Estimation of Rainfall activity in Bangalore urban region using- Multiple Linear Regression model

Geetha G.¹ , Lavanya S.² , Samreen A.³ , Akhilesh S.R.⁴ , Anand L.F.M.⁵

Section:Research Paper, Product Type: Journal-Paper
Vol.9 , Issue.9 , pp.26-29, Sep-2023

Online published on Sep 30, 2023

Copyright © Geetha G., Lavanya S., Samreen A., Akhilesh S.R., Anand L.F.M. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Rainfall activity across the globe is studied regularly by researchers using several mathematical models. The models are being useful in rainfall prediction and analysis in different fields. A systematic approach in the prediction of rainfall activity in the southern region of Bangalore urban area is been studied from the previous years’ rainfall data. Using Multiple Regression model, the rainfall activity is predicted on a monthly basis from the data of the monthly average rainfall in the previous years. The data on rainfall activity for consecutive three previous years recorded at the Indian Meteorological Department is obtained and is fitted using polynomial regression and multiple linear regression models. The regression coefficient in each of the model used is individually calculated. From the R value, the multiple linear regression model gives a better fit than the polynomial regression model. The limitations in the multiple linear regression model is however on the selection of predictors.

Key-Words / Index Term :
Rainfall activity, Temperature, Relative Humidity, Multiple Linear Regression

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