Spatial modeling of sediment transfer and identification of sediment sources during snowmelt in an agricultural watershed in boreal climate
← TakaisinTekijä | Gonzales-Inca, C. ; Valkama, P. ; Lill, J-O.; Slotte, J.; Hietaharju, E. ; Uusitalo, R. |
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Sarja | Science of the Total Environment |
DOI/ISBN-numero | 10.1016/j.scitotenv.2017.08.142 |
Päivämäärä | 2018 |
Avainsanat | DTM, GIS, hysteresis, LiDAR, phosphorus, Sediment fingerprinting, Snowmelt, soil erosion |
Rahoitus | Maj ja Tor Nessling Säätiö, Maa-ja vesitekniikan tuki ry., Svenska kulturfonden |
Sivut | s. 303-312 |
Volyymi | Vol 612 (2018) |
Kieli | englanti |
Saatavuus | Spatial modeling of sediment transfer and identification of sediment sources during snowmelt in an agricultural watershed in boreal climate |
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-frequencymonitoring 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 DTMdata, suggested that runoff and erosion mostly camefromcropland 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.