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Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment

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Modelling waste stabilisation ponds with an extended version of ASM3.

T Gehring¹, J D Silva, O Kehl

¹Institute of Environmental Engineering, Ruhr-Universität Bochum, 44780 Bochum, Germany. siwawi@rub.de

Water Science and Technology : a Journal of the International Association on Water Pollution Research

|February 13, 2010

Summary

This summary is machine-generated.

This study enhances the Activated Sludge Model No 3 (ASM3) to simulate waste stabilization ponds (WSP), successfully modeling ammonia removal and algae growth in a pilot leachate treatment system.

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Area of Science:

Environmental Engineering
Water Treatment Technologies
Biogeochemical Modeling

Background:

Activated Sludge Model No 3 (ASM3) is a widely used model for wastewater treatment.
Waste stabilization ponds (WSP) are effective and low-cost systems for treating various wastewaters.
Accurate simulation of WSP processes, including algae dynamics and gas transfer, is crucial for optimizing their performance.

Purpose of the Study:

To extend the ASM3 model for simulating processes within waste stabilization ponds (WSP).
To integrate algae biomass, gas transfer (O2, CO2, NH3), and ionic equilibrium into the model.
To validate the enhanced model using data from a pilot-scale WSP treating landfill leachate.

Main Methods:

Extended the IWA's Activated Sludge Model No 3 (ASM3) by incorporating algae biomass and gas transfer modules.
Included dependencies on wind velocity for gas transfer and simple ionic equilibrium.
Applied the modified model to a pilot-scale WSP system in Florianópolis, Brazil, treating municipal waste leachate.
Utilized measured influent and operational data for model calibration and validation.

Main Results:

The enhanced model accurately simulated pH and ammonia removal in the pilot WSP system.
Achieved high ammonia nitrogen removal (89.5%) with significant ammonia stripping observed.
Modeled algae concentrations based on chlorophyll a, light intensity, and total suspended solids (TSS).
Quantified oxygen input influenced by wind velocity (11.1–14.4 g(O2)/(m(2) d)) and ammonia stripping rates (18.2 and 4.5 g(N)/(m(2) d)).

Conclusions:

The extended ASM3 provides a robust tool for simulating WSP performance, particularly for leachate treatment.
Ammonia stripping is a significant removal pathway in WSP, influenced by environmental factors like wind velocity.
The model successfully captures the interplay between physical, chemical, and biological processes in WSP, including algae dynamics.