Operational flexibility in forest fire prevention and suppression: a spatially explicit intra-annual optimization analysis, considering prevention, (pre)suppression, and escape costs

[1]  Matthew P. Thompson,et al.  A review of challenges to determining and demonstrating efficiency of large fire management , 2017 .

[2]  Monica G. Turner,et al.  Adapt to more wildfire in western North American forests as climate changes , 2017, Proceedings of the National Academy of Sciences.

[3]  Michel-Alexandre Cardin,et al.  An approach for analyzing and managing flexibility in engineering systems design based on decision rules and multistage stochastic programming , 2017 .

[4]  Gavriil Xanthopoulos,et al.  A wildfire risk management concept based on a social-ecological approach in the European Union: Fire Smart Territory , 2016 .

[5]  Matthew P. Thompson,et al.  Getting Ahead of the Wildfire Problem: Quantifying and Mapping Management Challenges and Opportunities , 2016 .

[6]  Toddi A. Steelman,et al.  Wildfire risk as a socioecological pathology , 2016 .

[7]  P. Fernandes,et al.  The role of fire-suppression force in limiting the spread of extremely large forest fires in Portugal , 2016, European Journal of Forest Research.

[8]  Michel-Alexandre Cardin,et al.  Design Catalogs: A Systematic Approach to Design and Value Flexibility in Engineering Systems , 2015, Syst. Eng..

[9]  José G. Borges,et al.  Cohesive fire management within an uncertain environment: A review of risk handling and decision support systems , 2015 .

[10]  Mikael Rönnqvist,et al.  Operations Research challenges in forestry: 33 open problems , 2015, Annals of Operations Research.

[11]  David L. Martell,et al.  A Review of Recent Forest and Wildland Fire Management Decision Support Systems Research , 2015, Current Forestry Reports.

[12]  Fermín J. Alcasena,et al.  A fire modeling approach to assess wildfire exposure of valued resources in central Navarra, Spain , 2015, European Journal of Forest Research.

[13]  J. Claro,et al.  Flexible planning of the investment mix in a forest fire management system: spatially-explicit intra-annual optimization, considering prevention, pre-suppression, suppression, and escape costs , 2014 .

[14]  Richard de Neufville,et al.  Flexible design of a cost-effective network of fire stations, considering uncertainty in the geographic distribution and intensity of escaped fires , 2014 .

[15]  Matthew P. Thompson,et al.  Economics of Wildfire Management: The Development and Application of Suppression Expenditure Models , 2014 .

[16]  James P. Minas,et al.  A spatial optimisation model for multi-period landscape level fuel management to mitigate wildfire impacts , 2014, Eur. J. Oper. Res..

[17]  Paulo Mateus,et al.  Forest Fires in Portugal: Dynamics, Causes and Policies , 2014 .

[18]  Matthew P. Thompson,et al.  Linking Suppression Expenditure Modeling with Large Wildfire Simulation Modeling , 2014 .

[19]  Tiago M. Oliveira,et al.  Simulation analysis of the impact of ignitions, rekindles, and false alarms on forest fire suppression , 2014 .

[20]  Donatella Spano,et al.  Analyzing spatiotemporal changes in wildfire regime and exposure across a Mediterranean fire-prone area , 2014, Natural Hazards.

[21]  João Claro,et al.  Forest fire management to avoid unintended consequences: a case study of Portugal using system dynamics. , 2013, Journal of environmental management.

[22]  J. Lousada,et al.  Recolha de Biomassa Florestal: Avaliação dos Custos e Tempos de Trabalho , 2013 .

[23]  J. San-Miguel-Ayanz,et al.  Analysis of large fires in European Mediterranean landscapes: Lessons learned and perspectives , 2013 .

[24]  Olivier L. de Weck,et al.  Enhancing the value of offshore developments with flexible subsea tiebacks , 2013 .

[25]  James P. Minas,et al.  An integrated optimization model for fuel management and fire suppression preparedness planning , 2013, Annals of Operations Research.

[26]  João Claro,et al.  Simulation analysis of a wildfire suppression system , 2013 .

[27]  Robert G. Haight,et al.  Deploying initial attack resources for wildfire suppression: spatial coordination, budget constraints, and capacity constraints , 2013 .

[28]  R. Keiter Wildfire Policy, Climate Change, and the Law , 2012 .

[29]  Matthew P. Thompson,et al.  A real-time risk assessment tool supporting wildland fire decisionmaking , 2011 .

[30]  Joseph Y. J. Chow,et al.  Resource Location and Relocation Models with Rolling Horizon Forecasting for Wildland Fire Planning , 2011, INFOR Inf. Syst. Oper. Res..

[31]  A. P. Pacheco Simulation Analysis of a Wildland Fire Suppression System , 2011 .

[32]  D. Butry,et al.  Economic optimisation of wildfire intervention activities. , 2010 .

[33]  Jiri Chod,et al.  Operational Flexibility and Financial Hedging: Complements or Substitutes , 2010, Manag. Sci..

[34]  Olivier L. de Weck,et al.  Designing Capital-Intensive Systems with Architectural and Operational Flexibility Using a Screening Model , 2009, Complex.

[35]  Leif Gustavsson,et al.  Process-based analysis of added value in forest product industries , 2009 .

[36]  Robert G. Haight,et al.  Analyzing Trade-Offs Between Fuels Management, Suppression, and Damages from Wildfire , 2008 .

[37]  Carlos Pinto Coelho Amaral Netto Potencial da biomassa florestal residual para fins energéticos de três concelhos , 2008 .

[38]  M. Finney,et al.  Modeling wildfire risk to northern spotted owl (Strix occidentalis caurina) habitat in Central Oregon, USA , 2007 .

[39]  Robert G. Haight,et al.  Deploying Wildland Fire Suppression Resources with a Scenario-Based Standard Response Model , 2007, INFOR Inf. Syst. Oper. Res..

[40]  P. Bettinger,et al.  Systems Analysis in Forest Resources: Proceedings of the 2003 Symposium , 2005 .

[41]  John B. Loomis,et al.  TESTING FOR DIFFERENTIAL EFFECTS OF FOREST FIRES ON HIKING AND MOUNTAIN BIKING DEMAND AND BENEFITS , 2001 .

[42]  George M. Parks,et al.  Development and Application of a Model for Suppression of Forest Fires , 1964 .