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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Water Researcharrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Water Research
Article . 2010 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Modelling reactive CAH transport using batch experiment degradation kinetics

Authors: Erik Smolders; Pieter Jan Haest; Dirk Springael;

Modelling reactive CAH transport using batch experiment degradation kinetics

Abstract

Models describing transport of degradable organic substances in a porous medium require parameters of the biodegradation kinetics that can be obtained from batch degradation assays. It is rarely assessed if liquid batch biodegradation rates allow extrapolation to reactive transport in a porous medium, i.e. if the cell specific activity in a porous medium with flow-through is identical to that of pelagic cells in liquid cultures. Failure of model predictions can be used to identify the rate-limiting processes in the reactive transport. Column data of anaerobic trichloroethene (TCE) transport and degradation at three flow rates were predicted with a model using biodegradation kinetics derived from a liquid culture. The extent of dechlorination at the column outlet was very well predicted within a factor 1.4 if the specific microbial biomass in the columns was used as an input parameter. This suggests that potential mass transfer limitations in biofilms or differences in microbial ecology between batch and column had minor effects on dechlorination. The model was subsequently extended with Monod kinetics to predict both biomass growth and chlorinated aliphatic hydrocarbon (CAH) degradation in the columns using liquid batch data. These models largely overestimated CAH dechlorination unless microbial transport with cell elution was included and unless a slight batch to column adjustment was made to better predict microbial biomass. With 4 adjustable parameters the model succeeded in predicting the microbial numbers within a factor 4.3 and the extent of dechlorination within a factor 1.2. Our analysis validates the batch to column extrapolation for this dedicated set-up provided that the microbial biomass in columns is well predicted. The sensitivity analysis shows that the extent of dechlorination in the reactive transport is most sensitive to the parameters of TCE degradation kinetics, including microbial growth followed by the residence time.

Related Organizations
Keywords

Bacteria, Movement, Trichloroethylene, Kinetics, Biodegradation, Environmental, Hydrocarbons, Chlorinated, Biomass

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Average
Top 10%