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DOI10.1002/esp.5809
The impacts of low flow, ice-cover and ice thickness on sediment load in a sub-arctic river - Modelling sediment transport with particle image velocimetry calibration data sets
Pajunen, Virpi; Lotsari, Eliisa; Valimaki, Juha-Matti; Wolff, Franziska; Karkkainen, Marko; Blafield, Linnea; Eltner, Anette
发表日期2024
ISSN0197-9337
EISSN1096-9837
起始页码49
结束页码6
卷号49期号:6
英文摘要Climate change will be pronounced in sub-arctic and arctic regions. Consequently, a shorter ice-cover period, increased precipitation and changes in the timing and magnitude of discharge are expected. These hydroclimatic changes can have an impact on sediment transport in northern rivers. Studying spatial and temporal variation of the processes in low-flow open-water and ice-covered conditions is crucial to improve the prediction of future changes. The investigation of under-ice conditions has been challenging and new approaches for their measurement are much needed. We analyse the spatial sediment transport in a meandering subarctic river during different flow conditions, i.e., low flow open-channel during autumn and ice-covered during winter. We use one-dimensional (1D) morphodynamic models with image-based sediment transportation data sets. We also simulate sediment transport with different ice thicknesses to better understand the overall bedload transport in a subarctic river in mid-winter conditions.Simulations for the studied meander bend showed a considerable flow-driven decrease of sediment transport in ice-covered conditions when compared to open-water conditions. Erosion was more pronounced in open-water conditions and deposition was the prevailing process in ice-covered conditions. When an additional increase in ice thickness was simulated, bedload increased, because the thicker ice narrowed the river channel substantially and thus leading to an increase in flow velocity and shear forces. Instead of solely relying on the sediment samples, the additional consideration of an image-based sediment data set enabled a more reliable model calibration in ice-covered conditions. This encourages further usage of image-based methods for sediment transport estimations, especially in ice-covered conditions. In the future, changes in river-ice can be expected to decrease under-ice sediment load but increase annual open-water sediment loads. The increasing summative sediment transport of small arctic and subarctic rivers can have significant consequences on the downstream waterbodies. Image-based river sediment transport simulations show a significant decrease in flow velocity and sediment load in ice-covered river conditions compared to open-water low-flow conditions. When an additional increase in ice thickness was simulated, bedload increased because the thicker ice narrowed the river channel substantially. This leads to an increase in flow velocity and shear forces causing more erosion. image
英文关键词Finland; ice-covered flow; image processing; modelling; sediment transport; subarctic
语种英语
WOS研究方向Physical Geography ; Geology
WOS类目Geography, Physical ; Geosciences, Multidisciplinary
WOS记录号WOS:001184478100001
来源期刊EARTH SURFACE PROCESSES AND LANDFORMS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/306016
作者单位University of Eastern Finland; Aalto University; University of Turku; Technische Universitat Dresden; Aalto University
推荐引用方式
GB/T 7714
Pajunen, Virpi,Lotsari, Eliisa,Valimaki, Juha-Matti,et al. The impacts of low flow, ice-cover and ice thickness on sediment load in a sub-arctic river - Modelling sediment transport with particle image velocimetry calibration data sets[J],2024,49(6).
APA Pajunen, Virpi.,Lotsari, Eliisa.,Valimaki, Juha-Matti.,Wolff, Franziska.,Karkkainen, Marko.,...&Eltner, Anette.(2024).The impacts of low flow, ice-cover and ice thickness on sediment load in a sub-arctic river - Modelling sediment transport with particle image velocimetry calibration data sets.EARTH SURFACE PROCESSES AND LANDFORMS,49(6).
MLA Pajunen, Virpi,et al."The impacts of low flow, ice-cover and ice thickness on sediment load in a sub-arctic river - Modelling sediment transport with particle image velocimetry calibration data sets".EARTH SURFACE PROCESSES AND LANDFORMS 49.6(2024).
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