Estimation of roughness profile in trapezoidal open channels

In the well-known de Saint Venant equations, the bed roughness-coefficient cannot be measured directly and therefore needs to be estimated. The estima tion process is referred to as "parameter identification," which is a mathe matical process based on using the difference between the solution of the m odel equations and the measured system response. This paper introduces an a pproach for solving the parameter identification problem in the de Saint Ve nant equations. The method proposed herein is widely used in gas dynamics; however, it has not been used before for unsteady problem identification of open channel flow parameters. Although the proposed solution procedure wil l be applied herein to the bed roughness-coefficient, it can be used for ot her parameters, e.g., cross-sectional area, bed width, etc. Starting with a n initial guess of the roughness coefficient, the algorithm iteratively imp roves the guesses in the direction of the gradient of the least square crit erion. The gradient is obtained by means of a variational approach, while t he conditions of the criterion minimum are identified by the general method of indefinite Lagrangian multipliers.