Amin A. Elshorbagy

     Amin A. Elshorbagy  B.Sc., M.Sc., Ph.D.

    Professor of Civil and Geological Engineering

    Biography

    Education and Experience

    B.Sc.(Ain Shams, Egypt), M.Sc.(ITC, Holland), Ph.D.(Man., Canada) 

    Specialization: Water Resources Engineering: Hydrinformatics (mechanistic & data-driven watershed modeling, sfot-computing techniques; multicriterion decision analysis, system dynamics)

    Current and Past Projects

    1. Modeling of Hydrological Processes Using Pattern Recognition and Soft-Computing Techniques.
    2. Performance Assessment and Hydrologic Modeling of reconstructed watersheds and reclamation strategis.
    3. An integrated Salt/Water Balance Model for Sodic/Saline Overburden from Oilsands Mining. â?? Collaborative Research and Development Grants (NSERC-Syncrude Canada Ltd.).
    4. Surface Water Quality Management in the Nile Delta ( Egypt) Using the Total Maximum Daily Loads (TMDLs) Approach.
    5. Multi-Criterion Decision Analysis (MCDA) & Value of Data and Models in Hydrology.

    Publications

    Refereed Journal Publications
    • Keshta, N., Elshorbagy, A.A. and Carey, S. (2012). Impacts of Climate Change on Soil Moisture and Evapotranspiration in Reconstructed Watersheds in northern Alberta, Canada, Hydrological Processes, 26(9), 1321-1331.
    • Huang, M., Zettl, J., Barbour, S., Elshorbagy, A.A. and Si, B.C. (2012). The impact of soil moisture availability on forest growth indices for variably layered coarse-textured soils, Ecohydrology, John Wiley and Sons, 1(March - published online), 999-999.
    • Nazemi, A. and Elshorbagy, A.A. (2012). Application of Copula Modelling to the Performance Assessment of Reconstructed Watersheds, Stochastic Environmental Research & Risk Assessment, 26(2), 189-205.
    • Huang, M., Barbour, S., Elshorbagy, A.A., Zettl, J.D. and Si, B. (2011). Infiltration and drainage processes in multi-layered coarse soils, Canadian Journal of Soil Science., 91, 169-183.
    • Huang, M., Elshorbagy, A.A., Barbour, S., Zettl, J. and Si, B. (2011). System dynamics modeling of infiltration and drainage in layered coarse soil, Canadian Journal of Soil Science, 91, 185-197.
    • Huang, M., Barbour, S., Elshorbagy, A.A., Zettl, J. and Si, B. (2011). Water availability and forest growth in coarse-textured soils, Canadian Journal of Soil Science, 91, 199-210.
    • Keshta, N. and Elshorbagy, A.A. (2011). Utilizing North American Regional Reanalysis for Modeling Soil Moisture and Evapotranspiration in Reconstructed Watersheds, Physics and Chemistry of the Earth, 36, 31-41.
    • Hossain, M., Elmoselhi, H., Elshorbagy, A.A. and Shoker, A. (2011). Sask Formula to Estimate Glomerular Filtration Rate in Renal Transplant Patients., Nephron, Clinical Practice, 117, 135-150.
    • Izadifar, Z. and Elshorbagy, A.A. (2010). Prediction of hourly actual evapotranspiration using neural networks, genetic programming, and statistical models, Hydrological Processes, 24(23), 3413-3425. Available online at: www3.interscience.wiley.com
    • Elshorbagy, A.A., Corzo, G., Srinivasulu, S. and Solomatine, D. (2010). Experimental investigation of the predictive capabilities of soft computing techniques in hydrology- Part I: Concepts and methodology, Hydrology and Earth System Sciences, 14, 1931-1941.
    • Elshorbagy, A.A., Corzo, G., Srinivasulu, S. and Solomatine, D. (2010). Experimental Investigation of the Predictive Capabilities of Data Driven Modeling Techniques in Hydrology: II. Application., Hydrology and Earth System Sciences, 14, 1943-1961.
    • El-Baroudy, I., Elshorbagy, A.A., Carey, S., Giustolisi, O. and Savic, D. (2010). Comparison of Three Data-driven Techniques in Modelling Evapotranspiration Process., Hydroinformatics, 12(4), 365-379.
