DOI: 10.5194/hess-21-4895-2017
Scopus记录号: 2-s2.0-85030571884
论文题名: Information content of stream level class data for hydrological model calibration
作者: Ilja Van Meerveld H ; J ; , Vis M ; J ; P ; , Seibert J
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 9 起始页码: 4895
结束页码: 4905
语种: 英语
Scopus关键词: Climate models
; Hydrology
; Time series
; Hydrological model calibrations
; Hydrological modeling
; Information contents
; Model calibration
; Observation systems
; Streamflow records
; Streamflow simulations
; Vertical resolution
; Stream flow
; calibration
; gauge
; hydrological modeling
; performance assessment
; simulation
; spatial distribution
; streamflow
; tide gauge
; time series
英文摘要: Citizen science can provide spatially distributed data over large areas, including hydrological data. Stream levels are easier to measure than streamflow and are likely also observed more easily by citizen scientists than streamflow. However, the challenge with crowd based stream level data is that observations are taken at irregular time intervals and with a limited vertical resolution. The latter is especially the case at sites where no staff gauge is available and relative stream levels are observed based on (in)visible features in the stream, such as rocks. In order to assess the potential value of crowd based stream level observations for model calibration, we pretended that stream level observations were available at a limited vertical resolution by transferring streamflow data to stream level classes. A bucket-type hydrological model was calibrated with these hypothetical stream level class data and subsequently evaluated on the observed streamflow records. Our results indicate that stream level data can result in good streamflow simulations, even with a reduced vertical resolution of the observations. Time series of only two stream level classes, e.g. above or below a rock in the stream, were already informative, especially when the class boundary was chosen towards the highest stream levels. There was some added value in using up to five stream level classes, but there was hardly any improvement in model performance when using more level classes. These results are encouraging for citizen science projects and provide a basis for designing observation systems that collect data that are as informative as possible for deriving model based streamflow time series for previously ungauged basins. © 2017 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79041
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography, University of Zurich, Zurich, Switzerland; Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Recommended Citation:
Ilja Van Meerveld H,J,, Vis M,et al. Information content of stream level class data for hydrological model calibration[J]. Hydrology and Earth System Sciences,2017-01-01,21(9)