Desenvolvimento de ferramentas para modelar a dispersão de contaminantes atmosféricos com dados públicos brasileiros, usando o modelo AERMOD

• Ano de defesa: 2023
• Autor(a) principal: Guzmán, Nely Grillo
• Outros Autores: [e-mail]
• Orientador(a): Assis, Joaquim Teixeira de , Domínguez, Joel Sánchez
• Banca de defesa: Ribeiro, Flávia Noronha Dutra , Chiquetto, Júlio Barbosa , Geraldes, Mauro Cesar , Oliveira, Luiz Nélio Henderson Guedes de
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade do Estado do Rio de Janeiro
• Programa de Pós-Graduação: Programa de Pós-Graduação em Modelagem Computacional
• Departamento: Centro de Tecnologia e Ciências::Instituto Politécnico
• País: Brasil
• Palavras-chave em Português: Espalhamento (Física); Ar; Poluição; Métodos de simulação; AERMOD; Dispersão de contaminantes; Contaminação atmosférica; Modelagem
• Palavras-chave em Inglês: Contaminant dispersion; Atmospheric contamination; Modeling
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::MATEMATICA DA COMPUTACAO
• Link de acesso: http://www.bdtd.uerj.br/handle/1/21095

The relevance of simulating the dispersion of atmospheric contaminants is widely accepted by the scientific community and society. AERMOD is a contaminant dispersion model that needs to run some preprocessors that prepare the necessary input data. The information available internationally to run these preprocessors has resolutions of 1000m, which makes simulations difficult in small regions (a few kilometers around the source of emissions) and with irregular relief. Brazilian public data have higher resolution (30 m), but with them it is not possible to run the AERSURFACE and AERMAP preprocessors, verifying the need to create tools that could replace them. DATASURFACE and DATAMAP were created, which manage to generate the necessary data for the execution of AERMOD using publicly available data in Brazil. The results show that DATASURFACE offers greater practicality for users who wish to use AERMOD and can use data from the surface characteristics of the study region, if available. Using the developed tools, three case studies were performed, two of them in regions with irregular relief and one example in a region with predominantly flat relief. In the third example, the results were similar to those obtained using AERMOD's own preprocessors. For the first two examples, with the use of DATAMAP, patterns of contaminants dispersion were obtained, in smaller regions, which respect the orography of the terrain and consider the effect of small elevations present near the source of contaminants. This way was demonstrated the need to use the tools developed for this type of cases. The developed tools are very necessary if the study area is a few m2 , but they can also be used for larger regions with 1600 km2 , where similar results are obtained in both simulations.