Literature DB >> 25244965

Spatial and temporal patterns of air pollutants in rural and urban areas of India.

Disha Sharma1, U C Kulshrestha2.   

Abstract

In this study, we analysed spatial and temporal patterns of Suspended Particulate Matter (SPM) concentrations across India. We have also assessed MODIS-derived aerosol optical depth (AOD) variations to characterize the air quality and relate it to SPM, NO2 and SO2 in different areas. In addition, the pollutant concentrations have been mapped using geospatial techniques. The results indicated significant differences in air pollutant levels across rural and urban areas. In general, districts of central and northern India had relatively higher SPM concentrations compared to southern India. Out of the top ten SPM polluted districts in India, nine were located in the state of Uttar Pradesh (UP). We observed significant correlations between the SPM and AOD at different sites. Although spatial and temporal patterns of NO2 and SO2 matched AOD patterns, the correlation strength (r2) varied based on location. The causes and implications of these findings are presented.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  AOD; Air quality parameters; NO(2); SO(2); SPM; Satellite data

Mesh:

Substances:

Year:  2014        PMID: 25244965     DOI: 10.1016/j.envpol.2014.08.026

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  3 in total

1.  Wavelets-based clustering of air quality monitoring sites.

Authors:  Sónia Gouveia; Manuel G Scotto; Alexandra Monteiro; Andres M Alonso
Journal:  Environ Monit Assess       Date:  2015-10-19       Impact factor: 2.513

2.  Revisiting the Observed Correlation Between Weekly Averaged Indian Monsoon Precipitation and Arabian Sea Aerosol Optical Depth.

Authors:  Disha Sharma; Ron L Miller
Journal:  Geophys Res Lett       Date:  2017-08-10       Impact factor: 4.720

3.  Use of spatiotemporal characteristics of ambient PM2.5 in rural South India to infer local versus regional contributions.

Authors:  M Kishore Kumar; V Sreekanth; Maëlle Salmon; Cathryn Tonne; Julian D Marshall
Journal:  Environ Pollut       Date:  2018-05-08       Impact factor: 8.071

  3 in total

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