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Information Journal Paper

Title

STREAMFLOW TIME SERIES MODELING OF ZAYANDEHRUD RIVER; RESEARCH NOTE

Pages

  567-570

Abstract

 Multiplicative seasonal autoregressive integrated moving average models are appropriate for the monthly stream flow of the ZAYANDEHRUD RIVER in western Isfahan province, Iran, through the Box and Jenkins time series modeling approach. Among the selected models interpreted from ACF and PACF, seasonal multiplicative ARIMA (1,1,0) × (0,1,1) satisfied all tests and showed the best performance. Seasonal moving average parameter in the model indicates periodicity, and long memory in the streamflow, while a nonseasonal autoregressive parameter indicates the linearity of the monthly streamflow. The model forecasted streamflow for 24 leading months showed the ability of the model to predict and forecast statistical properties of the streamflow.

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    APA: Copy

    MODARES, R., & ESLAMIAN, S.S.. (2006). STREAMFLOW TIME SERIES MODELING OF ZAYANDEHRUD RIVER; RESEARCH NOTE. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, 30(B4 (CIVIL ENGINEERING)), 567-570. SID. https://sid.ir/paper/62425/en

    Vancouver: Copy

    MODARES R., ESLAMIAN S.S.. STREAMFLOW TIME SERIES MODELING OF ZAYANDEHRUD RIVER; RESEARCH NOTE. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING[Internet]. 2006;30(B4 (CIVIL ENGINEERING)):567-570. Available from: https://sid.ir/paper/62425/en

    IEEE: Copy

    R. MODARES, and S.S. ESLAMIAN, “STREAMFLOW TIME SERIES MODELING OF ZAYANDEHRUD RIVER; RESEARCH NOTE,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, vol. 30, no. B4 (CIVIL ENGINEERING), pp. 567–570, 2006, [Online]. Available: https://sid.ir/paper/62425/en

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