A data-driven framework for rainfall erosivity prediction integrating rainfall and temperature data from IMD and bias-corrected GCM

Soil erosion begins with the impact of raindrops, which create a splashing effect. The rainfall erosivity factor (R-factor) quantifies this impact and is used to estimate soil erosion in the Revised Universal Soil Loss Equation (RUSLE) model. Gridded daily rainfall and temperature data from the Indi...

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Bibliografische gegevens

Hoofdauteurs:	Senthamizhselvan Thiyagarajan, Vignesh Rajkumar Lakshmanan
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Elsevier 2026-05-01
Reeks:	Hydrology Research
Onderwerpen:	RUSLE Rainfall erosivity Stacking Machine Learning GCMs
Online toegang:	http://www.sciencedirect.com/science/article/pii/S1998956326005458
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