The Uniformization of Annual Maximum 1・2・3 Day Precipitations and its Nonstationary Frequency Analysis
Project/Area Number  08650595 
Research Category 
GrantinAid for Scientific Research (C)

Section  一般 
Research Field 
水工水理学

Research Institution  Shinshu University 
Principal Investigator 
SOGAWA Noriaki Shinshu University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (90143990)

Project Fiscal Year 
1996 – 1997

Project Status 
Completed(Fiscal Year 1997)

Budget Amount *help 
¥2,200,000 (Direct Cost : ¥2,200,000)
Fiscal Year 1997 : ¥700,000 (Direct Cost : ¥700,000)
Fiscal Year 1996 : ¥1,500,000 (Direct Cost : ¥1,500,000)

Keywords  Nonhomogeneity / Nonstationarity / Parameter Time Series / Hydrological Variable / Annual Maximum 1・2・3 Day Precipitations / Front / Typhoon / Cyclone / 非等質性 / 非定常性 / パラメータ時系列 / 確率水文量 / 年最大1・2・3日降水量 / 前線 / 台風 / 低気圧 / ヒストグラム / 時系列 
Research Abstract 
This study put in operation the nonstationary frequency analysis by using the uniformized annual maximum 1・2・3 day precipitations. The summary of research results is as follows. 1. The approximation of parameter time series (1) The annual maximum 1・2・3 day precipitations of front, typhoon, cyclone and nonseparation for 29 years from 1964 to 1992 were used in Nagano, Matsumoto, Iida, Suwa and Karuizawa stations as real data. These precipitation time series had the nonstationarity. (2) When time expresses t, Gumbel distribution, which is assumed as the population distribution, has the nonstationary scale parameter a (t) and location parameter b (t). The time series of these parameters obtained by 5 year moving partial data (it is called parameter time series) were approximated by the periodic component and the trend component. (3) The nonstationary parameter time series of Gumbel distribution were approximated by the logistic curve similarly. 2. The estimation of nonstationary hydrological variable (1) The hydrological variables of exceedance by using the parameter time series in 1.(2) were estimated, and the time series of hydrological variable were drawn. It had the nonstationality. (2) The hydrological variables of exceedance by using the parameter time series in 1.(3) were estimated, and the time series of hydrological variable were drawn similarly. It had the nonstationality too. 3. The examination of the stability of parameter time series The length of moving partial data was 5 years in this study. This stability was examined by simulation. The result said that 5 year moving partial data did not give the sufficient estimated value of parameter time series.

Report
(4results)
Research Output
(6results)