A1 Refereed original research article in a scientific journal
Variable Physical Drivers of Near-Surface Turbulence in a Regulated River
Authors: Guseva S, Aurela M, Cortes A, Kivi R, Lotsari E, MacIntyre S, Mammarella I, Ojala A, Stepanenko V, Uotila P, Vähä A, Vesala T, Wallin MB, Lorke A
Publisher: AMER GEOPHYSICAL UNION
Publication year: 2021
Journal: Water Resources Research
Journal name in source: WATER RESOURCES RESEARCH
Journal acronym: WATER RESOUR RES
Article number: ARTN e2020WR027939
Volume: 57
Issue: 11
Number of pages: 27
ISSN: 0043-1397
eISSN: 1944-7973
DOI: https://doi.org/10.1029/2020WR027939
Self-archived copy’s web address: http://research.utu.fi/converis/portal/detail/Publication/68553730
Inland waters, such as lakes, reservoirs and rivers, are important sources of climate forcing trace gases. A key parameter that regulates the gas exchange between water and the atmosphere is the gas transfer velocity, which itself is controlled by near-surface turbulence in the water. While in lakes and reservoirs, near-surface turbulence is mainly driven by atmospheric forcing, in shallow rivers and streams it is generated by bottom friction of gravity-forced flow. Large rivers represent a transition between these two cases. Near-surface turbulence has rarely been measured in rivers and the drivers of turbulence have not been quantified. We analyzed continuous measurements of flow velocity and quantified turbulence as the rate of dissipation of turbulent kinetic energy over the ice-free season in a large regulated river in Northern Finland. Measured dissipation rates agreed with predictions from bulk parameters, including mean flow velocity, wind speed, surface heat flux, and with a one-dimensional numerical turbulence model. Values ranged from ~10-10m2s-3 to 10-5m2s-3. Atmospheric forcing or gravity was the dominant driver of near-surface turbulence for similar fraction of the time. Large variability in near-surface dissipation rate occurred at diel time scales, when the flow velocity was strongly affected by downstream dam operation. By combining scaling relations for boundary-layer turbulence at the river bed and at the air-water interface, we derived a simple model for estimating the relative contributions of wind speed and bottom friction of river flow as a function of depth.
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