| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4389829 | Ecological Engineering | 2013 | 9 Pages |
Fuzzy logic-based methods have been recently applied to environmental problems, demonstrating appropriateness to address imprecise data. A methodology, based on fuzzy inference systems (FIS) is presented, in an effort to assess organic matter removal efficiency in free-water surface (FWS) constructed wetlands (CWs). A fuzzy model was developed and is validated using experimental data collected in a two-year period in five pilot-scale FWS CW units. The CWs differed in plan view shape, soil type of the substrate material and plant species, and operated under four different hydraulic residence times (HRTs) at various ambient conditions. Model predictions showed good agreement with the experimental data. An effort was also made to collect data from the literature and verify the model using independent data from various other CWs of different settings and operating conditions. The proposed methodology seems to be a satisfactory modeling tool to be used in predicting FWS CW performance.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► Modeling of BOD and COD removal in free-water surface constructed wetlands. ► Development of fuzzy logic models. ► Validation with experimental data from five pilot-scale facilities. ► Sensitivity analysis on HRT, temperature, month, solar heat flux – response curves. ► Verification with data from the literature under various settings and conditions.
