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Numerical and field investigation of enhanced in situ denitrification in a shallow-zone well-to-well recirculation system
Authors:Eun Jung Lee   Meejeong Kim   Young Kim  Kang-Kun Lee  
Affiliation:aDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA;bConstruction Management Division, Military Installations Planning Bureau, Ministry of National Defense, Seoul, Republic of Korea;cDepartment of Environmental Engineering, Korea University, Jochiwon, Choong Nam, Republic of Korea;dSchool of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea
Abstract:This study investigated efficiency of in situ enhanced biological denitrification of nitrate-contaminated groundwater which employs a well-to-well circulation in a shallow zone where oxygen might give an adverse affect on the denitrification processes. The numerical model developed for the efficiency test included sequential aerobic and nitrate-based respiration, multi-Monod kinetics of reactive components, growth and decay of biomass, and denitrification inhibition associated with the presence of oxygen. Moreover, reaction kinetics for production of toxic intermediates such as nitrite and nitrous oxide were also included in the model. The developed model was applied to the analysis of enhanced in situ denitrification using an injection/extraction well pair. To evaluate the relative remediation effectiveness, comparisons were made between a continuous fumarate injection test (CFIT) system and a pulsed fumarate injection test (PFIT) system, where both systems had the same total fumarate mass injected into the aquifer. The PFIT system was preferable to the CFIT system because of the high possibility of occurrence of clogging in the latter case at the injection well, with no other significant advantages found in either the CFIT or the PFIT system. Accordingly, this developed numerical model is useful to predict and evaluate an in situ bioremediation by denitrification in aquifers.
Keywords:Denitrification   Recirculation   Numerical models   Biodegradation
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