Forest Fire Risk Assessment Based on Ecological and Economic Value - Take Yunnan Province as an Example

DOI

10.2991/rac-16.2016.152How to use a DOI?

Keywords

Forest fire; Risk assessment; Wildfire susceptibility; Ecological and economic value

Abstract

Taking ecological and economic value of forest into consideration during forest fire risk assessment could provide a scientific reference for integrated risk governance. Machine learning was combined with event simulation to implement fire risk assessment based on ecological and economic value of Yunnan forest. From this study, we draw the following conclusions: (1) The forest fire susceptibility can effectively improve the simulated events allocation process. (2) Spatial variation of forest fire risk is caused by wildfire susceptibility, unit area and gross value of forest. This may further contribute to differentiated risk response planning. (3) Results of this paper could provide references for Yunnan forest fire insurance practice.

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  - Chenxue Gao
AU  - Ming Wang
PY  - 2016/11
DA  - 2016/11
TI  - Forest Fire Risk Assessment Based on Ecological and Economic Value - Take Yunnan Province as an Example
BT  - Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention
PB  - Atlantis Press
SP  - 940
EP  - 946
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.152
DO  - 10.2991/rac-16.2016.152
ID  - Gao2016/11
ER  -