关于新安江模型河网蓄水消退系数规律的建议  

New approach to synthesization of recession coefficients in Xinanjiang model

作　　者：陆旻皎 

机构地区：[1]长冈技术科学大学环境与建设系,日本新潟县

出　　处：《水力发电学报》2016年第9期1-6,共6页Journal of Hydroelectric Engineering

摘　　要：为了探讨新安江模型汇流参数中河网蓄水消退系数规律，本文从线性水库理论出发得到消退系数和蓄泄系数的关系，明确消退系数是反映流域特征的蓄泄系数和计算时段长度的函数。并在此基础上讨论了时段长度过长、时段内入流分布可能带来的不确定性。对于日降雨一径流分析很难求得的河网蓄水消退系数，本文提出了通过蓄泄系数参数规律来间接推求河网蓄水消退系数的新方法。以极简单的Simas公式为例探讨其地理因子的适用性，发现即使是这样简单的公式也可以得到较高的精度。面积在100～3000km2的13个流域的时消退系数的平均误差为0．005，标准偏差为0．022。有了这样的思路，我们可以借鉴地表水汇流特性研究工作的庞大知识积累，研究各种地理因子及水力因子的更有综合代表性组合条件下的河网蓄水消退系数。To synthesize recession coefficients in the Xinanjiang model, this paper presents a relationship of the coefficients versus the time interval and storage coefficient for linear reservoirs based on the linear reservoir theory, and discusses potential uncertainties due to longer time intervals and input variability within the intervals. For the recession coefficient of channel water, which is very difficult to calibrate in daily rainfall-runoff analysis, a new approach is adopted to replace its direct calibration by synthesizing the storage coefficients of linear reservoirs. Results show that the new approach is very successful in the estimation of the hourly recession coefficients of 13 small basins of areas in the range of 100 to 3000 square kilometers and has achieved their values with an average error of 0.005 and a standard deviation of 0.022. This approach allows a new way to synthesize the recession coefficients in the Xinanjiang model based on vast previous studies about fiver concentration.

关 键 词：新安江模型 汇流参数 消退系数 线性水库 蓄泄系数 不确定性 参数规律 

分 类 号：P333.2[天文地球—水文科学]