Predicting streamflow distributions and flow duration curves from landscape and climate |
| |
| Institution: | 1. EAWAG Swiss Federal Institute of Aquatic Science and Technology, Department of Water Resources and Drinking Water, Duebendorf, Switzerland;2. University of Neuchâtel, The Centre of Hydrogeology and Geothermics (CHYN), Neuchâtel, Switzerland;3. University of Padova, Department ICEA and International Center for Hydrology “Dino Tonini”, Padua, Italy;4. Indian Institute of Technology Hyderabad, Department of Civil Engineering, Hyderabad, India |
| |
| Abstract: | Characterizing the probability distribution of streamflows in catchments lacking in discharge measurements represents an attractive prospect with consequences for practical and scientific applications, in particular water resources management. In this paper, a physically-based analytic model of streamflow dynamics is combined with a set of water balance models and a geomorphological recession flow model in order to estimate streamflow probability distributions based on catchment-scale climatic and morphologic features. The models used are described and the novel parameterization approach is elaborated on. Starting from rainfall data, potential evapotranspiration and digital terrain maps, the method proved capable of capturing the statistics of observed streamflows reasonably well in 11 test catchments distributed throughout the United States, east of the rocky mountains. The method developed offers a unique approach for estimating probability distribution of streamflows where only climatic and geomorphologic features are known. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
