Study on correlations between Lidar scattered light signal and air quality data in an industrial area
Author(s) -
Juliana Steffens,
Roberto Guardani,
Eduardo Landulfo,
Paulo F. Moreira,
R. Costa
Publication year - 2011
Publication title -
procedia environmental sciences
Language(s) - English
Resource type - Journals
ISSN - 1878-0296
DOI - 10.1016/j.proenv.2011.03.012
Subject(s) - lidar , remote sensing , environmental science , signal (programming language) , air quality index , multivariate statistics , quality (philosophy) , basis (linear algebra) , meteorology , geography , statistics , computer science , mathematics , physics , geometry , quantum mechanics , programming language
Results of a campaign on the use of Lidar in an industrial area in the city of Cubatão, Brazil, are presented. Scattered light signal at different heights was correlated with air quality data monitored at ground level using multivariate techniques, aimed at identifying in a quantitative basis the similarities in the behavior of groups of variables. By using neural networks as a non-linear association method, a clear correlation was obtained between the Lidar scattered light signal and hourly-averaged ground-level ozone concentration
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