By Topic

Meteorology-based forecasting of air quality index using neural network

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
$33 $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

4 Author(s)
Sharma, M. ; Dept. of Civil Eng., Indian Inst. of Technol., Kanpur, India ; Aggarwal, S. ; Bose, P. ; Deshpande, A.

Air quality index (AQI), a system for transforming air pollution levels into a single number, aims at providing information about air quality in simple terms to general public. Any advance information about AQI can forewarn the public of unhealthy air and encourage people to voluntarily reduce emissions-producing activities and avoid exposures to polluted environment. Two mathematical models (i) meteorology-based air quality level predictions and (ii) meteorology forecasting, have been developed (based on four year data) using neural network to forecast AQI for following three days. The AQI forecasting model was concluded as being satisfactory and useful for information dissemination to general public.

Published in:

Industrial Informatics, 2003. INDIN 2003. Proceedings. IEEE International Conference on

Date of Conference:

21-24 Aug. 2003