Rainfall-Runoff Modeling Using Artificial Neural Network—A Case Study of Purna Sub-Catchment of Upper Tapi Basin, India-Reference-Cited by-同舟云学术

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

Published:2023-03-16 Issue: Volume: Page:
ISSN:
Container-title:ECWS-7 2023
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Author:

Mohseni Usman¹,Muskula Sai Bargav¹^ORCID

Affiliation:

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

Publisher

MDPI

Link

https://www.mdpi.com/2673-4931/25/1/1/pdf

Reference17 articles.

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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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