In response to sudden water pollution incidents in rivers and canals, a pollution source tracing algorithm is proposed, employing the Markov Chain Monte Carlo (MCMC) method for rapid identification. This algorithm converts the traceability problem into a Bayesian estimation issue and utilizes the Metropolis-Hastings (M-H) sampling algorithm to sample the posterior probability density function. Consequently, it provides probability distributions for the location, time, and mass of pollutants in river canals.
No takes yet. Share an insight, caveat, or question.
Jia et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: