与巴西贝洛奥里藏特都市区污染物浓度数据相关的模式

IF 1 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
Atmosfera Pub Date : 2021-10-08 DOI:10.20937/atm.53056
Luiza Maria Marcos Cerqueira Mendes, V. S. B. Carvalho, Fabrina Bolzan Martins, Taciana Toledo de Almeida Albuquerque
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引用次数: 0

摘要

近年来,人类和工业活动造成的空气污染一直是一个主要问题。在大气中发现的各种污染物中,颗粒物(PM)和臭氧(O3)显著存在,几个城市中心的高浓度经常与环境和公共卫生问题有关。因此,本研究使用方差分析(ANOVA)技术和Tukey检验来调查与2007年至2012年间在巴西贝洛奥里藏特大都会区(MABH)的六个地点登记的O3最大日浓度和直径小于10μm的颗粒物(PM10)平均日浓度变化相关的模式。为此,使用因子分析法(6 x 4 x 2)对数据进行分析,每次治疗重复四次,然后进行Tukey检验。在方差分析和Tukey检验中,第一个因素(A)代表六个空气质量监测站,第二个因素(B)代表季节,第三个因素(C)代表在工作日和周末进行的测量。季节变化模式显示,春季O3浓度较高,冬季PM10浓度较高。工作日和周末的平均值显示出两种污染物的不同模式。对于PM10,与周末相比,工作日的浓度更高。对于O3,仅在其中一个站点中发现了周末效应。车辆和工业排放情况已被确定为导致这些结果的潜在因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Patterns related to the pollutant concentration data in the Metropolitan Area of Belo Horizonte, Brasil
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 several 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 the patterns related to the variability of maximum daily concentrations of O3 and mean daily concentrations of particulate matter with a diameter inferior to 10 μm (PM10), registered between 2007 and 2012 through six sites in the Metropolitan Area of Belo Horizonte (MABH), Brazil. To this end, the data were analyzed using ANOVA arranged in a factorial scheme (6 x 4 x 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 the Spring and PM10 in the Winter. The mean values for working days and weekends showed different patterns for the two pollutants. For PM10, the concentrations were higher during the working days when compared to the weekends. For O3, the weekend effect was found only in one of the stations. The profiles of vehicular and industrial emissions have been identified as a potential factor that led to these results.
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来源期刊
Atmosfera
Atmosfera 地学-气象与大气科学
CiteScore
2.20
自引率
0.00%
发文量
46
审稿时长
6 months
期刊介绍: ATMÓSFERA seeks contributions on theoretical, basic, empirical and applied research in all the areas of atmospheric sciences, with emphasis on meteorology, climatology, aeronomy, physics, chemistry, and aerobiology. Interdisciplinary contributions are also accepted; especially those related with oceanography, hydrology, climate variability and change, ecology, forestry, glaciology, agriculture, environmental pollution, and other topics related to economy and society as they are affected by atmospheric hazards.
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