Source characterization of airborne pollutant emissions by hybrid metaheuristic/gradient-based optimization techniques-Reference-Cited by-同舟云学术

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Source characterization of airborne pollutant emissions by hybrid metaheuristic/gradient-based optimization techniques

Published:2020-12 Issue: Volume:267 Page:115618
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Albani Roseane A.S.,Albani Vinicius V.L.^ORCID,Silva Neto Antonio J.

Funder

CAPES-Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

CNPq-Conselho Nacional de Desenvolvimento Científico e Tecnológico

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

Publisher

Elsevier BV

Subject

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

Reference43 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. A connection between uniqueness of minimizers and morozov-like discrepancy principles in tikhonov-type regularization;Albani;Inverse Probl. Imag.,2019

4. A splitting strategy for the calibration of jump-diffusion models;Albani;Finance Stochast.,2020

5. On the modeling of atmospheric pollutant dispersion during a diurnal cycle: a finite element study;Albani;Atmos. Environ.,2015

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3. Application and Improvement of the Particle Swarm Optimization Algorithm in Source-Term Estimations for Hazardous Release;Atmosphere;2023-07-19

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