Correlações canônicas entre as variáveis meteorológicas e a poluição atmosférica no município de Cuiabá – MT

Detalhes bibliográficos
Ano de defesa: 2020
Autor(a) principal: Andrade, Levi Pires de
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Mato Grosso
Brasil
Instituto de Física (IF)
UFMT CUC - Cuiabá
Programa de Pós-Graduação em Física Ambiental
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://ri.ufmt.br/handle/1/5505
Resumo: In the last decades Cuiabá has experienced a marked population growth and together a large increase of the built and paved areas, as well as a significant increase in the number of motor vehicles. With this, the concentration levels of particulate matter have exceeded the tolerable limits indicated by the World Health Organization. This research has as general objective the study of the correlations between the meteorological variables, Air Temperature, Relative Humidity, Wind Speed, Solar radiation, wind gust velocity and atmospheric pollutant concentrations, MP (Particulate Material diameter less than 2.5 μm) and carbon monoxide. To broaden the understanding of these interdependencies, the research analyzed the correlations between the type of urban land use and the resulting in the microclimate variations. Canonical Correlation Analysis was applied to the data obtained from INMET, SEMA- MT, and measurements performed in two transects. The study shows that Cuiabá air quality is inadequate with particulate matter concentrations above the WHO indicated limits which is [MP2,5] = 25 μg.m-3. All monthly averages exceeded this limit with values ranging from 58.11 μg.m-3 in February 2018 to 142.3 μg.m-3 in June 2019, and that these concentrations correlate with meteorological variables with canonical correlation coefficient equal to 0.61. The study also shows that the type of land use interferes with microclimatic variations with a canonical correlation coefficient of 0.305. These interdependencies involving air pollution, meteorological aspects, land use and microclimatic variations are a challenge for city managers to redefine public policies and plans that can minimize the effects of pollution.