A dynamic model for the prediction of malodorous compounds production from anaerobic methanogenic biofilm

A dynamic 1-D mathematical model for production and emission of a group of malodorous Volatile Sulphurous Compounds (VSCs) and volatile fatty acids from anaerobic microbial biofilms was herein formulated, calibrated, and validated. Mathematically, the biofilm was modelled using a multispecies approach, while microbial activity was modelled using the well-established Anaerobic Digestion Model 1 framework, amended with biochemical and physico-chemical processes to accurately represent the kinetics and compounds transportation in anaerobic methanogenic sulphate reducing biofilms. The model was formulated as an integrated Anaerobic Biofilm Reactor Model (ABRM) that provides a combined a dynamic output based on the processes taking place in the biofilm, liquid, and gas phases. Published experimental data representing the production of the targeted malodorous compounds obtained from a multi-reactor, lab-scale, anaerobic biofilm containing system fed with real wastewater was used to calibrate the model's parameters and to validate its predictions. ABRM predicted sulphite reduction and methanogenesis kinetics with R 2 values ≥0.916 and matched the trends of spatial and temporal variations of the experimental targeted malodorous compounds concentrations inside the reactors with Spearman's rank correlation coefficients ≥0.922. Simulation results for ABRM predicted spatial variations in the anaerobic biofilm's microbial species distribution, abundance, growth, substrate competition and uptake, hydrogen sulphate inhibition, and the levels of targeted malodorous compounds production and emissions in response to changes in operational conditions. In an integrated approach for odour control strategies, ABRM can play a great role in predicting malodorous emissions from microbial biofilms in wastewater treatment processes. • Developed new model for estimating anaerobic biofilm formed malodorous VSCs/VOCs. • Model formulated as integrated biofilm reactor and combined SRB in ADM1 structure. • Dynamic biofilm model calibrated/validated using published experimental data. • Predicted spatial species distribution/abundance/activity vs operational changes. • Estimated temporal biofilm's resultant malodorous VSCs/VOCs emissions production.

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Publication Details

Journal
Journal of Water Process Engineering
Published
2025-02-15
DOI
https://doi.org/10.1016/j.jwpe.2025.107230
Citations
1
Primary Topic
Odor and Emission Control Technologies
Type
article
Field-Weighted Citation Impact
0.70
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article

A dynamic model for the prediction of malodorous compounds production from anaerobic methanogenic biofilm

Sergio Bordel, Rawan Al-Karaki, Raúl Muñoz, N V Kurnikova et al.
1 citations
Journal of Water Process Engineering
Odor and Emission Control Technologies
0.70
article

A dynamic model for the prediction of malodorous compounds production from anaerobic methanogenic biofilm

Sergio Bordel, Rawan Al-Karaki, Raúl Muñoz, N V Kurnikova, Malek G. Hajaya
article en
1 citations

Abstract

A dynamic 1-D mathematical model for production and emission of a group of malodorous Volatile Sulphurous Compounds (VSCs) and volatile fatty acids from anaerobic microbial biofilms was herein formulated, calibrated, and validated. Mathematically, the biofilm was modelled using a multispecies approach, while microbial activity was modelled using the well-established Anaerobic Digestion Model 1 framework, amended with biochemical and physico-chemical processes to accurately represent the kinetics and compounds transportation in anaerobic methanogenic sulphate reducing biofilms. The model was formulated as an integrated Anaerobic Biofilm Reactor Model (ABRM) that provides a combined a dynamic output based on the processes taking place in the biofilm, liquid, and gas phases. Published experimental data representing the production of the targeted malodorous compounds obtained from a multi-reactor, lab-scale, anaerobic biofilm containing system fed with real wastewater was used to calibrate the model's parameters and to validate its predictions. ABRM predicted sulphite reduction and methanogenesis kinetics with R 2 values ≥0.916 and matched the trends of spatial and temporal variations of the experimental targeted malodorous compounds concentrations inside the reactors with Spearman's rank correlation coefficients ≥0.922. Simulation results for ABRM predicted spatial variations in the anaerobic biofilm's microbial species distribution, abundance, growth, substrate competition and uptake, hydrogen sulphate inhibition, and the levels of targeted malodorous compounds production and emissions in response to changes in operational conditions. In an integrated approach for odour control strategies, ABRM can play a great role in predicting malodorous emissions from microbial biofilms in wastewater treatment processes. • Developed new model for estimating anaerobic biofilm formed malodorous VSCs/VOCs. • Model formulated as integrated biofilm reactor and combined SRB in ADM1 structure. • Dynamic biofilm model calibrated/validated using published experimental data. • Predicted spatial species distribution/abundance/activity vs operational changes. • Estimated temporal biofilm's resultant malodorous VSCs/VOCs emissions production.

Journal of Water Process EngineeringVol. 71
Universidad de Valladolid (ES), Tafila Technical University (JO), Mutah University (JO)
Openalex Percentile: Top 40%
Odor and Emission Control Technologies
0.70
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