Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR022680 |
Combining Ground-Penetrating Radar With Terrestrial LiDAR Scanning to Estimate the Spatial Distribution of Liquid Water Content in Seasonal Snowpacks | |
Webb, R. W.1,2; Jennings, K. S.1,3; Fend, M.4; Molotch, N. P.1,3 | |
2018-12-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:12页码:10339-10349 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Many communities and ecosystems around the world rely on mountain snowpacks to provide valuable water resources. An important consideration for water resources planning is runoff timing, which can be strongly influenced by the physical process of water storage within and release from seasonal snowpacks. The aim of this study is to present a novel method that combines light detection and ranging with ground-penetrating radar to nondestructively estimate the spatial distribution of bulk liquid water content in a seasonal snowpack during spring snowmelt. We develop these methods in a manner to be applicable within a short time window, making it possible to spatially observe rapid changes that occur to this property at subdaily timescales. We applied these methods at two experimental plots in Colorado, showing the high variability of liquid water content in snow. Volumetric liquid water contents ranged from near zero to 19%vol within the scale of meters. We also show rapid changes in bulk liquid water content of up to 5%vol that occur over subdaily timescales. The presented methods have an average uncertainty in bulk liquid water content of 1.5%vol, making them applicable for future studies to estimate the complex spatio-temporal dynamics of liquid water in snow. |
英文关键词 | ground-penetrating radar LiDAR snowmelt snow liquid water in snow |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000456949300018 |
WOS关键词 | SNOW DEPTH ; STREAMFLOW GENERATION ; NORTHERN-HEMISPHERE ; PREFERENTIAL FLOW ; ALPINE TERRAIN ; CLIMATE-CHANGE ; SIERRA-NEVADA ; LATERAL FLOW ; WET-SNOW ; MODEL |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21114 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Colorado, Inst Arctic & Alpine Res, Boulder, CO 80309 USA; 2.Univ New Mexico, Dept Civil Construct & Environm Engn, Albuquerque, NM 87131 USA; 3.Univ Colorado, Dept Geog, Boulder, CO 80309 USA; 4.Univ NAVSTAR Consortium, Boulder, CO USA |
推荐引用方式 GB/T 7714 | Webb, R. W.,Jennings, K. S.,Fend, M.,et al. Combining Ground-Penetrating Radar With Terrestrial LiDAR Scanning to Estimate the Spatial Distribution of Liquid Water Content in Seasonal Snowpacks[J]. WATER RESOURCES RESEARCH,2018,54(12):10339-10349. |
APA | Webb, R. W.,Jennings, K. S.,Fend, M.,&Molotch, N. P..(2018).Combining Ground-Penetrating Radar With Terrestrial LiDAR Scanning to Estimate the Spatial Distribution of Liquid Water Content in Seasonal Snowpacks.WATER RESOURCES RESEARCH,54(12),10339-10349. |
MLA | Webb, R. W.,et al."Combining Ground-Penetrating Radar With Terrestrial LiDAR Scanning to Estimate the Spatial Distribution of Liquid Water Content in Seasonal Snowpacks".WATER RESOURCES RESEARCH 54.12(2018):10339-10349. |
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