Simulation analysis of the impact of ignitions, rekindles, and false alarms on forest fire suppression

Canadian Journal of Forest Research

Volumn 44, Issue 1, 2014, Pages 45-55

  Pacheco, Abílio P ^a   Claro, João ^a   Oliveira, Tiago ^b  

^a UNIVERSITY OF PORTO   (Portugal)

^b Forest Protection   (Portugal)

Author keywords

Discrete event simulation; False alarms; Forest fire suppression; Rekindles

Indexed keywords

CRITICAL PERIODS; DISCRETE-EVENT SIMULATION MODEL; FALSE ALARMS; FOREST FIRE MANAGEMENT; FOREST FIRE SUPPRESSION; REFERENCE VALUES; REKINDLES; SIMULATION ANALYSIS;

ALARM SYSTEMS; DISCRETE EVENT SIMULATION; ERRORS; FIRES;

DEFORESTATION;

BENCHMARKING; DECISION MAKING; DISCRETE CHOICE ANALYSIS; FOREST FIRE; FOREST MANAGEMENT; PERFORMANCE ASSESSMENT; TEMPORAL PERIOD; TRADE-OFF;

ALARMS; DEFORESTATION; FOREST FIRES; IGNITION;

PORTO [PORTUGAL]; PORTUGAL;

EID: 84892376624     PISSN: 00455067     EISSN: 12086037     Source Type: Journal    
DOI: 10.1139/cjfr-2013-0257     Document Type: Article

References (63)

