水资源保护2016，Vol.32Issue(2)：41-44,4.DOI:10.3880/j.issn.1004-6933.2016.02.009
下垫面要素变化对径流影响的多元统计分析
Multivariate statistical analysis of influence of underlying surface change on runoff
摘要
Abstract
In order to improve the accuracy of the basin’ s runoff prediction and increase the efficiency of operation of hydropower stations, the control catchment of the Xiaowan Hydropower Station was selected as a study area. Based on landuse data from the years1986 , 1995 , and 2000 taken from remote sensing satellites and multi-year data of reservoir inflow of the Xiaowan Hydropower Station, with the runoff coefficient used as the dependent variable, and arable land, forest land, building land, and other underlying surface factors as independent variables, the regression relation between the underlying surface factors and the runoff coefficient was analyzed with the SPSS regression model and a non-linear regression model.With consideration of the influence of the rainfall in the previous year on the runoff in the following year, the method of rainfall-runoff simulation was adopted.The three methods were used to simulate the runoff coefficient.The results show that the non-linear regression model fits the runoff coefficient better than the other two models, and it can be applied to the prediction of runoff and enhancement of the utilization of hydropower in medium and small-sized basins.关键词
下垫面变化/径流系数/线性回归/非线性回归/降雨径流Key words
underlying surface change/runoff coefficient/linear regression/non-linear regression/rainfall-runoff分类
天文与地球科学引用本文复制引用
刘俊,尹洋洋,沙晓军,马箐,高颖会..下垫面要素变化对径流影响的多元统计分析[J].水资源保护,2016,32(2):41-44,4.基金项目
国家自然科学基金 （）
