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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.
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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.
Burnet, J.-B., Demeter, K., Dorner, S., Farnleitner, A. H., Hammes, F., Pinto, A., Prest, E. I., Prévost, M., Stott, R., & van Bel, N. (2025). Automation of on-site microbial water quality monitoring from source to tap: challenges and perspectives. Water Research, 123121 (62 pages). External link
Burnet, J.-B., Habash, M., Hachad, M., Khanafer, Z., Prévost, M., Servais, P., Sylvestre, É., & Dorner, S. (2021). Automated Targeted Sampling of Waterborne Pathogens and Microbial Source Tracking Markers Using Near-Real Time Monitoring of Microbiological Water Quality. Water, 13(15), 2069 (12 pages). Available
Burnet, J.-B., Dinh, Q. T., Imbeault, S., Servais, P., Dorner, S., & Prévost, M. (2019). Autonomous online measurement of β-D-glucuronidase activity in surface water: is it suitable for rapid E. coli monitoring? Water Research, 152, 241-250. External link
Burnet, J.-B., Sylvestre, E., Jalbert, J., Imbeault, S., Servais, P., Prévost, M., & Dorner, S. (2019). Tracking the contribution of multiple raw and treated wastewater discharges at an urban drinking water supply using near real-time monitoring of -D-glucuronidase activity. Water Research, 164, 13 pages. External link
Burnet, J.-B., Faraj, T., Cauchie, H.-M., Joaquim-Justo, C., Servais, P., Prévost, M., & Dorner, S. (2017). How does the cladoceran Daphnia pulex affect the fate of Escherichia coli in water? PLOS One, 12(2), 1-16. Available
Chik, A. H. S., Glier, M. B., Servos, M., Mangat, C. S., Pang, X.-L., Qiu, Y., D'Aoust, P. M., Burnet, J.-B., Delatolla, R., Dorner, S., Geng, Q., Giesy, J. P., McKay, R. M., Mulvey, M. R., Prystajecky, N., Srikanthan, N., Xie, Y., Conant, B., & Hrudey, S. E. (2021). Comparison of approaches to quantify SARS-CoV-2 in wastewater using RT-qPCR: Results and implications from a collaborative inter-laboratory study in Canada. Journal of Environmental Sciences (China), 107, 218-229. External link
Cazals, M., Stott, R., Fleury, C., Proulx, F., Prévost, M., Servais, P., Dorner, S., & Burnet, J.-B. (2020). Near real-time notification of water quality impairments in recreational freshwaters using rapid online detection of beta-D-glucuronidase activity as a surrogate for Escherichia coli monitoring. Science of The Total Environment, 720, 137303 (9 pages). External link
Demeter, K., Burnet, J.-B., Stadler, P., Kirschner, A. K. T., Zessner, M., & Farnleitner, A. H. (2020). Automated online monitoring of fecal pollution in water by enzymatic methods. Current Opinion in Environmental Science & Health, 16, 82-91. Available
Hachad, M., Burnet, J.-B., Sylvestre, É., Duy, S. V., Villemur, R., Sauvé, S., Prévost, M., Qiu, J., Pang, X., & Dorner, S. (2024). β-D-glucuronidase activity triggered monitoring of fecal contamination using microbial and chemical source tracking markers at drinking water intakes. Water Research, 254, 121374 (10 pages). Available
Jalbert, J., Ratté-Fortin, C., Burnet, J.-B., & Papillon, É. (2024). Categorization of precipitation for predicting combined sewer overflows. Application to the City of Montréal. Journal of Hydrology, 637, 131333 (7 pages). Available
Leveque, B., Shyaka, A. I., Ndong, M., Kammoun, R., Burnet, J.-B., Dorner, S., & Bichai, F. (2025). Vulnerability assessment of drinking water intakes to microbial contamination during combined sewer overflows under global change: A bottom-up approach. PLOS Water, 21 pages. Available
Leveque, B., Irakiza Shyaka, A., Ndong, M., Jalbert, J., Burnet, J.-B., Kammoun, R., Dorner, S., & Bichai, F. (2024). Assessing the vulnerability of urban drinking water intakes to water scarcity under global change: A bottom-up approach. Environmental challenges, 15, 11 pages. External link
Nguyen-Thanh, L., Burnet, J.-B., Kammoun, R., McQuaid, N., & Dorner, S. (2026). Automated β-D-glucuronidase activity monitoring for identification of combined sewer overflows driving microbial water quality degradation. Water Research X, 31, 100549 (13 pages). External link
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, 23(3), 413-427. Available
Sylvestre, É., Dorner, S., Burnet, J.-B., Smeets, P., Medema, G., Cantin, P., Villion, M., Robert, C., Ellis, D., Servais, P., & Prévost, M. (2021). Changes in Escherichia coli to enteric protozoa ratios in rivers: Implications for risk-based assessment of drinking water treatment requirements. Water Research, 205, 10 pages. External link
Sylvestre, É., Prévost, M., Burnet, J.-B., Pang, X., Qiu, Y., Smeets, P., Medema, G., Hachad, M., & Dorner, S. (2021). Demonstrating the reduction of enteric viruses by drinking water treatment during snowmelt episodes in urban areas. Water Research X, 11. External link
Sylvestre, É., Burnet, J.-B., Dorner, S., Smeets, P., Medema, G., Villion, M., Hachad, M., & Prévost, M. (2021). Impact of Hydrometeorological Events for the Selection of Parametric Models for Protozoan Pathogens in Drinking-Water Sources. Risk Analysis, 41(8), 1413-1426. External link
Sylvestre, É., Prévost, M., Smeets, P., Medema, G., Burnet, J.-B., Cantin, P., Villion, M., Robert, C., & Dorner, S. (2021). Importance of Distributional Forms for the Assessment of Protozoan Pathogens Concentrations in Drinking-Water Sources. Risk Analysis, 41(8), 1396-1412. External link
Sylvestre, É., Prévost, M., Burnet, J.-B., Smeets, P., Medema, G., Hachad, M., & Dorner, S. (2021). Using surrogate data to assess risks associated with microbial peak events in source water at drinking water treatment plants. Water Research, 200, 10 pages. External link
Sylvestre, É., Burnet, J.-B., Smeets, P., Medema, G., Prévost, M., & Dorner, S. (2020). Can routine monitoring of E. coli fully account for peak event concentrations at drinking water intakes in agricultural and urban rivers? Water Research, 170, 12 pages. External link
Tromas, N., Goitom, E., Chin, T., Dinh, Q. T., Dorner, S., Khawasik, O. S., Cristescu, M. E., & Burnet, J.-B. (2025). Impact of grazing by multiple Daphnia species on wastewater bacterial communities. The Science of the total environment, 962, 178364 (11 pages). Available
Tolouei, S., Autixier, L., Taghipour, M., Burnet, J.-B., Bonsteel, J., Duy, S. V., Sauvé, S., Prévost, M., & Dorner, S. (2019). Precipitation effects on parasite, indicator bacteria, and wastewater micropollutant loads from a water resource recovery facility influent and effluent. Journal of Water and Health, 17(5), 701-716. External link
Tolouei, S., Burnet, J.-B., Autixier, L., Taghipour, M., Bonsteel, J., Duy, S. V., Sauvé, S., Prévost, M., & Dorner, S. (2019). Temporal variability of parasites, bacterial indicators, and wastewater micropollutants in a water resource recovery facility under various weather conditions. Water Research, 148, 446-458. External link
