In probability density function (PDF) methods of turbulent flows, the joint PDF of several flow variables is computed by numerically integrating a system of stochastic differential equations forâ€¦ (More)

A genetic algorithm is paired with a Lagrangian puff atmospheric model to reconstruct the source characteristics of an atmospheric release. Observed meteorological and ground concentrationâ€¦ (More)

A Monte Carlo algorithm is iteratively run to identify candidate sources for atmospheric releases. The values of the ground measurements of concentration are synthetically generated by a benchmarkâ€¦ (More)

2009 IEEE International Conference on Data Miningâ€¦

2009

A spatiotemporal methodology is presented for the analysis and visualization of atmospheric emissions in a metropolitan area. Numerical transport and dispersion models are used to build a library ofâ€¦ (More)

2008 IEEE International Conference on Data Miningâ€¦

2008

Unsupervised machine learning algorithms are used to perform statistical analysis of several transport and dispersion model runs which simulate emissions from a fixed source under differentâ€¦ (More)

This paper introduces the National Polar-orbiting Operational Environmental Satellite System (NPOESS) and its use for the identification of the source of atmospheric pollutants. NPOESS is the nextâ€¦ (More)

An estimate of the error between the mean concentration of a released pollutant simulated by an atmospheric dispersion model and the values measured at the ground is obtained using Dynamic Timeâ€¦ (More)