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Fateh Chebana

Looking for students or interns

Areas of expertise

Data Science applied to the environment and environmental health

  • Full Professor
  • Data Science and Environmental Science Lab (DS & ES)

Eau Terre Environnement Research Centre

490 de la Couronne Street
Québec City, Quebec  G1K 9A9
CANADA

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Research interests

Professor Chebana’s research interest is mainly in Data science with focus on applications in environment and environmental health. His expertise is in a large variety of interdisciplinary research with data science approaches (including but not limited to hydrology, water sciences, climatology, climate epidemiology, climate change effects). He is interested in developing new data science methodologies, as well as adapting or applying recent/advanced approaches.

 

Book

Chebana, Fateh (2022). Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach. Elsevier, ix, 210 pages.

Training openings for students or interns

Publications

Boudreault, Jérémie, Ruf, Annabel, Campagna, Céline & Chebana, Fateh (2024). Multi-region models built with machine and deep learning for predicting several heat-related health outcomes. Sustainable Cities and Society, online.
DOI: 10.1016/j.scs.2024.105785

Boudreault, Jérémie, Lavigne, Éric, Campagna, Céline & Chebana, Fateh (2024). Estimating the heat-related mortality and morbidity burden in the province of Quebec, Canada. Environmental Research, 257: art. 119347.
DOI: 10.1016/j.envres.2024.119347

Boudreault, Jérémie, Campagna, Céline & Chebana, Fateh (2024). Revisiting the importance of temperature, weather and air pollution variables in heat-mortality relationships with machine learning. Environmental Science and Pollution Research, 31 (9): 14059-14070.
DOI: 10.1007/s11356-024-31969-z

Goutali, Dorsaf & Chebana, Fateh (2024). Multivariate overall and dependence trend tests, applied to hydrology. Environmental Modelling & Software, 179: art. 106090.
DOI: 10.1016/j.envsoft.2024.106090

Volpi, Elena, Grimaldi, Salvatore, AghaKouchak, Amir, Castellarin, Attilio, Chebana, Fateh, Papalexiou, Simon Michael, Aksoy, Hafzullah, Bárdossy, András, Cancelliere, Antonino, Chen, Yanfeng, Deidda, Roberto, Haberlandt, Uwe, Eris, Ebru, Fischer, Svenja, Francés, Felix, Kavetski, Dmitri, Rodding Kjeldsen, Thomas, Kochanek, Krzysztof, Langousis, Andreas, Mediero Orduña, Luis, Montanari, Alberto, Nerantzaki, Sofia D., Ouarda, Taha B. M. J., Prosdocimi, Ilaria, Ragno, Elesa, Rajulapati, Chandra R., Requena, Ana Isabel, Ridolfi, Elena, Sadegh, Mojtaba, Schumann, Andreas & Sharma, Ashish (2024). The legacy of STAHY: Milestones, achievements, challenges, and open problems in statistical hydrology. Hydrological Sciences Journal, online.
DOI: 10.1080/02626667.2024.2385686

Boudreault, Jérémie, Campagna, Céline & Chebana, Fateh (2023). Machine and deep learning for modelling heat-health relationships. Science of The Total Environment, 892: Art. 164660.
DOI: 10.1016/j.scitotenv.2023.164660

Chebana, Fateh (2023). Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach. Elsevier, ix, 210 pages.

Ben Nasr, Imene & Chebana, Fateh (2022). Estimation method for mixture copula models in hydrological context. Journal of Hydrology, 615 (Part A): Art. 128603.
DOI: 10.1016/j.jhydrol.2022.128603

Boudreault, Jérémie, Bergeron, Normand E., St-Hilaire, André & Chebana, Fateh (2022). A new look at habitat suitability curves through functional data analysis. Ecological Modelling, 467: Art. 109905.
DOI: 10.1016/j.ecolmodel.2022.109905

Jeljli, Amal, Houle, Daniel, Duchesne, Louis, El Shaarawi, Abdelhamid & Chebana, Fateh (2022). Evaluation of the factors governing dissolved organic carbon concentration in the soil solution of a temperate forest organic soil. Science of the Total Environment, 853: Art. 158240.
DOI: 10.1016/j.scitotenv.2022.158240

