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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Guérineau, H., Dorner, S., Carrière, A., McQuaid, N., Sauvé, S., Aboulfadl, K., Hajj-Mohamad, M., & Prévost, M. (2014). Source tracking of leaky sewers: A novel approach combining fecal indicators in water and sediments. Water Research, 58, 50-61. External link
Kammoun, R., McQuaid, N., Prévost, M., Bichai, F., & Dorner, S. (2023). Comparative study of deterministic and probabilistic assessments of microbial risk associated with combined sewer overflows upstream of drinking water intakes. Environmental challenges, 12, 100735-100735. Available
Kammoun, R., McQuaid, N., Lessard, V., Goitom, E. A., Prévost, M., Bichai, F., & Dorner, S. (2023). Risk assessment of drinking water intake contamination from agricultural activities using a Bayesian network. PLOS Water, 2(7), 25 pages. Available
Le Cauchois, P., Doucet, S., Bouattour, O., McQuaid, N., Beral, H., Kõiv-Vainik, M., Bichai, F., McCarthy, D., St-Laurent, J., Dagenais, D., Bennekrela, N., Guerra, J., Hachad, M., Kammoun, R., & Dorner, S. (2025). Full-scale characterization of the effects of a bioretention system on water quality and quantity following the replacement of a mixed stormwater and combined sewer system. Blue-Green Systems, 7(1), 43-62. External link
McQuaid, N. (2009). Establishment of an early warning system for cyanobacteria using an online multi-probe system measuring physicochemical parameters, chlorophyll and phycocyanin [Master's thesis, École Polytechnique de Montréal]. Available
Nguyen, T. L., Hachad, M., McQuaid, N., Krylova, K., Nguyen, H. T. L., Visentin, F., Burnet, J.-B., Quete, F. S., Maere, T., Tsitouras, A., Vanrolleghem, P., Frigon, D., Loeb, S., Dorner, S., & Goitom, E. (2025). Hydrological and physicochemical parameters associated with SARS-CoV-2 and pepper mild mottle virus wastewater concentrations for a large-combined sewer system. Journal of Water and Health, 15 pages. External link
Petrucci, J., Jalbert, J., Dorner, S., McQuaid, N., & Bichai, F. (2025). Strategic Prioritization of Sewersheds to Mitigate Combined Sewer Overflows under Climate Change. Environmental Challenges, 101088 (37 pages). External link
Pazouki, P., Prévost, M., McQuaid, N., Barbeau, B., de Boutray, M.-L., Zamyadi, A., & Dorner, S. (2016). Breakthrough of cyanobacteria in bank filtration. Water Research, 102, 170-179. External link
Zamyadi, A., McQuaid, N., Dorner, S., Bird, D. F., Burch, M., Baker, P., Hobson, P., & Prévost, M. (2012). Cyanobacterial detection using in vivo fluorescence probes: Managing interferences for improved decision-making. Journal - American Water Works Association, 104(8), E466-E479. External link
