The DOI matches its Crossref record.
Numerical Simulation of Mixed‐Culture Biofilm
Abstract
Differential equations describing mass balances on solutes and mass fractions in a mixed‐culture biological film within a completely mixed reactor are derived. Simultaneous numerical solution of these equations is not feasible because they are inherently stiff. Dimensional analysis is used to identify characteristic time periods of the phenomena involved. Separation of relatively slow and relatively rapid processes permits solution under nonsteady and sequential steady‐state conditions, respectively. Coupling of these solutions yields a nonsteady‐state biofilm model. The model incorporates external mass transport effects, Monod kinetics with internal determination of limiting electron donor or acceptor, competitive and sequential reactions, and multiple active and inert biological fractions which vary spatially. The system to which the model is applied includes carbonaceous oxidation, nitrification, and denitrification. Results of hypothetical simulations involving competition between heterotrophs deriving energy from an organic solute and autotrophs deriving energy from ammonia and nitrite are presented. The numerical approach used should be applicable to other fixed‐film biological systems and is amenable to modification to increase sophistication.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Wanner, O., & Gujer, W. (1986) · Biotechnology and Bioengineering · doi:10.1002/bit.260280304 · Cited by 630
Stewart, P. S., Zhang, T., Xu, R., Pitts, B., Walters, M. C., Roe, F., Kikhney, J., & Moter, A. (2016) · npj Biofilms and Microbiomes · doi:10.1038/npjbiofilms.2016.12 · Cited by 157
Metadata
- Authors
- Kissel, J. C., McCarty, P. L., & Street, R. L.
- Venue
- Journal of Environmental Engineering
- Published
- 1984-04
- Volume
- 110
- Issue
- 2
- Pages
- 393-411
- ISSN
- 0733-9372 (ISSN-L)
- 1943-7870
- DOI
- 10.1061/(asce)0733-9372(1984)110:2(393
- OpenAlex
- W2055393579
- Cited by
- 199
- References
- 0
- FWCI
- 5.56
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Numerical Simulation of Mixed‐Culture Biofilm. https://app.cochat.ai/papers/10.1061/(asce)0733-9372(1984)110:2(393
- The paper
- Kissel, J. C., McCarty, P. L., & Street, R. L. (1984). Numerical Simulation of Mixed‐Culture Biofilm. Journal of Environmental Engineering. https://doi.org/10.1061/(asce)0733-9372(1984)110%3A2(393
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.