Transformation of nitrogen dioxide into ozone and prediction of ozone concentrations using multiple linear regression techniques.
Analysis and forecasting of air quality parameters are important topics of atmospheric and environmental research today due to the health impact caused by air pollution. This study examines transformation of nitrogen dioxide (NO(2)) into ozone (O(3)) at urban environment using time series plot. Data on the concentration of environmental pollutants and meteorological variables were employed to predict the concentration of O(3) in the atmosphere. Possibility of employing multiple linear regression models as a tool for prediction of O(3) concentration was tested. Results indicated that the presence of NO(2) and sunshine influence the concentration of O(3) in Malaysia. The influence of the previous hour ozone on the next hour concentrations was also demonstrated.
Ghazali
Nurul Adyani
NA
Clean Air Research Group, Environmental and Sustainable Development Section, School of Civil Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Pulau Pinang, Malaysia. iltizam30@yahoo.com
Ramli
Nor Azam
NA
Yahaya
Ahmad Shukri
AS
Yusof
Noor Faizah Fitri M D
NF
Sansuddin
Nurulilyana
N
Al Madhoun
Wesam Ahmed
WA
D004784:Environmental Monitoring; D005544:Forecasting; D016014:Linear Models; D008296:Malaysia; D009585:Nitrogen Dioxide / Q000032:analysis*; D010126:Ozone / Q000032:analysis*; D013997:Time Factors; D014505:Urban Population
D010126:Ozone; D009585:Nitrogen Dioxide