Rainfall Prediction of Konkan and Goa Region from 1901 to 2017

• Author(s): Dr. Santosh Singh ; Mithilesh Vishwakarma ; Shravan Shivanand Kamat ; Hrushi Bhola
• Paper ID: 1705515
• Page: 234-238
• Published Date: 15-02-2024
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 7 Issue 8 February-2024

Abstract

This research dives deep into analyzing and predicting rainfall patterns in Konkan and Goa from 1901 to 2017. Given the area's ecological importance and the region's reliance on agriculture, understanding historical trends becomes crucial. Using data-driven approaches, particularly machine learning algorithms such as Random Forest, Back Propagation, SVR, Linear Regression, Decision Tree, this study aims to create precise predictive models from meteorological data. We have found different accuracies for different models based on the above-mentioned algorithms for which we have plotted suited graphs for data visualization for better understanding patterns of each model. These models seek to forecast annual rainfall, offering invaluable insights for resource management, agricultural planning, and disaster readiness in Konkan and Goa.

Keywords

Climate Modelling, Goa Region, Konkan Region, Machine Learning Algorithms, Meteorological Data Analysis, Rainfall Prediction

Citations

IRE Journals:
Dr. Santosh Singh , Mithilesh Vishwakarma , Shravan Shivanand Kamat , Hrushi Bhola "Rainfall Prediction of Konkan and Goa Region from 1901 to 2017" Iconic Research And Engineering Journals Volume 7 Issue 8 2024 Page 234-238

IEEE:
Dr. Santosh Singh , Mithilesh Vishwakarma , Shravan Shivanand Kamat , Hrushi Bhola "Rainfall Prediction of Konkan and Goa Region from 1901 to 2017" Iconic Research And Engineering Journals, 7(8)