Air dispersion model and neural network: A new perspective for integrated models in the simulation of complex situations

[1]  M. W Gardner,et al.  Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences , 1998 .

[2]  P. A. Sheppard,et al.  Atmospheric Diffusion , 1962, Nature.

[3]  A. Comrie.  Comparing Neural Networks and Regression Models for Ozone Forecasting , 1997 .

[4]  V. Prybutok,et al.  A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area. , 1996, Environmental pollution.

[5]  T. Tirabassi,et al.  A Simple Analytic Approximation of the Ground-Level Concentration for Elevated Line Sources , 1981 .

[6]  T. Tirabassi,et al.  Applied dispersion modelling for ground-level concentrations from elevated sources , 1994 .

[7]  N. E. Bowne,et al.  Overview, results, and conclusions for the EPRI Plume-Model Validation and Development Project: plains site. Final report , 1983 .

[8]  M. Barad,et al.  PROJECT PRAIRIE GRASS, A FIELD PROGRAM IN DIFFUSION. VOLUME II , 1958 .

[9]  M. Kolehmainen,et al.  Neural networks and periodic components used in air quality forecasting , 2001 .

[10]  T. Tirabassi,et al.  Sensitivity analysis of an operational advanced Gaussian model to different turbulent regimes , 1998 .

[11]  P. Suppan,et al.  Harmonisation within atmospheric dispersion modelling for regulatory purposes , 2004 .

[12]  Marija Zlata Boznar,et al.  A neural network-based method for short-term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex terrain , 1993 .

[13]  A. P. van Ulden.  A surface-layer similarity model for the dispersion of a skewed passive puff near the ground , 1992 .

[14]  T. Tirabassi,et al.  A Practical Model for the Dispersion of Skewed Puffs , 1995 .

[15]  Erik Lyck,et al.  Atmospheric Dispersion from Elevated Sources in an Urban Area: Comparison between Tracer Experiments and Model Calculations , 1984 .

[16]  Duane A. Haugen,et al.  PROJECT PRAIRIE GRASS. A FIELD PROGRAM IN DIFFUSION. VOLUME 3 , 1959 .

[17]  M. Gardner,et al.  Neural network modelling and prediction of hourly NOx and NO2 concentrations in urban air in London , 1999 .

[18]  Raúl Rojas,et al.  Neural Networks - A Systematic Introduction , 1996 .

[19]  J. Deardorff,et al.  A Parameterization of Diffusion into the Mixed Layer , 1975 .

[20]  A. Ulke.  New turbulent parameterization for a dispersion model in the atmospheric boundary layer , 2000 .

[21]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.