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Fractal dimension of natural objects from nano-to-macro scale: an intrinsic property of material

Impact of road-space-rationing method on regional air quality

Source attributed premature mortality from ambient PM2.5 exposure

Aerosol acidity remains high despite declining sulfate concentration

Aerosol burden expected to increase in a warmer world

Challenges in quantifying aerosol-induced changes in cloud properties

Recent Indo-Pacific SST trends suppress rainfall in mid-latitude East Asia

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IASTA e-Bulltein |  Vol. 4 No.1 Home
The plot clearly shows the wavelength dependence (more extinction at shorter wavelengths). It is evident from the figure that higher AODs observed on 02 & 04January, 2016, which may be due to combined effect of Western Disturbances-induced Air Mass trajectories (Figure 4).However, because winds can advect foreign particles from upwind regions, and also scavenge existing particles over the study region, the influence of winds on air quality is complex.

The air-mass back-trajectories of 5-day (120 hours) have been obtained using the NOAA-ARL HYSPLIT (Hybrid Particle Lagrangian Integrated Trajectory) model for all the observation days and shown plotted in Figure 7. Evidently, on 02, 06, 07, 12, 19 and 20 January 2016, particulate fraction is relatively dominant from the land-origin. On the remaining days, the contribution to the pollution at the observing site comes from both land and marine sources.

From the above, it can be said that the study of air quality monitoring clearly reveals the benefit of odd-even campaign. The study, however, continues to bring out a clearer picture in respect of the correlation between weather condition and air quality.


Fig. 4: Diurnal variation of Particulate Matter (PM1, PM2.5 and PM10) on different observation days over AUH, Panchgaon-Manesar-Gurgaon.

Fig. 5: Day-to-day variation in PM mass concentration during 29 December 2015-20 January 2016

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