Sustainable Hydrogel Filters for Efficient Microplastic and Nanoplastic Removal in Wastewater

Micro- and nanoplastic (MP/NP) pollution is a pressing global issue resulting from the widespread use of plastics. These minute particles, present in everyday products, accumulate in the environment, even being detected in infant feces and blood. Addressing this concern is paramount, with wastewater treatment processes (WWTPs) playing a pivotal role. However, conventional WWTPs encounter challenges […]

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Pilot Scale Optimization of Microbial Biostimulants from Organic Waste for Enhanced Crop Performance and Resistance

Fertilizers derived from organic waste are well positioned to fortify ‘sustainable’ agricultural practices in Canada and elsewhere by reducing energy-expensive fertilizer production, reducing waste and addressing the overuse of pesticides on food crops, medicinal plants and natural health products derived from plant products. Circulus Agtech Inc., with its organic waste-to-fertilizer process, produces excess microbial biomass […]

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Simultaneous Removal/Degradation of Three Cyanotoxins in Drinking Water Source (Detroit River), using Ozone & Ozone based Advanced Oxidation Process (AOP)

The project will provide drinking water systems using ozone/AOP, or planning to use ozone/AOP in the near future, to operate with the optimum ozone/AOP concentrations, pH during different temperatures for the effective removal of three cyanotoxins. The findings of the research project will provide the operation of drinking water systems with optimum operation procedures to […]

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The Impact of Tanks on Surface Hydrology using a Combined Hydrological Modelling and Remote Sensing Approach in an Ungauged Basin

Small reservoirs are widely used in semi-arid regions by local rural communities for water harvesting. South India is a prime example of a region characterized by an unpredictable, severe climate with over 160,000 ancient old water storage reservoir structures (known as tanks) that are no longer fully utilized since the introduction of groundwater extraction. Today, […]

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Caractérisation de la spéciation et traitement des thiosels provenant des collecteurs par rapport aux rejets miniers riches en pyrrhotite

Les thiosels figurent parmi les contaminants d’intérêt émergeant présents dans les effluents miniers, leur importance ayant été accrue en raison du resserrement des réglementations dans l’activité minière canadienne. Ils sont responsables de l’acidité retardée, entraînant une toxicité aquatique dans les plans d’eau récepteurs. Ces contaminants sont générés en tant que produits intermédiaires lors de l’oxydation […]

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Exploring water-light interactions and protein dynamics during simultaneous environmental perturbations using near-infrared spectroscopy and aquaphotomics

This project will explore the interactions between water’s molecular structure and light, and use this knowledge to study the behaviour of proteins within the water sample. The intern will collect data using near-infrared spectroscopy (NIRS), which can provide insight into what a sample contains based on how different materials absorb light. Samples with a high […]

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Developing a Novel Clustering-Merging method based on Machine Learning Algorithms

The main objective of the current research is to enhance the detection, clustering, and estimation of Extreme Precipitation Events (EPEs) in arid and semi-arid regions. To achieve this goal, we propose a novel framework called Machine-learning-based Clustering-merging algorithms (ML-CMAs) for satellite-based precipitation products (SPPs). Daily precipitation measurements were utilized for training and evaluating EPEs estimation […]

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Estimation de débits de crues saisonniers dans un contexte de changement climatique à l’aide des modèles d’apprentissage machine dans le Québec méridional

L’estimation des forts débits dans un contexte de changement climatique est une tâche essentielle à bien des égards pour notre société. Elle permet en l’occurrence d’analyser l’impact et les stratégies de mitigation face aux aléas naturels comme les inondations. Différentes approches ont été proposées pour répondre à ce besoin dont la modélisation hydro-climatologique (MHC) et […]

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Leak Detection with Economics-Driven Convolutional Neural Networks applied to German cities and benchmarking with previous studies

This project aims to employ cutting-edge deep learning models to address the critical issue of water leakage in water distribution networks (WDNs). Leakage in WDNs leads to significant water wastage, infrastructure damage, service disruption, and even contamination. The proposed approach leverages Convolutional Neural Networks (CNNs) trained explicitly for optimizing leak detection. Using synthetic datasets that […]

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Estimation des précipitations maximales probables à partir de précipitations observées et simulées par un modèle de climat

Les ingénieurs utilisent les précipitations maximales probables (PMP) pour concevoir des infrastructures résistantes aux aléas hydrométéorologiques. La PMP est définie par l’Organisation Mondiale Météorologique (OMM) comme la quantité maximale d’eau pouvant s’accumuler en une période donnée dans une région, indépendamment des tendances climatiques à long terme. Une mauvaise estimation de la PMP peut entraîner des […]

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Prediction and management of the long-term environmental risk of mine waste rock piles via 5G-enabled instrumentation and monitoring

Mining activities generate large quantities of waste rock after valuable metals are extracted. Upon exposure to air and water, a diverse range of metals and metalloids are released and mobilized to the surrounding environment. There is an urgent need to manage the environmental risk posed by mine waste rock piles given the scale of the […]

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