Lessons of mitigation from a low frequency debris flow event

DOI

10.2991/rac-16.2016.33How to use a DOI?

Keywords

Low frequency debris flow, causes and mechanism, risk identifying, mitigation

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention
PB  - Atlantis Press
SP  - 206
EP  - 210
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.33
DO  - 10.2991/rac-16.2016.33
ID  - Tie2016/11
ER  -