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The effect of estimating areal rainfall using self‐similarity topography method on the simulation accuracy of runoff prediction
Authors:An‐Ming Bao  Hai‐Long Liu  Xi Chen  Xiang‐liang Pan
Affiliation:1. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, P. R. China.;2. Water Resources and Architectural Engineering College of Shihezi University, Shihezi 832003, P. R. China;3. Xinjiang Key Laboratory of Water Cycle and Utilization in Arid zone, Chinese Academy of Sciences, Urumqi 830011, P. R. China
Abstract:Rainfall input for hydrologic modelling is assumed uniformly distributed over the entire catchment. This can lead to significant errors. Investigations of areal rainfall in mountain areas are typically limited by a lack of adequate meteorological and hydrogeological records. This study focuses on areal rainfall in mountain areas within the Kaidu River Basin, China, with the aim of analyzing the influence of areal rainfall on the simulation accuracy of runoff prediction. We conducted a simulation using MIKE 11/NAM rainfall‐runoff model over 92 days of the rain season and compared the simulation error in different methods. On the basis of properties of self‐similarity degree (SSD) in analyzing the detailed characteristics of terrain, areal rainfall was calculated to model the runoff. The results of the model simulations are generally consistent with observed data, indicating that the self‐similarity topography method is able to reflect the spatial change of rainfall. This indicates that the proposed methodology is applicable for the management of water resources in mountain area. The modelling and self‐similarity topography method study allowed quantification of the spatial rainfall and provided an insight into their implications in hydrological forecasting. Copyright © 2011 John Wiley & Sons, Ltd.
Keywords:areal rainfall  NAM model  rainfall runoff  self‐similarity degree
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