caa a22 4500 467922535 CHVBK 20180406152920.0 cr unu---uuuuu 170328e20060101xx s 000 0 eng 10.1007/s00477-005-0021-6 doi (NATIONALLICENCE)springer-10.1007/s00477-005-0021-6 Gaussian plume modeling of contaminant transport [Elektronische Daten] [Chris Kennedy, Hans Ericsson, P. Wong] A technique for modeling contaminant transport based on Markov process theory is developed. Transport is quantified by summing the first two moments of independent random displacements and applying the central limit theorem (CLT) to obtain solute distributions of a Gaussian nature. For non-uniform flow fields the CLT is applied in a streamfunction/equi-travel time space and transforms are used to give concentrations in Cartesian coordinates. Simulations in uniform, radially converging and circular flow fields show the method to be two to three orders of magnitude faster than modeling with the advection-dispersion equation, using a control volume technique. Springer-Verlag, 2005 Kennedy Chris Department of Civil Engineering, University of Toronto, M5S 1L1, Toronto, Canada aut Ericsson Hans Uppsala University School of Engineering, Uppsala, Sweden aut Wong P. Department of Civil Engineering, University of Toronto, M5S 1L1, Toronto, Canada aut Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/1-2(2006-01-01), 119-125 1436-3240 20:1-2<119 2006 20 477 https://doi.org/10.1007/s00477-005-0021-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00477-005-0021-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kennedy Chris Department of Civil Engineering, University of Toronto, M5S 1L1, Toronto, Canada aut NATIONALLICENCE 700 1- Ericsson Hans Uppsala University School of Engineering, Uppsala, Sweden aut NATIONALLICENCE 700 1- Wong P. Department of Civil Engineering, University of Toronto, M5S 1L1, Toronto, Canada aut NATIONALLICENCE 773 0- Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/1-2(2006-01-01), 119-125 1436-3240 20:1-2<119 2006 20 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer