Dwight Houweling (Dynamita North America) and Kevan Brian (Watercare Services Ltd)
The challenge facing practitioners working with wastewater stabilization ponds is often deriving actionable insights from incomplete information. Sampling and measurements of key operating indicators may be limited and sporadic. This paper
describes an integrated model that can be used for scenario simulation and to help practitioners derive actionable insights from the data they have.
This paper describes an integrated model framework for practitioners to test “what if” type scenarios. The model is implemented in the SUMO™ simulation software which uses an open-source framework for viewing and editing biological, physico-chemical and transport model equations. The model has been developed specifically for algal based oxidation ponds that we have in New Zealand and has been calibrated and validated against real data from one of Watercare’s oxidation pond systems.