Efficient Statistical Tools for the Estimation of the Longitudinal Dispersion Coefficient

Thiago Jordem Pereira, Daniel Maziero Verdan Curty and Wagner Rambaldi Telles

Bayesian approach, Longitudinal dispersion coefficient, Markov Chain Monte Carlo method, Tracer flow, Transporting pollutants.

The problem of transporting pollutants in natural rivers can be modeled using saline tracer injection techniques, which are very useful for obtaining important information related to water quality in river stretches, such as the physical parameter longitudinal dispersion coefficient. The objectives of this work are to formulate an inverse problem for the tracer flow process in natural rivers using a Bayesian approach to update the longitudinal dispersion coefficient, and use the Markov Chain Monte Carlo (MCMC) to solve the inverse problem formulated.

Received: 21 Oct 2021, Received in revised form: 06 Nov 2021, Accepted: 10 Nov 2021, Available online: 14 Nov 2021

10.22161/ijaers.811.10