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Simulation of Biodegradation in Infiltration Seepage-- Model Development and Hydrodynamic Calibration
Wastewater sanitation using infiltration seepage belongs to the attached growth treatment line for pollutant waste. In a specific geographical context, and for a population of approximately 500 to 1000 population equivalent, it seems to be a good choice. Despite its rustic reputation, it is a consid...
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Published in: | Water, air, and soil pollution air, and soil pollution, 2006-11, Vol.177 (1-4), p.19-43 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Wastewater sanitation using infiltration seepage belongs to the attached growth treatment line for pollutant waste. In a specific geographical context, and for a population of approximately 500 to 1000 population equivalent, it seems to be a good choice. Despite its rustic reputation, it is a considerably complex treatment line. The aim of this study is to contribute--using numerical simulation--to the understanding of the physical and biochemical phenomena which develop inside an infiltration seepage bed. The aspects which are essential to bacterial activity--the hydrodynamics of the porous medium, the development of the active biomass, transport of substrate, oxygen transfer and consumption--are dealt with. The splitting operator technique is used; its advantage is the separate solution of the convection, dispersion and kinetics equations; each with appropriate numerical techniques. By testing a methodical verification of the model, based on the analytical solutions, we learn that the hydrodynamic dispersion and the rate of degradation have opposite effects on the efficiency in decreasing the pollution loads. Moreover, a significant result which is obtained is the evaluation of the oxygenation capacities in relation to some of the treatment line's key parameters. Finally, we carried out by experiments a successful calibration of the flow model. |
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ISSN: | 0049-6979 1573-2932 |
DOI: | 10.1007/s11270-005-9046-1 |