Rainfall-Runoff Modeling Using Artificial Neural Network—A Case Study of Purna Sub-Catchment of Upper Tapi Basin, India

Author:

Mohseni Usman1,Muskula Sai Bargav1ORCID

Affiliation:

1. Department of Civil Engineering, IIT Roorkee, Roorkee 247667, India

Publisher

MDPI

Reference17 articles.

1. Rainfall-runoff modeling using artificial neural networks;Tokar;J. Hydrol. Eng.,1999

2. Rainfall Runoff Modeling Using HEC-HMS: The Case of Awash Bello Sub-Catchment, Upper Awash Basin, Ethiopia;Namara;Int. J. Environ.,2020

3. Rathod, P., Borse, K., and Manekar, V.L. (2015, January 17–19). Simulation of rainfall-runoff process using HEC-HMS (case study: Tapi river, India). Proceedings of the 20th International Conference on Hydraulics, Water Resources and River Engineering, Roorkee, India.

4. Integration of artificial neural networks with conceptual models in rainfall-runoff modeling;Chen;J. Hydrol.,2006

5. Prediction of watershed runoff using Bayesian concepts and modular neural networks;Zhang;Water Resour. Res.,2000

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