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Dataset

Velocity profile data from the Sävar River during ice-covered and open channel conditions

Cite as:

Polvi, Lina E.; Dietze, Michael; Lotsari, Eliisa; Turowski, Jens M.; Lind, Lovisa (2019): Velocity profile data from the Sävar River during ice-covered and open channel conditions. GFZ Data Services. http://doi.org/10.5880/GFZ.4.6.2019.003

Status

I   N       R   E   V   I   E   W : Polvi, Lina E.; Dietze, Michael; Lotsari, Eliisa; Turowski, Jens M.; Lind, Lovisa (2019): Velocity profile data from the Sävar River during ice-covered and open channel conditions. GFZ Data Services. http://doi.org/10.5880/GFZ.4.6.2019.003

Abstract

The file includes velocity data taken using an acoustic Doppler current profiler (ADCP) (Sontek M9 sensor) (Sontek, 2018) measured in March and June 2018 at the Sävar River, Sweden. The raw data are found in an Excel file and include the longitudinal flow speed (m/s) from each of the measured water depths. We have exported the data from RiverSurveyorLive software (https://www.sontek.com/softwaredetail.php?RiverSurveyor-LIVE-RSL-34#RSL) and cleaned the files to remove extra information, so that they include only the data we used in reported analyses.

These velocity profiles were taken within a larger project to examine differences in hydraulics and sediment transport during ice-covered and open channel flow conditions. Within this project, seismic signals of these geomorphic processes were recorded encompassing the velocity measurement periods (Dietze & Polvi 2019).

In winter (March 2018), the measurements were taken via holes drilled through the ice. The ‘moving boat’ method was applied in the RiverSurveyorLive software, but the sensor was kept static during the whole ~5-minute long measurement period in each hole. The velocity measurements for each hole are presented in separate Excel sheets in the file. During summer (June 2018), a similar method was ap-plied—the ADCP sensor was kept static for the same length of time in the same locations as the holes. Note that the winter measurements also had ice cover above them.

The starting depth was the depth under the ice-water interface during winter, and at the water-air interface during summer. In the file, the velocity measurement cell closest to the surface is in the column “Cell1 Spd”. This column title refers to the speed (i.e., velocity) in m/s, of the corresponding measurement cell number. “Cell1 loc” refers to the depth of the cell from the surface in meters. Similarly, the near-bed layer velocity is in the column “Cell Spd xx,” with the highest number for that measurement location. Each measure-ment time step is found on a new row. If there is #N/A written in the cell, or the cell is empty, it means that there is no data from the corresponding cell.

Contact

  • Polvi, Lina E.; Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden;