    • Keshta, N., Elshorbagy, A.A. and Barbour, S. (2010). Comparative Probabilistic Assessment of the Hydrological Performance of Reconstructed and Natural Watersheds, Hydrological Processes, 24(10), 1333-1342.
    • Keshta, N., Elshorbagy, A.A. and Carey, S. (2009). A Generic System Dynamics Model For Simulating and Evaluating the Hydrological Performance of Reconstructed Watersheds, Hydrology and Earth System Sciences, 13(6), 865-881.
    • Elshorbagy, A.A. and El-Baroudy, I. (2009). Investigating the Capabilities of Evolutionary Data-Driven Techniques Using the Challenging Estimation of soil Moisture Content, Journal of Hydroinformatics, 11(3-4), 237-251.
    • Parasuraman, K. and Elshorbagy, A.A. (2008). Towards improving the reliability of hydrologic prediction: Model structure uncertainty and its quantification using ensemble-based genetic programming framework, Water Resources Research, 44(W12406, doi:10.1029/2007WR006451.), 1-12.
    • Elshorbagy, A.A. and Parasuraman, K. (2008). On the Relevance of Using Artificial Neural Networks For Estimating Soil Moisture Content., Journal of Hydrology, 362(1-2), 1-18.
    • Elshorbagy, A.A. (2008). Accuracy and Uncertainty: A False Dichotomy in Engineering Education. A Case Study From Civil Engineering, International Journal of Engineering Education, 24(1), 137-143.
    • Elshorbagy, A.A. and Barbour, S.L. (2007). Probabilistic approach for design and hydrologic performance assessment of reconstructed watersheds., J. Geotech and Geoenvir. Engineering, 133(9), 1110-1118.
    • Elshorbagy, A.A., Parasuraman, K., Putz, G. and Ormsbee, L. (2007). Deterministic and Probabilistic Approaches to the Development of pH Total Maximum Daily Loads: A Comparative Analysis, Journal of Hydroinformatics, 9(3), 203-213.
    • Parasuraman, K., Elshorbagy, A.A. and Carey, S. (2007). Modeling the Dynamics of Evapotranspiration process Using Genetic Programming, Hydrological Sciences Journal, 52(3), 563-578.
    • Elshorbagy, A.A., Jutla, A. and Kells, J.A. (2007). Simulation of the Hydrological Processes on Reconstructed Watersheds Using System Dynamics, Hydrological Sciences Journal, 52(3), 538-562.
    • Parasuraman, K., Elshorbagy, A.A. and Si, B. (2007). Estimating saturated hydraulic conductivity using genetic programming, Soil Science Society of Americal Journal, 71(5), 1676-1684.
    • Elshorbagy, A.A. and Barbour, S. (2007). Probabilistic approach for design and hydrologic performance assessment of reconstructed watersheds., ASCE Journal of Geotechnical and Geoenvironmental Engineering, 133(9), 1110-1118.
    • Parasuraman, K. and Elshorbagy, A.A. (2007). Cluster-Based Hydrologic Prediction Using Genetic Algorithm-Trained Neural Networks, Journal of Hydrologic Engineering, ASCE, 12(1), 52-62.
    • Parasuraman, K., Elshorbagy, A.A. and Si, B. (2006). Estimating saturated hydraulic conductivity in spatially-variable fields using neural network ensembles, Soil Science Society of America Journal, 70, 1851-1859.
    • Elshorbagy, A.A. (2006). Multicriterion decision analysis approach to assess the utility of watershed modeling for management decisions, Water Resources Research, 42(W09407), 1-14.
    • Parasuraman, K., Elshorbagy, A. and Carey, S. (2006). Spiking modular neural networks for hydrological processes, Water Resources Research, 42(May), 1-14.
    • Elshorbagy, A. and Ormsbee, L. (2006). Object-oriented modeling approach to surface water quality management, Environmental Modelling & Software, 21, 689-698.
    • Elshorbagy, A., Teegavarapu, R. and Ormsbee, L. (2006). Assessment of pathogen pollution in watersheds using object-oriented modeling and probabilistic analysis, Journal of Hydroinformatics, 8(1), 51-63.
    • Elshorbagy, A., Teegavarapu, R. and Ormsbee, L. (2005). Framework for assessment of relative pollutant loads in streams with limited data, Water International, 30(4), 477-486.
