Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB
We present the details of a numerical model, BIOB that is capable of simulating the biodegradation of oil entrapped in the sediment. The model uses Monod kinetics to simulate the growth of bacteria in the presence of nutrients and the subsequent consumption of hydrocarbons. The model was used to sim...
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2014
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ftdoajarticles:oai:doaj.org/article:da740d4dc32346b6897cf88529df1f72 2023-05-15T13:09:12+02:00 Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB Jagadish eTorlapati Michel eBoufadel 2014-05-01T00:00:00Z https://doi.org/10.3389/fmicb.2014.00212 https://doaj.org/article/da740d4dc32346b6897cf88529df1f72 EN eng Frontiers Media S.A. http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00212/full https://doaj.org/toc/1664-302X 1664-302X doi:10.3389/fmicb.2014.00212 https://doaj.org/article/da740d4dc32346b6897cf88529df1f72 Frontiers in Microbiology, Vol 5 (2014) Biodegradation oil spill Numerical modeling shoreline contamination Monod kinetics Microbiology QR1-502 article 2014 ftdoajarticles https://doi.org/10.3389/fmicb.2014.00212 2022-12-30T22:41:08Z We present the details of a numerical model, BIOB that is capable of simulating the biodegradation of oil entrapped in the sediment. The model uses Monod kinetics to simulate the growth of bacteria in the presence of nutrients and the subsequent consumption of hydrocarbons. The model was used to simulate experimental results of Exxon Valdez oil biodegradation in laboratory columns (Venosa et al. (2010)). In that study, samples were collected from three different islands: Eleanor Island (EL107), Knight Island (KN114A), and Smith Island (SM006B), and placed in laboratory microcosms for a duration of 168 days to investigate oil bioremediation through natural attenuation and nutrient amendment. The kinetic parameters of the BIOB model were estimated by fitting to the experimental data using a parameter estimation tool based on Genetic Algorithms (GA). The parameter values of EL107 and KN114A were similar whereas those of SM006B were different from the two other sites; in particular biomass growth at SM006B was four times slower than at the other two islands. Grain size analysis from each site revealed that the specific surface area per unit mass of sediment was considerably lower at SM006B, which suggest that the surface area of sediments is a key control parameter for microbial growth in sediments. Comparison of the BIOB results with exponential decay curves fitted to the data indicated that BIOB provided better fit for KN114A and SM006B in nutrient amended treatments, and for EL107 and KN114A in natural attenuation. In particular, BIOB was able to capture the initial slow biodegradation due to the lag phase in microbial growth. Sensitivity analyses revealed that oil biodegradation at all three locations were sensitive to nutrient concentration whereas SM006B was sensitive to initial biomass concentration due to its slow growth rate. Analyses were also performed to compare the half-lives of individual compounds with the decay rate of the overall PAH. Article in Journal/Newspaper Alaska North Slope Knight Island north slope Smith Island Alaska Directory of Open Access Journals: DOAJ Articles Smith Island ENVELOPE(-62.520,-62.520,-62.981,-62.981) Knight Island ENVELOPE(-64.010,-64.010,-64.916,-64.916) Frontiers in Microbiology 5 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Biodegradation oil spill Numerical modeling shoreline contamination Monod kinetics Microbiology QR1-502 |
spellingShingle |
Biodegradation oil spill Numerical modeling shoreline contamination Monod kinetics Microbiology QR1-502 Jagadish eTorlapati Michel eBoufadel Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB |
topic_facet |
Biodegradation oil spill Numerical modeling shoreline contamination Monod kinetics Microbiology QR1-502 |
description |
We present the details of a numerical model, BIOB that is capable of simulating the biodegradation of oil entrapped in the sediment. The model uses Monod kinetics to simulate the growth of bacteria in the presence of nutrients and the subsequent consumption of hydrocarbons. The model was used to simulate experimental results of Exxon Valdez oil biodegradation in laboratory columns (Venosa et al. (2010)). In that study, samples were collected from three different islands: Eleanor Island (EL107), Knight Island (KN114A), and Smith Island (SM006B), and placed in laboratory microcosms for a duration of 168 days to investigate oil bioremediation through natural attenuation and nutrient amendment. The kinetic parameters of the BIOB model were estimated by fitting to the experimental data using a parameter estimation tool based on Genetic Algorithms (GA). The parameter values of EL107 and KN114A were similar whereas those of SM006B were different from the two other sites; in particular biomass growth at SM006B was four times slower than at the other two islands. Grain size analysis from each site revealed that the specific surface area per unit mass of sediment was considerably lower at SM006B, which suggest that the surface area of sediments is a key control parameter for microbial growth in sediments. Comparison of the BIOB results with exponential decay curves fitted to the data indicated that BIOB provided better fit for KN114A and SM006B in nutrient amended treatments, and for EL107 and KN114A in natural attenuation. In particular, BIOB was able to capture the initial slow biodegradation due to the lag phase in microbial growth. Sensitivity analyses revealed that oil biodegradation at all three locations were sensitive to nutrient concentration whereas SM006B was sensitive to initial biomass concentration due to its slow growth rate. Analyses were also performed to compare the half-lives of individual compounds with the decay rate of the overall PAH. |
format |
Article in Journal/Newspaper |
author |
Jagadish eTorlapati Michel eBoufadel |
author_facet |
Jagadish eTorlapati Michel eBoufadel |
author_sort |
Jagadish eTorlapati |
title |
Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB |
title_short |
Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB |
title_full |
Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB |
title_fullStr |
Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB |
title_full_unstemmed |
Evaluation of the biodegradation of Alaska North Slope oil in microcosms using the biodegradation model BIOB |
title_sort |
evaluation of the biodegradation of alaska north slope oil in microcosms using the biodegradation model biob |
publisher |
Frontiers Media S.A. |
publishDate |
2014 |
url |
https://doi.org/10.3389/fmicb.2014.00212 https://doaj.org/article/da740d4dc32346b6897cf88529df1f72 |
long_lat |
ENVELOPE(-62.520,-62.520,-62.981,-62.981) ENVELOPE(-64.010,-64.010,-64.916,-64.916) |
geographic |
Smith Island Knight Island |
geographic_facet |
Smith Island Knight Island |
genre |
Alaska North Slope Knight Island north slope Smith Island Alaska |
genre_facet |
Alaska North Slope Knight Island north slope Smith Island Alaska |
op_source |
Frontiers in Microbiology, Vol 5 (2014) |
op_relation |
http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00212/full https://doaj.org/toc/1664-302X 1664-302X doi:10.3389/fmicb.2014.00212 https://doaj.org/article/da740d4dc32346b6897cf88529df1f72 |
op_doi |
https://doi.org/10.3389/fmicb.2014.00212 |
container_title |
Frontiers in Microbiology |
container_volume |
5 |
_version_ |
1766166388272005120 |