The present study deals with the effect of urbanization and automobile emission on ambient air quality of Bhubaneswar city, Odisha. This paper examines the significant difference in seasonal variations of air pollutant concentrations in the city.

The municipal solid waste (MSW) generated from different activities from various localities and a township in city areas is subject of deep concern for its proper management. The improper management of MSW is a major cause of air pollution. Present research deals with air quality parameter like SPM, RSPM, SO2 and NO2 in surrounding areas of MSW dump site Maihar district, Satna (M.P.).

Data on surface ozone concentration compiled for a 10-year period from 1990 to 1999 for Pune and Delhi are analyzed in terms of its frequency distribution, annual trend, diurnal variation and its relation with various meteorological and chemical parameters. It is found that the surface ozone concentration range showing highest frequency of occurrence at Pune is 0–5 ppb during winter and post-monsoon seasons and 15–20 ppb and 5–10 ppb during summer and monsoon seasons, respectively. It is 0–5 ppb at Delhi during all the seasons.

The atmospheric nitrous oxide mixing ratio has increased by 20% since 1750. Given that nitrous oxide is both a long-lived greenhouse gas and a stratospheric ozone-depleting substance, this increase is of global concern. However, the magnitude and geographic distribution of nitrous oxide sources, and how they have changed over time, is uncertain. A key unknown is the influence of the stratospheric circulation which brings air depleted in nitrous oxide to the surface.

The depiction of farming's greenhouse-gas footprint (estimated at 30.9% of total emissions) is derived from a 2007 report that used data from 2004 (Nature 479, 279; 2011). But relative estimates of emissions from different sources have altered appreciably since then, largely because fossil-fuel usage and cement production for building have both escalated. (Correspondence)

In the absence of historical field data, developing countries can rely on consistent current ground data and remote sensing assessments.