Related Experiment Video
Updated: May 2, 2026

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
Published on: April 25, 2025
Water quality model parameter identification of an open channel in a long distance water transfer project based on
Dongguo Shao1, Haidong Yang1, Yi Xiao1
1State Key Laboratory of Water Resources & Hydropower Engineering Science, Wuhan University, Luojia Hill, Wuhan 430072, China
Abstract:
A new method is proposed based on the finite difference method (FDM), differential evolution algorithm and Markov Chain Monte Carlo (MCMC) simulation to identify water quality model parameters of an open channel in a long distance water transfer project. Firstly, this parameter identification problem is considered as a Bayesian estimation problem and the forward numerical model is solved by FDM, and the posterior probability density function of the parameters is deduced. Then these parameters are estimated using a sampling method with differential evolution algorithm and MCMC simulation. Finally this proposed method is compared with FDM-MCMC by a twin experiment. The results show that the proposed method can be used to identify water quality model parameters of an open channel in a long distance water transfer project under different scenarios better with fewer iterations, higher reliability and anti-noise capability compared with FDM-MCMC. Therefore, it provides a new idea and method to solve the traceability problem in sudden water pollution accidents.
Related Concept Videos
Typical Model Studies
Rapidly Varying Flow
Design Example: Creating a Hydraulic Model of a Dam Spillway
Gradually Varying Flow
Uniform Depth Channel Flow: Problem Solving
Uniform Depth Channel Flow

