Simultaneous Estimation of Inflow and Channel Roughness Using 2D Hydraulic Models and Particle Filters

Abstract

The Sequential Importance Resampling (SIR) method is introduced to a 2D hydraulic model to estimate inflow and Manning roughness coefficient (Manning’s n) simultaneously. The equifinality problem between theManning’s n and the inflow is considered using the proposed method. To solve the problem, we introduce the variance reduction factor and the correction factor in the perturbation step of the proposed method. The perturbed inflow and Manning’s n are updated according to the observed water stage with state variables. The result of the proposed method shows good agreement with the observed discharge, which enable us to estimate theManning’s n and inflow discharge at the same time considering the uncertainties of the existing rating curve. Finally, it showed that the methodology is not only to estimate the appropriate Manning’s n, but also to improve the existing rating curve.