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Application of a Backwards Lagrangian Stochastic Model to Lidar Data to Estimate Particulate Matter Emissions

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Abstract

A backwards Lagrangian stochastic model will be applied to particulate matter mass calibrated lidar data in order to estimate particulate matter emissions from a nearby source. This paper describes the methodology to be used.

© 2013 Optical Society of America

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