Abstracts
IAH_CNC_WEB2
IAH_CNC_WEB2
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In groundwater flow model calibration, it is a tradition and standard to look at the calibration<br />
error statistics. As a rule of thumb when the statistic errors are minimized, the<br />
simulated groundwater elevations are supposed to match the observed elevations at the<br />
available/selected calibration targets. Thus the groundwater flow directions are theoretically<br />
considered to match as well. However, quite often it is the case that groundwater flow<br />
directions do not match to the best for a long term average flow condition even when the<br />
minimized calibration errors are found. Reasons may include: 1) the observation event (as<br />
calibration targets) does not necessarily represent the long term average conditions due to<br />
groundwater elevation fluctuations (and hence groundwater flow direction variations); 2)<br />
groundwater elevation measurement errors; 3) over simplification of the site conditions<br />
such as lumping different hydrogeological units to a single model layer where a vertical<br />
hydraulic gradient may exist, etc. For a contaminated site where a plume in groundwater<br />
is fully delineated, a long term groundwater flow direction is obtained that should be a<br />
primary calibration target to focus on. Focusing on groundwater flow direction match in<br />
groundwater flow model calibration is extremely important when using a calibrated model<br />
to optimize the design of the groundwater remediation system.<br />
289 - Self-Sustaining Treatment for Active Remediation (STAR) –<br />
Vapour Emissions Characterization and Mitigation<br />
Cody Murray & Jason I. Gerhard<br />
Department of Civil & Environmental Engineering - Western University, London, Ontario,<br />
Canada<br />
Gavin P. Grant, Grant Scholes, & Dave Major<br />
Savron Solutions, Guelph, Ontario, Canada<br />
Self-sustaining Treatment for Active Remediation (STAR) is a novel technology based on<br />
the principles of smouldering combustion where the contaminants, primarily Non-Aqueous<br />
Phase Liquids (NAPLs), are the fuel for the reaction. STAR is self-sustaining in that,<br />
following a short duration, localized ignition event, the combustion front propagates<br />
through the contaminated material without any externally added energy. The reaction is<br />
supported and accelerated by air injection. This technology is capable of destroying greater<br />
than 99.9% of contaminant / waste mass and has many potential applications to the oil and<br />
gas, manufacturing, and utility industries. The STAR process is well suited for the in situ<br />
treatment of NAPL source zones as well as the ex situ treatment (STARx) of excavated<br />
soils, drilling muds, or other contaminated soils. In addition, STARx can be used for the<br />
treatment of organic wastes such as waste oils and lagoon sludges when the waste material<br />
is mixed with a porous media to establish the conditions required for smouldering combustion<br />
reactions to take place.<br />
The objective of this work is to study the gaseous emissions from STAR and STARx. In<br />
particular, this work seeks to characterize the emissions and determine the factors affecting<br />
the volatile emissions rate and its relationship to treatment efficiency / remediation<br />
performance. Specific attention is being given to characterize (i) combustion gases, such<br />
as carbon dioxide (CO 2<br />
), carbon monoxide (CO), and oxygen (O 2<br />
), (ii) volatile organic<br />
compounds (VOCs), and (iii) aerosols/oil mists. These are being quantified for both the<br />
IAH-CNC 2015 WATERLOO CONFERENCE<br />
167