    • Elshorbagy, A. (2005). Learner-centered approach to teaching watershed hydrology using system dynamics, The International Journal of Engineering Education, 21(6), 1203-1213.
    Refereed Conference Proceedings
    • El-Baroudy, I. and Elshorbagy, A.A. (2009). Utility of the Wavelet Analysis in Assessing the Performance of Different Soil Moisture Models, The 8th International Conference on Hydroinformatics, Concepcion, Chile, Jan 11-16, Paper No. paper conf188a11, (10 pages) (CD Rom).
    • Keshta, N. and Elshorbagy, A.A. (2009). Probabilistic Assessment of the Hydrologic Performance of Reconstructed Watersheds, The 8th International Conference on Hydroinformatics, Concepcion, Chile, Jan 11-16, Paper No. paper conf188a14, (10 pages) (CD Rom).
    • Elshorbagy, A.A. (2007). Can We Rely on Hydrologic Models to Make the Right Decision? An MCDA Approach?, Proc. 32nd IAHR Congress., Venice, Italy, July 1 - 6, Paper No. B2.d-069-O, (10 pages).
    • Elshorbagy, A.A. (2006). Uncertainty Analysis in Engineering Education: Bridging the Gap Between Theory and Practice, The 7th International Conference on Hydroinformatics, Nice, France, September 4-8, 3127-3134.
    • Parasuraman, K., Elshorbagy, A.A. and Carey, S. (2006). Genetic Programming as a Model Induction Engine for Characterizing The Evapotranspiration Process, The 7th International Conference on Hydroinformatics, Nice, France, September 4-8, 815-822.
    • Elshorbagy, A.A. and Barbour, S.L. (2006). Probabilistic Assessment of the Sustainability of Restored Watersheds, The 7th International Conference on Hydroinformatics, Nice, France, September 4-8, 3039-3046.
    • Kelln, C., Barbour, L., Elshorbagy, A. and Qualizza, C. (2006). Long-term Performance of a Reclamation Cover: the Evolution of Hydraulic Properties and Hydrologic Response, The Fourth International Conference on Unsaturated Soils, Carefree, AZ, U.S.A., April 2-6, (10 pages) (CD Rom).
    • Parasuraman, K. and Elshorbagy, A. (2005). Wavelet Networks: An Alternative to Neural Networks., International Joint Conference on Neural Networks, Montreal, QC, Canada, July 31-August 4, Paper No. IEEE Catalog Number: 05CH37662C, 2674-2679 (CD Rom).
    Non-refereed Conference Proceedings
    • Hassanzadeh, E., Nazemi, A. and Elshorbagy, A.A. (2012). A Framework For Downscaling extreme Rainfall Quantiles Using Genetic Programming, The 10th International Conference on Hydroinformatics, Hamburg, Germany, July 14-18, Paper No. HYA00134-00231, 8 pp. (CD Rom). (Accepted)
    • Nazemi, A., Wheater, H. and Elshorbagy, A.A. (2012). A Novel Approach to Vulnerability Assessment of Water Resources Systems: Preliminary Results For Southern Alberta, Canada, The 10th International Conference on Hydroinformatics, Hamburg, Germany, July 14-18, Paper No. HYA00134-00232, 8 pp. (CD Rom). (Accepted)
    • Nazemi, A., Elshorbagy, A.A. and Pingale, S. (2011). Uncertainties in the estimation of future annual extreme daily rainfall for the city of Saskatoon under climate change effects, 20th Canadian Hydrotechnical Conference, Ottawa, On, Canada, June 14-17, Paper No. HY-039, (10 pages) (CD Rom).
    • Keshta, N. and Elshorbagy, A.A. (2009). A comparative Application of SWAT and a System Dynamics Watershed Model Using a Lumped Set of Data, Proc. the 33rd IAHR Congress, Vancouver, BC, Canada, Aug 9 -14, Paper No. 11420, (CD Rom).
    • Izadifar, Z. and Elshorbagy, A.A. (2009). Comparative Analysis of Two Different Techniques for Estimation of Hourly Actual Evapotranspiration, Proc. the 33rd IAHR Congress, Vancouver, BC, Canada, Aug 9 -14, Paper No. 10741, (CD Rom).
    • Bachu, L. and Elshorbagy, A.A. (2007). Data-driven Approach for Assessing the Hydrological Performance of Reconstructed Watersheds, Proc. 18th Canadian Hydrotech. Conf., Winnipeg, MB, Canada, August 22-24, Paper No. GC-054, (10 pages).
