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Diffusion in random fields = applica...

Suciu, Nicolae.

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Diffusion in random fields = applications to transport in groundwater /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Diffusion in random fields/ by Nicolae Suciu.
Reminder of title:	applications to transport in groundwater /
Author:	Suciu, Nicolae.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xiv, 262 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Preliminaries -- Stochastic simulations of diffusion processes -- Diffusion in random velocity fields -- Monte Carlo GRW simulations of passive transport in groundwater -- Probability and filtered density function approaches -- Model, scale, and measurement.
Contained By:	Springer eBooks
Subject:	Groundwater flow. -
Online resource:	https://doi.org/10.1007/978-3-030-15081-5
ISBN:	9783030150815

Diffusion in random fields = applications to transport in groundwater /
Suciu, Nicolae.

Diffusion in random fieldsapplications to transport in groundwater /[electronic resource] :by Nicolae Suciu. - Cham :Springer International Publishing :2019. - xiv, 262 p. :ill., digital ;24 cm. - Geosystems mathematics,2510-1544. - Geosystems mathematics..

Introduction -- Preliminaries -- Stochastic simulations of diffusion processes -- Diffusion in random velocity fields -- Monte Carlo GRW simulations of passive transport in groundwater -- Probability and filtered density function approaches -- Model, scale, and measurement.

This book presents, in an accessible and self-consistent way, the theory of diffusion in random velocity fields, together with robust numerical simulation approaches. The focus is on transport processes in natural porous media, with applications to contaminant transport in groundwater. Starting from basic information on stochastic processes, more challenging issues are subsequently addressed, such as the correlation structure of the diffusion process in random fields, the relation between memory effects and ergodic properties, derivation and parameterizations of evolution equations for probability densities, and the relation between measurements and spatio-temporal upscaling. Written for readers with a background in applied mathematics, engineering, physics or geophysics, the book offers an essential basis for further research in the stochastic modeling of groundwater systems.

ISBN: 9783030150815

Standard No.: 10.1007/978-3-030-15081-5doiSubjects--Topical Terms:

549465
Groundwater flow.

LC Class. No.: GB1197.7 / .S835 2019

Dewey Class. No.: 628.161

Diffusion in random fields = applications to transport in groundwater /
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100 1 $a Suciu, Nicolae. $3 3411050
245 1 0 $a Diffusion in random fields $h [electronic resource] : $b applications to transport in groundwater / $c by Nicolae Suciu.
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300 $a xiv, 262 p. : $b ill., digital ; $c 24 cm.
490 1 $a Geosystems mathematics, $x 2510-1544
505 0 $a Introduction -- Preliminaries -- Stochastic simulations of diffusion processes -- Diffusion in random velocity fields -- Monte Carlo GRW simulations of passive transport in groundwater -- Probability and filtered density function approaches -- Model, scale, and measurement.
520 $a This book presents, in an accessible and self-consistent way, the theory of diffusion in random velocity fields, together with robust numerical simulation approaches. The focus is on transport processes in natural porous media, with applications to contaminant transport in groundwater. Starting from basic information on stochastic processes, more challenging issues are subsequently addressed, such as the correlation structure of the diffusion process in random fields, the relation between memory effects and ergodic properties, derivation and parameterizations of evolution equations for probability densities, and the relation between measurements and spatio-temporal upscaling. Written for readers with a background in applied mathematics, engineering, physics or geophysics, the book offers an essential basis for further research in the stochastic modeling of groundwater systems.
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950 $a Mathematics and Statistics (Springer-11649)