NDLI: Analysis of long-term ozone trend over Delhi and its meteorological adjustment

Content Provider	Springer Nature Link
Author	Jayaraman, G. Ghosh, C. Kumari, S.
Copyright Year	2013
Abstract	Present study deals with the statistical analysis of long-term ground level ozone (O$_{3}$) trend and the influence of meteorological variables on its variation over Delhi, India. Daily mean and maximum of O$_{3}$ and meteorological data, obtained from India Meteorological Department, were arranged for the period of 9 years (1998–2006). Based on the preliminary correlation study of all the data with O$_{3}$, six variables viz. daily maximum temperature, daily average relative humidity, dew point, wind speed, visibility, and total sunshine were selected. Classical additive time series decomposition technique was used to obtain seasonally adjusted long-term trend. To analyze the masking effect of meteorology, adjustment was made using Kolmogorov–Zurbenko filters followed by stepwise regression analysis to the smoothed series of O$_{3}$ maximum and meteorological variables, which showed that long-term trend was independent of sunshine duration. Results indicate a significant increasing trend with annual increase of 1.13 % for O$_{3}$ mean and 3 % for O$_{3}$ maximum. Annual deseasonalized trend for seasonal cycle shows bimodal oscillations. About 43 % of O$_{3}$ variation was explained by the selected meteorological factors and rest of variation attributed to factors like emission of precursor gases, pollutant transport, policy changes, etc. Among the three tested regression models, performance of Model 2 with variable temperature, wind speed, and visibility was found to be best that resulted in lowering of O$_{3}$ trend. Large variability (23 %) was explained by the variable visibility depicted that the emission of primary pollutants not only provides the precursor gases but also control the local photochemical reactions.
Starting Page	1325
Ending Page	1336
Page Count	12
File Format	PDF
ISSN	17351472
Journal	International Journal of Environmental Science & Technology
Volume Number	10
Issue Number	6
e-ISSN	17352630
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-02-05
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Kolmogorov–Zurbenko filters Ecotoxicology Ozone mean Water Management Waste Water Technology Meteorological variables Ozone maximum Aquatic Pollution Time series decomposition Environment Water Pollution Control Environmental Chemistry Ground level ozone Environmental Science and Engineering Soil Science & Conservation
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Environmental Engineering Agricultural and Biological Sciences

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