A mathematical model for bioremediation of hydrocarbon-contaminated soils
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2022 |
| Outros Autores: | , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
| Texto Completo: | https://hdl.handle.net/1822/80461 |
Resumo: | The AQUASIM executable file is available in DataRepositoriUM (https://doi.org/10.34622/datarepositorium/2BUM2J, accessed on 15 September 2022). |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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A mathematical model for bioremediation of hydrocarbon-contaminated soilsmathematical modellingbioremediationbiostimulationelectron acceptorshydrocarbonsScience & TechnologyThe AQUASIM executable file is available in DataRepositoriUM (https://doi.org/10.34622/datarepositorium/2BUM2J, accessed on 15 September 2022).Bioremediation of hydrocarbons in soil is a highly complex process, involving a multiplicity of physical, chemical and biological phenomena. Therefore, it is extremely difficult to control and boost the bioremediation of these systems after an oil spill. A mathematical model was developed to assist in the prediction and decision-making regarding the in situ bioremediation of hydrocarbon-contaminated soils. The model considered the most relevant processes involved in the mass transfer and biodegradation of alkanes over time and along the depth of a flooded soil column. Aliphatic hydrocarbons were chosen since they are less water soluble than aromatics and account for 50–90% of the hydrocarbon fraction in several petroleum products. The effect of adding oxygen, nitrate, iron (III) or sulfate as electron acceptors was then simulated (bioremediation scenarios). Additionally, and to feed the model, batch assays were performed to obtain experimental data on hydrocarbon adsorption to soil particles (more than 60% of hydrocarbons tends to be adsorbed to soil particles), as well as hydrocarbon biodegradation rates in the presence of nitrate (0.114 d−1) and oxygen (0.587 d−1). The model indicates that saturated hydrocarbon removal occurs mainly with adsorption/desorption and transport processes in the upper layers of soil due to methanogenic biodegradation in deeper layers, since the other microbial processes are soon limited by the lack of electron acceptors. Simulation results show that higher initial electron acceptor concentrations led to higher hydrocarbon removal, confirming that the model is performing in accordance with the expected. Close to the surface (at 0.1 m depth), all scenarios predicted more than 83% hydrocarbon removal after two years of simulation. Soil re-aeration results in faster hydrocarbon removal (more than 20% after one year) and surfactants addition (around 15% after one year) may also accelerate soil bioremediation. With this model, the simultaneous contributions of the various physicochemical and biological processes are integrated, facilitating the simulation and comparison of different bioremediation scenarios. Therefore, it represents a useful support tool for the management of contaminated sites.This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of project MORE (PTDC/AAG-TEC/3500/2014; POCI-01-0145-FEDER-016575), the strategic funding of UIDB/04469/2020 unit and by LABBELS—Associate Laboratory in Biotechnology, Bioengineering and Microelectromechanical Systems, LA/P/0029/2020.info:eu-repo/semantics/publishedVersionMDPIUniversidade do MinhoMartins, GilbertoCampos, SaraFerreira, AnaCarvalho, Ana Rita CastroDuarte, Maria Salomé LiraCavaleiro, A. J.2022-112022-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/80461engMartins, G.; Campos, S.; Ferreira, A.; Castro, R.; Duarte, M.S.; Cavaleiro, A.J. A Mathematical Model for Bioremediation of Hydrocarbon-Contaminated Soils. Appl. Sci. 2022, 12, 11069. https://doi.org/10.3390/app1221110692076-341710.3390/app122111069https://www.mdpi.com/2076-3417/12/21/11069info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T11:54:39Zoai:repositorium.sdum.uminho.pt:1822/80461Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:44:08.072730Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
| dc.title.none.fl_str_mv |
A mathematical model for bioremediation of hydrocarbon-contaminated soils |
| title |
A mathematical model for bioremediation of hydrocarbon-contaminated soils |
| spellingShingle |
A mathematical model for bioremediation of hydrocarbon-contaminated soils Martins, Gilberto mathematical modelling bioremediation biostimulation electron acceptors hydrocarbons Science & Technology |
| title_short |
A mathematical model for bioremediation of hydrocarbon-contaminated soils |
| title_full |
A mathematical model for bioremediation of hydrocarbon-contaminated soils |
| title_fullStr |
A mathematical model for bioremediation of hydrocarbon-contaminated soils |
| title_full_unstemmed |
A mathematical model for bioremediation of hydrocarbon-contaminated soils |
| title_sort |
A mathematical model for bioremediation of hydrocarbon-contaminated soils |
| author |
Martins, Gilberto |
| author_facet |
Martins, Gilberto Campos, Sara Ferreira, Ana Carvalho, Ana Rita Castro Duarte, Maria Salomé Lira Cavaleiro, A. J. |
| author_role |
author |
| author2 |
Campos, Sara Ferreira, Ana Carvalho, Ana Rita Castro Duarte, Maria Salomé Lira Cavaleiro, A. J. |
| author2_role |
author author author author author |
| dc.contributor.none.fl_str_mv |
Universidade do Minho |
| dc.contributor.author.fl_str_mv |
Martins, Gilberto Campos, Sara Ferreira, Ana Carvalho, Ana Rita Castro Duarte, Maria Salomé Lira Cavaleiro, A. J. |
| dc.subject.por.fl_str_mv |
mathematical modelling bioremediation biostimulation electron acceptors hydrocarbons Science & Technology |
| topic |
mathematical modelling bioremediation biostimulation electron acceptors hydrocarbons Science & Technology |
| description |
The AQUASIM executable file is available in DataRepositoriUM (https://doi.org/10.34622/datarepositorium/2BUM2J, accessed on 15 September 2022). |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022-11 2022-11-01T00:00:00Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/80461 |
| url |
https://hdl.handle.net/1822/80461 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
Martins, G.; Campos, S.; Ferreira, A.; Castro, R.; Duarte, M.S.; Cavaleiro, A.J. A Mathematical Model for Bioremediation of Hydrocarbon-Contaminated Soils. Appl. Sci. 2022, 12, 11069. https://doi.org/10.3390/app122111069 2076-3417 10.3390/app122111069 https://www.mdpi.com/2076-3417/12/21/11069 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
MDPI |
| publisher.none.fl_str_mv |
MDPI |
| dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
| institution |
RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
| repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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