CAJ | 학술논문

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.
근거눈강간류니이기수문참1955-1973년천연일경류자료,채용 Eckhardt 체귀수자려파산법진행지하경류분할계산.재경류분할과정중,대우려파방정주요삼수최대지하경류지수IGF,max적솔정,본문수차제출료활동최소치시산법.계산결과표명：눈강류역니이기수문참지하경류지수 IGF약위0.66,기중고수기 IGF약위0.88,봉수기 IGF약위0.64.
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.