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Forskningsartikel - Refereegranskat, 2019

Accuracy of crowdsourced streamflow and stream level class estimates

Strobl, Barbara; Etter, Simon; van Meerveld, Ilja; Seibert, Jan

Sammanfattning

Streamflow data are important for river management and the calibration of hydrological models. However, such data are only available for gauged catchments. Citizen science offers an alternative data source, and can be used to estimate streamflow at ungauged sites. We evaluated the accuracy of crowdsourced streamflow estimates for 10 streams in Switzerland by asking citizens to estimate streamflow either directly, or based on the estimated width, depth and velocity of the stream. Additionally, we asked them to estimate the stream level class by comparing the current stream level with a picture that included a virtual staff gauge. To compare the different estimates, the stream level class estimates were converted into streamflow. The results indicate that stream level classes were estimated more accurately than streamflow, and more accurately represented high and low flow conditions. Based on this result, we suggest that citizen science projects focus on stream level class estimates instead of streamflow estimates.

Nyckelord

citizen science; crowdsourcing; stream level; stream level class; streamflow; accuracy; CrowdWater

Publicerad i

Hydrological Sciences Journal
2019, Volym: 65, nummer: 5, sidor: 823–841
Utgivare: TAYLOR & FRANCIS LTD

    UKÄ forskningsämne

    Oceanography, Hydrology, Water Resources

    Publikationens identifierare

    DOI: https://doi.org/10.1080/02626667.2019.1578966

    Permanent länk till denna sida (URI)

    https://res.slu.se/id/publ/100120