Quantifying snow drift on Arctic structures: A case study at Summit, Greenland, using UAV-based structure-from-motion photogrammetry
Quantifying snow drift on Arctic structures: A case study at Summit, Greenland, using UAV-based structure-from-motion photogrammetry
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量化北极结构上的积雪:格陵兰峰会的案例研究,使用基于无人机的结构运动摄影测量
DOI:
10.1016/j.coldregions.2018.10.007
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发表时间:
2019
影响因子:
4.1
通讯作者:
Millstein, Joanna D.
中科院分区:
文献类型:
--
作者:
Hawley, Robert L.;Millstein, Joanna D.
Designing a building for polar stations involves countless cost-benefit trade-offs. One critical decision for planners is whether to elevate structures or place them on the snow surface. For planners wishing to minimize the impact of drifting, elevated structures are generally more desirable, with the tradeoff of added construction cost. Surface-based structures are less expensive to construct, but accumulate drift more rapidly than their elevated counterparts, thus incurring an added recurring expense of snow removal. To estimate this added cost, we quantified the volume of snow drifted on several structures at Summit, Greenland, using structure-from-motion photogrammetry from a small UAV. We find that while the elevated “Bighouse” accumulated negligible drift, the surface-based “Greenhouse” accumulated 4862 ±444 m3of snow. We then use estimates of equipment efficiency at snow removal coupled with equipment operating cost to determine the time and cost of snow removal (69 ± 6 h for the Greenhouse). Finally, we analyze a 10-year record of winds from Summit, and estimate the total amount of snow drifted on the structures in any given year. We estimate that the Greenhouse at Summit accumulates an average of 11,702 m3of snow per year, and that clearing that snow costs an average of $41,000 per year. The expense of snow removal for surface-based structures should be factored into the total lifetime cost of the building, making elevated structures much more cost-competitive than they may initially appear.
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