An optimisation approach for fuel treatment planning to break the connectivity of high-risk regions

Rachmawati, R, Ozlen, M, Reinke, K and Hearne, J 2016, 'An optimisation approach for fuel treatment planning to break the connectivity of high-risk regions', Forest Ecology and Management, vol. 368, pp. 94-104.


Document type: Journal Article
Collection: Journal Articles

Attached Files
Name Description MIMEType Size
n2006061565.pdf Accepted Manuscript application/pdf 1.26MB
Title An optimisation approach for fuel treatment planning to break the connectivity of high-risk regions
Author(s) Rachmawati, R
Ozlen, M
Reinke, K
Hearne, J
Year 2016
Journal name Forest Ecology and Management
Volume number 368
Start page 94
End page 104
Total pages 11
Publisher Elsevier
Abstract Uncontrolled wildfires can lead to loss of life and property and destruction of natural resources. At the same time, fire plays a vital role in restoring ecological balance in many ecosystems. Fuel management, or treatment planning by way of planned burning, is an important tool used in many countries where fire is a major ecosystem process. In this paper, we propose an approach to reduce the spatial connectivity of fuel hazards while still considering the ecological fire requirements of the ecosystem. A mixed integer programming (MIP) model is formulated in such a way that it breaks the connectivity of high-risk regions as a means to reduce fuel hazards in the landscape. This multi-period model tracks the age of each vegetation type and determines the optimal time and locations to conduct fuel treatments. The minimum and maximum Tolerable Fire Intervals (TFI), which define the ages at which certain vegetation type can be treated for ecological reasons, are taken into account by the model. Examples from previous work that explicitly disconnect contiguous areas of high fuel load have often been limited to using single vegetation types implemented within rectangular grids. We significantly extend such work by including modelling multiple vegetation types implemented within a polygon-based network to achieve a more realistic representation of the landscape. An analysis of the proposed approach was conducted for a fuel treatment area comprising 711 treatment units in the Barwon-Otway district of Victoria, Australia. The solution of the proposed model can be obtained for 20-year fuel treatment planning within a reasonable computation time of eight hours.
Subject Applied Mathematics not elsewhere classified
Keyword(s) Fuel management
Fuel treatment
MIP
Optimisation
Wildfires
DOI - identifier 10.1016/j.foreco.2016.03.014
Copyright notice © 2016 Elsevier B.V.
ISSN 0378-1127
Additional Notes Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 158 Abstract Views, 17 File Downloads  -  Detailed Statistics
Created: Thu, 12 May 2016, 10:09:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us