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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.
Batchabani, E., Sormain, E., & Fuamba, M. (2016). Potential Impacts of Projected Climate Change on Flooding in the Riviere Des Prairies Basin, Québec, Canada: One-Dimensional and Two-Dimensional Simulation-Based Approach. Journal of Hydrologic Engineering, 21(12), 19 pages. External link
Batchabani, E., & Fuamba, M. (2015). Conjunctive use of engineering and optimization in water distribution system design. World Journal of Engineering and Technology, 3(4), 158-175. Available
Batchabani, E. (2014). Nouvelle approche pour le dimensionnement et l'optimisation de la gestion des réservoirs et de la qualité de l'eau potable dans les réseaux de distribution [Ph.D. thesis, École Polytechnique de Montréal]. Available
Batchabani, E., & Fuamba, M. (2014). Optimal tank design in water distribution networks: Review of literature and perspectives. Journal of Water Resources Planning and Management, 140(2), 136-145. External link
Batchabani, E., & Fuamba, M. (2013). Discussion of "Water Distribution System Analysis: Newton-Raphson Method Revisited" by M. Spiliotis and G. Tsakiris. Journal of Hydraulic Engineering, 139(8), 917-918. External link
Batchabani, E., Jalliffier-Verne, I., & Fuamba, M. (2012). Discussion of "Theory-Based Scs-Cn Method and Its Applications" by W. H. Chung, I. T. Wang, and R. Y. Wang. Journal of Hydrologic Engineering, 17(2), 354-355. External link
Fuamba, M., Branger, F., Braud, I., Batchabani, E., Sanzana, P., Sarrazin, B., & Jankowfsky, S. (2019). Value of distributed water level and soil moisture data in the evaluation of a distributed hydrological model: Application to the PUMMA model in the Mercier catchment (6.6 km2) in France. Journal of Hydrology: Regional Studies, 569, 753-770. Available
Inejih, M. Y., Szymoniak, L., Dellal, M., & Batchabani, E. (2019). Discussion of "Low-Impact Development Effects on Aquifer Recharge Using Coupled Surface and Groundwater Models" by Eva W. Mooers, Rob C. Jamieson, Jenny L. Hayward, John Drage, and Craig B. Lake. Journal of Hydrologic Engineering, 24(8), 07019002 (3 pages). External link
Trudel, G., Courchesne, D., Fuamba, M., & Batchabani, E. (2019, July). Requalification urbaine de l'avenue Papineau à Montréal : Implantation d'une infrastructure verte de bassins de biorétention pour lutter contre les débordements fréquents lors de fortes pluies [Urban Requalification of the Papineau Avenue in City of Montreal: Implementation of a green infrastructure of bioretention basins to fight frequent overflows during heavy rainfalls]. [Paper]. 10e Conférence internationale Novatech : l'eau dans la ville, stratégies & solutions pour une gestion durable (NOVATECH 2019), Lyon, France. External link
