Abstract

Abstract. Soil liquefaction damages were caused by huge earthquake in Japan, and the similar damages are concerned in near future huge earthquake. On the other hand, a preparation of soil liquefaction risk map (soil liquefaction hazard map) is impeded by the difficulty of evaluation of soil liquefaction risk. Generally, relative soil liquefaction risk should be able to be evaluated from landform classification data by using experimental rule based on the relationship between extent of soil liquefaction damage and landform classification items associated with past earthquake. Therefore, I rearranged the relationship between landform classification items and soil liquefaction risk intelligibly in order to enable the evaluation of soil liquefaction risk based on landform classification data appropriately and efficiently. And I developed a new method of generating landform classification data of 50-m grid size from existing landform classification data of 250-m grid size by using digital elevation model (DEM) data and multi-band satellite image data in order to evaluate soil liquefaction risk in detail spatially. It is expected that the products of this study contribute to efficient producing of soil liquefaction hazard map by local government.

Highlights

  • In this study, I rearranged the relationship between landform classification items and soil liquefaction risk intelligibly in order to enable the evaluation of soil liquefaction risk based on landform classification data appropriately and efficiently

  • I developed a new method of generating landform classification data of 50-m grid size from existing landform classification data of 250-m grid size by using digital elevation model (DEM) data and multiband satellite image data in order to evaluate soil liquefaction risk in detail spatially

  • I rearranged the relationship between landform classification items and soil liquefaction risk intelligibly in order to enable the evaluation of soil liquefaction risk based on landform classification data properly and effectively

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Summary

Outline of this study

2.1 Creation the systematic chart between landform classification items and evaluation standard of soil liquefaction risk for producing soil liquefaction hazard map. In the quantitative analysis based on the actual cases in the Kanto district, liquefaction occurrence rate for each landform classification items was calculated by superimposing liquefaction damage distribution information associated with the Great East Japan Earthquake in 2011 (Kanto Regional Development Bureau, Ministry of Land, Infrastructure and Transport and The Japanese Geotechnical Society, 2011) and detailed landform classification data produced by Geospatial Information Authority of Japan, and it was used to judge the liquefaction risk magnitude In this process, I simplified by means of reduction of the number of landform classification items and intensiveness of landform classification items belonging to same risk level by specializing soil liquefaction hazard map. ・Alluvial fan (gradient less than 1/100) ・Natural levee (relative height 5-m or more) ・Marine sand and gravel bars ・Valley plain / Costar plain (gradient 1/100 or more)

Derivation of classification rules
Development an automated classification data generation program landform
Effects of this study results
Improvement of efficiency of landform classification data creation work
Improvement of accuracy of soil liquefaction risk evaluation
Summary and Challenges

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