@phdthesis{oai:air.repo.nii.ac.jp:00005513,
 author = {NA, TAEYOO},
 month = {Sep},
 note = {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.},
 school = {秋田大学},
 title = {Application of frequency ratio model and GIS on susceptibility mapping of ground subsidence influenced by earthquake},
 year = {2021}
}