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Runoff Analysis by the Quasi Channel Network Model in the Toyohira River Basin

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Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Part of the book series: Water Science and Technology Library ((WSTL,volume 10/3))

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Abstract

This paper describes runoff analysis using the quasi channel network model of the Misumai experimental basin, which is part of the Toyohira River basin. The Toyohira River flows through Sapporo which has a population of 1.7 million. Four multi-purpose dams are located in the Toyohira River basin; thus, it is very important to verify the runoff process not only analytically but also based on field observations.

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Reference

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Author information

Authors and Affiliations

  1. Dept. of Civil Eng., Hokkai-Gakuen Univ., Chuo-ku, Sapporo 064, Japan

    H. Saga

  2. Hokkaido E. P. Co., Toyohira-ku, Sapporo 004, Japan

    T. Nishimura

  3. Dept.of Civil Eng., Hokkaido Univ., Kita-ku, Sapporo 060, Japan

    M. Fujita

Authors
  1. H. Saga
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  2. T. Nishimura
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  3. M. Fujita
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Editor information

Editors and Affiliations

  1. Departments of Systems Design Engineering and Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada

    Keith W. Hipel

  2. Department of Statistical and Actuarial Sciences, The University of Western Ontario, London, Ontario, Canada

    A. Ian McLeod

  3. Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada

    A. Ian McLeod

  4. Department of Civil Engineering, Lakehead University, Thunder Bay, Ontario, Canada

    U. S. Panu

  5. Department of Civil Engineering, Louisiana State University, Baton Rouge, Louisiana, USA

    Vijay P. Singh

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© 1994 Springer Science+Business Media Dordrecht

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Saga, H., Nishimura, T., Fujita, M. (1994). Runoff Analysis by the Quasi Channel Network Model in the Toyohira River Basin. In: Hipel, K.W., McLeod, A.I., Panu, U.S., Singh, V.P. (eds) Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Water Science and Technology Library, vol 10/3. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3083-9_33

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  • DOI: https://doi.org/10.1007/978-94-017-3083-9_33

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4379-5

  • Online ISBN: 978-94-017-3083-9

  • eBook Packages: Springer Book Archive

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