Masselot, Pierre, Ouarda, Taha B. M. J., Charron, Christian, Campagna, Céline, Lavigne, Éric, St-Hilaire, André, Chebana, Fateh, Valois, Pierre & Gosselin, Pierre (2022). Heat-related mortality prediction using low-frequency climate oscillation indices: Case studies of the cities of Montréal and Québec, Canada. Environmental Epidemiology, 6: Art. e206.
DOI: 10.1097/EE9.0000000000000206

Masselot, Pierre, Chebana, Fateh, Ouarda, Taha B. M. J., Bélanger, Diane & Gosselin, Pierre (2022). Data-enhancement strategies in weather-related health studies. Environmental Research and Public Health, 19 (2): Art. 906.
DOI: 10.3390/ijerph19020906

Masselot, Pierre, Chebana, Fateh, Campagna, Céline, Lavigne, Éric, Ouarda, Taha B. M. J. & Gosselin, Pierre (2022). Constrained groupwise additive index models. Biostatistics,  kxac023.
DOI: 10.1093/biostatistics/kxac023

Alobaidi, Mohannad H., Ouarda, Taha B. M. J., Marpu, Prashanth Reddy & Chebana, Fateh (2021). Diversity-driven ANN-based ensemble framework for seasonal low-flow analysis at ungauged sites. Advances in Water Resources, 147: Art. 103814.
DOI: 10.1016/j.advwatres.2020.103814

Boudreault, Jérémie, St-Hilaire, André, Chebana, Fateh & Bergeron, Normand E. (2021). Modelling fish physico-thermal habitat selection using functional regression. Journal of Ecohydraulics, 6 (2): 105-120.
DOI: 10.1080/24705357.2020.1840313

Chebana, Fateh & Ouarda, Taha B. M. J. (2021). Multivariate non-stationary hydrological frequency analysis. Journal of Hydrology, 593: Art. 125907.
DOI: 10.1016/j.jhydrol.2020.125907

Chiu, Yohann Moanahere, Chebana, Fateh, Abdous, Belkacem, Bélanger, Diane & Gosselin, Pierre (2021). Cardiovascular health peaks and meteorological conditions: A quantile regression approach. International Journal of Environmental Research and Public Health, 18 (24): Art. 13277.
DOI: 10.3390/ijerph182413277

Issa, Mahamat Abdelkerim, Chebana, Fateh, Masselot, Pierre, Campagna, Céline, Lavigne, Éric, Gosselin, Pierre & Ouarda, Taha B. M. J. (2021). A heat-health watch and warning system with extended season and evolving thresholds. BMC Public Health, 21: Art. 1479.
DOI: 10.1186/s12889-021-10982-8

Masselot, Pierre, Chebana, Fateh, Campagna, Céline, Lavigne, Éric, Ouarda, Taha B. M. J. & Gosselin, Pierre (2021). Machine learning approaches to identify thresholds in a heat-health warning system context. Journal of the Royal Statistical Society Serie A: Statistics in Society, 184 (4): 1326-1346.
DOI: 10.1111/rssa.12745

Alobaidi, Mohannad H.; Meguid, Mohamed A. & Chebana, Fateh (2020). Varying-parameter modeling within ensemble architecture: Application to extended streamflow forecasting. J. Hydrol., 582: Art. 124511.
DOI: /10.1016/j.jhydrol.2019.124511

Ben Alaya, Mohammed Ali; Ternynck, Camille S.; Dabo-Niang, Sophie; Chebana, Fateh & Ouarda, Taha B. M. J. (2020). Change point detection of flood events using a functional data framework. Adv. Water Resour., 137: Art. 103522.
DOI: 10.1016/j.advwatres.2020.103522

Karahacane, Hafsa; Meddi, Mohamed; Chebana, Fateh & Saaed, Hamoudi A. (2020). Complete multivariate flood frequency analysis, applied to northern Algeria. J. Flood Risk Manage., 13 (4): Art. e12619.
DOI: 10.1111/jfr3.12619

