File:OPTIMIZING RESOURCE AUGMENTATION FOR WILDLAND FIRES (IA optimizingresour1094562835).pdf
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[edit]OPTIMIZING RESOURCE AUGMENTATION FOR WILDLAND FIRES
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| Author |
Scholz, Zachary T. |
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| Title |
OPTIMIZING RESOURCE AUGMENTATION FOR WILDLAND FIRES |
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| Publisher |
Monterey, CA; Naval Postgraduate School |
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| Description |
During December 2017, the Los Angeles County Fire Department (LACoFD) responded to an unprecedented number of wildland fires spanning thousands of square miles within the county. While most of the fires were successfully contained, several caused widespread catastrophic damage. During red flag (high-risk) days, LACoFD currently uses augmented staffing, either by moving on-duty equipment and personnel, or mobilizing those who are off duty to reduce response time. Operational duty chiefs make these augmentation decisions based on current weather conditions and experience. This thesis develops regression models to estimate the probability and potential burned acreage of wildland fires in each of 21 sub-areas in the county. Then, a budget-constrained optimization model reassigns resources between sub-areas in order to minimize expected population displacement due to wildland fire. A comparison of these automated techniques with those manual decisions made during December 2017 reveals significant improvements to augmented staffing that can be made at a lower cost. Subjects: fire fighters; fire management; optimization; modeling; burn index; augmentation; return on investment; pre-deployment |
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| Language | English | |
| Publication date | June 2019 | |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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| Accession number |
optimizingresour1094562835 |
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| Source | ||
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | |
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 15:23, 23 July 2020 |  | 1,275 × 1,650, 116 pages (3.55 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection optimizingresour1094562835 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #24183) |
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