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Modelling and Forecasting of River Flows Using Stochastic Models

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Systems Analysis and Simulation II

Part of the book series: Advances in Simulation ((ADVS.SIMULATION,volume 2))

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Abstract

The river flow process is a very complex process that involves a number of primary as well as auxiliary variables such as rainfall, groundwater and geomorphologic characteristics of the basin. Because of the complicated nature of the process, it is hard to quantify the contribution of different factors on the flow. In this situation modeling of the river flow process by a stochastic model is recominanded.

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Literature

  1. Box, G.E.P., and G.M. Jenkins: Time Series Analysis: Forecasting and Control, Holden Day, San Francisco 1976.

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  2. Popescu, Th D.: AUTOB & J–A Computer Aided Procedure for time Series Analysis and Forecasting, Proc. 3rd IFAC Symp. On Computer Aided Design in Control and Engineering Systems, July 31–August 2, Lyngby 1985.

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  3. Penkratz, A.: Forecasting with Univariate Box-Jenkins Models, John Wiley & Sons, New York 1983

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© 1988 Akademie-Verlag Berlin

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Popescu, T.D., Demetriu, S., Marinescu, V. (1988). Modelling and Forecasting of River Flows Using Stochastic Models. In: Sydow, A., Tzafestas, S.G., Vichnevetsky, R. (eds) Systems Analysis and Simulation II. Advances in Simulation, vol 2. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8936-1_11

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  • DOI: https://doi.org/10.1007/978-1-4613-8936-1_11

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97093-6

  • Online ISBN: 978-1-4613-8936-1

  • eBook Packages: Springer Book Archive

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