Hazard mapping of ground subsidence in east area of Sapporo using frequency ratio model and GIS
Autor: | Tae-Yoo Na, Seong-Seung Kang, Youhei Kawamura, Shinji Utsuki |
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Rok vydání: | 2021 |
Předmět: |
Hazard mapping
Frequency ratio susceptibility map gis Environmental technology. Sanitary engineering ground subsidence Environmental sciences HD61 earthquake frequency ratio model General Earth and Planetary Sciences GE1-350 Risk in industry. Risk management TD1-1066 Geology Seismology Ground subsidence General Environmental Science |
Zdroj: | Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 347-362 (2021) |
ISSN: | 1947-5713 1947-5705 |
DOI: | 10.1080/19475705.2021.1873198 |
Popis: | As an earthquake occurred in Iburi subprefecture, Japan on September 2018, Sapporo has also been damaged by ground subsidence. Ground subsidence can occur in various area, especially in urban areas causing considerable damage to human lives and properties. Currently, ground subsidence is one of the most important problems all over the world. However, quantitative research about ground subsidence due to earthquake that particularly occurred in urban area was not well studied. To prevent and minimize critical damage caused by subsidence, this study aims to construct hazard map to predict susceptible subsidence place in East area of Sapporo, using geographic information system (GIS) and frequency ratio (FR) model. To determine major factors related to ground subsidence, spatial databases were constructed from geological map, slope data, land use map, borehole data, precipitation data, railroad and subway line data and earthquake information data. Weight of each factors were estimated by FR model to analyze degree of subsidence hazard and construct subsidence hazard map. Constructed subsidence susceptibility map was compared with reported actual ground subsidence area for verification and showed prediction accuracy of 85.17%. This result showed sufficient possibility for reliable susceptibility mapping of ground subsidence using GIS and FR model. |
Databáze: | OpenAIRE |
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