{'fraction_non_alphanumeric': 0.012326656394453005, 'fraction_numerical': 0.0, 'mean_word_length': 5.701030927835052, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Efficient Statistical Tools for the Estimation of the Longitudinal Dispersion Coefficient

— 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.