Emergency assessments of postfire debris-flow hazards for the 2009 La Brea, Jesusita, Guiberson, Morris, Sheep, Oak Glen, Pendleton, and Cottonwood fires in southern California

Cannon, Susan H.; Gartner, Joseph E.; Rupert, Michael G.; Michael, John A.

doi:10.3133/ofr20101186

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Cannon et al (2010b) and Gartner et al (2008) indicate that their V model is valid to within an order of magnitude of the predicted debris-flow V. These methods are most commonly used to evaluate hazards to within an order of magnitude by calculating P and V for a specific rainfall scenario, generalizing expected Vs and Ps into relative hazard classes, and identifying the relative hazard along a portion of a mountain front through combined P and V classes. Examples of this process can be seen in Cannon et al (2010a) and Tillery et al (2011). One reason for this generalized approach is the uncertainty inherent in the models, especially modeled Vs.…”

Section: Model Uncertainty and Alternative Methodsmentioning

confidence: 99%

“…The Jesusita fire burned a series of basins north of the city of Santa Barbara, California in 2009 (Cannon et al, 2010a). Fig.…”

Section: Overviewmentioning

confidence: 99%

“…Cannon et al, 2010a, Tillery et al, 2011 are commonly performed after a fire to help guide natural hazards management. The scope of these hazard assessments is often limited to estimating probability and volume of potential debris-flows.…”

Section: Introductionmentioning

confidence: 99%

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Rocky Mountain Geo-Conference 2014

Strickland¹,

Wiltshire²,

Goss³

2014

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Section: Model Uncertainty and Alternative Methodsmentioning

confidence: 99%

“…The Jesusita fire burned a series of basins north of the city of Santa Barbara, California in 2009 (Cannon et al, 2010a). Fig.…”

Section: Overviewmentioning

confidence: 99%

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Rocky Mountain Geo-Conference 2014

Strickland¹,

Wiltshire²,

Goss³

2014

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

et al. 2016

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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 elementsat-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.

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