Estudo computacional do impacto ambiental de emissões do processo Kraft na qualidade do ar

Detalhes bibliográficos
Autor(a) principal: Melo, Joelma Ribeiro
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
Texto Completo: http://repositorio.uem.br:8080/jspui/handle/1/3740
Resumo: The Kraft pulp production is associated with the emission of harmful air pollutants that can have impact in the environment, on property and on human health. The air quality is directly influenced by the distribution and intensity of emissions and verifying the levels of pollutants in the atmosphere can be performed by monitoring the pollutants. However most Brazilian cities do not present air quality monitoring networks and those that have air quality monitoring are the state?s capitals. In the absence of pollutants monitoring and unavailability of data of pollutants concentrations, it is possible to estimate them by means of mathematical models which simulate the transport of pollutants into the atmosphere. The aim of this study was to quantify and evaluate air pollutants dispersion, using Aermod atmospheric model, by simulating the dispersion of pollutants: particular matter (PM), total reduced sulphur (TRS), sulphur oxides (SOx), nitrogen oxides (NOx) and carbon monoxide (CO), emitted from eight stationary sources of the Kraft process for pulp production. The methodology applied for the simulation experiments consists of: delineation and characterization of the study area; operational and physical characterization of emission sources; obtaining topographical features of the region. Meteorological parameters that characterize the climate conditions of the region, also necessary form simulations, were obtained by meteorological model MM5. The simulations showed the city center located in southwest of the study region, having predominant wind flows, was affected by the pollutant plume. However the most impacted areas were at the northwest and the southeast of the emission sources for the majority of cases. The highest annual averages concentrations were nearby industry, at the southeast region, in relation to the emission sources. For hourly and daily averages concentrations, the highest values occur near the emission sources in locals where the topographic coordinates were elevated. Peak concentrations estimated by the model for hourly, daily and annual averages were respectively: 55.69 ?g/m³, 12.74 ?g/m³ and 2.06 ?g/m³ for PM; 2.59 ?g/m³, 0.27 ?g/m³ and 0.06 ?g/m³ for TRS; 3.45 ?g/m³, 0.47 ?g/m³ and 0.09 ?g/m³ for SOx; 189.36 ?g/m³, 34.88 ?g/m³ and 5.83 ?g/m³ for NOx; and 30.44 ?g/m³, 13.26 ?g/m³ (8 h), 5.63 ?g/m³ and 0.96 ?g/m³ for CO. Maximum concentrations estimated by the model for the pollutants were below the concentrations limits established by Conama Resolution 003/1990 and by USEPA standards for TRS pollutant. The observed concentrations of total suspended particulate matter (TSP) and particular matter (PM10) were represented fairly well, verifying a slightly underestimation of predicted values in comparison to those observed in air monitoring station. Therefore, the dispersion model can be used in a qualitative manner to indicate adequate local to measure the concentration of pollutants in an air quality monitoring network. It was found from literature that the maximum concentrations estimated for pollutants in the study area are below a significant value that could have harmful effect on human health.