1. Ahrens, M. 2003. The US fire problem overview report: leading causes and other patterns and trends. Fire Analysis and Research Division, National Fire Protection Association, Quincy, Massachusetts.
2. Ahrens, M. 2010. Brush, grass, and forest fires. Fire Analysis and Research Division, National Fire Protection Association, Quincy, Massachusetts. NFPA No. USS89.
3. Autoridade Florestal Nacional (AFN). 2011a. Dados sobre incêndios florestais. Available from http://www.afn.min-agricultura.pt/portal/dudf/estatisticas (archived by WebCite®at http://www.webcitation.org/5zezCq8MC) [accessed 20 April 2011].
4. Autoridade Florestal Nacional (AFN). 2011b. Relatório Anual de Áreas Ardidas e Ocorrências em 2010. Available from http://www.afn.min-agricultura.pt/ portal/dudf/relatorios/resource/ficheiros/2010/relatorio-final-2010 (archived by WebCite® at http://www.webcitation.org/5xrU23Pfn) [accessed 11 April 2011].
5. Bettinger, P. 2010. An overview of methods for incorporating wildfires into forest planning models. Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 2(1): 43-52.
6. Bookbinder, J.H., and Martell, D.L. 1979. Time-dependent queuing approach to helicopter allocation for forest fire initial-attack. Ministry of Natural Resources, Aviation and Fire Management Centre, Issue 35. pp. 58-72.
7. Brillinger, D.R., Autrey, B.S., and Cattaneo, M.D. 2009. Probabilistic risk modeling at the wildland-urban interface: the 2003 Cedar Fire. Environmetrics, 20(6): 607-620. doi:10.1002/env.959.
8. Butry, D.T. 2007. Estimating the efficacy of wildfire management using propensity scores. In Economics. North Carolina State University, Raleigh, North Carolina.
9. Calkin, D.E., Thompson, M.P., Finney, M.A., and Hyde, K.D. 2011. A real-time risk assessment tool supporting wildland fire decisionmaking. J. For. 109(5): 274-280.
10. Catry, F.X., Rego, F.C., Bação, F.L., and Moreira, F. 2009. Modeling and mapping wildfire ignition risk in Portugal. Int. J. Wildland Fire, 18(8): 921-931. doi:10. 1071/WF07123.
11. Collins, R.D. 2012. Forest fire management in Portugal: developing system insights through models of social and physical dynamics. Engineering Systems Division, Technology and Policy Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, U.S.A.
12. Corcoran, J., Higgs, G., Brunsdon, C., Ware, A., and Norman, P. 2007. The use of spatial analytical techniques to explore patterns of fire incidence: a South Wales case study. Comput. Environ. Urban Syst. 31(6): 623-647. doi:10.1016/j. compenvurbsys.2007.01.002.
13. Corcoran, J., Higgs, G., and Higginson, A. 2011. Fire incidence in metropolitan areas: a comparative study of Brisbane (Australia) and Cardiff (United Kingdom). Appl. Geogr. 31(1): 65-75. doi:10.1016/j.apgeog.2010.02.003.
14. Cumming, S.G. 2005. Effective fire suppression in boreal forests. Can. J. For. Res. 35(4): 772-786. doi:10.1139/x04-174.
15. Fagerland, M.W., and Sandvik, L. 2009. The Wilcoxon-Mann-Whitney test under scrutiny. Stat. Med. 28(10): 1487-1497. doi:10.1002/sim.3561.
16. Finney, M.A. 2004. FARSITE: fire area simulator-model development and evaluation. USDA Forest Service, Rocky Mountain Research Station, Ogden, Utah, Res. Pap. RMRS-RP-4.
17. Finney, M.A. 2005. The challenge of quantitative risk analysis for wildland fire. For. Ecol. Manage. 211(1-2): 97-108. doi:10.1016/j.foreco.2005.02.010.
18. Finney, M., Grenfell, I., McHugh, C., Seli, R., Trethewey, D., Stratton, R., and Brittain, S. 2011a. A method for ensemble wildland fire simulation. Environ. Model. Assess. 16(2): 153-167. doi:10.1007/s10666-010-9241-3.
19. Finney, M., McHugh, C., Grenfell, I., Riley, K., and Short, K. 2011b. A simulation of probabilistic wildfire risk components for the continental United States. Stoch. Environ. Res. Risk Assess. 25(7): 973-1000. doi:10.1007/s00477-011-0462-z.
20. Flannigan, M., Cantin, A.S., de Groot, W.J., Wotton, M., Newbery, A., and Gowman, L.M. 2013. Global wildland fire season severity in the 21st century. For. Ecol. Manage. 294(0): 54-61. doi:10.1016/j.foreco.2012.10.022.
21. Flynn, J.D. 2009. Fire service performance measures. Fire Analysis and Research Division, National Fire Protection Association, Quincy, Massachusetts.