    • Elshorbagy, A. (2005). Predicting the Uncertainty of Watershed Models Using a Simple Bayesian Approach., 17th Canadian Hydrotechnical Conference, Edmonton, AB, Canada, August 17-19, (10 pages) (CD Rom).
    • Jutla, A., Elshorbagy, A. and Kells, J. (2005). Beyond rainfall runoff modeling: Hydraulic simulation of a reconstructed watershed using system dynamics, 17th Canadian Hydrotechnical Conference, Edmonton, AB, August 17-19, (10 pages) (CD Rom).
    Conference Presentations / Poster Presentations
    • Mekonnen, B., Nazemi, A., Elshorbagy, A.A., Mazurek, K.A. and Putz, G. (2012). Hybrid modeling approach to Prairie hydrology: Fusing data driven and process-based hydrological models, General Assembly of the European Geosciences Union, Vienna, Austria, April 22-27, Paper No. EGU2012-6562.
    • Elshorbagy, A.A., Mekonnen, B.A., Nazemi, A., Putz, G. and Mazurek, K.A. (2012). Hybrid modeling approach to Prairie hydrology: Fusing data driven and process-based hydrological models, General Assembly of the European Geosciences Union, Vienna, Austria, April 22-27, Paper No. (missed submitting in 2011-2012).
    • Nazemi, A. and Elshorbagy, A.A. (2010). Automatic Calibration of Hydrological Models in the Newly Reconstructed Catchments: Issues, Methods and Uncertainties, EGU General Assembly 2010, Vienna, Austria, May 2-7, Paper No. 2253 (poster).
    • Keshta, N. and Elshorbagy, A.A. (2010). Use of the North American Regional Reanalysis Data for Hydrological Modeling in Reconstructed Watersheds, EGU General Assembly 2010, Vienna, Austria, May 2-7, Paper No. 2255 (poster).
    • Elshorbagy, A.A. and Izadifar, Z. (2010). Optimum Input Selection For Data Driven Modeling. Mirage or Reality?, EGU General Assembly 2010, Vienna, Austria, May 2-7, Paper No. 2543 (Oral).
    • Huang, M., Barbour, S., Elshorbagy, A.A., Si, B. and Zettl, J. (2010). Responses of plant available water and forest productivity to variably layered coarse textured soils, General Assembly of the European Geosciences Union, Vienna, Austria, May 2-7, Paper No. EGU2010-2868 (poster).
    • Huang, M., Barbour, S., Elshorbagy, A.A., Si, B. and Zettl, J. (2010). Responses of plant available water and forest productivity to variably layered coarse textured soils, EGU General Assembly 2010, Vienna, Austria, May 2-7, Paper No. 2868.
    • Elshorbagy, A.A., Corzo, G., Srinivasulu, S. and Solomatine, D. (2009). Data driven techniques scrutinized: is there one better than the rest?, General Assembly of the European Geosciences Union, Vienna, Austria, Apri 19-24, Paper No. Oral presentation EGU2009-4282.
    • Srinivasulu, S., Elshorbagy, A.A. and Keshta, N. (2009). Integration of system theoretic and system dynamics modeling techniques for prediction of soil moisture, General Assembly of the European Geosciences Union, Vienna, Austria, Apri 19-24, Paper No. Oral presentation EGU2008-2659.
    • Bachu, L., Elshorbagy, A.A., Carey, S.K. and Barr, A. (2008). Evaluation of Comparative Hydrological Sustainability of Reconstructed and Natural Watersheds, General Assembly of the European Geosciences Union, Vienna, Austria, April 13-18, Paper No. poster EGU2008-A-02900.
    • Keshta, N., Elshorbagy, A.A. and El-Baroudy, I. (2008). Developing a Generic System Dynamics Watershed (GSDW) Model to Assess the Hydrologic Performance of Reconstructed and Natural Watersheds, General Assembly of the European Geosciences Union, Vienna, Austria, April 13-18, Paper No. (poster EGU2008-A-01513).
    • El-Baroudy, I., Elshorbagy, A.A., Carey, S.K., Guistolisi, O. and Savic, D. (2008). Predictive Data-driven Models of the Evapotranspiration Process, General Assembly of the European Geosciences Union, Vienna, Austria,, April 13-18, Paper No. (Oral presentation EGU2008-A-01512).