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spelling Estudo computacional do impacto ambiental de emissões do processo Kraft na qualidade do arComputational study of the environmental impact of emissions from the Kraft process in air qualityEmissões industriaisProcesso KraftAermodBrasil.Industrial emissionsKraft ProcessAermodBrazil.EngenhariasEngenharia QuímicaThe Kraft pulp production is associated with the emission of harmful air pollutants that can have impact in the environment, on property and on human health. The air quality is directly influenced by the distribution and intensity of emissions and verifying the levels of pollutants in the atmosphere can be performed by monitoring the pollutants. However most Brazilian cities do not present air quality monitoring networks and those that have air quality monitoring are the state?s capitals. In the absence of pollutants monitoring and unavailability of data of pollutants concentrations, it is possible to estimate them by means of mathematical models which simulate the transport of pollutants into the atmosphere. The aim of this study was to quantify and evaluate air pollutants dispersion, using Aermod atmospheric model, by simulating the dispersion of pollutants: particular matter (PM), total reduced sulphur (TRS), sulphur oxides (SOx), nitrogen oxides (NOx) and carbon monoxide (CO), emitted from eight stationary sources of the Kraft process for pulp production. The methodology applied for the simulation experiments consists of: delineation and characterization of the study area; operational and physical characterization of emission sources; obtaining topographical features of the region. Meteorological parameters that characterize the climate conditions of the region, also necessary form simulations, were obtained by meteorological model MM5. The simulations showed the city center located in southwest of the study region, having predominant wind flows, was affected by the pollutant plume. However the most impacted areas were at the northwest and the southeast of the emission sources for the majority of cases. The highest annual averages concentrations were nearby industry, at the southeast region, in relation to the emission sources. For hourly and daily averages concentrations, the highest values occur near the emission sources in locals where the topographic coordinates were elevated. Peak concentrations estimated by the model for hourly, daily and annual averages were respectively: 55.69 ?g/m³, 12.74 ?g/m³ and 2.06 ?g/m³ for PM; 2.59 ?g/m³, 0.27 ?g/m³ and 0.06 ?g/m³ for TRS; 3.45 ?g/m³, 0.47 ?g/m³ and 0.09 ?g/m³ for SOx; 189.36 ?g/m³, 34.88 ?g/m³ and 5.83 ?g/m³ for NOx; and 30.44 ?g/m³, 13.26 ?g/m³ (8 h), 5.63 ?g/m³ and 0.96 ?g/m³ for CO. Maximum concentrations estimated by the model for the pollutants were below the concentrations limits established by Conama Resolution 003/1990 and by USEPA standards for TRS pollutant. The observed concentrations of total suspended particulate matter (TSP) and particular matter (PM10) were represented fairly well, verifying a slightly underestimation of predicted values in comparison to those observed in air monitoring station. Therefore, the dispersion model can be used in a qualitative manner to indicate adequate local to measure the concentration of pollutants in an air quality monitoring network. It was found from literature that the maximum concentrations estimated for pollutants in the study area are below a significant value that could have harmful effect on human health.A produção de celulose Kraft está associada à emissão de poluentes que podem causar danos ao ambiente, ao patrimônio e a saúde humana. A qualidade do ar é diretamente influenciada pela distribuição e intensidade da emissão de poluentes; e a verificação do nível da concentração dos poluentes na atmosfera deve ser realizada por monitoramento do poluente. No entanto, a maioria das cidades brasileiras não apresenta redes de monitoramento da qualidade do ar. Na ausência de monitoramento e indisponibilidade de dados de medidas da concentração dos poluentes é possível estimar a concentração do poluente com modelos matemáticos, por meio da simulação do transporte dos poluentes na atmosfera. O objetivo foi determinar a concentração dos poluentes atmosféricos, utilizando o modelo de dispersão atmosférica Aermod para a simulação da dispersão dos poluentes material particulado (MP), compostos reduzidos de enxofre (TRS), óxidos de enxofre (SOx), óxidos de nitrogênio (NOx) e monóxido de carbono (CO), emitidos a partir de oito fontes fixas do processo Kraft de produção de celulose. A metodologia aplicada para a execução da simulação consiste em: delimitação e caracterização da área de estudo; caracterização física e operacional das fontes emissoras; obtenção de características topográficas da região; e parâmetros meteorológicos que caracterizam as condições climáticas da região, gerados pelo modelo meteorológico MM5. As simulações mostram que o centro da cidade localizado na região sudoeste da região de estudo, com predominância de fluxos de ventos, foi atingido pela pluma do poluente. Entretanto as áreas mais impactadas estão a noroeste e sudeste das fontes, para a maioria dos casos. As maiores médias anuais de concentrações situaram-se nas proximidades da indústria, na região sudeste, em relação às fontes emissoras. Para médias horária e diária, as maiores concentrações ocorrem próximas às fontes emissoras e em cotas topográficas elevadas em relação à fonte de emissão. As concentrações máximas estimadas pelo modelo com médias horárias, diárias e anuais foram respectivamente: 55,69 ?g/m³, 12,74 ?g/m³ e 2,06 ?g/m³ para o MP; 2,59 ?g/m³, 0,27 ?g/m³ e 0,06 ?g/m³ para o TRS; 3,45 ?g/m³, 0,47 ?g/m³ e 0,09 ?g/m³ para o SOx; 189,36 ?g/m³, 34,88 ?g/m³ e 5,83 ?g/m³ para o NOx; e 30,44 ?g/m³, 13,26 ?g/m³ (8 horas), 5,63 ?g/m³ e 0,96 ?g/m³ para o CO. As concentrações máximas estimadas pelo modelo para os poluentes mantiveram-se inferiores às concentrações estabelecidas pela Resolução Conama n° 003/1990 e padrões da USEPA, particularmente para o poluente TRS. As concentrações observadas para partículas totais em suspensão (PTS) e partículas de até 10 ?m (MP10) foram representadas razoavelmente bem, verificando-se uma subestimação dos valores previstos aos observados na estação de monitoramento. Dessa forma, o modelo pode ser utilizado de maneira qualitativa indicando locais adequados de medidas da concentração de poluentes em uma rede de monitoramento da qualidade do ar. Verificou-se, com base na literatura, que as máximas concentrações estimadas pelo modelo para os poluentes na região de estudo estão abaixo de um valor significativo que pudesse causar algum efeito a saúde da população.1 CD-ROM (ix, 125 f.)Universidade Estadual de MaringáBrasilDepartamento de Engenharia QuímicaPrograma de Pós-Graduação em Engenharia QuímicaUEMMaringá, PRCentro de TecnologiaMarcelino Luiz GimenesEd Pinheiro Lima - UEMAna Cláudia Ueda - UTFPrOsvaldo Vieira - FATEBMelo, Joelma Ribeiro2018-04-17T17:42:55Z2018-04-17T17:42:55Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://repositorio.uem.br:8080/jspui/handle/1/3740porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)instname:Universidade Estadual de Maringá (UEM)instacron:UEM2018-10-15T18:19:00Zoai:localhost:1/3740Repositório InstitucionalPUBhttp://repositorio.uem.br:8080/oai/requestopendoar:2024-04-23T14:56:53.615314Repositório Institucional da Universidade Estadual de Maringá (RI-UEM) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Estudo computacional do impacto ambiental de emissões do processo Kraft na qualidade do ar
Computational study of the environmental impact of emissions from the Kraft process in air quality
title Estudo computacional do impacto ambiental de emissões do processo Kraft na qualidade do ar
spellingShingle Estudo computacional do impacto ambiental de emissões do processo Kraft na qualidade do ar
Melo, Joelma Ribeiro
Emissões industriais
Processo Kraft
Aermod
Brasil.
Industrial emissions
Kraft Process
Aermod
Brazil.
Engenharias
Engenharia Química
title_short Estudo computacional do impacto ambiental de emissões do processo Kraft na qualidade do ar
title_full Estudo computacional do impacto ambiental de emissões do processo Kraft na qualidade do ar
title_fullStr Estudo computacional do impacto ambiental de emissões do processo Kraft na qualidade do ar
title_full_unstemmed Estudo computacional do impacto ambiental de emissões do processo Kraft na qualidade do ar
title_sort Estudo computacional do impacto ambiental de emissões do processo Kraft na qualidade do ar
author Melo, Joelma Ribeiro
author_facet Melo, Joelma Ribeiro
author_role author
dc.contributor.none.fl_str_mv Marcelino Luiz Gimenes
Ed Pinheiro Lima - UEM
Ana Cláudia Ueda - UTFPr
Osvaldo Vieira - FATEB
dc.contributor.author.fl_str_mv Melo, Joelma Ribeiro
dc.subject.por.fl_str_mv Emissões industriais
Processo Kraft
Aermod
Brasil.
