RAHUL GROVER, SIDDHARTHA SHARMA, BALJIT SINGH WALIA AND CHADETRIK ROUT*
Department of Civil Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala-133 207 (Haryana), India.
*(e-mail: chadetrikrout@gmail.com; Mobile : 89016 28070)
(Received: August 1, 2023; Accepted: September 22, 2023)
ABSTRACT
The present study was aimed at developing a rainfall forecasting methodology using historical records of rainfall data. Time series modelling was carried out using IMD rainfall data over the Udaipur region of
Rajasthan, India, from 1988-2020 to make a forecast for the year 2021. Auto-Regression Moving Average (ARIMA) model was used to make a forecast. Further, the forecast rainfall used for spatial distribution and spatial estimation of rainfall using the interpolation method The error in estimation was quantified with the R2 value. The methodology used in this study adequate and quite efficient to be relied upon for making rainfall forecast in the future.
Key words : ACF, ARIMA, Kriging interpolation, spatial interpolation, time series modelling
Integrated data were of Kriging. was found