Effects of in-sewer processes: a stochastic model approach
J Vollertsen1, A H Nielsen, W Yang
1Aalborg University, Section of Environmental Engineering, Sohngaardsholmsvej 57, 9000 Aalborg, Denmark. jv@bio.aau.dk
This study simulates sewer processes like organic matter, nitrogen, and sulfur transformations to manage hydrogen sulfide formation and corrosion. It introduces the WATS model for integrated water and gas phase simulations, accounting for variability using stochastic modeling.
Area of Science:
- Environmental Engineering
- Wastewater Treatment
- Sewer Systems
Background:
- Sewer systems involve complex transformations of organic matter, nitrogen, and sulfur.
- Hydrogen sulfide formation and corrosion are significant issues in sewers, impacting infrastructure.
- Accurate simulation requires considering both water and gas phases and volatile transport.
Purpose of the Study:
- To present the latest developments of the WATS model concept for sewer process simulation.
- To enable integrated aerobic, anoxic, and anaerobic simulation of both water and gas phases.
- To address the complexity and high variability of wastewater composition and transformations in sewers.
Main Methods:
- Developing an integrated model for water and gas phase processes in sewers.
- Incorporating transformation and transport processes of organic matter, nitrogen, and sulfur.
- Utilizing stochastic modeling to handle model complexity and parameter variability.
Main Results:
- The WATS model concept allows for integrated simulation of water and gas phase processes.
- The model accounts for transformations and transport of key substances, including volatile compounds.
- Stochastic modeling effectively addresses the inherent complexity and variability of sewer environments.
Conclusions:
- The advanced WATS model provides a comprehensive tool for simulating sewer processes.
- Managing hydrogen sulfide formation and corrosion can be improved through integrated phase modeling.
- Stochastic approaches are crucial for realistic simulations of dynamic sewer environments.
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