22. González-Cabán, A., Shinkle, P.B., and Mills, T.J. 1986. Developing fire management mixes for fire program planning. USDA Forest Service, Pacific Southwest Forest and Range Experiment Station, Berkeley, California, GTR-PSW-088.
23. Instituto Superior de Agronomia (ISA). 2005. Plano Nacional de Defesa da Floresta contra Incêndios: Um Presente para o Futuro. Available from http://www.isa.utl.pt/pndfci/ (archived by WebCite® at http://www.web citation.org/5zjuImZzu) [accessed 3 July 2011].
24. Islam, K.S. 1998. Spatial dynamic queueing models for the daily deployment of airtankers for forest fire control. Ph.D. thesis, Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada. National Library of Canada, Ottawa.
25. Islam, K.S., Martell, D.L., and Posner, M.J. 2009. A time-dependent spatial queueing model for the daily deployment of airtankers for forest fire control. INFOR, 47(4): 319-333. doi:10.3138/infor.47.4.319.
26. Karter, M.J. 2011. False alarm activity in the U.S. 2010. Fire Analysis and Research Division, National Fire Protection Association, Quincy, Massachusetts.
27. Killalea, D. 1998. Strategies to reduce false alarms to the Tasmania Fire Service. National Fire Academy, Emmitsburg, Maryland. Available from http:// www.usfa.fema.gov/pdf/efop/efo28448.pdf.
28. Martell, D.L. 2001. Forest fire management. In Forest Fires. Edited by A. Johnson Edward and Miyanishi Kiyoko. Academic Press, San Diego, California. pp. 527-583.
29. Martell, D.L. 2007. Forest fire management. In Handbook of operations research in natural resources. Edited by Andres Weintraub, Carlos Romero, Trond Bjørndal, Rafael Epstein, and Jaime Miranda. International Series in Operations Research & Management Science, Vol. 99, Springer. pp. 489-509.
30. Martell, D.L., Gunn, E.A., and Weintraub, A. 1998. Forest management challenges for operational researchers. Eur. J. Oper. Res. 104(1): 1-17. doi:10.1016/ S0377-2217(97)00329-9.
31. Mavsar, R., Cabán, A.G., and Farreras, V. 2010. The importance of economics in fire management programmes analysis. In Towards integrated fire management-outcomes of the European project Fire Paradox. Edited by J.S. Silva, F. Rego, P. Fernandes, and E. Rigolot. European Forest Institute, Torikatu, Joensuu, Finland.
32. Mavsar, R., González Cabán, A., and Varela, E. 2013. The state of development of fire management decision support systems in America and Europe. For. Policy Econ. 29: 45-55. doi:10.1016/j.forpol.2012.11.009.
33. McAlpine, R.S., and Hirsch, K.G. 1999. An overview of LEOPARDS: the level of protection analysis system. For. Chron. 75(4): 615-621.
34. Mendes, I. 2010. A theoretical economic model for choosing efficient wildfire suppression strategies. For. Policy Econ. 12(5): 323-329. doi:10.1016/j.forpol. 2010.02.005.
35. Mercer, D.E., Haight, R.G., and Prestemon, J.P. 2008. Analyzing trade-offs between fuels management, suppression, and damages from wildfire. In The Economics of Forest Disturbances. Forestry Sciences Vol. 79, Springer, Netherlands. pp. 247-272.
36. Mills, T.J., and Bratten, F.W. 1982. FEES: design of a fire economics evaluation system. USDA Forest Service, Pacific Southwest Forest and Range Experiment Station, Berkeley, California, General Technical Report PSW-65.
37. Minas, J.P., Hearne, J.W., and Handmer, J.W. 2012. A review of operations research methods applicable to wildfire management. Int. J. Wildland Fire, 21(3): 189-196. doi:10.1071/WF10129.
38. 2emissions mitigation in Europe through prescribed burning in the context of the Kyoto Protocol. For. Ecol. Manage. 251(3): 164-173. doi:10.1016/j. foreco.2007.06.042.
39. Noonan-Wright, E.K., Opperman, T.S., Finney, M.A., Zimmerman, G.T., Seli, R.C., Elenz, L.M., Calkin, D.E., and Fiedler, J.R. 2011. Developing the US Wildland Fire Decision Support System. Journal of Combustion, 2011: 1-14. doi:10.1155/ 2011/168473.
40. Nordstokke, D.W., and Zumbo, B.D. 2010. A new nonparametric Levene test for equal variances. Psicologica, 31(2): 401-430.
41. Pacheco, A.P. 2011. Simulation analysis of a wildland fire suppression system. DEIG, Faculty of Engineering, University of Porto, Porto, Portugal.
42. Pacheco, A.P., Claro, J., and Oliveira, T. 2012. Rekindle dynamics: validating the pressure on wildland fire suppression resources and implications for fire management in Portugal. In Modelling, monitoring and management of forest fires III. Wessex Institute of Technology, Ashurst, Southampton, UK.
