Use of numerical sparsity in a groundwater quality management model

Christopher M. Mansfield; Christine A. Shoemaker; Lizhi Liao

Use of numerical sparsity in a groundwater quality management model

Christopher M. Mansfield^*, Christine A. Shoemaker, Lizhi Liao

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to conference › Conference paper › peer-review

Abstract

The use of numerical sparsity in a non-linear optimal control model as it is applied to the pump and treat remediation of groundwater problems is developed. The control model selects the least cost combination of pumping rates and well locations to achieve specified cleanup goals at a specified time horizon, based on the predictions of a finite element simulation model; this is a computationally intensive problem. This research focused on the use of the numerical sparsity arising from the finite element model within the optimization procedure to reduce the overall computational demands of solving the problem.

Original language	English
Pages	868-870
Number of pages	3
Publication status	Published - 1995
Event	Proceedings of the 22nd Annual Conference on Integrated Water Resources Planning for the 21st Century - Cambridge, MA, USA Duration: 7 May 1995 → 11 May 1995

Conference

Conference	Proceedings of the 22nd Annual Conference on Integrated Water Resources Planning for the 21st Century
City	Cambridge, MA, USA
Period	7/05/95 → 11/05/95

Scopus Subject Areas

General Engineering

Cite this

@conference{e0d7cefd32e54c66b8b7ec620334dfe1,

title = "Use of numerical sparsity in a groundwater quality management model",

abstract = "The use of numerical sparsity in a non-linear optimal control model as it is applied to the pump and treat remediation of groundwater problems is developed. The control model selects the least cost combination of pumping rates and well locations to achieve specified cleanup goals at a specified time horizon, based on the predictions of a finite element simulation model; this is a computationally intensive problem. This research focused on the use of the numerical sparsity arising from the finite element model within the optimization procedure to reduce the overall computational demands of solving the problem.",

author = "Mansfield, {Christopher M.} and Shoemaker, {Christine A.} and Lizhi Liao",

note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; Proceedings of the 22nd Annual Conference on Integrated Water Resources Planning for the 21st Century ; Conference date: 07-05-1995 Through 11-05-1995",

year = "1995",

language = "English",

pages = "868--870",

}

Use of numerical sparsity in a groundwater quality management model. / Mansfield, Christopher M.; Shoemaker, Christine A.; Liao, Lizhi.
1995. 868-870 Paper presented at Proceedings of the 22nd Annual Conference on Integrated Water Resources Planning for the 21st Century, Cambridge, MA, USA.

Research output: Contribution to conference › Conference paper › peer-review

TY - CONF

T1 - Use of numerical sparsity in a groundwater quality management model

AU - Mansfield, Christopher M.

AU - Shoemaker, Christine A.

AU - Liao, Lizhi

PY - 1995

Y1 - 1995

N2 - The use of numerical sparsity in a non-linear optimal control model as it is applied to the pump and treat remediation of groundwater problems is developed. The control model selects the least cost combination of pumping rates and well locations to achieve specified cleanup goals at a specified time horizon, based on the predictions of a finite element simulation model; this is a computationally intensive problem. This research focused on the use of the numerical sparsity arising from the finite element model within the optimization procedure to reduce the overall computational demands of solving the problem.

AB - The use of numerical sparsity in a non-linear optimal control model as it is applied to the pump and treat remediation of groundwater problems is developed. The control model selects the least cost combination of pumping rates and well locations to achieve specified cleanup goals at a specified time horizon, based on the predictions of a finite element simulation model; this is a computationally intensive problem. This research focused on the use of the numerical sparsity arising from the finite element model within the optimization procedure to reduce the overall computational demands of solving the problem.

UR - http://www.scopus.com/inward/record.url?scp=0029234236&partnerID=8YFLogxK

M3 - Conference paper

AN - SCOPUS:0029234236

SP - 868

EP - 870

T2 - Proceedings of the 22nd Annual Conference on Integrated Water Resources Planning for the 21st Century

Y2 - 7 May 1995 through 11 May 1995

ER -

Use of numerical sparsity in a groundwater quality management model

Abstract

Conference

Scopus Subject Areas

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