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• W2595241444 abstract "A modeling framework for point-wise prediction of the probability density function and flow duration curve of streamflows along complex river networks is presented. The predictions are based on catchment-scale climatic and morphological features, without calibration on observed discharge time-series. The framework was applied to a test basin in north-eastern Switzerland, and relevant flow statistics were validated at six sub-catchment outlets with satisfactory results. Spatial patterns of flow regime exhibit a strong climatic signature, mostly driven by reduced rainfall depths and increasing effective rainfall frequency in the downstream areas. The increasing non-linearity of the catchment response with contributing area is reflected by the observed increase in the recession parameters along the main river channel. This framework offers a novel approach for assessing the spatial patterns of streamflows based on limited information, which is important for evaluation of human and ecological functions in riverine systems." @default.
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• W2595241444 date "2017-07-01" @default.
• W2595241444 modified "2023-10-18" @default.
• W2595241444 title "Patterns of streamflow regimes along the river network: The case of the Thur river" @default.
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• W2595241444 doi "https://doi.org/10.1016/j.envsoft.2017.03.002" @default.
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