Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention

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

Authors
Chenxue Gao, Ming Wang
Corresponding Author
Chenxue Gao
Available Online November 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
Publication Date
November 2016
ISBN
978-94-6252-242-8
DOI
https://doi.org/10.2991/rac-16.2016.152How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/rac-16.2016.152
DO  - https://doi.org/10.2991/rac-16.2016.152
ID  - Gao2016/11
ER  -