Transformation of nitrogen dioxide into ozone and prediction of ozone concentrations using multiple linear regression techniques

Ghazali, Nurul Adyani; Ramli, Nor Azam; Yahaya, Ahmad Shukri; Yusof, Noor Faizah Fitri Md; Sansuddin, Nurulilyana; Madhoun, Wesam Ahmed Al

doi:10.1007/s10661-009-0960-3

Cited by 94 publications

(71 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, bright sunshine hours were positively and significantly correlated with t ambient NO 2 concentrations and negatively with SO 2 concentrations. Although the ambient NO 2 and hours of bright sunshine were positively correlated with each other in the current study, Logan et al, (1981); Thompson (1992) and Ghazali et al, (2009) have shown that a considerable amount of NO 2 is converted to O 3 through photochemical reactions in the presence of sunlight. Similarly, the same correlation was observed by Trebs et al in 2009. The diversity and abundance of lichens are considered as indicators of environmental quality, where high values correspond to good air quality (Asta et al, 2002a(Asta et al, , 2002b.…”

Section: Discussioncontrasting

confidence: 62%

“…According to Rondon and Granat (1994), NO 2 also enters via the cuticle of leaves without internal resistance. The lower NO 2 concentrations at the HPNP might also be due to the conversion process, in which ambient NO 2 converts into O 3 in the presence of sunlight (Ghazali et al, 2009). In addition to individual effects, a combination of above factors may also have contributed to the low levels of NO 2 and SO 2 at HPNP.…”

Section: Discussionmentioning

confidence: 99%

“…Owing to the adverse effects caused by air pollution, studies on air quality parameters are becoming important in atmospheric and environmental research today (Ghazali et al, 2009). These adverse effects have direct and indirect consequences on ecosystems and the environment.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Correlation of atmospheric purity index to the diversity of lichens in the Horton Plains National Park, Sri Lanka

et al. 2017

View full text Add to dashboard Cite

Horton Plains National Park (HPNP) has been declared as a world heritage site, because of its unique biodiversity. Die-back of certain areas of this park is widely believed to be due to acidic precursor depositions carried over from other parts of the country and also from neighboring countries. Air pollution data for the two pollutants, NO 2 and SO 2 were obtained from the passive air sampling method. The data revealed that the concentrations of ambient NO 2 and SO 2 were very low in the HPNP. The variations of ambient NO 2 and SO 2 concentrations during the study period showed insignificant positive correlation (p≥ 0.05) with the rainfall data. Considering the variations of these two pollutants with Relative Humidity and the number of vehicles visiting HPNP, both pollutants had insignificant positive correlation. The Index of Atmospheric Purity (IAP) value obtained for the whole area of the HPNP was 54.22. This value belongs to the quality level 5 which represents the 'very low' pollution level. The results including lichen distribution and air quality data could confirm that the ambient air quality at HPNP is very high. The high diversity of lichens and the minimum levels of air pollutants suggested that the forest health of HPNP is at a favorable level. Therefore, it is essential to maintain at least the current air pollution level of HPNP in order to conserve the forest and its biodiversity.

show abstract

Section: Discussioncontrasting

confidence: 62%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Correlation of atmospheric purity index to the diversity of lichens in the Horton Plains National Park, Sri Lanka

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Dalam kajian terkini di Malaysia, siri masa ozon sering diramal menggunakan kaedah rangkaian neural dan model regresi linear berganda; contohnya, Ghazali et al (2010), Muhamad et al (2015) dan Tan et al (2016). Proses peramalan melalui kedua-dua kaedah adalah bergantung kepada faktor cuaca seperti suhu, kelembapan, radiasi dan kelajuan angin solar serta faktor-faktor gas seperti gas pelopor metana (CH 4 ), karbon monoksida (CO) dan nitrogen oksida (NO x ).…”

Section: Pengenalanunclassified

Aplikasi Model Baharu Penambahbaikan Pendekatan Kalut ke atas Peramalan Siri Masa Kepekatan Ozon

