Title: River Discharge Estimation Using Maximum Depth-Averaged Velocity: The Case Study of The Godavri River Basin


Authors:

Jitendra Vyas

jitendra.vyas@skit.ac.in
Department of Civil Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Sitaram Saini

sitaram.saini@skit.ac.in
Department of Civil Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Akash Johari

akash.johari@skit.ac.in
Department of Civil Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Pooja Jain

pooja.jaincivil@skit.ac.in
Department of Civil Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Sunita Tolani

sunita.tolani@skit.ac.in
Department of Civil Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Pawan Patidar

pawan.patidar@skit.ac.in
Department of Civil Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA)

Pages: 21-24

DOI:

Abstract:

The mean (average) flow velocity is an important hydraulic parameter for river engineers. It is calculated by using the stream flow rate (discharge) and the sectional flow area. Several techniques are available to estimate the sectional average or mean flow velocity. Rectently introduced entropy theory technique is a reliable as well as a quick approach compared to the traditional techniques like the velocity-area method. The entropy theory technique can estimate the discharge by measuring the single point velocity measurement only. The estimated parameters are well compared with the observed ones. The obtained results were compared in terms of correlation coefficient and error percentage. The error percentage is well within the acceptable limits.

Keywords: