Relationship between ground motion parameters and building damage for 2016 Mw 6.4 Meinong, Taiwan earthquake

Abstract This study examines the relationship between operational ground-motion parameters and building damage during the 2016 M w 6.4 Meinong earthquake in southern Taiwan. We integrate strong-motion recordings from 599 Taiwan Strong Motion Instrumentation Program (TSMIP) stations with a manually verified, georeferenced dataset of 626 damaged buildings, including 271 red-tagged and 355 yellow-tagged buildings in Tainan City. The analysis was conducted at the administrative-district level by comparing district-level damage rates with interval-based peak ground acceleration (PGA) and peak ground velocity (PGV) estimates. Non-zero district-level damage rates first appeared in the PGA interval of approximately 150–175 gal and the PGV interval of approximately 10–20 cm/s, corresponding to approximately MMI VI–VII. In this interval-averaged district-level analysis, PGA showed a clearer descriptive correspondence with red- and yellow-tagged building damage rates than PGV. Building-story information indicates that approximately 70% of the damaged buildings were low-rise structures, suggesting that the observed PGA correspondence may be related to the predominance of low-rise buildings and short-period shaking in the most heavily damaged areas. The results do not imply that PGA is universally superior to PGV; rather, PGA and PGV should be interpreted as complementary parameters whose relative usefulness depends on building inventory, site conditions, and analytical scale. This work provides a manually verified building damage dataset and an event-specific reference for interpreting rapid shaking maps and seismic impact information under Taiwan’s updated red- and yellow-tagged building classification system.

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Publication Details

Journal
Terrestrial Atmospheric and Oceanic Sciences
Published
2026-07-17
DOI
https://doi.org/10.1007/s44195-026-00139-8
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Relationship between ground motion parameters and building damage for 2016 Mw 6.4 Meinong, Taiwan earthquake

Yih‐Min Wu, Song Guan-yi
Terrestrial Atmospheric and Oceanic Sciences
Seismic Performance and Analysis
article

Relationship between ground motion parameters and building damage for 2016 Mw 6.4 Meinong, Taiwan earthquake

Yih‐Min Wu, Song Guan-yi
article en

Abstract

Abstract This study examines the relationship between operational ground-motion parameters and building damage during the 2016 M w 6.4 Meinong earthquake in southern Taiwan. We integrate strong-motion recordings from 599 Taiwan Strong Motion Instrumentation Program (TSMIP) stations with a manually verified, georeferenced dataset of 626 damaged buildings, including 271 red-tagged and 355 yellow-tagged buildings in Tainan City. The analysis was conducted at the administrative-district level by comparing district-level damage rates with interval-based peak ground acceleration (PGA) and peak ground velocity (PGV) estimates. Non-zero district-level damage rates first appeared in the PGA interval of approximately 150–175 gal and the PGV interval of approximately 10–20 cm/s, corresponding to approximately MMI VI–VII. In this interval-averaged district-level analysis, PGA showed a clearer descriptive correspondence with red- and yellow-tagged building damage rates than PGV. Building-story information indicates that approximately 70% of the damaged buildings were low-rise structures, suggesting that the observed PGA correspondence may be related to the predominance of low-rise buildings and short-period shaking in the most heavily damaged areas. The results do not imply that PGA is universally superior to PGV; rather, PGA and PGV should be interpreted as complementary parameters whose relative usefulness depends on building inventory, site conditions, and analytical scale. This work provides a manually verified building damage dataset and an event-specific reference for interpreting rapid shaking maps and seismic impact information under Taiwan’s updated red- and yellow-tagged building classification system.

Terrestrial Atmospheric and Oceanic Sciences
National Taiwan University (TW)
National Science and Technology Council
Sustainable cities and communities
Openalex Percentile: Top 13%
Seismic Performance and Analysis
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