By Topic

A new approach to environmental data fusion for integrated assessment of particulate matter loading and its effect on health in the urban environment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Sarigiannis, D. ; DG Joint Res. Centre, European Comm., Brussels, Belgium ; Sifakis, N. ; Soulakellis, N. ; Schafer, K.
more authors

The current state of the art in air quality assessment, monitoring and management comprises analytical measurements and atmospheric transport modeling. Earth observation from satellites provides an additional information layer through the calculation of synoptic air pollution indicators, such as atmospheric turbidity. Fusion of these data sources with ancillary data, including classification of population vulnerability to the adverse health effects of particulate pollution in the ambient air integrates them into an optimally managed environmental information processing tool. The computational assessment method described in this work permits a detailed spatial characterization of the domain of interest with a view to optimizing air quality management in order to reduce the corresponding adverse health impact. Results from the pilot application of this technique for integrated environmental and health assessment in the urban environment are given.

Published in:

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International  (Volume:7 )

Date of Conference:

21-25 July 2003