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DOI10.5194/hess-24-1319-2020
Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: The case study of the Thur catchment
Dal Molin M.; Schirmer M.; Zappa M.; Fenicia F.
发表日期2020
ISSN1027-5606
起始页码1319
结束页码1345
卷号24期号:3
英文摘要This study documents the development of a semidistributed hydrological model aimed at reflecting the dominant controls on observed streamflow spatial variability. The process is presented through the case study of the Thur catchment (Switzerland, 1702 km2), an alpine and prealpine catchment where streamflow (measured at 10 subcatchments) has different spatial characteristics in terms of amounts, seasonal patterns, and dominance of baseflow. In order to appraise the dominant controls on streamflow spatial variability and build a model that reflects them, we follow a two-stage approach. In a first stage, we identify the main climatic or landscape properties that control the spatial variability of streamflow signatures. This stage is based on correlation analysis, complemented by expert judgement to identify the most plausible cause-effect relationships. In a second stage, the results of the previous analysis are used to develop a set of model experiments aimed at determining an appropriate model representation of the Thur catchment. These experiments confirm that only a hydrological model that accounts for the heterogeneity of precipitation, snow-related processes, and landscape features such as geology produces hydrographs that have signatures similar to the observed ones. This model provides consistent results in space-time validation, which is promising for predictions in ungauged basins. The presented methodology for model building can be transferred to other case studies, since the data used in this work (meteorological variables, streamflow, morphology, and geology maps) are available in numerous regions around the globe. © 2020 Author(s).
语种英语
scopus关键词Catchments; Climate models; Geology; Runoff; Cause-effect relationships; Correlation analysis; Hydrological modeling; Landscape properties; Meteorological variables; Predictions in ungauged basins; Semi distributed hydrological models; Spatial characteristics; Stream flow; baseflow; hydrograph; hydrological modeling; seasonal variation; spatial variation; spatiotemporal analysis; streamflow
来源期刊Hydrology and Earth System Sciences
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/159467
作者单位Dal Molin, M., Department Systems Analysis Integrated Assessment and Modelling, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland, Centre of Hydrogeology and Geothermics (CHYN), University of Neuchâtel, Neuchâtel, 2000, Switzerland, Department of Water Resources and Drinking Water, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland; Schirmer, M., Centre of Hydrogeology and Geothermics (CHYN), University of Neuchâtel, Neuchâtel, 2000, Switzerland, Department of Water Resources and Drinking Water, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland; Zappa, M., Hydrological Forecast, Swiss Federal Research Institute WSL, Birmensdorf, 8903, Switzerland; Fenicia, F., Department Systems Analysis Integrated Assessment and Modelling, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland
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Dal Molin M.,Schirmer M.,Zappa M.,et al. Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: The case study of the Thur catchment[J],2020,24(3).
APA Dal Molin M.,Schirmer M.,Zappa M.,&Fenicia F..(2020).Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: The case study of the Thur catchment.Hydrology and Earth System Sciences,24(3).
MLA Dal Molin M.,et al."Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: The case study of the Thur catchment".Hydrology and Earth System Sciences 24.3(2020).
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