2012
DOI: 10.21236/ada571329
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Development of a Design Tool for Planning Aqueous Amendment Injection Systems Soluble Substrate Design Tool

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Cited by 2 publications
(4 citation statements)
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“…The design tool then estimates steady-state contact efficiency and total project costs. CE SS is estimated using the regression equation developed in Borden et al (2012) and the ratio of injection to minimum TOC concentration, groundwater travel time between rows of injection wells, soluble substrate half-life, time period between substrate reinjections, and pore volumes of substrate solution injected. Using this tool, remediation-system designers can easily evaluate multiple alternatives to identify the most cost-effective design for their specific site.…”
Section: Discussionmentioning
confidence: 99%
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“…The design tool then estimates steady-state contact efficiency and total project costs. CE SS is estimated using the regression equation developed in Borden et al (2012) and the ratio of injection to minimum TOC concentration, groundwater travel time between rows of injection wells, soluble substrate half-life, time period between substrate reinjections, and pore volumes of substrate solution injected. Using this tool, remediation-system designers can easily evaluate multiple alternatives to identify the most cost-effective design for their specific site.…”
Section: Discussionmentioning
confidence: 99%
“…where A is a is function of four dimensionless variables (C I /C MIN , PV, T T /T H , and T R /T H ). The coefficients C 1 to C 13 were differentiated in four groups based on interactions between design parameters (T T , T H , C I , and C MIN ) and well spacing (Borden et al, 2012). These regression equations have been incorporated into the SS Design Tool described in the next section.…”
Section: Numerical Model Sensitivity Analysesmentioning
confidence: 99%
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