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  1. 40 国際資源学研究科・国際資源学部
  2. 40F 学位論文
  3. 40F1 博士論文
  4. R3年度(40F1)

Application of frequency ratio model and GIS on susceptibility mapping of ground subsidence influenced by earthquake

https://doi.org/10.20569/00005830
https://doi.org/10.20569/00005830
7a60c29b-c883-4905-a820-9fdc3af333c9
名前 / ファイル ライセンス アクション
shihakuyoushikou1393.pdf 内容要旨及び審査結果要旨 (187.5 kB)
shihakukou1393.pdf 本文 (4.7 MB)
Item type 学位論文 / Thesis or Dissertation(1)
公開日 2021-11-18
タイトル
タイトル Application of frequency ratio model and GIS on susceptibility mapping of ground subsidence influenced by earthquake
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_db06
資源タイプ doctoral thesis
ID登録
ID登録 10.20569/00005830
ID登録タイプ JaLC
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
別タイトル
その他のタイトル FRモデルとGISを活用した地震による地盤沈下ハザードマッピングシステムの開発
作成者 NA, TAEYOO

× NA, TAEYOO

NA, TAEYOO

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内容記述(抄録)
内容記述タイプ Other
内容記述 Land subsidence is one of typical secondary disaster related to earthquake and occurs annually, worldwide. Accordingly, large economic losses and deaths in densely industrialized and highly populated urban areas as a result of these hazards. As a major earthquake occurred in Iburi subprefecture, Japan on September 2018, Sapporo has also damaged by ground subsidence. The purpose of this study is assessing the vulnerability of earthquake-induced land subsidence in Sapporo, Japan and produce susceptibility map. For this aim, bivariate statistical analysis method (frequency ratio model) and geographic information system (GIS) technique were applicated. For the susceptibility modelling, past ground subsidence location map was prepared. And seven ground subsidence causative factors were considered for the subsidence probability analysis include: geology, slope angle, land use, ground water level, distance from railroad and subway line, intensity of earthquake (MMI) and rainfall. Weightage for each conditioning factors were identified using frequency ratio model to assess subsidence susceptibility index and mapped using GIS. Area under curve (AUC) was applied to verify the performance of predicted model using prepared past ground subsidence location map. The prediction accuracies were (1) 85.17% for Higashi ward, (2) 95.44% for Kiyota ward and (3) 83.22 for Sapporo, respectively.
This result showed sufficient possibility for reliable susceptibility mapping of ground subsidence using GIS and frequency ratio model. EGSSM can be used as a helpful material on ground subsidence risk influenced by earthquake to reduce the scale of damages and manage in advance, effectively. The result of this study can be used as a helpful material for the disaster risk mitigation and efficient management in urban area. Keywords: Ground subsidence, Earthquake, Ground subsidence susceptibility, Frequency ratio model, GIS.
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
書誌情報 発行日 2021-09-24
出版者
出版者 秋田大学
著作権等
権利情報 Copyright 2021 [Taeyoo Na]
学位名
学位名 博士(工学)
学位授与機関
学位授与機関識別子Scheme kakenhi
学位授与機関識別子 11401
学位授与機関名 秋田大学
学位授与年月日
学位授与年月日 2021-09-24
学位授与番号
学位授与番号 甲第1393号
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