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Surface PM_(2.5) Estimate Using Satellite-Derived Aerosol Optical Depth over India

摘要


Concentrations of fine particulate matter (PM_(2.5)) that exceed air quality standards affect human health and have an impact on the earth's radiation budget. The lack of round the clock ground-based observations from a dense network of air quality stations inhibits the understanding of PM_(2.5)'s spatio-temporal variability and the assessment of its health and climate effects. Aerosol optical depth (AOD) values retrieved from satellite based instruments can be used to derive surface PM_(2.5) concentrations. This study integrates Moderate Resolution Imaging Spectroradiometer (MODIS) AOD retrievals and simulations from the Weather Research and Forecasting Model coupled with Chemistry (WRF-Chem) to determine the ground-level PM_(2.5) concentrations at a 36 km resolution across India. WRF-Chem simulations provide the factor relating the AOD with the PM_(2.5). Satellite-derived PM_(2.5) mass concentrations are compared with the available ground-based observations across India for the year of 2011. The results show a correlation between the satellite-derived monthly PM_(2.5) estimates and the ground-based observations for 15 stations in India with coefficients of 77% and diurnal scale coefficients varying from 0.45 to 0.75. The best estimations of PM_(2.5) mass concentrations on a spatio-temporal scale across India address various environmental issues.

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