Lessons of mitigation from a low frequency debris flow event
Yongbo Tie, Jintao Jiang
Available Online November 2016.
- https://doi.org/10.2991/rac-16.2016.33How to use a DOI?
- Low frequency debris flow, causes and mechanism, risk identifying, mitigation
- The risks in terms of statistical significance refer to ones that could be analyzed by using random samples. The typhoon risk in statistics is the average loss caused by typhoons. The risk per year calculated with a stochastic process has more clear physical meaning. Monte Carlo method can not improve the risk assessment. The information diffusion technique can improve estimation of risk under small-sample condition. Providing a platform to people living in typhoon-prone area to participate in risk assessment and timely update risk information, the Internet of intelligences could help us to improve estimation of typhoon risk.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yongbo Tie AU - Jintao Jiang PY - 2016/11 DA - 2016/11 TI - Lessons of mitigation from a low frequency debris flow event BT - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016) PB - Atlantis Press SP - 206 EP - 210 SN - 1951-6851 UR - https://doi.org/10.2991/rac-16.2016.33 DO - https://doi.org/10.2991/rac-16.2016.33 ID - Tie2016/11 ER -