dor_id: 4134825

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Atmósfera", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Scientific Electronic Library Online (SciELO); SCOPUS, Web Of Science (WoS); SCImago Journal Rank (SJR)

561.#.#.u: https://www.atmosfera.unam.mx/

561.#.#.a: no

650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://www.revistascca.unam.mx/atm/index.php/atm/index

351.#.#.b: Atmósfera

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53056/46913

100.1.#.a: Mendes, Luiza Maria Marcos Cerqueira; Carvalho, Vanessa Silveira Barreto; Martins, Fabrina Bolzan; Albuquerque, Taciana Toledo De Almeida

524.#.#.a: Mendes, Luiza Maria Marcos Cerqueira, et al. (2023). Patterns related to pollutant concentrations in the Metropolitan Area of Belo Horizonte, Brazil. Atmósfera; Vol. 36 No. 2, 2023; 329-341. Recuperado de https://repositorio.unam.mx/contenidos/4134825

245.1.0.a: Patterns related to pollutant concentrations in the Metropolitan Area of Belo Horizonte, Brazil

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

264.#.0.c: 2023

264.#.1.c: 2023-01-17

653.#.#.a: ANOVA; Ozone; Particulate Matter

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico editora@atmosfera.unam.mx

884.#.#.k: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53056

001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/53056

041.#.7.h: eng

520.3.#.a: Air pollution from human and industrial activities has been a major concern in recent years. Among the various pollutants found in the atmosphere, particulate matter (PM) and ozone (O3) show significant occurrences, with high concentrations in urban centers frequently associated with environmental and public health problems. Therefore, this study uses the analysis of variance (ANOVA) technique and Tukey’s test to investigate patterns related to the variability of maximum daily O3 concentrations and mean daily concentrations of PM with a diameter less than 10 μm (PM10), registered between 2007 and 2012 through six sites in the Metropolitan Area of Belo Horizonte, Brazil. To this end, the data were analyzed using ANOVA arranged in a factorial scheme (6 × 4 × 2) with four repetitions per treatment, followed by Tukey’s test. In the ANOVA and Tukey’s test, the first factor (A) represents the six air quality monitoring stations, the second (B) represents the seasons, and the third (C), the measurements carried out during working days and weekends. Seasonal variability patterns show higher concentrations of O3 in spring and of PM10 in winter. The values were 22.9 and 35.32% higher than the annual averages of O3 and PM10 concentrations, respectively. The mean values for working days and weekends showed different patterns for the two pollutants. PM10 concentrations were 11% higher during working days when compared to weekends. The O3 weekend effect was found only in one of the stations. The profiles of vehicular and industrial emissions have been identified as a potential factor leading to these results.

773.1.#.t: Atmósfera; Vol. 36 No. 2 (2023); 329-341

773.1.#.o: https://www.revistascca.unam.mx/atm/index.php/atm/index

022.#.#.a: ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

310.#.#.a: Trimestral

300.#.#.a: Páginas: 329-341

264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

doi: https://doi.org/10.20937/ATM.53056

handle: 0c025a413e12db24

harvesting_date: 2023-06-20 16:00:00.0

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last_modified: 2023-06-20 16:00:00

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