Hazard mapping of ground subsidence in east area of Sapporo using frequency ratio model and GIS
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...
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description | 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. |
doi_str_mv | 10.1080/19475705.2021.1873198 |
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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.</description><identifier>ISSN: 1947-5705</identifier><identifier>EISSN: 1947-5713</identifier><identifier>DOI: 10.1080/19475705.2021.1873198</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>Boreholes ; Damage prevention ; earthquake ; Earthquake damage ; Earthquakes ; frequency ratio model ; Geographic information systems ; Geographical information systems ; Geologic mapping ; Geological mapping ; Geological maps ; GIS ; Ground subsidence ; Hydrologic data ; Information systems ; Land use ; Mapping ; Modelling ; Precipitation data ; Quantitative research ; Remote sensing ; Seismic activity ; Subsidence ; susceptibility map ; Urban areas</subject><ispartof>Geomatics, natural hazards and risk, 2021-01, Vol.12 (1), p.347-362</ispartof><rights>2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2021</rights><rights>2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). 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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.</description><subject>Boreholes</subject><subject>Damage prevention</subject><subject>earthquake</subject><subject>Earthquake damage</subject><subject>Earthquakes</subject><subject>frequency ratio model</subject><subject>Geographic information systems</subject><subject>Geographical information systems</subject><subject>Geologic mapping</subject><subject>Geological mapping</subject><subject>Geological maps</subject><subject>GIS</subject><subject>Ground subsidence</subject><subject>Hydrologic data</subject><subject>Information systems</subject><subject>Land use</subject><subject>Mapping</subject><subject>Modelling</subject><subject>Precipitation data</subject><subject>Quantitative research</subject><subject>Remote sensing</subject><subject>Seismic activity</subject><subject>Subsidence</subject><subject>susceptibility map</subject><subject>Urban areas</subject><issn>1947-5705</issn><issn>1947-5713</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>DOA</sourceid><recordid>eNp9kc1q3DAURk1poSHJIxQEXc9Uki1dedcS2mQg0EXStbj6Gzx4rOmVTZk-feVOmmW1kbic70jia5oPgm8FN_yT6DtQwNVWcim2wkArevOmuVrnGwWifft65up9c1vKgdfVSgO8u2rsA_5GCuyIp9Mw7VlObE95mQIriytDiJOPbJhYxDIzpIgr8VThTJktZY0kij-Xyp0Z4Txkdswhjgyr4n73dNO8SziWePuyXzc_vn19vnvYPH6_3919edx4JWDeYIhOSIlSgEHRA6BzWkXpTachmeg8OuMhJddBUqp3yQiA1EnpddAR2utmd_GGjAd7ouGIdLYZB_t3kGlvkebBj9Fq0M4lb3wLbSdDwhiFbqVQPXQ-yVhdHy-uE-X6szLbQ15oqs-3UguptNRGV0pdKE-5FIrp9VbB7VqN_VeNXauxL9XU3OdLbphSpiP-yjQGO-N5zJQIJz8U2_5f8Qe-apUw</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Na, Taeyoo</creator><creator>Kawamura, Youhei</creator><creator>Kang, Seong-seung</creator><creator>Utsuki, Shinji</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis Group</general><scope>0YH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>H97</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><scope>DOA</scope></search><sort><creationdate>20210101</creationdate><title>Hazard mapping of ground subsidence in east area of Sapporo using frequency ratio model and GIS</title><author>Na, Taeyoo ; Kawamura, Youhei ; Kang, Seong-seung ; Utsuki, Shinji</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c517t-adeb122a2178a1977abb65e2c8467f8ebcab8c7ffb47f559bf8177f422c6d6e73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Boreholes</topic><topic>Damage prevention</topic><topic>earthquake</topic><topic>Earthquake damage</topic><topic>Earthquakes</topic><topic>frequency ratio model</topic><topic>Geographic information systems</topic><topic>Geographical information systems</topic><topic>Geologic mapping</topic><topic>Geological mapping</topic><topic>Geological maps</topic><topic>GIS</topic><topic>Ground subsidence</topic><topic>Hydrologic data</topic><topic>Information systems</topic><topic>Land use</topic><topic>Mapping</topic><topic>Modelling</topic><topic>Precipitation data</topic><topic>Quantitative research</topic><topic>Remote sensing</topic><topic>Seismic activity</topic><topic>Subsidence</topic><topic>susceptibility map</topic><topic>Urban areas</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Na, Taeyoo</creatorcontrib><creatorcontrib>Kawamura, Youhei</creatorcontrib><creatorcontrib>Kang, Seong-seung</creatorcontrib><creatorcontrib>Utsuki, Shinji</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Geomatics, natural hazards and risk</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Na, Taeyoo</au><au>Kawamura, Youhei</au><au>Kang, Seong-seung</au><au>Utsuki, Shinji</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hazard mapping of ground subsidence in east area of Sapporo using frequency ratio model and GIS</atitle><jtitle>Geomatics, natural hazards and risk</jtitle><date>2021-01-01</date><risdate>2021</risdate><volume>12</volume><issue>1</issue><spage>347</spage><epage>362</epage><pages>347-362</pages><issn>1947-5705</issn><eissn>1947-5713</eissn><abstract>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.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/19475705.2021.1873198</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Boreholes Damage prevention earthquake Earthquake damage Earthquakes frequency ratio model Geographic information systems Geographical information systems Geologic mapping Geological mapping Geological maps GIS Ground subsidence Hydrologic data Information systems Land use Mapping Modelling Precipitation data Quantitative research Remote sensing Seismic activity Subsidence susceptibility map Urban areas |
title | Hazard mapping of ground subsidence in east area of Sapporo using frequency ratio model and GIS |
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