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Modeling Wildland Firefighter Travel Rates by Terrain Slope: Results from GPS-Tracking of Type 1 Crew Movement

机译:地形坡面建模野生队员旅游速率:GPS跟踪1型船员运动

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Escape routes keep firefighters safe by providing efficient evacuation pathways from the fire line to safety zones. Effectively utilizing escape routes requires a precise understanding of how much time it will take firefighters to traverse them. To improve this understanding, we collected GPS-tracked travel rate data from US Interagency Hotshot “Type 1” Crews during training in 2019. Firefighters were tracked while hiking, carrying standard loads (e.g., packs, tools, etc.) along trails with a precisely-measured terrain slope derived from airborne lidar. The effects of the slope on the instantaneous travel rate were assessed by three models generated using non-linear quantile regression, representing low (bottom third), moderate (middle third), and high (upper third) rates of travel, which were validated using k-fold cross-validation. The models peak at about a −3° (downhill) slope, similar to previous slope-dependent travel rate functions. The moderate firefighter travel rate model mostly predicts faster movement than previous slope-dependent travel rate functions, suggesting that firefighters generally move faster than non-firefighting personnel while hiking. Steepness was also found to have a smaller effect on firefighter travel rates than previously predicted. The travel rate functions produced by this study provide guidelines for firefighter escape route travel rates and allow for more accurate and flexible wildland firefighting safety planning.
机译:逃生路线通过从消防队到安全区域提供有效的疏散途径来保证消防员安全。有效利用逃生路线需要精确地了解它需要消费者遍历它们的时间。为了提高这一理解,我们收集了来自美国际际的GPS跟踪的旅行费率数据,Hotshot“ 1型和rdquo; 2019年培训期间的船员。在远足时跟踪消防员,沿着轨道携带标准载荷(例如,包装,工具等),具有源自空中激光雷达的精确测量的地形坡。通过使用非线性分位数回归产生的三种模型来评估斜率对瞬时旅行速率的影响,代表低(底部第三),中等(中等第三)和高(上三分之一)的旅行率K折叠交叉验证。模型在约A&减去的模型峰值; 3&Deg; (下坡)坡度,类似于以前的斜坡依赖的旅行率函数。适度的消防员旅行率模型主要预测比以前的坡度依赖的旅行率函数更快,建议消防员通常比不消防人员在徒步旅行时移动。还发现陡峭的消防员旅行率比以前预测的速度较小。本研究生产的旅行率函数为消防员逃生路线旅行率提供了指导方针,并允许更准确和灵活的野生野外消防安全规划。

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