Projects per year
Abstract
The spatial variation of river-ice thickness in three contiguous meandering bends was determined via ground-penetrating radar technology and traditional borehole measurements. Applying high-frequency GPR enables detailed surveying of the variation in river-ice thickness and the boundary of floating and grounded (i.e., bottom-fast) ice in a relatively large area. Extensive verification of river-ice thickness based on GPR profiling was performed by comparing the radar data with ground truth ice thickness measurements. This revealed that the GPR method is suitable for river-ice thickness calculation with a mean absolute error of ± 3 cm, equivalent to 5% mean percentage error in the case of 50-centimeter-thick ice, although snow cover on top of the ice or a possibly non-homogeneous ice surface reduces GPR measurement accuracy and the usability of the method for detailed ice-thickness measurements. The ice-thickness variation in a meandering river was observed to be quite large, with the maximum difference of 32 cm in mean ice thickness between cross sections. However, the observed mean ice thickness yielded a reasonable match with the theoretical mean thickness calculated with a widely used analytical ice-thickness growth equation. The vertically averaged flow velocities measured with an acoustic Doppler current profiler and bottom depths were surveyed from 148 boreholes, which enables discussing the influence of flow velocity and river morphology on the ice thickness's variation.
Original language | English |
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Pages (from-to) | 17-29 |
Number of pages | 13 |
Journal | Cold Regions Science and Technology |
Volume | 137 |
DOIs | |
Publication status | Published - 1 May 2017 |
MoE publication type | A1 Journal article-refereed |
Keywords
- ADCP
- bottom-fast ice
- flow velocity
- GPR
- river ice thickness
- Stefan's equation
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Dive into the research topics of 'Spatial variation of river-ice thickness in a meandering river'. Together they form a unique fingerprint.Projects
- 2 Finished
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Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing Point Cloud Ecosystem
Hyyppä, H. (Principal investigator), Julin, A. (Project Member), Aho, S. (Project Member), Ahlavuo, M. (Project Member), Ingman, M. (Project Member), Kurkela, M. (Project Member), Siirala, H. (Project Member), Luhtala, L. (Project Member), Maksimainen, M. (Project Member), Gullmets, H. (Project Member), Nuikka, M. (Project Member), Sarlin, M. (Project Member), Handolin, H. (Project Member), Jaalama, K. (Project Member), El-Mahgary, S. (Project Member) & Vaaja, M. T. (Project Member)
01/01/2018 → 31/07/2021
Project: Academy of Finland: Strategic research funding
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CoE - LaSR: Centre of Excellence in Laser Scanning Research
Nieminen, J. (Project Member), Vaaja, M. T. (Project Member), Laitala, A. (Project Member), Julin, A. (Project Member), Maksimainen, M. (Project Member), Hyyppä, H. (Principal investigator), Rönnholm, P. (Project Member), Junttila, S. (Project Member), Puustinen, T. (Project Member), Haggren, H. (Project Member), Ala-Ketola, M. (Project Member), Lehtola, V. (Project Member), Aho, S. (Project Member), Ståhle, P. (Project Member), Kasvi, E. (Project Member), Kurkela, M. (Project Member), Ingman, M. (Project Member), Rantanen, T. (Project Member), Torkkel, A. (Project Member), Jaalama, K. (Project Member), Talvela, J. (Project Member), Handolin, H. (Project Member), Ahlavuo, M. (Project Member), El-Mahgary, S. (Project Member), Viitanen, K. (Project Member) & Virtanen, J.-P. (Project Member)
01/01/2014 → 31/12/2019
Project: Academy of Finland: Other research funding