SCE-UA方法在新安江模型参数优化中的应用(英文)

Application of SCE-UA Method for Calibrating the Xinanjiang Watershed Model

以前在使用新安江模型时人们遇到的最大困难可归因于缺乏有效的参数全局优化的数学方法 .事实上对于一个缺乏经验的人来说 ,模型参数的人工试错计算的过程是一个相当不容易的过程 ,并且耗时颇多 .为此 ,近些年来研究者们正在探索把概念性水文模型中的专家经验与自动优化计算相结合的方法或者数学优化中的全局优化方法 ,如SEC UA方法 .本文首先简述新安江模型 ,而后采用 3个大小和气候条件各不相同的流域对SCE UA算法就在新安江模型计算的参数优化进行了研究 .研究结果表明 ,SCE UA算法用来进行新安江模型的参数优化所取得的效果是好的 .从率定和检验的结果来看 ,SCE UA算法可以使得率定的新安江模型的参数达到全局最优并且从概念上也合理 .

The difficulties involved in manually calibrating the Xinanjiang watershed model have, in the past been partly attributable to the lack of robust optimization tools. In fact manual calibration process can be a rather frustrating and time consuming exercise for an inexperienced person. Therefore, in recent years, researchers are exploring ways to incorporate 'expert knowledge' of conceptual watershed models into the automatic calibration procedures. This paper presents a brief introduction to the Xinanjiang model and a research work on application of SCE UA method for calibrating Xinanjiang watershed model using hydrological data of three catchments of different size and climatic conditions. Results show that the overall performance of SCE UA method for calibrating the Xinanjiang model is very good. On the basis of the results derived from the calibration and verification stages, it seems that SCE UA is capable of finding a global optimum and conceptually realistic parameter set for the Xinanjiang model.