Application of nonisothermal multiphase modeling to in situ soil remediation in Söderkulla

Terhi Kling (Corresponding Author), Juhani Korkealaakso, Jukka Saarenpää

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Nonisothermal multiphase modeling with the T2VOC numerical simulator was used as an integration tool in an in situ remediation project in which trichloroethylene (TCE)-contaminated soil was treated with thermally (steam) enhanced soil vapor extraction. Numerical simulation studies were employed in the iterative conceptualization of the migration of the contaminants and the effects of different treatment operations, in the planning of optimal system design and control of the remediation processes, as well as for integration of information obtained from field investigations during different phases of the project. Modeling proved to be a valuable tool in planning and decision making. It was, however, difficult to forecast the costs or the duration of the project, since the actual TCE mass and distribution was poorly known. The power of modeling lies in its ability to compare the effect of different strategies or measures on the cleanup efficiency, and in studying the associated effects during the treatments.
Original languageEnglish
Pages (from-to)901-908
Number of pages8
JournalVadose Zone Journal
Volume3
Issue number3
DOIs
Publication statusPublished - 2004
MoE publication typeA1 Journal article-refereed

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soil remediation
trichloroethylene
remediation
soil vapor extraction
planning
modeling
cleanup
polluted soils
steam
simulator
decision making
duration
pollutant
cost
simulation
in situ
effect
project
soil

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Kling, Terhi ; Korkealaakso, Juhani ; Saarenpää, Jukka. / Application of nonisothermal multiphase modeling to in situ soil remediation in Söderkulla. In: Vadose Zone Journal. 2004 ; Vol. 3, No. 3. pp. 901-908.
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abstract = "Nonisothermal multiphase modeling with the T2VOC numerical simulator was used as an integration tool in an in situ remediation project in which trichloroethylene (TCE)-contaminated soil was treated with thermally (steam) enhanced soil vapor extraction. Numerical simulation studies were employed in the iterative conceptualization of the migration of the contaminants and the effects of different treatment operations, in the planning of optimal system design and control of the remediation processes, as well as for integration of information obtained from field investigations during different phases of the project. Modeling proved to be a valuable tool in planning and decision making. It was, however, difficult to forecast the costs or the duration of the project, since the actual TCE mass and distribution was poorly known. The power of modeling lies in its ability to compare the effect of different strategies or measures on the cleanup efficiency, and in studying the associated effects during the treatments.",
author = "Terhi Kling and Juhani Korkealaakso and Jukka Saarenp{\"a}{\"a}",
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language = "English",
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Application of nonisothermal multiphase modeling to in situ soil remediation in Söderkulla. / Kling, Terhi (Corresponding Author); Korkealaakso, Juhani; Saarenpää, Jukka.

In: Vadose Zone Journal, Vol. 3, No. 3, 2004, p. 901-908.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Application of nonisothermal multiphase modeling to in situ soil remediation in Söderkulla

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AU - Saarenpää, Jukka

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AB - Nonisothermal multiphase modeling with the T2VOC numerical simulator was used as an integration tool in an in situ remediation project in which trichloroethylene (TCE)-contaminated soil was treated with thermally (steam) enhanced soil vapor extraction. Numerical simulation studies were employed in the iterative conceptualization of the migration of the contaminants and the effects of different treatment operations, in the planning of optimal system design and control of the remediation processes, as well as for integration of information obtained from field investigations during different phases of the project. Modeling proved to be a valuable tool in planning and decision making. It was, however, difficult to forecast the costs or the duration of the project, since the actual TCE mass and distribution was poorly known. The power of modeling lies in its ability to compare the effect of different strategies or measures on the cleanup efficiency, and in studying the associated effects during the treatments.

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