Study and Application of Seismic Risk and Exposure Model Based on AI Technologies
Changlong Li, Zongchao Li, Hongshan Lyu, Mengtan Gao
Available Online 12 April 2021.
- https://doi.org/10.2991/aebmr.k.210409.003How to use a DOI?
- Pattern Recognition, Seismic risk, Exposure
- This paper investigated the numbers, taxonomy and vulnerability of the buildings in Southeastern Tibet and built pattern classes for difference types of buildings. Then we assessed the distribution of each type of buildings in every town based on 3D image pattern recognition, and made an event-based and a 50-year hazard-based seismic risk assessment for the towns in Southeastern Tibet. Our study indicated that areas with the highest seismic risk are urban areas of Lhasa and Nyingchi and Cuona Town, and urban Lhasa has the highest seismic risk of building structural economic losses.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Changlong Li AU - Zongchao Li AU - Hongshan Lyu AU - Mengtan Gao PY - 2021 DA - 2021/04/12 TI - Study and Application of Seismic Risk and Exposure Model Based on AI Technologies BT - Proceedings of the 9th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2020) PB - Atlantis Press SP - 21 EP - 26 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.210409.003 DO - https://doi.org/10.2991/aebmr.k.210409.003 ID - Li2021 ER -