Risk assessment of atmospheric emissions using machine learning

Supervised and unsupervised machine learning algorithms are used to perform statistical and logical analysis of several transport and dispersion model runs which simulate emissions from a fixed source under different atmospheric conditions. <br><br> First, a clustering al...

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Bibliographic Details
Main Authors: G. Cervone, P. Franzese, Y. Ezber, Z. Boybeyi
Format: Article
Language:English
Published: Copernicus Publications 2008-09-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/8/991/2008/nhess-8-991-2008.pdf

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