SELF-ORGANIZING MAPS CLASSIFICATION OF SOIL PROPERTIES IN LEVEE USING DIFFERENT GEOPHYSICAL DATA

• MIYAKAWA Ayumu

  京都大学大学院 工学研究科社会基盤工学専攻博士課程

• TSUJI Takeshi

  京都大学大学院 工学研究科

• MATSUOKA Toshifumi

  京都大学大学院 工学研究科

• YAMAMOTO Tsuyoshi

  国土交通省 近畿地方整備局

Bibliographic Information

Other Title

• 自己組織化マップを用いた複合物理探査による堤防内土質性状の分類

Abstract

  We propose a classification method to determine the soil type of a river levee using Self-Organizing Maps and k-means method. In order to classify the soil of the levee, electromagnetic waveform, S-wave velocity and resistivity data are acquired by ground penetration radar, surface wave survey, and electrical prospecting, respectively. Envelop and semblance were also calculated from electromagnetic wave reflected waveform. The multi-dimensional data sets are then classified using Self-Organizing Maps and k-means method. The classification results agree very well to the observed nature of the soil properties in the levee. Moreover, we were able to estimate the soil properties from the output of the classification.

Journal

• Doboku Gakkai Ronbunshuu C

  Doboku Gakkai Ronbunshuu C 66 (1), 89-99, 2010

  Japan Society of Civil Engineers

Keywords

• levee survey
• Self-Organizing Maps
• k-means method
• soil classification

Details

• CRID: 1390282680230379264
• NII Article ID: 130004468381
• DOI: 10.2208/jscejc.66.89
• ISSN: 1880604X
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed