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Surface PM2.5 Estimate Using Satellite-derived Aerosol Optical Depth over India

Category: Air Pollution Modeling

Accepted Manuscripts
DOI: 10.4209/aaqr.2017.12.0568
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Rama K. Krishna1, Sachin D. Ghude1, Rajesh Kumar2, Gufran Beig1, Rachana Kulkarni1, Sandip Nivdange3, Dilip Chate1

  • 1 Indian Institute of Tropical Meteorology, Pune, Maharashtra 411008, India
  • 2 National Center for Atmospheric Research, Boulder, CO 80305, USA
  • 3 Department of Environmental science, University of Pune, Pune, Maharashtra 411007, India


Estimation of surface PM2.5 concentration over Indian region using satellite AOD.
Identify PM2.5 spatial distribution with high-resolution.
Validation of estimated daily PM2.5 with in situ measurements over urban clusters.


Concentration of fine particulate matter (PM2.5) beyond its air quality standard affects human health and has impact on the Earth’s radiation budget. Lack of round the clock ground-based observations of PM2.5 with the dense network of air quality stations, inhibits the understanding of their spatiotemporal variability and assessment of their health and climate impacts. Aerosol optical depth (AOD) retrieved from the satellite based instruments can be used to derive surface PM2.5 concentrations. This study integrates Moderate Resolution Imaging Spectroradiometer (MODIS) AOD retrievals with simulations from the Weather Research and Forecasting Model coupled with Chemistry (WRF-Chem) to determine the ground-level PM2.5 concentrations spatially of 36 km resolution over India. WRF-Chem simulations provide the factor relating AOD with PM2.5. Satellite-derived PM2.5 mass concentrations are compared with the available ground based observations over India for the year of 2011. The results show correlation between satellite-derived monthly PM2.5 estimate and ground-based observations for 15 stations in India with coefficient of 77% and on diurnal scale coefficient varied from 0.45 to 0.75. The best estimations of PM2.5 mass concentrations on spatio-temporal scale over India address the various environmental issues.


AOD PM2.5 Spatio-temporal variability of PM2.5 Impact assessment

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