Fukada Mitsuo
Affiliate Master
Yamaguchi University
Analysis of hydrologic characteristics applying to the filter separation AR method and the hourly rainfall components are inversely estimated from the ARX model from runoff data.
Bulletin of the Faculty of Agriculture, Yamaguchi University Volume 41
Page 37-51
published_at 1993-12
Title
流量時系列からフィルター分離AR法で推定した流域流出特性と逆探法ARXモデルにうよる降雨時系列
Analysis of hydrologic characteristics applying to the filter separation AR method and the hourly rainfall components are inversely estimated from the ARX model from runoff data.
Creators
Hayakawa Seiji
Creators
Suzuki Yoshinori
Creators
Kusaka Taturo
Creators
Tani Hiroshi
Creators
Harada Mikisuke
Source Identifiers
Creator Keywords
autoregressive method
filter separation
hydrograph
inversely method
runoff
The purpose of this paper is to separate the total severe rainfall runoff into runoff components of overland flow, interflow and groundwater flow. The cut-off frequency to separate the total runoff time series into component runoff was determined by the slope of the semi-logarithmic plots of the recession curve. Time series of hourly runoffs are separated into components of surface flow, inter-flow and groundwater flow by numerical filters whose cut-off infrequencies are determined from the order of magnityde comparison of AR (autoregressive) coefficients of runoff data. Coefficients of the autoregressive moving average model applied to each of the subsystems were determined by the least-squares criterion from the recession period data. Time series of hourly rainfalls can be inversely estimated from hourly runoff by this method and it is consistant well with the observed effective precipotation time series. The estimated time series of rainfalls agree relatively well with the real rainfall data. It is clear that the filter separation AR method constitutes a flood system with higher accuracy than other methods.
Languages
jpn
Resource Type
departmental bulletin paper
Publishers
山口大学農学部
Date Issued
1993-12
File Version
Not Applicable (or Unknown)
Access Rights
metadata only access
Relations
[ISSN]0513-1715
[NCID]AN00244250
Schools
農学部