Impact of meteorological factors on ozone concentrations modelled by time series analysis and multivariate statistical methods

Kovač-Andrić, Elvira; Brana, Josip; Gvozdić, Vlatka

doi:10.1016/j.ecoinf.2009.01.002

Cited by 89 publications

(46 citation statements)

References 19 publications

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“…Humidity is another factor that influences formation of CCP of O 3 . High RH condition enhanced O 3 destruction as a result of the reduction in photochemical efficiency and the increase in wet deposition process (Kovac-Andric et al, 2009;Toh et al, 2013).…”

Section: A) Clustermentioning

confidence: 99%

“…PCA is widely known due to its capability to detect the most significant variables in dataset with minimum loss of the original information (Dominick et al, 2012;Elbayoumi et al, 2014). Principal components (PCs) were extracted, such that the first PC (PC1) accounted for the largest amount of total variation in the data set, whereas the following components accounted for the remaining variations that were not considered in PC1 (Kovac-Andric et al, 2009). PCs are generally expressed as follows:…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

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The Influence of Spatial Variability of Critical Conversion Point (CCP) in Production of Ground Level Ozone in the Context of Tropical Climate

Awang

Elbayoumi

Ramli

et al. 2016

Aerosol Air Qual. Res.

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Critical conversion point (CCP) is a very crucial step in production of the ground level O 3 chemistry. Thus, a multivariate analysis was applied on the dataset of nine selected locations in Malaysia from 1999 to 2010. It incorporated hierarchical agglomerative cluster analysis (HACA) to explore the spatial variability of CCP and principal component analysis (PCA) to determine the major sources of the air pollutants that influence ozone CCP. High variability in CCP was observed between the monitoring stations that occurred during critical conversion time (CCT) from 8:00 a.m. to 11:00 a.m. The HACA results grouped the nine monitoring stations into three different clusters, based on the characteristics of ozone concentrations during CCT period. Results of PCA for the three clusters showed that the contributions to O 3 level variation during CCT by meteorological variables (UVB, temperature, relative humidity, and wind speed) are higher at 51.6%, 48.5%, and 33.3% than that of primary air pollutants (NO 2 , SO 2 , PM 10 ) at 19.2%, 21.4%, and 15.2% for cluster 1, cluster 2, and cluster 3, respectively. Therefore, applying a targeted spatial control strategy for ground level O 3 precursors during the CCT period is a crucial step.

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Section: A) Clustermentioning

confidence: 99%

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

The Influence of Spatial Variability of Critical Conversion Point (CCP) in Production of Ground Level Ozone in the Context of Tropical Climate

Awang

Elbayoumi

Ramli

et al. 2016

Aerosol Air Qual. Res.

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show abstract

“…Além disso, a concentração temporal desse poluente é significativamente acompanhada das condições meteorológicas, incluindo a radiação solar, temperatura do ar, umidade relativa, precipitação e velocidade e direção do vento (Hastie et al, 1999;Kovač--Andrić, Brana & Gvozdić, 2009). O O 3 , no nível da superfície, tem efeitos negativos sobre a saúde humana, tais como dor de cabeça, irritação nos olhos, infecção respiratória e inflamação dos pulmões, bem como sobre a agricultura (Ashmore, 2005;Pinto, Blande, Souza, Amnerg & Holopainen, 2010).…”

Section: Introductionunclassified

Impacto De Fatores Meteorológicos Sobre as Concentrações De Ozônio Modelados Por Análise De Séries Temporais E Métodos Estatísticos Multivariados

Souza

Santos

Aristone

et al. 2017

HOLOS

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O objetivo desta pesquisa foi de desenvolver um modelo para prever as concentrações de ozônio em função das variáveis climáticas. As medidas de concentração do ozônio foram realizadas na Universidade Federal de Mato Grosso do Sul, utilizando dados do período de janeiro a dezembro de 2014. As variáveis preditoras referentes ao clima (umidade relativa, velocidade do vento, chuva, aeerossóis, índice de claridade, radiação solar global e temperatura) foram cedidas pela CEMTEC-Campo Grande-MS. Foram realizadas análise de componentes principais (PCA) e análise de regressão linear múltipla (MLR) aplicadas a estas séries temporais. As principais relações observadas nestas análises foram então usadas para obter uma equação de regressão que liga as concentrações de ozônio diurnas com parâmetros climáticos. O modelo desenvolvido é capaz de explicar 99% da variabilidade nas concentrações de ozônio de superfície com um erro de 0,2%

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“…In this study the data obtained in the period of continuous ozone monitoring (no missing data) were analyzed by applying Fourier analysis in order to identify significant regularities as well as possible less noticeable ones in t-domain. 8,13,17 …”

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

“…4 Ozone is a phytotoxic pollutant and agent of climate change and is still considered the most important pollutant in the air for plants because an increase in background ozone concentrations over 40 ppb by a few ppb can lead to severe damage symptoms such as flecks, bleaching, bleached spotting or growth suppression. [5][6][7][8] Although emissions of ozone precursors fell during the most recent period in Europe, ozone is still an air pollutant of major concern for plants because of meteorological variability and the increasingly growing longdistance transport of pollution. 9 Various factors play a crucial role in the production and destruction of ozone.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Variations of O3 Concentrations in Kopački Rit Nature Park, Eastern Croatia

Kovač-Andrić¹,

Gvozdić²,

Muharemović³

2013

Croat. Chem. Acta

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Abstract. Result of the first ozone monitoring in ambient air Nature Park of Kopački Rit (Eastern Croatia) are reported for the growth season in 2008. The measured hourly concentrations of ozone in the air do not exceed the limit value of 110 μg m -3 statutory regulation by Croatian legalization for the protection of human health. There were only 13 days exceeding of the target value of 120 μg m -3 (8-h averages) as established in the European Union guidelines on ozone pollution in ambient air. In contrast to the measured AOT40 whose value does not exceed the critical level of 18 000 (µg m -3 ) · h for vegetation injury, an estimated AOT40 value was somewhat higher. The relationships between O 3 and meteorological variables were investigated by a principal component analysis (PCA). Fourier analysis methods applied to ozone concentrations data showed that the most important variations in the O 3 data are represented by usual daily cycles. (doi: 10.5562/cca2147)

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Impact of meteorological factors on ozone concentrations modelled by time series analysis and multivariate statistical methods

Cited by 89 publications

References 19 publications

The Influence of Spatial Variability of Critical Conversion Point (CCP) in Production of Ground Level Ozone in the Context of Tropical Climate

The Influence of Spatial Variability of Critical Conversion Point (CCP) in Production of Ground Level Ozone in the Context of Tropical Climate

Impacto De Fatores Meteorológicos Sobre as Concentrações De Ozônio Modelados Por Análise De Séries Temporais E Métodos Estatísticos Multivariados

Assessment of Variations of O3 Concentrations in Kopački Rit Nature Park, Eastern Croatia

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