Abstract
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.
Highlights
Published: 26 December 2021A magnitude Mw 7.0 earthquake struck offshores of Samos Island (Greece) in the eastern Aegean Sea on 30 October 2020
The research question that motivates this study is, “Can we classify buildings after an earthquake by prioritizing them based on their expected damage levels using the response spectra and remote sensing data?”, in order to speed up the damage assessment process of critical buildings that can cause casualties in a possible strong aftershock
The study aims to speed up the damage assessment process of critical buildings that can cause casualties possible strong aftershock; from process this perspective, The study aims in to aspeed up the damage assessment of criticalconventionally, buildings that the number of buildings that must have been investigated after the earthquake by in can cause casualties in a possible strong aftershock; from this perspective, conventionally, situ damage assessment experts were
Summary
A magnitude Mw 7.0 earthquake struck offshores of Samos Island (Greece) in the eastern Aegean Sea on 30 October 2020. Two people lost their lives, and many buildings were damaged or collapsed due to the earthquake in Karlovasi–Samos Island, Greece. Twelve buildings suffered an immediate collapse, and many buildings experienced heavy damage. The majority of the damages were located in the Bayrakli region because of amplified ground motion, despite the long distance from the source [1] The presence of soft stories, lack of proper detailing, poor construction quality, the presence of heavy overhangs, and lack of code compliance were attributed as the primary causes of damage
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