Seamless Integration of Rainfall Spatial Variability and a Conceptual Hydrological Model
| Autor: | Yan Zhou, Kai Wang, Binquan Li, Zhongmin Liang, Huang Yixin, Yiming Hu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
010504 meteorology & atmospheric sciences
Meteorology 0208 environmental biotechnology Geography Planning and Development TJ807-830 02 engineering and technology Inflow Management Monitoring Policy and Law stochastic differential equation TD194-195 01 natural sciences Renewable energy sources Stochastic differential equation Component (UML) GE1-350 0105 earth and related environmental sciences Environmental effects of industries and plants Renewable Energy Sustainability and the Environment statistical rainfall-runoff model 020801 environmental engineering Exponential function Environmental sciences rainfall spatial variability vertically mixed runoff model Environmental science Spatial variability Surface runoff Flow routing |
| Zdroj: | Sustainability, Vol 13, Iss 3588, p 3588 (2021) Sustainability Volume 13 Issue 6 |
| ISSN: | 2071-1050 |
| Popis: | Rainfall is an important input to conceptual hydrological models, and its accuracy would have a considerable effect on that of the model simulations. However, traditional conceptual rainfall-runoff models commonly use catchment-average rainfall as inputs without recognizing its spatial variability. To solve this, a seamless integration framework that couples rainfall spatial variability with a conceptual rainfall-runoff model, named the statistical rainfall-runoff (SRR) model, is built in this study. In the SRR model, the exponential difference distribution (EDD) is proposed to describe the spatial variability of rainfall for traditional rain gauging stations. The EDD is then incorporated into the vertically mixed runoff (VMR) model to estimate the statistical runoff component. Then, the stochastic differential equation is adopted to deal with the flow routing under stochastic inflow. To test the performance, the SRR model is then calibrated and validated in a Chinese catchment. The results indicate that the EDD performs well in describing rainfall spatial variability, and that the SRR model is superior to the Xinanjiang model because it provides more accurate mean simulations. The seamless integration framework considering rainfall spatial variability can help build a more reasonable statistical rainfall-runoff model. |
| Databáze: | OpenAIRE |
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