An artificial neural network and SCS–CN-based model for runoff estimation: a case study of the Peddavagu watershed
Raushan Raj,
Rohit Kumar,
M. Aishwarya
et al.
Abstract:The accurate prediction of runoff from rainfall events is crucial for effective water resource management, especially in regions with diverse climatic patterns like India. This study proposes a novel approach by integrating the soil conservation service (SCS)–curve number (CN) method with artificial neural networks (ANNs) to model rainfall–runoff relationships. In this research, an SCS–CN method is utilized to estimate initial runoff volumes, accounting for local soil and land-cover characteristics. Subsequent… Show more
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