1. Title, Journal and Authors

Title: Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors

Journal: Environmental science & Technology

Authors: Aaron van Donkelaar*†, Randall V. Martin†‡, Michael Brauer§, N. Christina Hsu∥, Ralph A. Kahn∥, Robert C. Levy∥, Alexei Lyapustin∥, Andrew M. Sayer∥⊥, and David M. Winker#

†Department of Physics and Atmospheric Science, Dalhousie University, Halifax, N.S. Canada

‡Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts 02138, United States

§School of Population and Public Health, The University of British Columbia, 2206 East Mall, Vancouver, British Columbia V6T1Z3, Canada

∥NASA Goddard Space Fighter Center, Greenbelt, Maryland 20771, United States

⊥Goddard Earth Sciences Technology and Research, Universities Space Association, Greenbelt, Maryland 20771, United states

# NASA Langley Research Center, Hampton, Virginia 23665, United States

 

2. Summary

The objective of this paper is to estimate the global PM2.5 concentrations with a combination of various information from satellite, simulation, and monitoring by applying a GWR (Geographically Weighted Regression).

 

AOD (Aerosol Optical Depth) was calibrated by using the simulation results and the satellite observations based on ground-based monitoring. Then, GWR adjusted satellite data (R2=0.81) was developed with the simulation results.

 

The satellite data were obtained by adapting the adequate retrieval algorithms. The simulation was done by GEOS-Chem, a transport model. Ground-based monitoring was carried out with AERONET data.

 

The GWR adjusted satellite data and GBD (Global Burden Disease) data were compared to estimate the global PM2.5 concentrations. As a result, it was verified that the global population-weighted annual mean PM2.5 concentration of 32.6 μg/m3 was three times higher than the WHO guideline of 10 μg/m3. Especially, the concentrations of Asia and Africa were estimated very highly.

 

There were too many areas to affect the uncertainties of the simulation, resulting from both sparse ground-based monitoring and challenging conditions for retrieval and simulation.

 

3. Contact

Dae Seong Jeong / Intern student

 

Environmental Systems Engineering Lab.

School of Environmental Science & Engineering

Gwangju Institute of Science and Technology

1 Oryong-dong Buk-gu Gwangju, 500-712, Korea

 

Phone : +82-10-2003-7860

 

E-mail : jeongds92@gist.ac.kr