Abstract
The first part of this work reviews several mathematical programming models dedicated to resource allocation and planning problems in the context of extinguishing large forest fires. These problems have been studied as part of the research projects Lumes and Enjambre, which involve both the public and private sectors in Spain. The objective of Lumes and Enjambre is to develop advanced technologies for fighting forest fires. Moreover, the projects address other tasks such as the design of algorithms to prevent aircraft collisions and estimating the perimeters of forest fires using techniques such as estimating sets from thermal images. The second part of this work is focused on the R package and corresponding graphic interface, Wildfire Resources Management (wrm), which are designed to offer a user-friendly model interface in terms of the introduction of the necessary data, resolution, and presentation of the results, according to the needs of the interlocutors in the company dedicated to the extinction of forest fires. The auxiliary package uses various solvers, such as symphony and gurobi. This work presents the various components of wrm (which can be viewed in the GitHub repository), a computational study, and a procedure for its use.
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Notes
- 1.
Conatos are fires affecting an area of less than 1 ha.
- 2.
Large wildfires are fires in which more than 500 ha of surface burn.
- 3.
- 4.
A flight route is a circular path that follows a set of air resources and is associated with a certain point of water loading and a fire front on which water is discharged.
- 5.
In this paper, the term water is used for simplicity, but in general reference will be made to any kind of retardant used in extinguishing a forest fire.
References
Chang, W., Borges-Ribeiro, B.: Shinydashboard. Create Dashboards with Shiny. R Package Version 0.7.0. http://rstudio.github.io/shinydashboard/ (2018). Accessed 19 September 2018
Donovan, G.H., Rideout, D.B.: An integer programming model to optimize resource allocation for wildfire containment. For. Sci. 49, 331–335 (2003)
Gorte, J.K., Gorte, R.W.: Application of economic techniques to fire management-a status review and evaluation. Gen. Tech. Rep. INT-GTR-53. Ogden, UT, US Department of Agriculture, Forest Service. Intermountain Research Station 53, 26 p. (1979)
Gobierno de España. Ministerio de Agricultura, Pesca y Alimentación: Los Incendios Forestales en España: 1 enero–31 diciembre 2018. Avance Informativo. https://www.mapa.gob.es/es/desarrollo-rural/estadisticas/iiff_2018_tcm30-507741.pdf (2019). Accessed 11 November 2019
Headley, R.: Fire Suppression, District 5. USDA-Forest Service, pp. 1–57 (1916)
Kim, Y.-H., Bettinger, P., Finney, M.: Spatial optimization of the pattern of fuel management activities and subsequent effects on simulated wildfires. Eur. J. Oper. Res. 197, 253–265 (2009)
Martell, D.L.: A review of recent forest and wildland-fire management decision support systems research. Curr. For. Rep. 1, 128–137 (2015)
Miller, C., Ager, A.A.: A review of recent advances in risk analysis for wildfire management. Int. J. Wildland Fire 22, 1–14 (2013)
National Wildfire Coordinating Group Fireline Handbook: NWCG Handb. 3. PMS 410-1. NFES 0065 (1998)
Rodríguez-Veiga, J., Ginzo-Villamayor, M.J., Casas-Méndez, B.V.: An integer linear programming model to select and temporally allocate resources for fighting forest fires. Forests 9, 1–18 (2018)
Rodríguez-Veiga, J., Ginzo-Villamayor, M.J., Casas-Méndez, B.V.: Wildfire resources management (wrm). GitHub Repository. https://github.com/jorgerodriguezveiga/wrm (2018). Accessed 12 December 2019
Rodríguez-Veiga, J., Gómez-Costa, I., Ginzo-Villamayor, M.J., Casas-Méndez, B.V., Saiz-Díaz, J.L.: Assignment problems in wildfire suppression: Models for optimization of aerial resource logistics. For. Sci. 64, 504–514 (2018)
Spanish Ministry of Development: Operational Circular 16-B. http://www.aecaweb.com/informes/documentos/INFORMES_Y_ESTUDIOS/circular_operativa_16_b.doc (1995). Accessed 18 June 2018
Sparhawk, W.N.: The Use of Liability Ratings in Planning Forest Fire Protection. National Emergency Training Center, United States of America (1925)
Vázquez-Vázquez, M.C., Chas-Amil, M.L., Touza, J.M.: Estimación de los costes de las operaciones de extinción de incendios forestales: Estudio de caso en el Distrito Forestal de A Limia. Revista Galega de Economía 23(1), 99–113 (2014)
Acknowledgements
The authors are grateful for the interesting comments made by Alfonso Lorenzo and José Luis Sáiz Díaz, from the Spain Babcock International, as well as Manuel Febrero Bande, Wenceslao González Manteiga, and Beatriz Pateiro López from the University of Santiago de Compostela. This work has been supported by ITMATI, the ERDF (MINECO/AEI grants MTM2016-76969-P and MTM2017- 87197-C3-3-P), and Xunta de Galicia (Competitive Reference Group ED431C 2017/38).
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Rodríguez Veiga, J., Ginzo Villamayor, M.J., Casas Méndez, B.V. (2021). Wildfire Resources Management: A Decision Support Tool Created with R to Solve Optimisation Models in Logistics for Fighting Forest Fires. In: Cruz, M., Parés, C., Quintela, P. (eds) Progress in Industrial Mathematics: Success Stories. SEMA SIMAI Springer Series(), vol 5. Springer, Cham. https://doi.org/10.1007/978-3-030-61844-5_13
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