Pollutant dispersion simulation for low wind speed condition by the ILS method

• Published in: Atmospheric environment (1994) Vol. 39; no. 34; pp. 6282 - 6288
• Main Authors: Carvalho, Jonas C., de Vilhena, Marco Túllio M.B.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.11.2005; Elsevier Science
• Subjects: Air pollution modeling; Applied sciences; Atmospheric pollution; Autocorrelation function; Exact sciences and technology; Lagrangian particle model; Low wind speed condition; Model evaluation; Picard iterative method; Pollutants physicochemistry study: properties, effects, reactions, transport and distribution; Pollution; USA, Idaho; Autocorrelation function; Model evaluation; Air pollution modeling; Picard iterative method; Low wind speed condition; Lagrangian particle model; Atmospheric condition; Pollutant behavior; Troposphere; Iterative method; Wind effect; Lagrange equation; Transport process; Three dimensional model; Langevin equation; Aerosols; Air pollution; Numerical simulation; Atmospheric dispersion; Stochastic equation

A semi-analytical Lagrangian particle model to simulate the pollutant dispersion during low wind speed conditions is presented and tested. The method relies to a stochastic integral equation whose solution is obtained using ILS method, which consists in the iterative solution of Langevin equation by...