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Sci Total Environ. 2018 Jan 15;612:303-312. doi: 10.1016/j.scitotenv.2017.08.142. Epub 2017 Sep 01.

Spatial modeling of sediment transfer and identification of sediment sources during snowmelt in an agricultural watershed in boreal climate.

The Science of the total environment

Carlos Gonzales-Inca, Pasi Valkama, Jan-Olof Lill, Joakim Slotte, Eila Hietaharju, Risto Uusitalo

Affiliations

  1. Department of Geography and Geology, University of Turku, Finland. Electronic address: [email protected].
  2. The Water Protection Association of The River Vantaa and Helsinki Region, Finland.
  3. Accelerator Laboratory, Turku PET Centre, Åbo Akademi University, FI-20500 Turku, Finland.
  4. Physics, Faculty of Science and Engineering, Åbo Akademi University, FI-20500 Turku, Finland.
  5. Department of Geography and Geology, University of Turku, Finland.
  6. Natural Resources Institute Finland (LUKE), 31600 Jokioinen, Finland.

PMID: 28850850 DOI: 10.1016/j.scitotenv.2017.08.142

Abstract

Sediment transfer patterns during snowmelt were studied in a small Finnish agricultural watershed. Erosion rates were high as a consequence of high runoff volumes over saturated soil that partly lacked vegetation cover. Automatic high-frequency monitoring data of sediment and phosphorus concentrations in stream showed a clock-wise hysteresis loop as a dominant pattern. GIS-based modeling of runoff and soil erosion, using LiDAR DTM data, suggested that runoff and erosion mostly came from cropland that had the highest sediment contribution index. Also sediment fingerprinting with Cesium-137 suggested cropland and stream bank were the most important sources of suspended sediments in streams. Because a major part of annual sediment transfer takes place during snowmelt, it is a critical period for annual losses of pollutants. Management practices that minimize springtime sediment and pollutant losses from cropland would be needed to make a marked impact on annual pollution transfer to stream waters.

Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords: GIS; Hysteresis; LiDAR DTM; Phosphorus; Sediment fingerprinting; Snowmelt; Soil erosion

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