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Model-based analysis of increased loads on the performance of activated sludge and waste stabilization ponds

Long Tuan Ho (UGent) , Cassia Pompeu, Wout Van Echelpoel (UGent) , Olivier Thas (UGent) and Peter Goethals (UGent)
(2018) WATER. 10(10).
Author
Organization
Abstract
In a way to counter criticism on low cost-effective conventional activated sludge (AS) technology, waste stabilization ponds (WSPs) offer a valid alternative for wastewater treatment due to their simple and inexpensive operation. To evaluate this alternative with respect to its robustness and resilience capacity, we perform in silico experiments of different peak-load scenarios in two mathematical models representing the two systems. A systematic process of quality assurance for these virtual experiments is implemented, including sensitivity and identifiability analysis, with non-linear error propagation. Moreover, model calibration of a 210-day real experiment with 31 days of increased load was added to the evaluation. Generally speaking, increased-load scenarios run in silico showed that WSP systems are more resilient towards intermediate disturbances, hence, are suitable to treat not only municipal wastewater, but also industrial wastewater, such as poultry wastewater, and paperboard wastewater. However, when disturbances are extreme (over 7000 mg COD.L-1), the common design of the natural system fails to perform better than AS. Besides, the application of sensitivity analysis reveals the most influential parameters on the performance of the two systems. In the AS system, parameters related to autotrophic bacteria have the highest influence on the dynamics of particulate organic matter, while nitrogen removal is largely driven by nitrification and denitrification. Conversely, with an insignificant contribution of heterotrophs, the nutrient removal in the pond system is mostly done by algal assimilation. Furthermore, this systematic model-based analysis proved to be a suitable means for investigating the maximum load of wastewater treatment systems, and from that avoiding environmental problems and high economic costs for cleaning surface waters after severe overload events.
Keywords
activated sludge, waste stabilization pond, climate change, peak load, scenario analysis, sensitivity analysis, PRACTICAL IDENTIFIABILITY, WATER, UNCERTAINTY, SIMULATION, SYSTEMS, SENSITIVITY, PARAMETERS

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Citation

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MLA
Ho, Long Tuan, Cassia Pompeu, Wout Van Echelpoel, et al. “Model-based Analysis of Increased Loads on the Performance of Activated Sludge and Waste Stabilization Ponds.” WATER 10.10 (2018): n. pag. Print.
APA
Ho, Long Tuan, Pompeu, C., Van Echelpoel, W., Thas, O., & Goethals, P. (2018). Model-based analysis of increased loads on the performance of activated sludge and waste stabilization ponds. WATER, 10(10).
Chicago author-date
Ho, Long Tuan, Cassia Pompeu, Wout Van Echelpoel, Olivier Thas, and Peter Goethals. 2018. “Model-based Analysis of Increased Loads on the Performance of Activated Sludge and Waste Stabilization Ponds.” Water 10 (10).
Chicago author-date (all authors)
Ho, Long Tuan, Cassia Pompeu, Wout Van Echelpoel, Olivier Thas, and Peter Goethals. 2018. “Model-based Analysis of Increased Loads on the Performance of Activated Sludge and Waste Stabilization Ponds.” Water 10 (10).
Vancouver
1.
Ho LT, Pompeu C, Van Echelpoel W, Thas O, Goethals P. Model-based analysis of increased loads on the performance of activated sludge and waste stabilization ponds. WATER. 2018;10(10).
IEEE
[1]
L. T. Ho, C. Pompeu, W. Van Echelpoel, O. Thas, and P. Goethals, “Model-based analysis of increased loads on the performance of activated sludge and waste stabilization ponds,” WATER, vol. 10, no. 10, 2018.
@article{8580499,
  abstract     = {In a way to counter criticism on low cost-effective conventional activated sludge (AS) technology, waste stabilization ponds (WSPs) offer a valid alternative for wastewater treatment due to their simple and inexpensive operation. To evaluate this alternative with respect to its robustness and resilience capacity, we perform in silico experiments of different peak-load scenarios in two mathematical models representing the two systems. A systematic process of quality assurance for these virtual experiments is implemented, including sensitivity and identifiability analysis, with non-linear error propagation. Moreover, model calibration of a 210-day real experiment with 31 days of increased load was added to the evaluation. Generally speaking, increased-load scenarios run in silico showed that WSP systems are more resilient towards intermediate disturbances, hence, are suitable to treat not only municipal wastewater, but also industrial wastewater, such as poultry wastewater, and paperboard wastewater. However, when disturbances are extreme (over 7000 mg COD.L-1), the common design of the natural system fails to perform better than AS. Besides, the application of sensitivity analysis reveals the most influential parameters on the performance of the two systems. In the AS system, parameters related to autotrophic bacteria have the highest influence on the dynamics of particulate organic matter, while nitrogen removal is largely driven by nitrification and denitrification. Conversely, with an insignificant contribution of heterotrophs, the nutrient removal in the pond system is mostly done by algal assimilation. Furthermore, this systematic model-based analysis proved to be a suitable means for investigating the maximum load of wastewater treatment systems, and from that avoiding environmental problems and high economic costs for cleaning surface waters after severe overload events.},
  articleno    = {1410},
  author       = {Ho, Long Tuan and Pompeu, Cassia and Van Echelpoel, Wout and Thas, Olivier and Goethals, Peter},
  issn         = {2073-4441},
  journal      = {WATER},
  keywords     = {activated sludge,waste stabilization pond,climate change,peak load,scenario analysis,sensitivity analysis,PRACTICAL IDENTIFIABILITY,WATER,UNCERTAINTY,SIMULATION,SYSTEMS,SENSITIVITY,PARAMETERS},
  language     = {eng},
  number       = {10},
  pages        = {17},
  title        = {Model-based analysis of increased loads on the performance of activated sludge and waste stabilization ponds},
  url          = {http://dx.doi.org/10.3390/w10101410},
  volume       = {10},
  year         = {2018},
}

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