Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations

Abdul‐Wahab, Sabah A.; Bakheit, Charles S.; Al-Alawi, S.M.

doi:10.1016/j.envsoft.2004.09.001

Cited by 383 publications

(198 citation statements)

References 24 publications

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“…At the surface or ground level, ozone (O3) is a secondary air pollutant that created by chemical reaction that occurs in atmosphere which give harmful effects on human health, crop production, material quality, and the ecosystem [3,4]. This is the primary cause why the presence of O3 is becoming a severe environmental problem because it is hard to control and predict [5]. Besides that, ozone is unique among pollutants because it is not directly emitted by combustion processes or any other sources of air pollutants but it is formed photochemically from the sunlight-initiated oxidation of volatile organic compounds (VOCs) in the presence of nitrogen oxides (NOx) in the atmosphere [6].…”

Section: Introductionmentioning

confidence: 99%

Temporal Characterisation of Ground-level Ozone Concentration in Klang Valley

2018

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Abstract. In Malaysia, ground-level ozone (O3) is one of the most significant air pollutants due to the increasing sources of ozone precursors. Hence, the surface O3 concentration should have received substantial attention because of its negative effects to human health, vegetation and the environment. In this study, hourly air pollutants dataset (i.e O3, Carbon monoxide (CO), Nitrogen dioxide (NO2), Particulate matter (PM10), Nonmethane hydrocarbon (NmHC), Sulphur dioxide (SO2)) and weather parameters (i.e. wind speed (WS), wind direction (WD), temperature (T), ultraviolet B (UVB)) for ten years period (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) in Klang Valley were selected for analysis in this study. Two monitoring stations were selected that are Petaling Jaya and Shah Alam. The aim of the study is to determine the diurnal variations of O3 concentrations according to the seasonal monsoon and the correlation between the ground-level O3 concentration and others parameter. A high concentration of ground-level O3 was observed during the first transition (April to May) for both of the stations. While at a low surface, O3 concentration was found out during the southwest monsoon within June to September. Pearson correlation was used to find the correlation between the O3 concentration and all other pollutants and weather parameters. Most of the relationship between O3concentrationswas positively correlated with NO2 and negative relationship was found out with NMHC. These results were expected since these pollutants are known as the O3 precursors. Besides that, O3 concentration and its precursors show a positive significant correlation with all meteorological factors except for relative humidity.

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Section: Introductionmentioning

confidence: 99%

Temporal Characterisation of Ground-level Ozone Concentration in Klang Valley

2018

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“…Therefore, it is mandatory to keep the concentration of these pollutants below permissible level in which the concentration will not affect humans health. High concentration of NO 2 and PM 10 is known to affect human health, whereas O 3 is responsible for photochemical smog [1]. High concentration of PM 10 increase the risk of cardiovascular and respiratory diseases [2].…”

Section: Introductionmentioning

confidence: 99%

“…In regression analysis, this is particularly very useful and become good input as predictors in a regression model since they optimize spatial patterns and remove complexity due to multicollinearity [8], [9]. ICR and PCR have been widely used in particular for plant study [9], dam deformation study [10], air pollutants in subway [11], air quality management [2], [3], [12], and O 3 prediction [1].…”

Section: Introductionmentioning

confidence: 99%

Prediction Model of Air Pollutant Levels Using Linear Model with Component Analysis

Syafei¹,

Fujiwara²,

Zhang³

2015

IJESD

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“…Scavenging processes dominate the removal of O 3 by NO titration and SO 2 oxidation (Abdul-Wahab et al 2005;Iliadis et al 2007). Menon et al (2002) and Akimoto (2003) reported O 3 destruction by air-borne particulates.…”

Section: Introductionmentioning

confidence: 99%

“…By applying multiple linear regressions (MLR), several functions can be fitted to the pollution data in terms of selected predictors. This approach is generally suitable for description of complex site-specific relations between concentrations of air pollutants and potential predictors (Abdul-Wahab et al 2005;Swamy et al 2013a).…”

Section: Introductionmentioning

confidence: 99%

Environmental monitoring of surface ozone and other trace gases over different time scales: chemistry, transport and modeling

Venkanna

Nikhil

Rao

et al. 2014

Int. J. Environ. Sci. Technol.

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Increasing concentration of tropospheric ozone (O 3 ) is a serious air pollution problem faced commonly by the urban people. The present study emphasizes on variations of air pollutant concentrations viz., O 3 , nitrogen oxides (NO x ), carbon monoxide (CO), sulfur dioxide (SO 2 ) and black carbon (BC) at a tropical urban site located in the Deccan plateau region with semi-arid climate. The air monitoring site revealed typical diurnal/seasonal trends attributing to the complex chemistry of surface O 3 formation from its precursors. Role of SO 2 in the formation of free radical (HO Á 2 ) and its impact on O 3 concentration is distinguished part of the study. The results showed the highest mean O 3 in summer (57.5 ± 15.2 ppbv) followed by winter and monsoon. Observations of BC aerosols showed the highest mean value during winter (8.2 ± 2 lg m -3 ) and the lowest in monsoon (4.2 ± 1 lg m -3 ). Besides local influences, long-range transport of air masses were also studied by simulating back trajectories at different elevations during the study period. Furthermore, statistical analysis and modeling was performed with both linear (regression) and nonlinear (neural network) methods.

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Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations

Cited by 383 publications

References 24 publications

Temporal Characterisation of Ground-level Ozone Concentration in Klang Valley

Temporal Characterisation of Ground-level Ozone Concentration in Klang Valley

Prediction Model of Air Pollutant Levels Using Linear Model with Component Analysis

Environmental monitoring of surface ozone and other trace gases over different time scales: chemistry, transport and modeling

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