Uncertainty quantification and atmospheric source estimation with a discrepancy-based and a state-dependent adaptative MCMC-Reference-Cited by-同舟云学术

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Uncertainty quantification and atmospheric source estimation with a discrepancy-based and a state-dependent adaptative MCMC

Published:2021-12 Issue: Volume:290 Page:118039
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Albani Roseane A.S.,Albani Vinicius V.L.^ORCID,Migon Hélio S.,Silva Neto Antônio J.^ORCID

Funder

Priority Academic Program Development of Jiangsu Higher Education Institutions

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Universidade do Estado do Rio de Janeiro

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference24 articles.

1. Tikhonov-type regularization and the finite element method applied to point source estimation in the atmosphere;Albani;Atmos. Environ.,2019

2. An accurate strategy to retrieve multiple source emissions in the atmosphere;Albani;Atmos. Environ.,2020

3. Source characterization of airborne pollutant emissions by hybrid metaheuristic/gradient-based optimization techniques;Albani;Environ. Pollut.,2020

4. Metaheuristics for Optimization Problems;Camps Echevarría,2019

5. Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference;Gamerman,2006

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2. Bayesian estimation and reconstruction of marine surface contaminant dispersion;Science of The Total Environment;2024-01

3. Atmospheric Dispersion Modeling Using a Stochastic Wind Model;Defect and Diffusion Forum;2023-07-14

4. Uncertainty assessment of a semi-empirical output voltage model for proton exchange membrane fuel cells;International Journal of Hydrogen Energy;2023-04

5. Bayesian inference and wind field statistical modeling applied to multiple source estimation;Environmental Pollution;2023-03

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