Selection of Model For Predicting Runoff A Case Study at Saleran watershed (Punjab)


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Authors

  • N.K. Narda
  • H.S. Sur
  • M.K. Khandelwal
  • M.S. Sabu

Abstract

The higher coefficient of determination obtained in case of the Artificial Neural Network, the SWMHMS and the USDA, SCS, Curve Number Technique offers three alternatives to predict runoff in the region. One of the methods may be adopted to predict runoff in watershed with similar characteristics.

Submitted

2022-11-21

Published

2022-11-24

Issue

Vol. 44 No. 1 & 2 (2000)

Section

Articles

License

On publication in JSWC, the copyrights on the full contents of the paper will be of Soil Conservation Society of India, New Delhi.

How to Cite

Narda, N., Sur, H., Khandelwal, M., & Sabu, M. (2022). Selection of Model For Predicting Runoff A Case Study at Saleran watershed (Punjab). Journal of Soil and Water Conservation, 44(1 & 2). https://epubs.icar.org.in/index.php/JSWC/article/view/130522