Spatial multiscale techniques for groundwater management modeling

Yong Liu, Barbara S. Minsker, Faisal Saied

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

Abstract

An innovative spatial multiscale method has been proposed to solve a groundwater management model governed by partial differential equations. The management model, which was developed in previous work, uses an optimal control algorithm called successive approximation linear quadratic regulator (SALQR) to identify optimal well locations and pumping rates for in-situ bioremediation design. Previous work has shown that the computational time of this model is proportional to the cubic of the total number of nodes in the finite element mesh, which prevents it from being applied to large-scale, complex field sites. To reduce the computational burden of this model, a multiscale method for evaluating numerical derivatives is being developed, which exploits the "local-effect" of the derivative information by using multiple spatial scales within different subdomains of the model. This paper presents the methodology. Copyright ASCE 2004.

Original languageEnglish (US)
Title of host publicationJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000
Subtitle of host publicationBuilding Partnerships
DOIs
StatePublished - Dec 1 2004
EventJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000 - Minneapolis, MN, United States
Duration: Jul 30 2000Aug 2 2000

Publication series

NameJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships
Volume104

Other

OtherJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000
Country/TerritoryUnited States
CityMinneapolis, MN
Period7/30/008/2/00

Keywords

  • Algorithms
  • Biological treatment
  • Differential equations
  • Ground-water management
  • Models
  • Water pollution

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology
  • Geography, Planning and Development

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