Serinaldi, Francesco; Chebana, Fateh & Kilsby, Chris G. (2020). Dissecting innovative trend analysis. Stoch. Environ. Res. Risk Asses., 34: 733-754.
DOI: 10.1007/s00477-020-01797-x

Yan, Bixun; Chebana, Fateh; Masselot, Pierre; Campagna, Céline; Gosselin, Pierre; Ouarda, Taha B. M. J. & Lavigne, Éric (2020). A cold-health watch and warning system, applied to the province of Quebec (Canada). Sci. Total Environ., 741: Art. 140188.
DOI: 10.1016/j.scitotenv.2020.140188

Alobaidi, Mohannad H.; Meguid, Mohamed A. & Chebana, Fateh (2019). Predicting seismic-induced liquefaction through ensemble learning frameworksScientific Reports, 9: Art. 11786.
DOI: 10.1038/s41598-019-48044-0

Ben Nasr, Imen & Chebana, Fateh (2019). Homogeneity testing of multivariate hydrological records, using multivariate copula L-momentsAdv. Water Resour., 134: Art. 103449.
DOI: 10.1016/j.advwatres.2019.103449

Ben Nasr, Imen & Chebana, Fateh (2019). Multivariate L-moment based tests for copula selection, with hydrometeorological applicationsJ. Hydrol., 579: Art. 124151.
DOI: 10.1016/j.jhydrol.2019.124151

Boudreau, Jérémie; Bergeron, Normand E.; St-Hilaire, André & Chebana, Fateh (2019). Stream temperature modeling using functional regression modelsJ. Am. Water Resour. Assoc., 55 (6): 1382-1400.
DOI: 10.1111/1752-1688.12778

Curceac, Stelian; Ternynck, Camille S.; Ouarda, Taha B. M. J.; Chebana, Fateh & Niang, Sophie Dabo (2019). Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA modelsEnviron. Model. Soft., 111 : 394-408.
DOI: 10.1016/j.envsoft.2018.09.017

Masselot, Pierre; Chebana, Fateh; Lavigne, Éric; Campagna, Céline; Gosselin, Pierre & Ouarda, Taha B. M. J. (2019). Toward an improved air pollution warning system in QuebecInt. J. Environ. Res. Public Health, 16 (12): Art. 2095.
DOI: 10.3390/ijerph16122095

Alobaidi, Mohannad H.; Chebana, Fateh & Meguid, Mohamed A. (2018). Robust ensemble learning framework for day-ahead forecasting of household based energy consumptionAppl. Ener., 212: 997-1012.
DOI: 10.1016/j.apenergy.2017.12.054

Ben Alaya, Mohammed Ali; Ouarda, Taha B. M. J. & Chebana, Fateh (2018). Non-Gaussian spatiotemporal simulation of multisite daily precipitation: downscaling frameworkClim. Dynam., 50 (1-2): 1-15.
DOI: 10.1007/s00382-017-3578-0

Chiu, Yohann; Chebana, Fateh; Abdous, Belkacem; Bélanger, Diane & Gosselin, Pierre (2018). Mortality and morbidity peaks modeling: An extreme value theory approachStat. Methods Med. Res., 27 (5): 1498-1512.
DOI: 10.1177/0962280216662494

Larabi, Samah; St-Hilaire, André & Chebana, Fateh (2018). A new Concept to calibrate and evaluate a hydrological model based on functional data analysisJ. Water Manag. Model., 26: Art. C442.
DOI: 10.14796/JWMM.C442

Larabi, Samah; St-Hilaire, André; Chebana, Fateh & Latraverse, Marco (2018). Multi-criteria process-based calibration using functional data analysis to improve hydrological model realismWater Resour. Manage., 32 (1): 195-211.
DOI: 10.1007/s11269-017-1803-6

Larabi, Samah; St-Hilaire, André; Chebana, Fateh & Latraverse, Marco (2018). Using functional data analysis to calibrate and evaluate hydrological model performanceJ. Hydrol. Eng., 23 (7): Art. 04018026.
DOI: 10.1061/(ASCE)HE.1943-5584.0001669

