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EAR-PF Dynamics from drones: using high-resolution repeat topography and grain size to differentiate between physically-based models of debris creation and debris flow initiation

EAR-PF Dynamics from drones: using high-resolution repeat topography and grain size to differentiate between physically-based models of debris creation and debris flow initiation
无人机的 EAR-PF 动力学:使用高分辨率重复地形和颗粒尺寸来区分基于物理的碎片生成和泥石流引发模型
批准号:
1725774
负责人:
Katherine Barnhart
金额:
$8.7万
依托单位:
依托单位国家:
美国
项目类别:
Fellowship Award
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-01-01 至 2020-12-31

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英文摘要
Dr. Katherine R. Barnhart has been granted an NSF EAR Postdoctoral Fellowship to carry out research and education plans at the University of Colorado and University of Kansas. The project seeks to assess the mechanisms responsible for initiating debris flows - water-laden slurries of soil and rock from landslides - that move rapidly through channels in steep landscapes and present hazards to human life, infrastructure and property. To benefit the public, the outcomes of this project will include a landscape evolution model incorporating processes responsible for the recharge of debris, and processes responsible for the actual debris flow initiation. This model will improve predictions and risk assessment in debris flow prone areas. For the education component of this project, Dr. Barnhart will develop a senior-undergraduate and first-year graduate student course focused on the philosophy of science as applied to the geosciences and an investigation into the ingredients of a good research question.Debris flows are among the most dangerous and frequent natural hazards; once initiated in a steep region, a debris flow can continue to travel over shallow terrain, greatly extending the hazard, frequently destroying houses and covering streets with mud, which is costly to remove. Models for debris flows that relate antecedent conditions (e.g., soil moisture) and external forcing (e.g., surface hydrodynamic stresses) provide an opportunity for mechanistic understanding and prediction of natural debris flows. However, the steep and difficult terrain in debris flow prone regions precludes the observation of initiation zones which, in turn, prevents attribution of debris recharge and flow initiation to specific mechanisms. The project will employ novel methods -including drone-based photography- to make observations within the steep terrain in debris-flow initiation zones. Maps of topography and sediment characteristics will be made from these images which will constrain numerical models for (1) the amount and size distribution of material delivered to the channel between debris flow events, (2) the timing and (3) mechanisms of debris flow initiation.
期刊论文(15)
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科研奖励(0)
会议论文
DOI: 10.5194/gmd-12-1267-2019
发表时间: 2018-10
期刊: Geoscientific Model Development
影响因子: 5.1
作者: [K. Barnhart;R. Glade;C. Shobe;G. Tucker]
通讯作者: K. Barnhart;R. Glade;C. Shobe;G. Tucker
Lithology: A Landlab submodule for spatially variable rock properties
岩性:用于空间可变岩石特性的 Landlab 子模块
DOI: 10.21105/joss.00979
发表时间: 2018
期刊: Journal of Open Source Software
影响因子: --
作者: [Barnhart, Katherine, Hutton, Eric, Gasparini, Nicole, Tucker, Gregory]
通讯作者: Tucker, Gregory
DOI: 10.1029/2018jf004961
发表时间: 2018-12
期刊: Journal of Geophysical Research: Earth Surface
影响因子: --
作者: [K. Barnhart;G. Tucker;Sandra G. Doty;C. Shobe;R. Glade;M. Rossi;M. Hill]
通讯作者: K. Barnhart;G. Tucker;Sandra G. Doty;C. Shobe;R. Glade;M. Rossi;M. Hill
umami: A Python package for Earth surface dynamics objective function construction
umami:用于构建地球表面动力学目标函数的 Python 包
DOI: 10.21105/joss.01776
发表时间: 2019
期刊: Journal of Open Source Software
影响因子: --
作者: [Barnhart, Katherine, Hutton, Eric, Tucker, Gregory]
通讯作者: Tucker, Gregory
13
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