Tsunami Fragility Functions for Road and Utility Pole Assets Using Field Survey and Remotely Sensed Data from the 2018 Sulawesi Tsunami, Palu, Indonesia
The 2018 Sulawesi tsunami caused widespread impacts in Palu City, Indonesia, including to components of infrastructure lifeline networks. Lifeline networks are key to the operation of society and are particularly crucial during post-disaster relief and recovery efforts. Understanding their vulnerabi...
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Veröffentlicht in: | Pure and applied geophysics 2020-08, Vol.177 (8), p.3545-3562 |
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description | The 2018 Sulawesi tsunami caused widespread impacts in Palu City, Indonesia, including to components of infrastructure lifeline networks. Lifeline networks are key to the operation of society and are particularly crucial during post-disaster relief and recovery efforts. Understanding their vulnerability to tsunami hazards is important for disaster risk reduction, but is an understudied topic. This study uses field survey and remotely sensed data to develop a single dataset, used to create tsunami fragility functions for road and utility pole assets in Palu. Tsunami inundation depths were estimated at component locations from a spatial interpolation of field measured flow depths and wave run-up. Component attributes and geometries exposed to tsunami inundation were compiled from both field surveys and remote sensing on satellite imagery and ‘street view’ imagery, which included component construction material, capacity (roads) and height (poles). Roads demonstrate a 0.16 probability of exceeding complete damage at 2 m inundation depth, while utility poles see a 0.47 probability. The probability of exceeding complete damage at 2 m inundation depth for concrete, asphalt, collector and local roads is 0.34, 0.17, 0.19 and 0.13 respectively, and for concrete, steel, steel 5 m height utility poles is 0.42, 0.48, 0.49 and 0.47 respectively. When comparing the synthesised tsunami fragility functions to those from other global events, Palu roads were more vulnerable at 2 m inundation depth (0.16) compared to roads exposed to the 2011 Tohoku tsunami in Japan (0.06) and 2015 Illapel tsunami in Chile (0.05). |
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Lifeline networks are key to the operation of society and are particularly crucial during post-disaster relief and recovery efforts. Understanding their vulnerability to tsunami hazards is important for disaster risk reduction, but is an understudied topic. This study uses field survey and remotely sensed data to develop a single dataset, used to create tsunami fragility functions for road and utility pole assets in Palu. Tsunami inundation depths were estimated at component locations from a spatial interpolation of field measured flow depths and wave run-up. Component attributes and geometries exposed to tsunami inundation were compiled from both field surveys and remote sensing on satellite imagery and ‘street view’ imagery, which included component construction material, capacity (roads) and height (poles). Roads demonstrate a 0.16 probability of exceeding complete damage at 2 m inundation depth, while utility poles see a 0.47 probability. The probability of exceeding complete damage at 2 m inundation depth for concrete, asphalt, collector and local roads is 0.34, 0.17, 0.19 and 0.13 respectively, and for concrete, steel, steel < 5 m height and steel > 5 m height utility poles is 0.42, 0.48, 0.49 and 0.47 respectively. When comparing the synthesised tsunami fragility functions to those from other global events, Palu roads were more vulnerable at 2 m inundation depth (0.16) compared to roads exposed to the 2011 Tohoku tsunami in Japan (0.06) and 2015 Illapel tsunami in Chile (0.05).</description><identifier>ISSN: 0033-4553</identifier><identifier>EISSN: 1420-9136</identifier><identifier>DOI: 10.1007/s00024-020-02545-6</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Asphalt ; Concrete ; Construction materials ; Damage ; Depth ; Disaster management ; Disaster relief ; Disaster risk ; Earth and Environmental Science ; Earth Sciences ; Emergency preparedness ; Flooding ; Fragility ; Geophysics/Geodesy ; Height ; Imagery ; Interpolation ; Polls & surveys ; Probability theory ; Remote sensing ; Risk management ; Risk reduction ; Road construction ; Roads ; Satellite imagery ; Spaceborne remote sensing ; Steel ; Sulawesi/Palu-2018 and Anak/Krakatau-2018 ; Surveying ; Surveys ; Tsunami hazard ; Tsunamis ; Utility poles ; Vulnerability ; Wave runup ; Weather hazards</subject><ispartof>Pure and applied geophysics, 2020-08, Vol.177 (8), p.3545-3562</ispartof><rights>Springer Nature Switzerland AG 2020</rights><rights>Springer Nature Switzerland AG 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a342t-8571283f2ebc3f167481f8a5e8103c217752e444dc72c6ccaa1bda53d912307a3</citedby><cites>FETCH-LOGICAL-a342t-8571283f2ebc3f167481f8a5e8103c217752e444dc72c6ccaa1bda53d912307a3</cites><orcidid>0000-0002-7564-0032</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00024-020-02545-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00024-020-02545-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Williams, James H.