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A simple kinetic modeling approach for aerobic stabilization of real waste activated sludge
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Aerobic digestion does not generate byproducts such as methane despite its significant energy requirements.
“However, it is noteworthy that despite its significant energy requirements, this process does not generate byproducts such as methane [303][304][305].”
From Recent Advances in the Remediation of Textile-Dye-Containing Wastewater: Prioritizing Human Health and Sustainable Wastewater Treatment (2024) · cites this paper as [304]
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Research works printed but not linked: 19
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- Ramin, 2014, Influence of selecting secondary settling tank sub-models on the calibration of WWTP models – A global sensitivity analysis using BSM2, Chem. Eng. J., 241, 28, 10.1016/j.cej.2013.12.015 · DOI
- Katipoglu-Yazgan, 2015, Modelling aerobic stabilization of domestic and industrial sludge using a multi-component biomass model, Environ. Technol., 36, 2013, 10.1080/09593330.2015.1019574 · DOI
- Daigger, 1982, The dynamic of microbial growth on soluble substrates. A unifying theory, Water Res., 16, 368, 10.1016/0043-1354(82)90159-2 · DOI
- Ozdemir, 2014, Modeling the fate of particulate components in aerobic sludge stabilization – performance limitations, Bioresour. Technol., 164, 315, 10.1016/j.biortech.2014.05.012 · DOI
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- Martinez-Garcia, 2014, Aerobic stabilization of biological sludge characterized by an extremely low decay rate: modeling, identifiability analysis and parameter estimation, Bioresour. Technol., 166, 112, 10.1016/j.biortech.2014.05.024 · DOI
- Martinez-Garcia, 2016, Activated sludge mass reduction and biodegradability of the endogenous residues by digestion under different aerobic to anaerobic conditions: comparison and modeling, Bioresour. Technol., 203, 32, 10.1016/j.biortech.2015.12.015 · DOI
- Friedrich, 2013, A new interpretation of endogenous respiration profiles for the evaluation of the endogenous decay rate of heterotrophic biomass in activated sludge, Water Res., 47, 5639, 10.1016/j.watres.2013.06.043 · DOI
- Brun, 2002, Practical identifiability of ASM2d parameters – systematic selection and tuning of parameter subsets, Water Res., 36, 4113, 10.1016/S0043-1354(02)00104-5 · DOI
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- Dorado, 2008, Modeling of a bacterial and fungal biofilter applied to toluene abatement: kinetic parameters estimation and model validation, Chem. Eng. J., 140, 52, 10.1016/j.cej.2007.09.004 · DOI
- Ciggin, 2013, Aerobic metabolism of mixed carbon sources in sequencing batch reactor under pulse and continuous feeding, Bioresour. Technol., 129, 118, 10.1016/j.biortech.2012.10.109 · DOI
- Chen, 2015, An efficient approach based on bi-sensitivity analysis and genetic algorithm for calibration of activated sludge models, Chem. Eng. J., 259, 845, 10.1016/j.cej.2014.07.131 · DOI
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Cited by
Sorted by citations
Periyasamy, A. P. (2024) · Sustainability · doi:10.3390/su16020495 · Cited by 652
Metadata
- Authors
- Bahar, S., & Ciggin, A. S.
- ORCID
- Ciggin, A.S.
- Venue
- Chemical Engineering Journal
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 303
- Pages
- 194-201
- ISSN
- 1385-8947
- Cited by
- 20
- References
- 0
- Language
- en
- Licence
- Funders
- Akdeniz Üniversitesi (FYL-2016-1115)
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