Constructed wetlands: Prediction of performance with case-based reasoning (part B)
Lee, B, Scholz, M, Horn, A and Furber, AM 2006, 'Constructed wetlands: Prediction of performance with case-based reasoning (part B)' , Environmental Engineering Science, 23 (2) , pp. 332-340.
|PDF - Published Version |
Download (127kB) | Preview
The aim of this research was to assess the treatment efficiencies for gully pot liquor of experimental vertical- flow constructed wetland filters containing Phragmites australis (Cav.) Trin. ex Steud. (common reed) and filter media of different adsorption capacities. Six out of 12 filters received inflow water spiked with metals. For 2 years, hydrated nickel and copper nitrate were added to sieved gully pot liquor to simulate contaminated primary treated storm runoff. The findings were analyzed and discussed in a previous paper (Part A). Case-based reasoning (CBR) methods were applied to predict 5 days at 20°C N-Allylthiourea biochemical oxygen demand (BOD) and suspended solids (SS), and to demonstrate an alternative method of analyzing water quality performance indicators. The CBR method was successful in predicting if outflow concentrations were either above or below the thresholds set for water-quality variables. Relatively small case bases of approximately 60 entries are sufficient to yield relatively high predictions of compliance of at least 90% for BOD. Biochemical oxygen demand and SS are expensive to estimate, and can be cost-effectively controlled by applying CBR with the input variables turbidity and conductivity.
|Themes:||Subjects outside of the University Themes|
|Schools:||Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Civil Engineering Research Centre|
|Journal or Publication Title:||Environmental Engineering Science|
|Publisher:||Mary Ann Liebert|
|Depositing User:||Users 29196 not found.|
|Date Deposited:||21 Mar 2012 14:42|
|Last Modified:||20 Aug 2013 18:25|
Actions (login required)
|Edit record (repository staff only)|