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A novel sensor combination (upGPR-GPS) to continuously and nondestructively derive snow cover properties

机译:一种新颖的传感器组合(upGpR-Gps),可连续和非破坏性地获得积雪特性

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摘要

Monitoring seasonal snow cover properties is critical for properly managing natural hazards such as snow avalanches or snowmelt floods. However, measurements often cannot be conducted in difficult terrain or lack the high temporal resolution needed to account for rapid changes in the snowpack, e.g., liquid water content (LWC). To monitor essential snowpack properties, we installed an upward looking ground-penetrating radar (upGPR) and a low-cost GPS system below the snow cover and observed in parallel its evolution during two winter seasons. Applying external snow height (HS) information, both systems provided consistent LWC estimates in snow, based on independent approaches, namely measurements of travel time and attenuation of electromagnetic waves. By combining upGPR and GPS, we now obtain a self-contained approach instead of having to rely on external information such as HS. This allows for the first time determining LWC, HS, and snow water equivalent (SWE) nondestructively and continuously potentially also in avalanche-prone slopes.
机译:监测季节性积雪的性质对于正确管理自然灾害(例如雪崩或融雪洪水)至关重要。然而,测量通常不能在困难的地形中进行或缺乏解决积雪迅速变化例如液体水含量(LWC)所需的高时间分辨率。为了监视积雪的基本特性,我们在积雪下安装了一个向上看的探地雷达(upGPR)和一个低成本的GPS系统,并在两个冬季平行观察了它的演变。运用外部雪高(HS)信息,两个系统都基于独立的方法(即行进时间和电磁波衰减的测量)提供了一致的雪中LWC估算。通过结合upGPR和GPS,我们现在获得了一种独立的方法,而不必依赖诸如HS之类的外部信息。这允许首次在雪崩倾向的斜坡上无损连续地确定LWC,HS和雪水当量(SWE)。

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