</creatorcontrib><creatorcontrib>Paulik, Ryan</creatorcontrib><creatorcontrib>Wilson, Thomas M.</creatorcontrib><creatorcontrib>Wotherspoon, Liam</creatorcontrib><creatorcontrib>Rusdin, Andi</creatorcontrib><creatorcontrib>Pratama, Gumbert Maylda</creatorcontrib><title>Tsunami Fragility Functions for Road and Utility Pole Assets Using Field Survey and Remotely Sensed Data from the 2018 Sulawesi Tsunami, Palu, Indonesia</title><title>Pure and applied geophysics</title><addtitle>Pure Appl. Geophys</addtitle><description>The 2018 Sulawesi tsunami caused widespread impacts in Palu City, Indonesia, including to components of infrastructure lifeline networks. Lifeline networks are key to the operation of society and are particularly crucial during post-disaster relief and recovery efforts. Understanding their vulnerability to tsunami hazards is important for disaster risk reduction, but is an understudied topic. This study uses field survey and remotely sensed data to develop a single dataset, used to create tsunami fragility functions for road and utility pole assets in Palu. Tsunami inundation depths were estimated at component locations from a spatial interpolation of field measured flow depths and wave run-up. Component attributes and geometries exposed to tsunami inundation were compiled from both field surveys and remote sensing on satellite imagery and ‘street view’ imagery, which included component construction material, capacity (roads) and height (poles). Roads demonstrate a 0.16 probability of exceeding complete damage at 2 m inundation depth, while utility poles see a 0.47 probability. The probability of exceeding complete damage at 2 m inundation depth for concrete, asphalt, collector and local roads is 0.34, 0.17, 0.19 and 0.13 respectively, and for concrete, steel, steel < 5 m height and steel > 5 m height utility poles is 0.42, 0.48, 0.49 and 0.47 respectively. When comparing the synthesised tsunami fragility functions to those from other global events, Palu roads were more vulnerable at 2 m inundation depth (0.16) compared to roads exposed to the 2011 Tohoku tsunami in Japan (0.06) and 2015 Illapel tsunami in Chile (0.05).</description><subject>Asphalt</subject><subject>Concrete</subject><subject>Construction materials</subject><subject>Damage</subject><subject>Depth</subject><subject>Disaster management</subject><subject>Disaster relief</subject><subject>Disaster risk</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Emergency preparedness</subject><subject>Flooding</subject><subject>Fragility</subject><subject>Geophysics/Geodesy</subject><subject>Height</subject><subject>Imagery</subject><subject>Interpolation</subject><subject>Polls & surveys</subject><subject>Probability theory</subject><subject>Remote sensing</subject><subject>Risk management</subject><subject>Risk reduction</subject><subject>Road construction</subject><subject>Roads</subject><subject>Satellite imagery</subject><subject>Spaceborne remote sensing</subject><subject>Steel</subject><subject>Sulawesi/Palu-2018 and Anak/Krakatau-2018</subject><subject>Surveying</subject><subject>Surveys</subject><subject>Tsunami hazard</subject><subject>Tsunamis</subject><subject>Utility poles</subject><subject>Vulnerability</subject><subject>Wave runup</subject><subject>Weather hazards</subject><issn>0033-4553</issn><issn>1420-9136</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kctOHDEQRS2USExIfiCrktjSofzoxywRZAISEgiYtVV0Vw-Nemyw3aD5k3xuDI2UHQvLcvncW6q6QvyU-Esi1scREZUpUGE-pSmLak8spMnPpdTVF7FA1LowZan3xbcYHxFlXZfLhfh7FydH2wFWgTbDOKQdrCbXpsG7CL0PcOOpA3IdrNP8fe1HhpMYOUVYx8FtYDXw2MHtFF54947e8NYnHndwyy5yB2eUCPrgt5AeGBTKJtMjvXIc4KP_EVzTOB3Bheu8y3X6Lr72NEb-8XEfiPXq993peXF59efi9OSyIG1UKpqylqrRveL7Vveyqk0j-4ZKbiTqVr1NqdgY07W1aqu2JZL3HZW6W0qlsSZ9IA5n36fgnyeOyT76Kbjc0iqjdV6bxDpTaqba4GMM3NunMGwp7KxE-5aAnROwOQH7noCtskjPophht-Hw3_oT1T_BhYjG</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Williams, James H.</creator><creator>Paulik, Ryan</creator><creator>Wilson, Thomas M.