Response Spectra-Based Post-Earthquake Rapid Structural Damage Estimation Approach Aided with Remote Sensing Data: 2020 Samos Earthquake
Effective post-event emergency management contributes substantially to communities’ earthquake resilience, and one of the most crucial actions following an earthquake is building damage assessment. On-site inspections are dangerous, expensive, and time-consuming. Remote sensing techniques have shown...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/12/1/14 |
| _version_ | 1827666258130108416 |
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| author | Onur Kaplan Gordana Kaplan |
| author_facet | Onur Kaplan Gordana Kaplan |
| author_sort | Onur Kaplan |
| collection | DOAJ |
| description | Effective post-event emergency management contributes substantially to communities’ earthquake resilience, and one of the most crucial actions following an earthquake is building damage assessment. On-site inspections are dangerous, expensive, and time-consuming. Remote sensing techniques have shown great potential in localizing the most damaged regions and thus guiding aid and rescue operations in recent earthquakes. Furthermore, to prevent post-earthquake casualties, heavily damaged, unsafe buildings must be identified immediately since in most earthquakes, strong aftershocks can cause such buildings to collapse. The potential of the response spectrum concept for being associated with satellite-based remote sensing data for post-earthquake structural damage estimation was investigated in this study. In this respect, a response spectra-based post-earthquake structural damage estimation method aided by satellite-based remote sensing data was proposed to classify the buildings after an earthquake by prioritizing them based on their expected damage levels, in order to speed up the damage assessment process of critical buildings that can cause casualties in a possible strong aftershock. A case study application was implemented in the Bayrakli region in Izmir, Turkey, the most affected area by the Samos earthquake, on 30 October 2020. The damage estimations made in this research were compared with the in situ damage assessment reports prepared by the Republic of Turkey Ministry of Environment and Urbanization experts. According to the accuracy assessment results, the sensitivity of the method is high (91%), and the necessary time spent by the in situ damage assessment teams to detect the critical buildings would have been significantly reduced for the study area. |
| first_indexed | 2024-03-10T01:48:17Z |
| format | Article |
| id | doaj.art-875e6a406b3246a6a68f2878ee4d3626 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-10T01:48:17Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-875e6a406b3246a6a68f2878ee4d36262023-11-23T13:10:47ZengMDPI AGBuildings2075-53092021-12-011211410.3390/buildings12010014Response Spectra-Based Post-Earthquake Rapid Structural Damage Estimation Approach Aided with Remote Sensing Data: 2020 Samos EarthquakeOnur Kaplan0Gordana Kaplan1Institute of Earth and Space Sciences, Eskisehir Technical University, 26555 Eskisehir, TurkeyInstitute of Earth and Space Sciences, Eskisehir Technical University, 26555 Eskisehir, TurkeyEffective post-event emergency management contributes substantially to communities’ earthquake resilience, and one of the most crucial actions following an earthquake is building damage assessment. On-site inspections are dangerous, expensive, and time-consuming. Remote sensing techniques have shown great potential in localizing the most damaged regions and thus guiding aid and rescue operations in recent earthquakes. Furthermore, to prevent post-earthquake casualties, heavily damaged, unsafe buildings must be identified immediately since in most earthquakes, strong aftershocks can cause such buildings to collapse. The potential of the response spectrum concept for being associated with satellite-based remote sensing data for post-earthquake structural damage estimation was investigated in this study. In this respect, a response spectra-based post-earthquake structural damage estimation method aided by satellite-based remote sensing data was proposed to classify the buildings after an earthquake by prioritizing them based on their expected damage levels, in order to speed up the damage assessment process of critical buildings that can cause casualties in a possible strong aftershock. A case study application was implemented in the Bayrakli region in Izmir, Turkey, the most affected area by the Samos earthquake, on 30 October 2020. The damage estimations made in this research were compared with the in situ damage assessment reports prepared by the Republic of Turkey Ministry of Environment and Urbanization experts. According to the accuracy assessment results, the sensitivity of the method is high (91%), and the necessary time spent by the in situ damage assessment teams to detect the critical buildings would have been significantly reduced for the study area.https://www.mdpi.com/2075-5309/12/1/14response spectrumrapid damage assessmentremote sensingdeep learning |
| spellingShingle | Onur Kaplan Gordana Kaplan Response Spectra-Based Post-Earthquake Rapid Structural Damage Estimation Approach Aided with Remote Sensing Data: 2020 Samos Earthquake Buildings response spectrum rapid damage assessment remote sensing deep learning |
| title | Response Spectra-Based Post-Earthquake Rapid Structural Damage Estimation Approach Aided with Remote Sensing Data: 2020 Samos Earthquake |
| title_full | Response Spectra-Based Post-Earthquake Rapid Structural Damage Estimation Approach Aided with Remote Sensing Data: 2020 Samos Earthquake |
| title_fullStr | Response Spectra-Based Post-Earthquake Rapid Structural Damage Estimation Approach Aided with Remote Sensing Data: 2020 Samos Earthquake |
| title_full_unstemmed | Response Spectra-Based Post-Earthquake Rapid Structural Damage Estimation Approach Aided with Remote Sensing Data: 2020 Samos Earthquake |
| title_short | Response Spectra-Based Post-Earthquake Rapid Structural Damage Estimation Approach Aided with Remote Sensing Data: 2020 Samos Earthquake |
| title_sort | response spectra based post earthquake rapid structural damage estimation approach aided with remote sensing data 2020 samos earthquake |
| topic | response spectrum rapid damage assessment remote sensing deep learning |
| url | https://www.mdpi.com/2075-5309/12/1/14 |
| work_keys_str_mv | AT onurkaplan responsespectrabasedpostearthquakerapidstructuraldamageestimationapproachaidedwithremotesensingdata2020samosearthquake AT gordanakaplan responsespectrabasedpostearthquakerapidstructuraldamageestimationapproachaidedwithremotesensingdata2020samosearthquake |