Incorporating transverse mixing into streamline-based simulation of transport in heterogeneous aquifers

A. J. Valocchi, P. Herrera, H. Viswanathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Numerical simulation is an important tool for understanding transport and mixing processes in heterogeneous aquifers. Many studies have shown that streamline-based simulation models are a computationally simple and accurate numerical solution technique. These approaches gain their efficiency by converting the large three-dimensional transport problem into a series of one-dimensional simulations along streamlines. These models are also efficient because they neglect transverse dispersion, thereby allowing all the streamlines to be decoupled. However, for many reactive transport applications, transverse dispersion is a crucial mechanism for mixing various chemicals. We propose a conceptually straightforward method to incorporate transverse mixing into streamline simulation methods based upon using a first-order mass-transfer approximation to transverse dispersion. We describe some details about the new method and present preliminary results for nonreactive and reactive transport.

Original languageEnglish (US)
Title of host publicationGroundwater Quality Modeling and Management Under Uncertinity
EditorsS. Mishra
PublisherASCE - American Society of Civil Engineers
Pages294-304
Number of pages11
ISBN (Print)0784406960, 9780784406960
DOIs
StatePublished - 2003
EventProceeding of the Symposium on Groundwater Management Under Uncertainty - Philadelphia, PH, United States
Duration: Jun 23 2003Jun 25 2003

Publication series

NameGroundwater Quality Modeling and Management Under Uncertinity

Other

OtherProceeding of the Symposium on Groundwater Management Under Uncertainty
Country/TerritoryUnited States
CityPhiladelphia, PH
Period6/23/036/25/03

ASJC Scopus subject areas

  • Water Science and Technology

Fingerprint

Dive into the research topics of 'Incorporating transverse mixing into streamline-based simulation of transport in heterogeneous aquifers'. Together they form a unique fingerprint.

Cite this