Towards the Design of Diversity: Stochastic Models for Community Assembly in Wastewater Treatment Plants.
From: School of Civil Engineering and Geosciences, Newcastle University, Newcastle NE1 7RU, UK. tom.curtis@ncl.ac.uk
Water science and technology : a journal of the International Association on Water Pollution Research
- Publish Date: 2006
- ISSN: 0273-1223
- Volume: 54
- Issue: 1
- Pages: 227-36
- Medium: Print
- Language: English
- Citation (JAMA): Curtis T P, Sloan W T, et al. Towards the Design of Diversity: Stochastic Models for Community Assembly in Wastewater Treatment Plants.. Water Sci. Technol. 2006;54:227-36
Abstract
We believe that the engineering of wastewater treatment systems would be improved if we could predict and manipulate the composition, that is, the diversity of such systems. This ability would complement our established ability to predict the size of treatment communities. The theoretically based design of diversity in wastewater treatment systems is held by some to be unnecessary and by others to be impossible. In this paper we point to important phenomena in wastewater treatment, such as acclimation, adaptation and functional redundancy that would benefit from the ability to confidently design diversity. We set out a rationale and a mathematical framework for a stochastic approach to the design of diversity and show that, in principle, this approach works with two important functional groups in wastewater treatment. The implications for design and theory are briefly discussed.
Mesh Headings (Keywords): Bacteria, Environmental Remediation, Industrial Waste, Models, Theoretical, RNA, Bacterial, RNA, Ribosomal, 16S, Species Specificity, Stochastic Processes
Check for Full Text / PubMed Unique Identifier (PMID): 16898156
This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.
Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.
The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.