Larios, Araceli Dalila; Chebana, Fateh; Godbout, Stéphane; Brar, Satinder Kaur; Valera, F.; Palacios, Joahnn H.; Avalos Ramirez, Antonio; Saldoval-Salas, F.; Larouche, J. P.; Medina-Hernàndez, D. & Potvin, L. (2018). Analysis of atmospheric ammonia concentration from four sites in Quebec City region over 2010-2013Atmos. Pollut. Res., 9 (3): 476-482.
DOI: 10.1016/j.apr.2017.11.001

Masselot, Pierre; Chebana, Fateh; Bélanger, Diane; St-Hilaire, André; Abdous, Belkacem; Gosselin, Pierre & Ouarda, T. B. M. J. (2018). Aggregating the response in time series regression models, applied to weather-related cardiovascular mortalitySci. Total Environ., 628-629: 217-225.
DOI: 10.1016/j.scitotenv.2018.02.014

Masselot, Pierre; Chebana, Fateh; Ouarda, Taha B. M. J.; Bélanger, Diane; St-Hilaire, André & Gosselin, Pierre (2018). A new look at weather-related health impacts through functional regressionScientific Reports, 8: Art. 15241.
DOI: 10.1038/s41598-018-33626-1

Masselot, Pierre; Chebana, Fateh; St-Hilaire, André; Belkacem, Abdous; Gosselin, Pierre & Ouarda, Taha B. M. J. (2018). EMD-regression for modelling multi-scale relationships, and application to weather-related cardiovascular mortalitySci. Total Environ., 612 : 1018-1029.
DOI: 10.1016/j.scitotenv.2017.08.276

Ouarda, Taha B. M. J.; Charron, Christian; Hundecha, Yeshewatesfa; St-Hilaire, André & Chebana, Fateh (2018). Introduction of the GAM model for regional low-flow frequency analysis at ungauged basins and comparison with commonly used approachesEnviron. Model. Soft., 109: 256-271.
DOI: 10.1016/j.envsoft.2018.08.031

Rahman, A.; Charron, Christian; Ouarda, Taha B. M. J. & Chebana, Fateh (2018). Development of regional flood frequency analysis techniques using generalized additive models for AustraliaStoch. Environ. Res. Risk Asses., 32 (1): 123-139.
DOI: 10.1007/s00477-017-1384-1

Requena, Ana I.; Chebana, Fateh & Ouarda, Taha B. M. J. (2018). A functional framework for flow-duration-curve and daily streamflow estimation at ungauged sitesAdv. Water Resour., 113: 328-340.
DOI: 10.1016/j.advwatres.2018.01.019

Requena, Ana I.; Ouarda, Taha B. M. J. & Chebana, Fateh (2018). Low-flow frequency analysis at ungauged sites based on regionally estimated streamflowsJ. Hydrol., 563: 523-532.
DOI: 10.1016/j.jhydrol.2018.06.016

Ben Alaya, Mohammed Ali; Chebana, Fateh & Ouarda, Taha B. M. J. (2017). Multivariate missing data in hydrology – Review and applicationsAdv. Water Resour., 110: 299-309.
DOI: 10.1016/j.advwatres.2017.10.002

Benameur, Sana; Benkhaled, Abdelkader; Meraghni, Djamel; Chebana, Fateh & Necir, Abdelhakim (2017). Complete flood frequency analysis in Abiod watershed, Biskra (Algeria)Nat. Hazards, 86 (2): 519-534.
DOI: 10.1007/s11069-016-2703-4

Chebana, Fateh; Ben Aissia, M. A. & Ouarda, Taha B. M. J. (2017). Multivariate shift testing for hydrological variables, review, comparison and applicationJ. Hydrol., 548: 88-103.
DOI: 10.1016/j.jhydrol.2017.02.033

Kwak, Jaewon; St-Hilaire, André & Chebana, Fateh (2017). A comparative study for water temperature modelling in a small basin, the Fourchue River, Quebec, CanadaHydrol. Sci. J., 62 (1): 64-75.
DOI: 10.1080/02626667.2016.1174334

