An Inverse Analysis Algorithm on Liquefaction Triggering Factors Using Satellite Synthetic Aperture Radar Data

DOI

Bibliographic Information

Other Title
  • 衛星ＳＡＲデータを適用した液状化誘因逆推定アルゴリズムの一提案

Description

This paper presents an inverse analysis algorithm of liquefaction trigger-factors applying the Synthetic Aperture Radar (SAR) data observed by JERS-1. In the inverse analysis model based on the SEM (Structural Equation Modeling) approach, a Trigger Factor Influence map (termed "TFI map") could be produced through the "measurement-equation" defined by the causal factors (i.e., the geographical information (GI), the satellite SAR data) and the liquefaction trigger factors. In producing the TFI maps, the following examination cases have been executed : Case-1) Only using GI, Case-2) Using GI and the SAR data. Through hypothesis testing for evaluating model fit, the Case 2 of applying the SAR data indicates better fit of the model. Furthermore, as a practical utilization of the SAR data itself, as well as a final product, the "Risky- and Safe-side assessment" sub-area is delineated on a difference map (termed "DIF map") between the TFI maps in each case. The DIF map and its interpretation might be useful not only for estimating unobserved trigger factors as supporting and heuristic information, but also for improving the cost-effectiveness of locating the places for setting the field measuring systems.

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Details 詳細情報について

  • CRID
    1390282679642549632
  • NII Article ID
    130003440810
  • DOI
    10.11440/rssj1981.26.9
  • ISSN
    18831184
    02897911
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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