Industrial emissions
Kraft Process
Aermod
Brazil.
Engenharias
Engenharia Química
topic Emissões industriais
Processo Kraft
Aermod
Brasil.
Industrial emissions
Kraft Process
Aermod
Brazil.
Engenharias
Engenharia Química
description The Kraft pulp production is associated with the emission of harmful air pollutants that can have impact in the environment, on property and on human health. The air quality is directly influenced by the distribution and intensity of emissions and verifying the levels of pollutants in the atmosphere can be performed by monitoring the pollutants. However most Brazilian cities do not present air quality monitoring networks and those that have air quality monitoring are the state?s capitals. In the absence of pollutants monitoring and unavailability of data of pollutants concentrations, it is possible to estimate them by means of mathematical models which simulate the transport of pollutants into the atmosphere. The aim of this study was to quantify and evaluate air pollutants dispersion, using Aermod atmospheric model, by simulating the dispersion of pollutants: particular matter (PM), total reduced sulphur (TRS), sulphur oxides (SOx), nitrogen oxides (NOx) and carbon monoxide (CO), emitted from eight stationary sources of the Kraft process for pulp production. The methodology applied for the simulation experiments consists of: delineation and characterization of the study area; operational and physical characterization of emission sources; obtaining topographical features of the region. Meteorological parameters that characterize the climate conditions of the region, also necessary form simulations, were obtained by meteorological model MM5. The simulations showed the city center located in southwest of the study region, having predominant wind flows, was affected by the pollutant plume. However the most impacted areas were at the northwest and the southeast of the emission sources for the majority of cases. The highest annual averages concentrations were nearby industry, at the southeast region, in relation to the emission sources. For hourly and daily averages concentrations, the highest values occur near the emission sources in locals where the topographic coordinates were elevated. Peak concentrations estimated by the model for hourly, daily and annual averages were respectively: 55.69 ?g/m³, 12.74 ?g/m³ and 2.06 ?g/m³ for PM; 2.59 ?g/m³, 0.27 ?g/m³ and 0.06 ?g/m³ for TRS; 3.45 ?g/m³, 0.47 ?g/m³ and 0.09 ?g/m³ for SOx; 189.36 ?g/m³, 34.88 ?g/m³ and 5.83 ?g/m³ for NOx; and 30.44 ?g/m³, 13.26 ?g/m³ (8 h), 5.63 ?g/m³ and 0.96 ?g/m³ for CO. Maximum concentrations estimated by the model for the pollutants were below the concentrations limits established by Conama Resolution 003/1990 and by USEPA standards for TRS pollutant. The observed concentrations of total suspended particulate matter (TSP) and particular matter (PM10) were represented fairly well, verifying a slightly underestimation of predicted values in comparison to those observed in air monitoring station. Therefore, the dispersion model can be used in a qualitative manner to indicate adequate local to measure the concentration of pollutants in an air quality monitoring network. It was found from literature that the maximum concentrations estimated for pollutants in the study area are below a significant value that could have harmful effect on human health.
publishDate 2014
dc.date.none.fl_str_mv 2014
2018-04-17T17:42:55Z
2018-04-17T17:42:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.uem.br:8080/jspui/handle/1/3740
url http://repositorio.uem.br:8080/jspui/handle/1/3740
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
Brasil
Departamento de Engenharia Química
Programa de Pós-Graduação em Engenharia Química
UEM
Maringá, PR
Centro de Tecnologia
publisher.none.fl_str_mv Universidade Estadual de Maringá
Brasil
Departamento de Engenharia Química
Programa de Pós-Graduação em Engenharia Química
UEM
Maringá, PR
Centro de Tecnologia
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
collection Repositório Institucional da Universidade Estadual de Maringá (RI-UEM)
repository.name.fl_str_mv Repositório Institucional da Universidade Estadual de Maringá (RI-UEM) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv
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