43. Papadopoulos, G.D., and Pavlidou, F.N. 2011. A comparative review on wildfire simulators. IEEE Syst. J. 5(2): 233-243. doi:10.1109/JSYST.2011.2125230.
44. Podur, J.J., and Martell, D.L. 2007. A simulation model of the growth and suppression of large forest fires in Ontario. Int. J. Wildland Fire, 16(3): 285-294. doi:10.1071/WF06107.
45. Podur, J., and Wotton, M. 2010. Will climate change overwhelm fire management capacity? Ecol. Model. 221(9): 1301-1309. doi:10.1016/j.ecolmodel.2010. 01.013.
46. Quince, A.F. 2009. Performance measures for forest fire management organizations: evaluating and enhancing initial attack operations in the province of Alberta's Boreal Natural Region. Thesis, Graduate Department of Forestry, University of Toronto, Toronto, Ontario, Canada.
47. Rodríguez y Silva, F., and González-Cabán, A. 2010. 'SINAMI': a tool for the economic evaluation of forest fire management programs in Mediterranean ecosystems. Int. J. Wildland Fire, 19(7): 927-936. doi:10.1071/WF09015.
48. San-Miguel-Ayanz, J., Moreno, J.M., and Camia, A. 2013. Analysis of large fires in European Mediterranean landscapes: lessons learned and perspectives. For. Ecol. Manage. 294: 11-22. doi:10.1016/j.foreco.2012.10.050.
49. Sullivan, A.L. 2009. Wildland surface fire spread modelling, 1990-2007. 3: Simulation and mathematical analogue models. Int. J. Wildland Fire, 18(4): 387-403. doi:10.1071/WF06144.
50. Tedim, F., Remelgado, R., Borges, C., Carvalho, S., and Martins, J. 2013. Exploring the occurrence of mega-fires in Portugal. For. Ecol. Manage. 294: 86-96. doi:10.1016/j.foreco.2012.07.031.
51. Thompson, M.P., and Calkin, D.E. 2011. Uncertainty and risk in wildland fire management: a review. J. Environ. Manag. 92(8): 1895-1909. doi:10.1016/j. jenvman.2011.03.015.
52. Tu, Y.F. 2002. Assessment of the current false alarm situation from fire detection systems in New Zealand and the development of an expert system for their identifications. School of Engineering, University of Canterbury, Christchurch, New Zealand.
53. Tymstra, C., Bryce, R.W., Wotton, B.M., Taylor, S.W., and Armitage, O.B. 2010. Development and structure of Prometheus: the Canadian wildland fire growth simulation model. Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre, Edmonton, Alberta, Canada, Information Report NOR-X-417.
54. Van Wagner, C.E. 1979. The economic impact of individual fires on the whole forest. For. Chron. 55(2): 47-50. doi:10.5558/tfc55047-2.
55. Wallace, R. 1978. Contagion and incubation in New York City structural fires 1964-1976. Hum. Ecol. 6(4): 423-433. doi:10.1007/BF00889418.
56. White, K.P., and Ingalls, R.G. 2009. Introduction to simulation. In Proceedings of the 2009 Winter Simulation Conference (WSC), 13-16 December 2009, Austin, Texas. Available from http://ieeexplore.ieee.org/xpl/articleDetails.jsp? arnumber=5429315. pp. 12-23.
57. Wotton, B.M. 2009. Interpreting and using outputs from the Canadian Forest Fire Danger Rating System in research applications. Environ. Ecol. Stat. 16(2): 107-131. doi:10.1007/s10651-007-0084-2.
58. Yang, L., Gell, M., Dawson, C., and Brown, M. 2003. Clustering hoax fire calls using evolutionary computation technology. In Developments in applied artificial intelligence. Edited by Paul Chung, Chris Hinde, and Moonis Ali. Springer, Berlin, Heidelberg. pp. 644-652.
59. AFN. 2011. Relatório Anual de Áreas Ardidas e Ocorrências em 2010. Available from http://www.afn.min-agricultura.pt/portal/dudf/relatorios/resource/ficheiros/2010/relatorio-final-2010 (Archived by WebCite® at http://www.webcitation.org/5xrU23Pfn) [accessed April 11 2011].
60. o Inventário Florestal Nacional. 2005-2006. Relatório Final. Autoridade Florestal Nacional ed. Direcção Nacional de Gestão Florestal, Lisboa.
61. ISA. 2005. Plano Nacional de Defesa da Floresta contra Incêndios: Um Presente para o Futuro. Available from http://www.isa.utl.pt/pndfci/ (Archived by WebCite® at http://www.webcitation.org/5zjuImZzu) [accessed 2011-03-07 2011].
62. Kelton, W.D., Sadowski, R.P., and Swets, N.B. (eds). 2010. Simulation with Arena. 5 ed. McGraw-Hill International Edition.
63. Rossetti, M.D. (ed). 2010. Simulation modeling and arena. John Wiley & Sons, Inc.