As we all know day by day population and water requirements are increasing. So, it will create a lot of shortage of water in upcoming years mainly in Rajasthan. This study consists of probability and general scenarios of rainfall in Rajasthan for future years. Data consists of rainfall based on the monthly monsoon season (June, July, August, and September) resolution for 41 years, in which 30 years are taken in training work and the rest of 11 years for testing work. There are two Districts taken for the prediction of Rainfall based on the previous 41 years of Rainfall data. Rajsamand, Bhilwara, Ajmer, and Tonk are the study areas of interest. RMSE range is 13.88–51.15 mm ARIMA model based on data observed. Where the minimum percentage error is observed at 15.17 in August in month Rajsamand district. The maximum percentage error is 32.40% which was found in the Ajmer June month Model Generated through Training Data shows pretty much correct results on the testing data set. Every month has a different model for future rainfall predictions it depends on data collected in that month. Six parameters show the efficiency of the model. RMSE, R2, Standard Deviation, Average mean of predicted and observed dataset. The R2 Correlation coefficient minimum is 0.685 and the maximum is 0.881.

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Future Forecasting of Rainfall Data by ARIMA Modelling

  • Nagar Anant Kumar,
  • Gunwant Sharma

摘要

As we all know day by day population and water requirements are increasing. So, it will create a lot of shortage of water in upcoming years mainly in Rajasthan. This study consists of probability and general scenarios of rainfall in Rajasthan for future years. Data consists of rainfall based on the monthly monsoon season (June, July, August, and September) resolution for 41 years, in which 30 years are taken in training work and the rest of 11 years for testing work. There are two Districts taken for the prediction of Rainfall based on the previous 41 years of Rainfall data. Rajsamand, Bhilwara, Ajmer, and Tonk are the study areas of interest. RMSE range is 13.88–51.15 mm ARIMA model based on data observed. Where the minimum percentage error is observed at 15.17 in August in month Rajsamand district. The maximum percentage error is 32.40% which was found in the Ajmer June month Model Generated through Training Data shows pretty much correct results on the testing data set. Every month has a different model for future rainfall predictions it depends on data collected in that month. Six parameters show the efficiency of the model. RMSE, R2, Standard Deviation, Average mean of predicted and observed dataset. The R2 Correlation coefficient minimum is 0.685 and the maximum is 0.881.