Predictive Modelling of Rainfall Data for Aurangabad Region by using ARIMA Method

  • Authors

    • Rupali D. Patil
    • O. S. Jadhav
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.10.27924
  • ARIMA, ARMA, Forecasting, Rainfall parameter, Time series.

  • Abstract

    In day to day life prediction of weather parameters play important role for planning in environment management fields. Predictive modelling of rainfall is very necessary criterion for water management resources. In time series analysis most effective autoregressive integrated moving average model (ARIMA) are used. In this paper, we set up various ARIMA models for prediction of rainfall from which ARIMA (1, 0, 0) (2, 0, 0)12 are best fitted models for future forecasting purpose. Forecasting the next three years has been described to decide water demand management priorities.

     

     

  • References

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  • How to Cite

    D. Patil, R., & S. Jadhav, O. (2018). Predictive Modelling of Rainfall Data for Aurangabad Region by using ARIMA Method. International Journal of Engineering & Technology, 7(4.10), 1085-1088. https://doi.org/10.14419/ijet.v7i4.10.27924

    Received date: 2019-02-25

    Accepted date: 2019-02-25

    Published date: 2018-10-02