Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4978077 | Environmental Modelling & Software | 2017 | 17 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Behnam Doulatyari, Andrea Betterle, Dirk Radny, Elisa Alessi Celegon, Pietro Fanton, Mario Schirmer, Gianluca Botter,