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Stochastic process Lagrangian model

In stochastic Lagrangian particle models, the evolution of the concentration field is computed in a two-step process. First, the Eulerian velocity field in the region of interest must be calculated, either by solution of the Navier-Stokes equations or via an approximate method that satisfies mass consistency. The solution must also provide the local statistics of the velocity field. Individual particles are then released, and their position is updated over a time increment dt using an equation of the form (Wilson and Sawford 1996)... [Pg.53]

Natural attenuation is controlled by numerous processes, which include sorption, intraparticle diffusion as weU as biological and chemical degradation. In order to be able to quantify respectively predict the fate and transport of contaminants, appropriate models that are able to deal with the complexity and interactions of the involved processes need to be developed. Due to insufficient information on the spatial distribution of transport parameters in the subsurface, stochastic methods are a preferred alternative to deterministic approaches. In the present paper a one-dimensional Lagrangian streamtube model is used to describe the reactive transport of acenaphthene as a sample organic compoimd at field scale. As the streamtube model does not consider the heterogeneity of hydrogeochemical parameters but only hydraubc heterogeneity, model results from the streamtube model are compared in a Monte Carlo approach to results of a two-dimensional Eulerian model. [Pg.243]


See other pages where Stochastic process Lagrangian model is mentioned: [Pg.348]    [Pg.206]    [Pg.145]    [Pg.56]    [Pg.38]    [Pg.24]    [Pg.526]    [Pg.521]    [Pg.19]    [Pg.248]   
See also in sourсe #XX -- [ Pg.15 , Pg.17 , Pg.31 , Pg.128 , Pg.142 , Pg.145 , Pg.183 , Pg.184 , Pg.187 , Pg.188 ]




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