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

GSTDTAP

项目编号	1725774
	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
	Katherine Barnhart
主持机构	Barnhart Katherine R
项目开始年	2018
	2018
项目结束日期	2019-12-31
资助机构	US-NSF
项目类别	Fellowship
项目经费	174000(USD)
国家	美国
语种	英语
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.
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/72200
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Katherine Barnhart.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.2018.