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The Uniformization of Annual Maximum 1・2・3 Day Precipitations and its Nonstationary Frequency Analysis

Research Project

Project/Area Number 08650595
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field 水工水理学
Research InstitutionShinshu University

Principal Investigator

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

Project Period (FY) 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)
KeywordsNonhomogeneity / Nonstationarity / Parameter Time Series / Hydrological Variable / Annual Maximum 1・2・3 Day Precipitations / Front / Typhoon / Cyclone / 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 non-separation 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

(3 results)
  • 1997 Annual Research Report   Final Research Report Summary
  • 1996 Annual Research Report
  • Research Products

    (6 results)

All Other

All Publications (6 results)

  • [Publications] 寒川 典昭: "等質化した年最大1・2・3日降水量の非定常頻度分析" 信州大学工学部紀要. 第78号. 7-14 (1997)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1997 Final Research Report Summary
  • [Publications] 寒川 典昭: "ロジスチック曲線を用いた年最大1・2・3日降水量の非定常頻度分析" 信州大学工学部紀要. 第79号. 1-11 (1998)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1997 Final Research Report Summary
  • [Publications] SOGAWA Noriaki: "Nonstationary Frequency Analysis of Unifomized Annual Maximum 1・2・3 Day Precipitations" Journal of the Faculty of Engineering, Shinshu University. No.78. 7-14 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1997 Final Research Report Summary
  • [Publications] SOGAWA Noriaki: "Nonstationary Frequency Analysis of Annual Maximum 1・2・3 Day Precipitations Using Logistic Curve" Journal of the Faculty of Engineering, Shinshu University. No.79. 1-11 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1997 Final Research Report Summary
  • [Publications] 寒川 典昭・河上 岳史・吉永 幹太: "等質化した年最大1・2・3日降水量の非定常頻度分析" 信州大学工学部紀要. 第78号. 7-14 (1997)

    • Related Report
      1997 Annual Research Report
  • [Publications] 寒川 典昭・吉永 幹太: "ロジスチック曲線を用いた年最大1・2・3日降水量の非定常頻度分析" 信州大学工学部紀要. 第79号. 1-11 (1998)

    • Related Report
      1997 Annual Research Report

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Published: 1996-04-01   Modified: 2016-04-21  

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