    • Bachu, L. and Elshorbagy, A.A. (2007). Comparison Between Mechanistic and Data Driven Approaches in Assessing the Hydrologic Performance of Reconstructed Watersheds, Canadian Water Resources Association Conference, Saskatoon, SK, Canada, June 25-28.
    • Parasuraman, K. and Elshorbagy, A.A. (2007). Model structure uncertainty and its significance in improving the reliability of hydrological models for reconstructed watersheds, Canadian Water Resources Association Conference, Saskatoon, SK, Canada, June 25-28.
    • Parasuraman, K. and Elshorbagy, A.A. (2007). Model structure uncertainty in characterizing hydrological processes and its quantification using genetic-programming, General Assembly of the European Geosciences Union, Vienna, Austria, April 15-20, Paper No. HS46-1TU3O-001.
    • Parasuraman, K., Elshorbagy, A.A., Bachu, L. and Keshta, N. (2007). Evaluating the Performance of Neural Networks in Modeling Soil Moisture, General Assembly of the European Geosciences Union, Vienna, Austria, April 15-20, Paper No. poster A0265.
    • Parasuraman, K., Elshorbagy, A. and Si, B. (2006). Estimating Saturated Hydraulic Conductivity in Spatially-Variable Fields Using Neural Network Ensembles, General Assembly of the European Geoscience Union, Vienna, Austria, April 2-7.
    • Elshorbagy, A. and Jutla, A. (2006). Hydrological Modeling of Reconstructed Watersheds Using System Dynamics, General Assembly of the European Geoscience Union, Vienna, Austria, April 2-7.
    Invited Lecture/Talk
    • Elshorbagy, A.A. (Invited) (2007). Neural networks in hydrology: data mining for learning or modeling for prediction?, International Workshop on Advances in Hydroinformatics, Niagara Falls, ON, Canada, June 4-7.
    • Elshorbagy, A.A. (Invited) (2007). Risk-Based Assessment of the Hydrologic Performance of Soil Covers, Reclamation Working Group (RWG) 2007 Symposium, Edmonton, Alberta, May 2-3.
    Published Book Chapter
    • Elshorbagy, A.A. and Parasuraman, K. (2008). Toward Bridging the Gap Between Data-driven and Mechanistic Models: Cluster-based Neural Networks for Hydrologic Processes., 28, Practical Hydroinformatics: computational intelligence and technological developments in water applications, Edited by Abrahart, R., See, L., and Solomatine, D., Springer-Verlag, Berlin Heidelberg, Germany, 389-403.
    • Elshorbagy, A.A. and Parasuraman, K. (2008). Toward Bridging the Gap Between Data-driven and Mechanistic Models: Cluster-based Neural Networks for Hydrologic Processes, Chapter 28, Hydroinformatics in practice: computational intelligence and technological developments in water applications, Edited by Abrahart, R., See, L., and Solomatine, D., Springer-Verlag, Berlin Heidelberg, 391-405.
    • Elshorbagy, A.A., Barbour, S.L. and Qualizza, C. (2007). Chapter 14. Multi-Criterion Decision Making Approach to Assess the Performance of Reconstructed Watersheds, Chapter 14 Topics on System Analysis and Integrated Water Resources Management, Edited by Andrea Castelletti (Editor), Rodolfo Soncini-Sessa (Editor), Elsevier, Amsterdam, 257-269.
    Published Book
    • Izadifar, Z. and Elshorbagy, A.A. (2010). Modeling and Analysis of Actual Evapotranspiration. Data Driven Modeling and Wavelet Analysis of Actual Evapotranspiration, VDM Verlag Dr. Muller, Saarbrucken, Germany, (145 pages).
    • Jutla, A., Elshorbagy, A.A. and Kells, J.A. (2009). System Dynamics Watershed Model. Hydrologic Assessment of Reconstructed Watersheds, VDM Verlag Dr. Muller, Saarbrucken, Germany, (140 pages).
    • Bachu, L. and Elshorbagy, A.A. (2009). Hydrology of Reconstructed and Natural Watersheds. Modeling Based Comparative Analysis of Hydrological Performance, VDM Verlag Dr. Muller, Saarbrucken, Germany, (118 pages).

