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Field measurement study on snow accumulation process around a cube during snowdrift

  • Wenyong Ma (State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University) ;
  • Sai Li (School of Civil Engineering, Shijiazhuang Tiedao University) ;
  • Xuanyi Zhou (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University) ;
  • Yuanchun Sun (China Railway Design Corporation) ;
  • Zihan Cui (School of Civil Engineering, Shijiazhuang Tiedao University) ;
  • Ziqi Tang (Shijiazhuang No.2 High School)
  • Received : 2021.11.07
  • Accepted : 2023.04.20
  • Published : 2023.07.25
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Abstract

Due to the complexity and difficulty in meeting the multiphase flow complexity, similarity, and multiscale characteristics, the mechanism of snow drift is so complicated that the snow deposition prediction is still inaccurate and needs to be far improved. Meanwhile, the validation of prediction methods is also limited due to a lack of field-measured data about snow deposition. To this end, a field measurement activity about snow deposition around a cube with time was carried out, and the snow accumulation process was measured under blowing snow conditions in northwest China. The maximum snow depth, snow profile, and variation in snow depth around the cube were discussed and analyzed. The measured results indicated three stages of snow accumulation around the cube. First, snow is deposited in windward, lateral and leeward regions, and then the snow depth in windward and lateral regions increases. Secondly, when the snow in the windward region reaches its maximum, the downwash flow erodes the snow against the front wall. Meanwhile, snow range and depth in lateral regions have a significant increase. Thirdly, a narrow road in the leeward region is formed with the increase in snow range and depth, which results in higher wind speed and reforming snow deposition there. The field measurement study in this paper not only furthers understanding of the snow accumulation process instead of final deposition under complex conditions but also provides an important benchmark for validating prediction methods.

Keywords

Acknowledgement

The study conducted for this paper was supported by the Natural Science Foundation (Grant No. 52278511) and the Natural Science Foundation of Hebei Province (Grant No. E2021210053).

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