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Minimizing economic impacts from post-fire debris flows in the western United States

Author

Listed:
  • Kevin McCoy

    (Colorado School of Mines
    Colorado School of Mines)

  • Vitaliy Krasko

    (Colorado School of Mines)

  • Paul Santi

    (Colorado School of Mines)

  • Daniel Kaffine

    (University of Colorado at Boulder)

  • Steffen Rebennack

    (Colorado School of Mines)

Abstract

For individual burned drainage basins, existing hazard models and readily available data can be combined in a geographic information system to rapidly estimate debris-flow-related damages following a wildfire. The results can then be integrated into an optimization model, whose output guides allocation of emergency management funds and selection of cost-optimized debris-flow management strategies for burned areas consisting of multiple drainage basins. This paper describes methods to identify and value elements-at-risk from a range of possible post-fire debris-flow scenarios, methods to integrate these results with common debris-flow mitigation techniques and best management practices, and methods to apply this information to optimize the mitigation decisions for burned areas. Despite the potential to transform the way hazard managers approach debris-flow mitigation decisions following wildfires, natural hazard and social science management models have not previously been linked in the literature. Results from Santa Barbara (California), Great Sand Dunes National Park (Colorado), and Colfax/Las Animas Counties (Colorado, New Mexico) study sites indicate that optimization modeling can be used to select natural hazard management methods whose benefit for mitigation of post-fire debris flows can easily outweigh the cost of implementation.

Suggested Citation

  • Kevin McCoy & Vitaliy Krasko & Paul Santi & Daniel Kaffine & Steffen Rebennack, 2016. "Minimizing economic impacts from post-fire debris flows in the western United States," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 149-176, August.
  • Handle: RePEc:spr:nathaz:v:83:y:2016:i:1:d:10.1007_s11069-016-2306-0
    DOI: 10.1007/s11069-016-2306-0
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    References listed on IDEAS

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    1. Steffen Rebennack & Josef Kallrath, 2015. "Continuous Piecewise Linear Delta-Approximations for Univariate Functions: Computing Minimal Breakpoint Systems," Journal of Optimization Theory and Applications, Springer, vol. 167(2), pages 617-643, November.
    2. P. Santi & K. Hewitt & D. VanDine & E. Barillas Cruz, 2011. "Debris-flow impact, vulnerability, and response," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 56(1), pages 371-402, January.
    3. Holmes, Thomas P. & Bergstrom, John C. & Huszar, Eric & Kask, Susan B. & Orr, Fritz III, 2004. "Contingent valuation, net marginal benefits, and the scale of riparian ecosystem restoration," Ecological Economics, Elsevier, vol. 49(1), pages 19-30, May.
    4. J.M. Bowker & John C. Bergstrom & Joshua Gill, 2007. "Estimating the Economic Value and Impacts of Recreational Trails: A Case Study of the Virginia Creeper Rail Trail," Tourism Economics, , vol. 13(2), pages 241-260, June.
    5. M. Jakob & D. Stein & M. Ulmi, 2012. "Vulnerability of buildings to debris flow impact," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(2), pages 241-261, January.
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    Cited by:

    1. Steffen Rebennack & Vitaliy Krasko, 2020. "Piecewise Linear Function Fitting via Mixed-Integer Linear Programming," INFORMS Journal on Computing, INFORMS, vol. 32(2), pages 507-530, April.

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