An evaluation of GPR monitoring methods on varying river ice conditions: A case study in Alaska

探地雷达 地质学 海冰 海冰厚度 水文学(农业) 横断面 北极冰盖 环境科学 快速结冰 熔池 自然地理学 地貌学 雷达 气候学 海洋学 岩土工程 电信 地理 计算机科学
作者
Elizabeth A. Richards,Svetlana Stuefer,Rodrigo Corrêa Rangel,Christopher V. Maio,Nathan Belz,R. P. Daanen
出处
期刊:Cold Regions Science and Technology [Elsevier]
卷期号:210: 103819-103819 被引量:7
标识
DOI:10.1016/j.coldregions.2023.103819
摘要

Ice roads and bridges across rivers, estuaries, and lakes are common transportation routes during winter in regions of the circumpolar north. Ice thickness, hydraulic hazards, climate variability and associated warmer air temperatures have always raised safety concerns and uncertainty among those who travel floating ice road routes. One way to address safety concerns is to monitor ice conditions throughout the season. We tested ground penetrating radar (GPR) for its ability and accuracy in measuring floating ice thickness under three specific conditions: 1) presence of snow cover and overflow, 2) presence of snow cover, and 3) bare ice, all common to Interior Alaska rivers. In addition, frazil ice was evaluated for its ability to interfere with the GPR measurement of ice thickness. We collected manual ice measurements and GPR cross-sectional transects over 2 years on the Tanana River near Fairbanks, Alaska, and for 1 year on the Yukon River near Tanana, Alaska. Ground truth measurements were compared with ice thickness calculated from an average velocity model created using GPR data. The error was as low as 2.3–6.4% on the Yukon River (Condition 3) and 4.6–9.5% on the Tanana River (Conditions 1 and 2), with the highest errors caused by overflow conditions. We determined that certain environmental conditions such as snow cover and overflow change the validity of an average velocity model for ice thickness identification using GPR, while frazil ice accumulation does not have a detectable effect on the strength of radar reflection at the ice-water interface with the frequencies tested. Ground penetrating radar is a powerful tool for measuring river ice thickness, yet further research is needed to advance the ability of rural communities to monitor ice thickness using fewer time-intensive manual measurements to determine the safety of ice cover on transportation routes.
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