Kwak, Jaewon; St-Hilaire, André; Chebana, Fateh & Kim, Gilho (2017). Summer season water temperature modeling under the climate change: Case study for Fourchue River, Quebec, CanadaWater, 9 (5): Art. 346.
DOI: 10.3390/w9050346

Masselot, Pierre; Chebana, Fateh & Ouarda, Taha B. M. J. (2017). Fast and direct nonparametric procedures in the L-moment homogeneity testStoch. Environ. Res. Risk Asses., 31 (2): 509-522.
DOI: 10.1007/s00477-016-1248-0

Ouali, Dhouha; Chebana, Fateh & Ouarda, Taha B. M. J. (2017). Fully nonlinear statistical and machine learning approaches for hydrological frequency estimation at ungauged sitesJ. Adv. Model. Earth Syst., 9 (2): 1292-1306.
DOI: 10.1002/2016MS000830

Requena, Ana I.; Chebana, Fateh & Ouarda, Taha B. M. J. (2017). Heterogeneity measures in hydrological studies: review and new developmentsHydrol. Earth Syst. Sci., 21 (3): 1651-1668.
DOI: 10.5194/hess-21-1651-2017

Requena, Ana I.; Ouarda, Taha B. M. J. & Chebana, Fateh (2017). Flood frequency analysis at ungauged sites based on regionally estimated streamflowsJ. Hydrometeorol., 18 (9): 2521-2539.
DOI: 10.1175/JHM-D-16-0143.1

Vanasse, Alain; Talbot, Denis; Chebana, Fateh; Bélanger, Diane; Blais, Claudia; Gamache, Philippe; Giroux, Jean-Xavier; Dault, Roxanne & Gosselin, Pierre (2017). Effects of climate and fine particulate matter on hospitalizations and deaths for heart failure in elderly: A population-based cohort studyEnviron. Int., 106: 257-266.
DOI: 10.1016/j.envint.2017.06.001

Ben Alaya, Mohammed Ali; Chebana, Fateh & Ouarda, T. B. M. J. (2016). Multisite and multivariable statistical downscaling using a Gaussian copula quantile regression modelClim. Dynam., 47 (5-6): 1383-1397.
DOI: 10.1007/s00382-015-2908-3

Durocher, Martin; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). On the prediction of extreme flood quantiles at ungauged locations with spatial copulaJ. Hydrol., 533: 523-532.
DOI: 10.1016/j.jhydrol.2015.12.029

Durocher, Mathieu; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). Delineation of homogenous regions using hydrological variables predicted by projection pursuit regressionHydrol. Earth Syst. Sci., 20 (12): 4717-4729.
DOI: 10.5194/hess-20-4717-2016

Durocher, Mathieu; Lee, Tae Sam; Ouarda, Taha B. M. J. & Chebana, Fateh (2016). Hybrid signal detection approach for hydro-meteorological variables combining EMD and cross-wavelet analysisInt. J. Climatol., 36 (4): 1600-1613.
DOI: 10.1002/joc.4444

Genest, C. & Chebana, F. (2016). Copula modeling in hydrologic frequency analysis. In: Singh, V. P., (Ed.). Chow’s Handbook of Applied Hydrology. pp. 30.1-30.9. McGraw Hill.

Lee, Taesam; Kwon, Hyunhan; Modarres, Reza; Kim, Sangdan & Chebana, Fateh (2016). Hydrological and meteorological extreme events in Asia: Understanding, modeling, vulnerability, and adaptation measuresAdv. Meteorol., 2016: Art. 2325384.
DOI: 10.1155/2016/2325384

Masselot, Pierre; Dabo-Niang, Sophie; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). Streamflow forecasting using functional regressionJ. Hydrol., 538: 754-766.
DOI: 10.1016/j.jhydrol.2016.04.048

Ouali, Dhouha; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). Quantile regression in regional frequency analysis: a better exploitation of the available informationJ. Hydrometeorol., 17 (6): 1869-1883.
DOI: 10.1175/JHM-D-15-0187.1

Ouali, Dhouha; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). Non-linear canonical correlation analysis in regional frequency analysisStoch. Environ. Res. Risk Asses., 30 (2): 449-462.
DOI: 10.1007/s00477-015-1092-7

