Graduation Date

Summer 2025

Document Type

Thesis

Program

Master of Science degree with a major in Natural Resources, option Forestry, Watershed, & Wildland Sciences

Committee Chair Name

David Greene

Committee Chair Affiliation

Cal Poly Humboldt Faculty or Staff

Second Committee Member Name

Jeffrey Kane

Second Committee Member Affiliation

Cal Poly Humboldt Faculty or Staff

Third Committee Member Name

Sara McAllister

Third Committee Member Affiliation

Community Member or Outside Professional

Fourth Committee Member Name

Jason Forthofer

Fourth Committee Member Affiliation

Community Member or Outside Professional

Keywords

Wildfire, California, Fire Investigation, Cigarette Ignition, Ignition, Grass Ignition, Fire Pattern Indicators

Abstract

As wildfires in North America increase in size and frequency, the societal impacts become greater as well. With greater risk and high fire suppression costs it is pertinent to improve fire investigation methods and limit the potential for human caused ignitions. Two distinct studies were carried out to assess the accuracy of fire pattern indicators and the efficacy of “fire safe” cigarette technology in lowland grass fuel types in California. The first study utilized 24 experimental small-scale fires within a wind tunnel to examine the accuracy of microscale fire pattern indicators and the factors that influence the accuracy of predictions in wildfire origin investigations. An analysis of variance was used to detect differences in angular accuracy of various fire pattern indicators and logistic regression was used to determine how wind speed, flame spread type (heading, flanking, and backing), and ignition affect origin predictions at different levels of angular accuracy. All fire pattern indicators examined displayed an accuracy at or better than the currently accepted ± 90° margin of error. Out of the fire pattern indicators examined grass stemfall tended to be the least accurate with the highest variability. At the ± 90° resolution flame spread and windspeed had the largest affect on successful predictions, as the resolution was made finer (< ± 90°) ignition type and indicator category had a greater impact on success. The second study compared the rates of self-extinguishment of “fire safe” cigarettes using industry standard testing compared to conditions that are exposed to wind and dried grassy fuels. Logistic regression was used to model the probability of self-extinguishment in various combinations of wind and substrate. Cigarettes that passed standardized tests failed when grassland conditions were mimicked. Both wind and exposure to dried grasses reduced the rate of self-extinguishment, with the combination of both leading to a rate of self-extinguishment well below the rate required to be certified as “fire safe”. These results provide an indication that current cigarette safety standards do not wholistically reduce ignition propensity in all substrates.

Citation Style

APA

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