Wildfire Risk in the Complex Terrain of the Santa Barbara Wildland-Urban Interface during Extreme Winds

被引:6
|
作者
Zigner, Katelyn [1 ]
Carvalho, Leila M., V [1 ,2 ]
Jones, Charles [1 ,2 ]
Benoit, John [3 ]
Duine, Gert-Jan [2 ]
Roberts, Dar [1 ,2 ]
Fujioka, Francis [4 ]
Moritz, Max [1 ,2 ,5 ]
Elmquist, Nic [6 ]
Hazard, Rob [7 ]
机构
[1] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
[2] Earth Res Inst, Santa Barbara, CA 93106 USA
[3] US Forest Serv, Pacific Southwest Res Stn, Riverside, CA 92507 USA
[4] Chapman Univ, Inst Earth Comp Human & Observing, Orange, CA 92866 USA
[5] Univ Calif Cooperat Extens, Santa Barbara, CA 93106 USA
[6] Montecito Fire Dept, Santa Barbara, CA 93108 USA
[7] Santa Barbara Cty Fire Dept, Santa Barbara, CA 93110 USA
来源
FIRE-SWITZERLAND | 2022年 / 5卷 / 05期
基金
美国国家科学基金会;
关键词
wildfire modeling; FARSITE; fire weather; Sundowner winds; ignition modeling; WUI; SOUTHERN CALIFORNIA; SUNDOWNER WINDS; FUTURE WILDFIRE; FIRE REGIMES; PROBABILITY; SIMULATION; IGNITIONS;
D O I
10.3390/fire5050138
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Each year, wildfires ravage the western U.S. and change the lives of millions of inhabitants. Situated in southern California, coastal Santa Barbara has witnessed devastating wildfires in the past decade, with nearly all ignitions started by humans. Therefore, estimating the risk imposed by unplanned ignitions in this fire-prone region will further increase resilience toward wildfires. Currently, a fire-risk map does not exist in this region. The main objective of this study is to provide a spatial analysis of regions at high risk of fast wildfire spread, particularly in the first two hours, considering varying scenarios of ignition locations and atmospheric conditions. To achieve this goal, multiple wildfire simulations were conducted using the FARSITE fire spread model with three ignition modeling methods and three wind scenarios. The first ignition method considers ignitions randomly distributed in 500 m buffers around previously observed ignition sites. Since these ignitions are mainly clustered around roads and trails, the second method considers a 50 m buffer around this built infrastructure, with ignition points randomly sampled from within this buffer. The third method assumes a Euclidean distance decay of ignition probability around roads and trails up to 1000 m, where the probability of selection linearly decreases further from the transportation paths. The ignition modeling methods were then employed in wildfire simulations with varying wind scenarios representing the climatological wind pattern and strong, downslope wind events. A large number of modeled ignitions were located near the major-exit highway running north-south (HWY 154), resulting in more simulated wildfires burning in that region. This could impact evacuation route planning and resource allocation under climatological wind conditions. The simulated fire areas were smaller, and the wildfires did not spread far from the ignition locations. In contrast, wildfires ignited during strong, northerly winds quickly spread into the wildland-urban interface (WUI) toward suburban and urban areas.
引用
收藏
页数:22
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