Machine learning for improved drought forecasting in Chhattisgarh India: a statistical evaluation

Abstract Meteorological drought is one of the major natural hazards that affects the ecosystem of the Central Indian state of Chhattisgarh. This study delves into the analysis, comparison, and prediction of drought trends spanning the period from 1993 to 2023 in the study area. Employing a comprehen...

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Bibliographic Details
Published in:Discover Geoscience
Main Authors: Yashvita Tamrakar, I. C. Das, Swati Sharma
Format: Article
Language:English
Published: Springer 2024-11-01
Subjects:
Meteorological drought
SPI
SPEI
Statistical modelling
Machine learning algorithms
Chhattisgarh
Online Access:https://doi.org/10.1007/s44288-024-00089-z

Internet

https://doi.org/10.1007/s44288-024-00089-z

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