Knowledge Mobilization
Short, educational content covering a spectrum of topics, from groundbreaking technolgies to innovative processes addressing the water issues of today
Bishop
Bishop
PFAS
Advancements in Addressing PFAS in Canadian Water Systems
OWC hosted a webinar to explore ongoing research in detecting and treating per- and polyfluoroalkyl substances (PFAS) in Canadian water systems. Researchers and students presented significant advancements and future directions.

In this video, you will learn about:
– Innovative PFAS detection and treatment methods
– Progress in quantifying and treating PFAS in water and biosolids
– Advanced detection technologies and machine learning models
– Analytical workflows for PFAS characterization
– Novel PFAS subclass characterization methods
– Scale-up of thermal treatment technologies
– Experimental work on pyrolysis and fluorine capture
– Energy-efficient PFAS removal with membrane-vacuum UV systems
– Stakeholder engagement on treatment processes and costs
– The importance of continued research and collaboration to combat PFAS contamination

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Machine Learning
Machine Learning for Flood and Drought Forecasting
Dr. Andre Erler from Aquanty presents valuable knowledge about innovative approaches to tackle Canada’s costliest natural disasters.

In this video, you will learn about:
– Limitations of current forecasting methods
– Cutting-edge machine learning approach for ungauged watersheds
– Factors driving the approach’s success
– Superior forecast accuracy
– Operationalizing the method with Aquanty’s platform
– Real-time data processing complexities
– Input data availability challenges
– Stakeholder engagement importance
– Building trust with end-users
– Overcoming operational hurdles for flood and drought forecasting

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ZeeNAMMOX™
Energy & Resource Efficient Side-stream Nutrient Removal
Zebo Long from SUEZ Water Technologies & Solutions is presenting the ZeeNAMMOX™ novel technology for nutrient removal in sidestream wastewater.

In this video, you will learn about:
- A novel short-cut nitrogen removal process - ZeeNAMMOX™,
- PNA process and its advantages,
- A novel MBR process carrier,
- ZeeNAMMOX™ process development and its specifications.

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MBR Modeling
An Application of Machine Learning in Wastewater Modeling : Prediction of Membrane Fouling for Membrane Bioreactors
OWC partners McMaster University & Veolia’s collaborative study adopted the data-driven machine learning techniques to build models to predict transmembrane pressure at various stages of the MBR production cycle.

In this video, Prof. Zoe Li from McMaster University presents :
- Fundamental differences between mechanistic models and data-driven models and their application in wastewater treatment processes,
- Case study for prediction of membrane fouling for membrane bioreactors and critical findings,
- Other potential applications of machine learning for wastewater modeling.

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GLC webinar
Water Inequality:
Water Insecurity in First Nations Communities
OWC’s Graduate Leadership Council organized and hosted a webinar on August 9th with 30 water professionals in attendance.
The webinar recording and event summary are now available!

In this video:
- Rachel Arsenault presents the impacts of the First Nations water crisis to local
communities in Canada.
- Using the map of Ontario’s drinking water advisories in 2016, she illustrated and highlighted the water crisis occurred.
- Also, a timeline of water security impacts, reports, and legislation affecting First Nations in Ontario from 1919 to 2023 was presented.

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