Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO 80401;
Department of Earth and Atmospheric Sciences, Indiana University, Bloomington, IN 47405.
Proc Natl Acad Sci U S A. 2020 Oct 13;117(41):25335-25343. doi: 10.1073/pnas.1922495117. Epub 2020 Sep 28.
Climate change is causing increasingly widespread, frequent, and intense wildfires across the western United States. Many geomorphic effects of wildfire are relatively well studied, yet sediment transport models remain unable to account for the rapid transport of sediment released from behind incinerated vegetation, which can fuel catastrophic debris flows. This oversight reflects the fundamental inability of local, continuum-based models to capture the long-distance particle motions characteristic of steeplands. Probabilistic, particle-based nonlocal models may address this deficiency, but empirical data are needed to constrain their representation of particle motion in real landscapes. Here we present data from field experiments validating a generalized Lomax model for particle travel distance distributions. The model parameters provide a physically intuitive mathematical framework for describing the transition from light- to heavy-tailed distributions along a continuum of behavior as particle size increases and slopes get steeper and/or smoother. We show that burned slopes are measurably smoother than vegetated slopes, leading to 1) lower rates of experimental particle disentrainment and 2) runaway motion that produces the heavy-tailed travel distances often associated with nonlocal transport. Our results reveal that surface roughness is a key control on steepland sediment transport, particularly after wildfire when smoother surfaces may result in the preferential delivery of coarse material to channel networks that initiate debris flows. By providing a first-order framework relating the statistics of particle motion to measurable surface characteristics, the Lomax model both advances the development of nonlocal sediment transport theory and reveals insights on hillslope transport mechanics.
气候变化导致美国西部越来越广泛、频繁和剧烈的野火。野火的许多地貌效应已经得到了相当深入的研究,但泥沙输移模型仍然无法解释从焚烧植被后面释放的泥沙的快速输移,这些泥沙可能会引发灾难性的泥石流。这种疏忽反映了局部连续体模型无法捕捉到陡坡特征的长距离颗粒运动。概率性、基于颗粒的非局部模型可能会解决这一缺陷,但需要经验数据来约束它们在真实景观中对颗粒运动的表示。在这里,我们提出了验证广义 Lomax 模型的现场实验数据,该模型用于描述颗粒行进距离分布。该模型参数提供了一个直观的数学框架,用于描述随着颗粒尺寸的增加以及坡度变得更陡和/或更平滑,从轻尾分布到重尾分布的连续行为的转变。我们表明,燃烧后的斜坡比植被覆盖的斜坡更平滑,这导致了 1)实验中颗粒释放的速度更低,以及 2)产生通常与非局部输运相关的重尾行进距离的失控运动。我们的结果表明,地表粗糙度是陡坡泥沙输移的关键控制因素,特别是在野火之后,当更平滑的表面可能导致粗颗粒优先输送到引发泥石流的渠道网络时。通过提供一个将颗粒运动的统计数据与可测量的表面特征联系起来的一阶框架,Lomax 模型既推进了非局部泥沙输移理论的发展,又揭示了对山坡输移力学的深入了解。