    Research Grants

    2011-2012

    • Principal Investigator, Analyzing the variation in (IDF) curves in the City of Saskatoon under non-stationary climatic conditions, City of Saskatoon, City Research Grant.
    • Principal Investigator, Modeling the hydrological processes using hybrid modeling approach, NSERC, Discovery Grant.

    2010-2011

    • Principal Investigator, Modeling the hydrological processes using hybrid modeling approach, NSERC, Discovery Grant.

    2009-2010

    • Principal Investigator, Modeling the hydrological processes using hybrid modeling approach, NSERC, Discovery Grant.
    • Principal Investigator, Probabilistic approach toward assessing the hydrological sustainability of reclamation strategies, NSERC, CRD Program.

    2008-2009

    • Principal Investigator, Modeling the hydrological processes using hybrid modeling approach, NSERC, Discovery Grant.
    • Principal Investigator, Probabilistic approach toward assessing the hydrological sustainability of reclamation strategies, NSERC, CRD Program.
    • Principal Investigator, Risk-based assessment of the sustainability of reclamation strategy, CEMA, Industry contract (grant-in-aid).

    2007-2008

    • Principal Investigator, Modeling hydrological data using the theory of precedents, NSERC, Discovery Grant.
    • Principal Investigator, Probabilistic approach toward assessing the hydrological sustainability of reclamation strategies, NSERC, CRD Program.
    • Principal Investigator, Risk-based assessment of the sustainability of reclamation strategy, CEMA, Industry contract (grant-in-aid).

    Teaching

    2011-2012

    • CE295.3 - Project 1
    • CE319.3 - Hydrology
    • CE464.3 - Water Resources Engineering
    • CE840.3 - Surface Hydrology

    2010-2011

    • CE295.3 - Project 1
    • CE319.3 - Hydrology
    • CE464.3 - Water Resources Engineering

    2009-2010

    • CE295.3 - Project 1
    • CE319.3 - Hydrology
    • CE464.3 - Water Resources Engineering
    • CE840.3 - Hydrologic Prediction and Simulation

    2008-2009

    • CE840.3 - Hydrologic Prediction and Simulation

    2007-2008

    • CE295.3 - Project 1
    • CE319.3 - Hydrology
    • CE464.3 - Water Resources Engineering

    Research Projects

    2011-2012

    • Impacts of climate change on the IDF curves for the design of retention ponds
    • Modeling of the water resources system in the Saskatchewan River Basin
    • Modeling the hydrological processes using hybrid modeling approach

    2010-2011

    • Impacts of climate change on the IDF curves for the design of retention ponds
    • Impacts of climate change on water resources in the Saskatchewan River Basin
    • Modeling the hydrological processes using hybrid modeling approach
    • Performance Assessment and Hydrologic Modeling of reconstructed watersheds and reclamation strategis.

    2009-2010

    • Collaborative use of a unique data set: Artificial Experimental Catchment Chicken Creek, Cottbus, Germany
    • Modeling the hydrological processes using hybrid modeling approach
    • Performance Assessment and Hydrologic Modeling of reconstructed watersheds and reclamation strategis.
    • Risk-based Assessment of the Sustainability of Reclamation Strategy

    2008-2009

    • Collaborative use of a unique data set: Artificial Experimental Catchment Chicken Creek, Cottbus, Germany
    • Modeling the hydrological processes using hybrid modeling approach
    • Multi-Criterion Decision Analysis (MCDA) & Value of Data and Models in Hydrology.
    • Performance Assessment and Hydrologic Modeling of reconstructed watersheds and reclamation strategis.
    • Risk-based Assessment of the Sustainability of Reclamation Strategy

    2007-2008

    • Modeling of Hydrological Processes Using Pattern Recognition and Soft-Computing Techniques.
    • Multi-Criterion Decision Analysis (MCDA) & Value of Data and Models in Hydrology.
    • Performance Assessment and Hydrologic Modeling of reconstructed watersheds and reclamation strategis.
    • Risk-based Assessment of the Sustainability of Reclamation Strategy