摘要
通过对北江流域的自然地理条件和枯季水文特征的分析,采用一种以多元线性回归方法为基础的一种黑箱模型——径流线性响应模型,假设流域符合叠加原理,以降雨、径流作为输入、输出,用最小二乘法率定参数,对石角站实测旬径流进行了模拟和预报,模型取得了令人满意的结果。
Based on the analyses of the natural geographical conditions and the hydrological characteristics of Beijiang River catchment in lowwater season,a blacktank modellinear response model builded on a multivariate linear regression method is used to simulate and predict the tendays runoff at Shijiao station. In the experiment, the parameters are determined through the least squares method.The simulated results agree quite well with the observational results.
出处
《中山大学学报(自然科学版)》
CAS
CSCD
北大核心
1998年第1期118-121,共4页
Acta Scientiarum Naturalium Universitatis Sunyatseni
关键词
线性响应模型
中期预报
枯水预报
linear response model,middleterm forecast,lowwater season,Beijiang River