Obayashi, S. (2009). An inverse and decompositional analysis of unobserved trigger factors according to slope failure types. In Disaster Management and Human Health Risk: Reducing Risk, Improving Outcomes (pp. 297-308). (WIT Transactions on the Built Environment; Vol. 110). https://doi.org/10.2495/DMAN090261