Abstract

The 2017 Pohang earthquake (moment magnitude scale: 5.4) was South Korea’s second strongest earthquake in decades, and caused the maximum amount of damage in terms of infrastructure and human injuries. As the epicenters were located in regions with Quaternary sediments, which involve distributions of thick fill and alluvial geo-layers, the induced damages were more severe owing to seismic amplification and liquefaction. Thus, to identify the influence of site-specific seismic effects, a post-earthquake survey framework for rapid earthquake damage estimation, correlated with seismic site effects, was proposed and applied in the region of the Pohang earthquake epicenter. Seismic zones were determined on the basis of ground motion by classifying sites using the multivariate site classification system. Low-rise structures with slight and moderate earthquake damage were noted to be concentrated in softer sites owing to the low focal depth of the site, topographical effects, and high frequency range of the mainshocks.

Highlights

  • The 2017 Pohang earthquake occurred on 15 November 2017, in Heunghae, Pohang in the North Gyeongsang Province in South Korea [1]

  • Owing to the higher levels of seismic amplification due to site-specific site effects during the 2017 Pohang earthquakes, it was expected that a higher intensity would correspond to lower amplification if the site experienced more non-linear behavior

  • It can be concluded that low-rise structures with slight or moderate earthquake damage were concentrated on softer sites owing to their low focal depth (4 km), topographical effects, and high frequency range of mainshocks

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Summary

Introduction

The 2017 Pohang earthquake occurred on 15 November 2017, in Heunghae, Pohang in the North Gyeongsang Province in South Korea [1]. Local site effects related to geological and geotechnical conditions have been observed in many 22 ooff 1155. Local site effects related to geological and geotechnical conditions have been observed in many eeaarrtthhqquuaakkee eevveennttss,, iinncclluuddiinngg tthhee 11998855 MMeexxiiccoo CCiittyy,, 11998899 LLoommaa PPrriieettaa,, 11999944 NNoorrtthhrriiddggee,, 11999955 KKoobbee,, 22000088 WWeennCChhuuanan, 2, 021001H0 aHitia, i2ti0,1120T1o1hoTkouh, oaknud,20a1n6dK2u0m16amKoutomeaamrtohtqouaekaerst.hAqufaakirelsy. IInn tthhiiss ssttuuddyy,, mmeetthhooddiiccaall ssoolluuttiioonnss ffoorr ppoosstt--eeaarrtthhqquuaakkee aasssseessssmmeennttss wweerree pprrooppoosseedd aanndd aapppplliieedd ttoo tthhee eeppiicceenntteerr aarreeaa ooff tthhee PPoohhaanngg eeaarrtthhqquuaakkee iinn oorrddeerr ttoo uunnddeerrssttaanndd tthhee eeaarrtthhqquuaakkee hhaazzaarrddss iinndduucceedd bbyy tthhee sseeiissmmiicc ssiittee eeffffeeccttss. TToo uunnddeerrssttaanndd tthhee ssiittee--ssppeecciiffiicc eeaarrtthhqquuaakkee iimmppaacctt ccoorrrreellaatteedd wwiitthh sseeiissmmiicc ssiittee effects, the framework for the post-earthquake damage survey was established on the basis of the ISPRS Int. J. We chose the target study area as the entire territory, focusing on the epicenters and damaged buildings of the 2017 Pohang earthquake. FiFgiugruere5.5.GGeeoosspatial ggrriidd iinnffoorrmmaatitoionnofofrerperpersesnetnattiavteivgeeog-elaoy-learys:er(as:) f(iall) lfiayllerla; y(be)r;a(llbu)vaiallusvoial;l(sco) il; (c)wweaetahtehreerdedsosiol;il(;d()dw) weaethatehredrerdocrokc. k

Site Classification Framework Based on Multivariate Site Response Parameters
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Conclusions
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