Ouarda, Taha B. M. J.; Charron, Christian & Chebana, Fateh (2016). Review of criteria for the selection of probability distributions for wind speed data and introduction of the moment and L-moment ratio diagram methods, with a case studyEnerg. Convers. Manage., 124: 247-265.
DOI: 10.1016/j.enconman.2016.07.012

Ouarda, Taha B. M. J.; Charron, Christian; Marpu, Prashanth R. & Chebana, Fateh (2016). The generalized additive model for the assessment of the direct, diffuse, and global solar irradiances using SEVIRI images, with application to the UAEIEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 9 (4): 1553-1566.
DOI: 10.1109/JSTARS.2016.2522764

Requena, Ana I.; Chebana, Fateh & Mediero, Luis (2016). A complete procedure for multivariate index-flood model applicationJ. Hydrol., 535: 559-580.
DOI: 10.1016/j.jhydrol.2016.02.004

Singh, Shailesh Kumar; McMillan, Hilary; Bárdossy, András & Chebana, Fateh (2016). Nonparametric catchment clustering using the data depth functionHydrol. Sci. J., 61 (15): 2649-2667.
DOI: 10.1080/02626667.2016.1168927

Ternynck, Camille S.; Ben Alaya, Mohammed Ali; Chebana, Fateh; Dabo-Niang, Sophie & Ouarda, Taha B. M. J. (2016). Streamflow hydrograph classification using functional data analysisJ. Hydrometeorol., 17 : 327-344.
DOI: 10.1175/JHM-D-14-0200.1

Vanasse, Alain; Cohen, Alan; Courteau, Josiane; Bergeron, Patrick; Dault, Roxanne; Gosselin, Pierre; Blais, Claudia; Bélanger, Diane; Rochette, Louis & Chebana, Fateh (2016). Association between floods and acute cardiovascular diseases: a population-based cohort study using a geographic information system approachInt. J. Environ. Res. Public Health, 13 (2): Art. 168.
DOI: 10.3390/ijerph13020168

Wazneh, Hussein; Chebana, Fateh & Ouarda, Taha B. M. J. (2016). Identification of hydrological neighborhoods for regional flood frequency analysis using statistical depth functioAdv. Water Resour., 94: 251-263.
DOI: 10.1016/j.advwatres.2016.05.013

Alobaidi, M. H.; Marpu, P. R.; Ouarda, T. B. M. J. & Chebana, F. (2015). Regional frequency analysis at ungauged sites using a two-stage resampling generalized ensemble frameworkAdv. Water Resour., 84: 103-111.
DOI: 10.1016/j.advwatres.2015.07.019

Ben Aissia, M. A.; Chebana, F.; Ouarda, T. B. M. J.; Bruneau, P. & Barbet, M. (2015). Bivariate index-flood model for a northern case study / Analyse fréquentielle bivariée basée sur l’indice de crue-cas d’étude au Québec, CanadaHydrol. Sci. J., 60 (2): 247-268.
DOI: 10.1080/02626667.2013.875177

Ben Alaya, M. A.; Chebana, F. & Ouarda, T. B. M. J. (2015). Probabilistic multisite statistical downscaling for daily precipitation using a bernoulli-generalized pareto multivariate autoregressive modelJ. Climate, 28 (6): 2349-2364.
DOI: 10.1175/JCLI-D-14-00237.1

Brahimi, B.; Chebana, F. & Necir, A. (2015). Copula representation of bivariate L-moments: a new estimation method for multiparameter two-dimensional copula modelsStatistics, 49 (3): 497-521.
DOI: 10.1080/02331888.2014.932792

Durocher, M.; Chebana, F. & Ouarda, T. B. M. J. (2015). A nonlinear approach to regional flood frequency analysis using projection pursuit regressionJ. Hydrometeorol., 16 (4): 1561-1574.
DOI: 10.1175/JHM-D-14-0227.1

Wazneh, H.; Chebana, F. & Ouarda, T. B. M. J. (2015). Delineation of homogeneous regions for regional frequency analysis using statistical depth functionJ. Hydrol., 521: 232-244.
DOI: 10.1016/j.jhydrol.2014.11.068