Bacterial Competition in Activated Sludge: Theoretical Analysis of Varying Solids Retention Times on Diversity

Abstract

A mechanistic model for activated sludge sewage treatment was developed to predict exploitative competition of six aerobic heterotrophic bacterial species competing for three essential resources. The central hypothesis of the model is that in a multispecies/limiting resource system the number of coexisting bacterial species, N, exceeds the number of limiting resources, K, available for them. The explanation for this is that for certain species combinations, the dynamics of the competition process generate oscillations in the abundances of species, and these oscillations allow the coexistence of greater number of species than the number of limiting resources (N > K). This result is a direct contradiction of an existing activated sludge steady state competition theory, "the principle of competitive exclusion," which states that the competition process proceeds to equilibrium, allowing only N ≤ K species to coexist. The model was used to investigate the effect of varying solids retention times on the diversity of species using the conventional, completely mixed activated sludge configuration. The results of model simulations showed that for a certain range of solids retention times (2.28-5.66 days) the competition of six species for three essential resources produces oscillations within the structure of the bacterial community allowing for the sustained growth of more than three species on three resources.

Department(s)

Civil, Architectural and Environmental Engineering

Keywords and Phrases

activated sludge; bacterium; competition (ecology); nutrient limitation; sewage treatment; theoretical study; Bacteria (microorganisms); bacterial phenomena and functions; biodiversity; biological model; comparative study; competitive behavior; computer simulation; ecosystem; microbiology; physiology; population dynamics; sewage; species difference; Bacterial Physiology; Biodiversity; Competitive Behavior; Computer Simulation; Ecosystem; Models, Biological; Population Dynamics; Sewage; Species Specificity

International Standard Serial Number (ISSN)

0095-3628

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2004 Springer Verlag, All rights reserved.

Publication Date

01 Oct 2004

Link to Full Text

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