GCMD Science Keywords

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          • affiliation: Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden
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          • affiliation: Section Geomorphology, GFZ German Research Centre for Geosciences, Potsdam, Germany
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          • affiliation: Department of Geography and Geology, University of Turku, Turku, Finland
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          • affiliation: Department of Environmental and Life Sciences, Karlstad University, Karlstad, Sweden
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      • publisher: GFZ Data Services
      • publicationYear: 2019
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        • subject (schemeURI=http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords subjectScheme=NASA/GCMD Earth Science Keywords xml:lang=en): EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL PROCESSES > SEDIMENT TRANSPORT
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        • subject (schemeURI=http://gcmdservices.gsfc.nasa.gov/kms/concepts/concept_scheme/sciencekeywords subjectScheme=NASA/GCMD Earth Science Keywords xml:lang=en): EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > RIVERS/STREAMS
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      • Entry_Title: Velocity profile data from the Sävar River during ice-covered and open channel conditions
      • Data_Set_Citation
        • Dataset_Creator: Polvi, Lina E.; Dietze, Michael; Lotsari, Eliisa; Turowski, Jens M.; Lind, Lovisa
        • Dataset_Title: Velocity profile data from the Sävar River during ice-covered and open channel conditions
        • Dataset_Release_Date: 2019
        • Dataset_Release_Place: Potsdam, Germany
        • Dataset_Publisher: GFZ Data Services
        • Online_Resource: http://dx.doi.org/10.5880/GFZ.4.6.2019.003
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        • Term: GEOMORPHIC LANDFORMS/PROCESSES
        • Variable_Level_1: FLUVIAL PROCESSES
        • Variable_Level_2: SEDIMENT TRANSPORT
      • Parameters
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        • Topic: CRYOSPHERE
        • Term: SNOW/ICE
        • Variable_Level_1: RIVER ICE
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        • Topic: TERRESTRIAL HYDROSPHERE
        • Term: SNOW/ICE
        • Variable_Level_1: RIVER ICE
      • Parameters
        • Category: EARTH SCIENCE
        • Topic: TERRESTRIAL HYDROSPHERE
        • Term: SURFACE WATER
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      • Parameters
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        • Topic: TERRESTRIAL HYDROSPHERE
        • Term: SURFACE WATER
        • Variable_Level_1: DISCHARGE/FLOW
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        • Topic: TERRESTRIAL HYDROSPHERE
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      • Summary
        • Abstract: The file includes velocity data taken using an acoustic Doppler current profiler (ADCP) (Sontek M9 sensor) (Sontek, 2018) measured in March and June 2018 at the Sävar River, Sweden. The raw data are found in an Excel file and include the longitudinal flow speed (m/s) from each of the measured water depths. We have exported the data from RiverSurveyorLive software (https://www.sontek.com/softwaredetail.php?RiverSurveyor-LIVE-RSL-34#RSL) and cleaned the files to remove extra information, so that they include only the data we used in reported analyses. These velocity profiles were taken within a larger project to examine differences in hydraulics and sediment transport during ice-covered and open channel flow conditions. Within this project, seismic signals of these geomorphic processes were recorded encompassing the velocity measurement periods (Dietze & Polvi 2019). In winter (March 2018), the measurements were taken via holes drilled through the ice. The ‘moving boat’ method was applied in the RiverSurveyorLive software, but the sensor was kept static during the whole ~5-minute long measurement period in each hole. The velocity measurements for each hole are presented in separate Excel sheets in the file. During summer (June 2018), a similar method was ap-plied—the ADCP sensor was kept static for the same length of time in the same locations as the holes. Note that the winter measurements also had ice cover above them. The starting depth was the depth under the ice-water interface during winter, and at the water-air interface during summer. In the file, the velocity measurement cell closest to the surface is in the column “Cell1 Spd”. This column title refers to the speed (i.e., velocity) in m/s, of the corresponding measurement cell number. “Cell1 loc” refers to the depth of the cell from the surface in meters. Similarly, the near-bed layer velocity is in the column “Cell Spd xx,” with the highest number for that measurement location. Each measure-ment time step is found on a new row. If there is #N/A written in the cell, or the cell is empty, it means that there is no data from the corresponding cell.
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  • escidoc:  /  download xml
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      • creator
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        • givenName: Lina E.
        • familyName: Polvi
        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0002-6075-9890
        • affiliation: Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden
      • creator
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        • givenName: Michael
        • familyName: Dietze
        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0001-6063-1726
        • affiliation: GFZ German Research Centre for Geosciences, Potsdam, Germany
        • affiliation: Section Geomorphology, GFZ German Research Centre for Geosciences, Potsdam, Germany
      • creator
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        • givenName: Eliisa
        • familyName: Lotsari
        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0002-0120-8722
        • affiliation: Department of Geographical and Historical Studies, University of Eastern Finland, Joensuu, Finland
        • affiliation: Department of Geography and Geology, University of Turku, Turku, Finland
      • creator
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        • givenName: Jens M.
        • familyName: Turowski
        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0003-1558-0565
        • affiliation: GFZ German Research Centre for Geosciences, Potsdam, Germany
        • affiliation: Section Geomorphology, GFZ German Research Centre for Geosciences, Potsdam, Germany
      • creator
        • creatorName: Lind, Lovisa
        • givenName: Lovisa
        • familyName: Lind
        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0002-7212-8121
        • affiliation: Department of Environmental and Life Sciences, Karlstad University, Karlstad, Sweden

Location

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    License

    CC BY 4.0

    Dataset Description

    Supplement to