摘要
根据嫩江干流尼尔基水文站1955—1973年天然日径流资料,采用Eckhardt递归数字滤波算法进行地下径流分割计算.在径流分割过程中,对于滤波方程主要参数最大地下径流指数IGF,max的率定,本文首次提出了滑动最小值试算法.计算结果表明:嫩江流域尼尔基水文站地下径流指数IGF约为0.66,其中枯水期IGF约为0.88,丰水期IGF约为0.64.
Groundwater flow separation is fundamental in runoff forecasting, water resources assessment and management of water resources. It plays an important role in production and living water supply, water conservancy construction, pollution assessment, rainfall-runoff relationship modeling and flood/drought relief. In this paper, daily runoff data （1955 1973） at Nierji hydrological station was used for Eckhardt recursive digital filter algorithm in groundwater flow separating calculation. In the separation process, parameter IGF,max of filtering equation was estimated by minimum smoothing method, which was first put forward in this paper. Calculation showed that in the study area, groundwater flow index （IGF） was 0. 66, which was 0. 88 in dry season, and 0.64 in wet season.
出处
《北京师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第6期631-635,共5页
Journal of Beijing Normal University(Natural Science)
基金
吉林省科技厅应用基础资助项目(2011-05013)
关键词
递归数字滤波
地下径流分割
滑动最小值
嫩江流域
recursive digital filtering
groundwater flow separation
minimum smoothing method
Nenjiang river basin
