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All Journal International Journal of Informatics and Communication Technology (IJ-ICT)
Swastika Chakraborty
Narula Institute of Technology
Computer Science & IT

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Statistical analysis of an orographic rainfall for eight north-east region of India with special focus over Sikkim Pooja Verma; Amrita Biswas; Swastika Chakraborty
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 11, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v11i3.pp185-192

Abstract

Autoregressive integrated moving average (ARIMA) models are used to predict the rain rate for orographic rainfall over a long period of time, from 1980 to 2018. As the orographic rainfall may cause landslides and other natural disaster issues. So, this study is very important for the analysis of rainfall prediction. In this research, statistical calculations have been done based on the rainfall data for twelve regions of India (Cherrapunji, Darjeeling, Dawki, Ghum, Itanagar, Kanchenjunga, Mizoram, Nagaland, Pakyong, Saser Kangri, Slot Kangri, and Tripura) from the eight states, i.e., Sikkim, Meghalaya, West Bengal, Ladakh (Union Territory of India), Arunachal Pradesh, Mizoram, Tripura, and Nagaland) with varying altitudes. The model's output is assessed using several error calculations. The model's performance is represented by the fit value, which is reliable for the north-east region of India with increasing altitude. The statistical dependability of the rainfall prediction is shown by the parameters. The lowest value of root mean square error (RMSE) indicates better prediction for orographic rainfall
Co-Authors Amrita Biswas Pooja Verma