New approaches to address scaling issues for lateral flow of water in a layered snowpack

解决分层积雪中水横向流动结垢问题的新方法

• 批准号: 1624853
• 负责人: Ryan Webb
• 金额: $ 17.4万
• 依托单位: Webb Ryan W
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1624853&HistoricalAwards=false
• 关键词: New; approaches; address; scaling; issues

Dr. Ryan W. Webb has been granted an NSF EAR Postdoctoral Fellowship to carry out research and education plans at the University of Colorado - Boulder and Lawrence Berkeley National Laboratory. Dr. Webb will aim at better understanding the lateral flow of water within a snowpack. The investigator will study the formation and scales at which capillary and/or permeability barriers occur in snow, and the applicability of laboratory scale parameters as input for modeling. The investigation will provide fundamental insights into hydrological processes that occur during spring snowmelt in multiple environments. Data generated from this research will be made widely available through the hydrologic database CUAHSI HIS. In addition to research, the investigator will engage in education activities like mentoring undergraduate and graduate students in numerous research opportunities and co-teaching a hydrology course at the University of Colorado.The dynamic processes that occur during snowmelt create a complex environment where the lateral flow of water has been shown to be hydrologically significant, though difficult to model. To model this process accurately, representation of snowpack properties at appropriate scales is necessary. Thus, the research seeks to: 1) determine the variability in grain size and density between adjacent snowpack layers required to produce significant lateral flow at the hillslope scale, 2) determine the driving physical (topographic, land cover, etc.) and climatic conditions required to produce these barriers, 3) produce a two-dimensional numerical model capable of simulating layered porous media with temporally varying properties, and 4) determine how suitable laboratory scale investigations of snow properties are for applications at the hillslope scale. Data will be collected across elevation gradients in the Boulder Creek CZO and Niwot Ridge LTER using state of the science Global Positioning Systems and Ground Penetrating Radar methods for non-destructive measurements of liquid water content in snow, dye tracer experiments for larger scale flow path development investigations, laboratory experiments for isolation of the effect of slope, and inverse modeling for upscaling previously developed laboratory scale parameters.

瑞安·W·韦伯博士获得了NSF EAR博士后奖学金，在科罗拉多大学博尔德分校和劳伦斯·伯克利国家实验室开展研究和教育计划。韦伯博士的目标是更好地了解积雪中水的横向流动。研究人员将研究雪中毛细和/或渗透性屏障的形成和尺度，以及实验室尺度参数作为建模输入的适用性。这项调查将提供对多种环境中春季融雪期间发生的水文过程的基本见解。这项研究产生的数据将通过水文数据库CUAHSI HIS广泛提供。除了研究，研究人员还将从事教育活动，如在众多研究机会中指导本科生和研究生，并在科罗拉多大学共同教授一门水文学课程。融雪期间发生的动态过程创造了一个复杂的环境，其中水的横向流动已被证明具有重要的水文意义，尽管很难建模。为了准确地模拟这一过程，需要在适当的尺度上表示积雪特性。因此，这项研究试图：1)确定在山坡尺度上产生显著横向流所需的相邻积雪层之间的颗粒大小和密度的变异性；2)确定驱动物理(地形、土地覆盖等)。产生这些屏障所需的气候条件，3)产生能够模拟具有随时间变化的特性的层状多孔介质的二维数值模型，以及4)确定实验室尺度的雪特性调查如何适用于山坡尺度的应用。数据将在Boulder Creek CZO和Niwot Ridge LTER的海拔梯度上收集，使用最先进的全球定位系统和探地雷达方法无损测量雪中的液态水含量，使用染料示踪剂实验进行更大规模的流道开发调查，使用隔离坡度影响的实验室实验，以及对先前开发的实验室尺度参数进行反向建模。

项目成果

Combining Ground‐Penetrating Radar With Terrestrial LiDAR Scanning to Estimate the Spatial Distribution of Liquid Water Content in Seasonal Snowpacks

结合地面穿透雷达与地面激光雷达扫描来估计季节性积雪中液态水含量的空间分布

• DOI: 10.1029/2018wr022680
• 发表时间: 2018
• 期刊: Water Resources Research
• 影响因子: 5.4
• 作者: Webb, R. W.;Jennings, K. S.;Fend, M.;Molotch, N. P.
• 通讯作者: Molotch, N. P.

The Spatial and Temporal Variability of Meltwater Flow Paths: Insights From a Grid of Over 100 Snow Lysimeters

融水流动路径的空间和时间变化：来自 100 多个雪蒸渗仪网格的见解

• DOI: 10.1002/2017wr020866
• 发表时间: 2018
• 期刊: Water Resources Research
• 影响因子: 5.4
• 作者: Webb, R. W.;Williams, M. W.;Erickson, T. A.
• 通讯作者: Erickson, T. A.