Statistical Exposé of a Multiple-Compartment Anaerobic Reactor Treating Domestic Wastewater
| Autor: | Martha J. Hahn, Andrew Ross Pfluger, Amanda S. Hering, Junko Munakata-Marr, Linda Figueroa |
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| Rok vydání: | 2018 |
| Předmět: |
Time Factors
0208 environmental biotechnology 02 engineering and technology Wastewater 010501 environmental sciences complex mixtures 01 natural sciences Methane Water Purification chemistry.chemical_compound Bioreactors Environmental Chemistry Anaerobic reactor Anaerobic treatment Anaerobiosis Methane production Waste Management and Disposal 0105 earth and related environmental sciences Water Science and Technology Family Characteristics Ecological Modeling Chemical oxygen demand Particulates Pulp and paper industry Pollution 020801 environmental engineering chemistry Environmental science Anaerobic exercise |
| Zdroj: | Water Environment Research. 90:530-542 |
| ISSN: | 1061-4303 |
| DOI: | 10.2175/106143017x15131012153068 |
| Popis: | Mainstream anaerobic treatment of domestic wastewater is a promising energy-generating treatment strategy; however, such reactors operated in colder regions are not well characterized. Performance data from a pilot-scale, multiple-compartment anaerobic reactor taken over 786 days were subjected to comprehensive statistical analyses. Results suggest that chemical oxygen demand (COD) was a poor proxy for organics in anaerobic systems as oxygen demand from dissolved inorganic material, dissolved methane, and colloidal material influence dissolved and particulate COD measurements. Additionally, univariate and functional boxplots were useful in visualizing variability in contaminant concentrations and identifying statistical outliers. Further, significantly different dissolved organic removal and methane production was observed between operational years, suggesting that anaerobic reactor systems may not achieve steady-state performance within one year. Last, modeling multiple-compartment reactor systems will require data collected over at least two years to capture seasonal variations of the major anaerobic microbial functions occurring within each reactor compartment. |
| Databáze: | OpenAIRE |
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