Hamid

Noorani²

2017

JSM

View full text Add to dashboard Cite

ABSTRAK Kajian ini merupakan aplikasi pendekatan kalut ke atas peramalan siri masa bahan pencemar udara ozon di stesen asas Malaysia yang terletak di (2016) melaporkan bahawa pencemaran ozon meningkatkan kadar kematian kerana ia membawa kepada pelbagai penyakit pernafasan dan kardiovaskular. Oleh itu, pembangunan model peramalan ke atas siri masa bahan pencemar udara ozon adalah penting.Sifat sesebuah siri masa boleh dikelaskan kepada berketentuan atau rawak. Siri masa berketentuan adalah siri masa yang boleh diramal manakala siri masa rawak tidak boleh diramal. Sifat kalut berada antara sifat berketentuan dan rawak (Abarbanel 1996). Siri masa kalut boleh diramal; walau bagaimanapun, disebabkan oleh kebergantungan sensitif kepada keadaan awal, maka, bagi sesebuah siri masa kalut, hanya peramalan jangka pendek dibenarkan (Sprott 2003).Terdapat pelbagai pendekatan yang telah digunakan oleh kajian lepas untuk menguji sama ada siri masa ozon adalah kalut atau tidak. Menggunakan kaedah matra korelasi, kamiran kolerasi, entropi dan eksponen Lyapunov, kajian seperti Chattopadhyay dan Chattopadhyay Plot ruang fasa dan kaedah Cao (Cao 1997) dapat mengklasifikasikan sifat siri masa. Walau bagaimanapun, kaedah ini jarang digunakan ke atas siri masa ozon walaupun kedua-dua telah terbukti berkesan oleh kajian

show abstract

“…Several researchers have demonstrated through data, the existence of a correlation between seasonal trends in the level of ozone concentrations are the local surroundings of various monitoring stations (Adeeb and Shooter 2004;Duenas et al, 2004;Feng et al, 2005;Lee et al, 2009;Piikki and Klingberg, 2009;Azmi et al, 2010). The trend analysis of ozone always has maintained a relationship with the trends of VOC, NO and NOx in both urban and suburban areas (Atkinson, 2000;Ghazali et al, 2010;Keuken et al, 2009;Martin et al, 2009;Milt et al, 2009). Local concentrations of ozone are reduced in the vicinity of heavy vehicular traffic as a results of ozone scavenging by NO and NO 2 (Atkinson, 2000;Ahammed et al, 2006;Tu et al, 2007;Chen et al, 2009).…”

Section: Introductionmentioning

confidence: 98%

Variation of Surface Ozone Recorded at the Eastern Coastal Region of the Malaysian Peninsula

Ismail

Latif²,

Azmi

et al. 2010

American Journal of Environmental Sciences

View full text Add to dashboard Cite

Problem statement:Variations of ozone (O 3 ) concentrations in the Eastern Coastal Region of the Malaysia peninsula were investigated using data obtained from the Malaysian Department of the Environment. The aim of this study was to determine the monthly and seasonal variations of ozone concentrations at all monitoring sites. This study deals with the air quality data recorded at four air quality monitoring stations in the East Coast of the Malaysian peninsula over a ten year period (1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006). Approach: We focused on the usage of S-Plus and SPSS to analyze this data. The S-Plus programming was used to impute missing data and SPSS was used to obtain the variations of ozone and also to clarify the relationship between stations. Results: Over the entire 10 year period (1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006), the trend in annual baseline ozone generally increased each year for all the four monitoring sites. There was also a seasonal variability in the measured ozone levels with high concentrations during the southwest monsoon and the northeast monsoon season, producing a significant increase in the amplitude of the seasonal cycle. The results also shown that the highest ozone concentrations were recorded at the Bukit Kuang air monitoring station (S1), with a daily mean value of 19 ppb followed by the Indera Mahkota air monitoring station (S2). The concentration of ozone recorded at Kota Bharu (S3) and Kuala Terengganu (S4), two stations located in the city centre, was found to be lower than the values recorded at Bukit Kuang and Indera Mahkota. The correlation between O 3 and NO is high at Kuala Terengganu (S4) (ρ = -0.579), whilst the relationship between O 3 and NO 2 are high (ρ = -0.397) at Indera Mahkota (S2). Conclusion: The concentration of ozone in the East Coast of Malaysian peninsula depends on the concentration of NOx and seasonal meteorological factors.

show abstract

Transformation of nitrogen dioxide into ozone and prediction of ozone concentrations using multiple linear regression techniques

Cited by 94 publications

References 5 publications

Correlation of atmospheric purity index to the diversity of lichens in the Horton Plains National Park, Sri Lanka

Correlation of atmospheric purity index to the diversity of lichens in the Horton Plains National Park, Sri Lanka

Aplikasi Model Baharu Penambahbaikan Pendekatan Kalut ke atas Peramalan Siri Masa Kepekatan Ozon

Variation of Surface Ozone Recorded at the Eastern Coastal Region of the Malaysian Peninsula

Contact Info

Product

Resources

About