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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Post-wildfire sediment cascades: A modeling framework linking debris flow generation and network-scale sediment routing
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Post-wildfire sediment cascades: A modeling framework linking debris flow generation and network-scale sediment routing

机译:野战后沉积物级联:连接碎片流动和网络级沉积路线的建模框架

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Wildfires represent one of the largest disturbances in watersheds of the Intermountain West. Yet, we lack models capable of predicting post-wildfire impacts on downstream ecosystems and infrastructure. Here we present a novel modeling framework that links new and existing models to simulate the post-wildfire sediment cascade, including spatially explicit predictions of debris flows, storage of debris flow sediment within valleys, delivery of debris flow sediment to active channels, and the downstream routing of sediment through river networks. We apply the model to sediment dynamics in Clear Creek watershed following the 2010 Twitchell Canyon Fire in the Tushar Mountains of southern Utah. The debris flow generation model performed well, correctly predicting 19 out of 20 debris flows from the largest catchments, with only four false positives and two false negatives at observed rainfall intensities. In total, the model predicts the occurrence of 160 post-wildfire debris flows across the Clear Creek watershed, generating more than 650 000 m(3) of sediment. Our new storage and delivery model predicts the vast majority of this sediment is stored within valleys, and only 13% is delivered to the river network. The sediment routing model identifies numerous sediment bottlenecks within the network, which alter transport dynamics and may be hotspots for aggradation and aquatic habitat alteration. The volume of sediment exported from the watershed after seven years of simulation totals 17% of that delivered, or 2% of the total generated debris flow sediment. In the case of the Twitchell Canyon Fire, this highlights that significant post-wildfire sediment volumes can be stored in valleys (87%) and within the stream network (11%). Finally, we discuss useful insights that can be gleaned from the model framework, as well as the limitations and need for more monitoring and theory development in order to better constrain essential inputs, process rates, and morphodynamics. (c) 2019
机译:野火代表了西部的流域中最大的干扰之一。然而,我们缺乏能够预测野外火灾后的模型对下游生态系统和基础设施的影响。在这里,我们提出了一种新颖的建模框架,将新的和现有模型联系起来模拟野外火灾沉积物级联,包括碎片流动的空间明确预测,谷谷内的碎片流动沉积物,碎片流动沉积物与活动渠道,以及下游通过河网络路由沉积物。在犹他州南部南部的Tushar山脉之后,在2010年Thechar峡谷火灾中将模型应用于清晰的Creek流域中的沉积动力学。碎片流动产生模型良好,正确地预测来自最大集水区的20个碎片流出的19个,只有四个误报和两种假底片,在观察到的降雨强度下。总共,该模型预测了在清澈的小溪流域流动的160次野火碎片的发生,产生了超过6.50 000米(3)个沉积物。我们的新存储和交付模型预测,这沉积物中的绝大多数存储在山谷中,只有13%的人交付给河网。沉积物路由模型识别网络内的许多沉积物瓶颈,改变了运输动态,可能是用于革命和水生栖息地改变的热点。从分水岭出口的沉积物体积在七年的模拟后总量的17%,占生产碎片流量总量的2%。在Twecthell Canyon Fire的情况下,这亮点显着的野火沉积物体积可以存储在谷(87%)和流网络中(11%)。最后,我们讨论了可以从模型框架中收集的有用的见解,以及更多的监测和理论发展,以便更好地限制基本投入,过程率和形态学性。 (c)2019年

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