</creator><creator>Wotherspoon, Liam</creator><creator>Rusdin, Andi</creator><creator>Pratama, Gumbert Maylda</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-7564-0032</orcidid></search><sort><creationdate>20200801</creationdate><title>Tsunami Fragility Functions for Road and Utility Pole Assets Using Field Survey and Remotely Sensed Data from the 2018 Sulawesi Tsunami, Palu, Indonesia</title><author>Williams, James H. ; Paulik, Ryan ; Wilson, Thomas M. ; Wotherspoon, Liam ; Rusdin, Andi ; Pratama, Gumbert Maylda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a342t-8571283f2ebc3f167481f8a5e8103c217752e444dc72c6ccaa1bda53d912307a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Asphalt</topic><topic>Concrete</topic><topic>Construction materials</topic><topic>Damage</topic><topic>Depth</topic><topic>Disaster management</topic><topic>Disaster relief</topic><topic>Disaster risk</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Emergency preparedness</topic><topic>Flooding</topic><topic>Fragility</topic><topic>Geophysics/Geodesy</topic><topic>Height</topic><topic>Imagery</topic><topic>Interpolation</topic><topic>Polls & surveys</topic><topic>Probability theory</topic><topic>Remote sensing</topic><topic>Risk management</topic><topic>Risk reduction</topic><topic>Road construction</topic><topic>Roads</topic><topic>Satellite imagery</topic><topic>Spaceborne remote sensing</topic><topic>Steel</topic><topic>Sulawesi/Palu-2018 and Anak/Krakatau-2018</topic><topic>Surveying</topic><topic>Surveys</topic><topic>Tsunami hazard</topic><topic>Tsunamis</topic><topic>Utility poles</topic><topic>Vulnerability</topic><topic>Wave runup</topic><topic>Weather hazards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Williams, James H.</creatorcontrib><creatorcontrib>Paulik, Ryan</creatorcontrib><creatorcontrib>Wilson, Thomas M.</creatorcontrib><creatorcontrib>Wotherspoon, Liam</creatorcontrib><creatorcontrib>Rusdin, Andi</creatorcontrib><creatorcontrib>Pratama, Gumbert Maylda</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Science Journals</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Pure and applied geophysics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Williams, James H.</au><au>Paulik, Ryan</au><au>Wilson, Thomas M.</au><au>Wotherspoon, Liam</au><au>Rusdin, Andi</au><au>Pratama, Gumbert Maylda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tsunami Fragility Functions for Road and Utility Pole Assets Using Field Survey and Remotely Sensed Data from the 2018 Sulawesi Tsunami, Palu, Indonesia</atitle><jtitle>Pure and applied geophysics</jtitle><stitle>Pure Appl. Geophys</stitle><date>2020-08-01</date><risdate>2020</risdate><volume>177</volume><issue>8</issue><spage>3545</spage><epage>3562</epage><pages>3545-3562</pages><issn>0033-4553</issn><eissn>1420-9136</eissn><abstract>The 2018 Sulawesi tsunami caused widespread impacts in Palu City, Indonesia, including to components of infrastructure lifeline networks. Lifeline networks are key to the operation of society and are particularly crucial during post-disaster relief and recovery efforts. Understanding their vulnerability to tsunami hazards is important for disaster risk reduction, but is an understudied topic. This study uses field survey and remotely sensed data to develop a single dataset, used to create tsunami fragility functions for road and utility pole assets in Palu. Tsunami inundation depths were estimated at component locations from a spatial interpolation of field measured flow depths and wave run-up. Component attributes and geometries exposed to tsunami inundation were compiled from both field surveys and remote sensing on satellite imagery and ‘street view’ imagery, which included component construction material, capacity (roads) and height (poles). Roads demonstrate a 0.16 probability of exceeding complete damage at 2 m inundation depth, while utility poles see a 0.47 probability. The probability of exceeding complete damage at 2 m inundation depth for concrete, asphalt, collector and local roads is 0.34, 0.17, 0.19 and 0.13 respectively, and for concrete, steel, steel < 5 m height and steel > 5 m height utility poles is 0.42, 0.48, 0.49 and 0.47 respectively. When comparing the synthesised tsunami fragility functions to those from other global events, Palu roads were more vulnerable at 2 m inundation depth (0.16) compared to roads exposed to the 2011 Tohoku tsunami in Japan (0.06) and 2015 Illapel tsunami in Chile (0.05).</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s00024-020-02545-6</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-7564-0032</orcidid></addata></record> |
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subjects | Asphalt Concrete Construction materials Damage Depth Disaster management Disaster relief Disaster risk Earth and Environmental Science Earth Sciences Emergency preparedness Flooding Fragility Geophysics/Geodesy Height Imagery Interpolation Polls & surveys Probability theory Remote sensing Risk management Risk reduction Road construction Roads Satellite imagery Spaceborne remote sensing Steel Sulawesi/Palu-2018 and Anak/Krakatau-2018 Surveying Surveys Tsunami hazard Tsunamis Utility poles Vulnerability Wave runup Weather hazards |
title | Tsunami Fragility Functions for Road and Utility Pole Assets Using Field Survey and Remotely Sensed Data from the 2018 Sulawesi Tsunami, Palu, Indonesia |
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