Publications

The names of my students are underlined.

Refereed Book Chapters

[1] Elshorbagy, A. and Parasuraman, K. 2008. Chapter 28: Toward Bridging the Gap Between Data-driven and Mechanistic Models: Cluster-based Neural Networks for Hydrologic Processes. In: Abrahart, R., See, L., and Solomatine, D. (Eds.), Practical Hydroinformatics: computational intelligence and technological developments in water applications, Springer-Verlag, Berlin Heidelberg, 391-405 (invited, to be published October 4, 2008).

[2] Elshorbagy, A., Barbour, L. and Qualizza, C. 2006. Chapter 14: Multi-criterion Decision Making Approach to Assess the Performance of Reconstructed Watersheds. In A. Castelletti and R. S. Sessa (Eds.), Topics on System Analysis and Integrated Water Resource Management (IWRM), Elsevier, The Netherlands, 257-269.

[3] Panu, U. S. , Khalil, M. and Elshorbagy, A. 2000. Chapter 12: Streamflow Data Infilling Techniques Based on Concepts of Groups and Neural Networks. In R. S. Govindaraju and R. Rao (Eds.), Artificial neural networks in hydrology, Kluwer Academic, The Netherlands, 235-258 (invited).

 

Refereed Journal Articles

[4] Elshorbagy, 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.

[5] Parasuraman, K., Elshorbagy, A., and Si, B. 2007. Estimating Saturated Hydraulic Conductivity Using Genetic Programming. Soil Science Society of America Journal, 71(5): 1676-1684. GP-Hyd Conductivity

[6] Parasuraman, K., Elshorbagy, A. and Carey, S. 2007. Modeling the Dynamics of Evapotranspiration process Using Genetic Programming. Hydrological Sciences Journal, 52(3): 563-578.

[7] Elshorbagy, A., Jutla, A. and Kells, J. 2007. Simulation of the Hydrological Processes on Reconstructed Watersheds Using System Dynamics. Hydrological Sciences Journal, 52(3): 538-562.

[8] Elshorbagy, A. and Barbour S. L. 2007. A Probabilistic Approach for Design and Hydrologic Performance Assessment of Reconstructed Watersheds. Journal of Geotechnical & Geoenvironmental Engineering, ASCE, 133(9): 1110-1118. Probabilistic soil moisture.

[9] Elshorbagy, A. 2006. Multi-criterion Decision Analysis Approach to Assess the Utility of Watershed Modeling for Management Decisions. Water Resources Research, 42, W09407, doi:10.1029/2005WR004264. MCDA.

[10] Elshorbagy, 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.

[11] Parasuraman, K., Elshorbagy, 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. ANN Ensemble

[12] Parasuraman, K., and Elshorbagy, A. 2007. Cluster-Based Hydrologic Prediction Using Genetic Algorithm-Trained Neural Networks. Journal of Hydrologic Engineering, ASCE, 12(1): 52 - 62.

[13] Parasuraman, K., Elshorbagy, A., and Carey, S.K. 2006. Spiking-Modular Neural Networks: A Neural Network Modeling Approach for Hydrological Processes. Water Resources Research, 42, W05412, doi:10.1029/2005WR004317. SMNNs

[14] Elshorbagy, A., Teegavarapu, R., Ormsbee, L. 2006. Assessment of Pathogen Pollution in Watersheds Using Object-Oriented Modeling and Probabilistic Analysis. Journal of Hydroinformatics, 8(1): 51-63.

[15] Elshorbagy, A., Ormsbee, L. 2006. Object-oriented Modeling Approach to Surface Water Quality Management. Environmental Modeling and Software, 21(5): 689-698. SD-WQ

[16] Elshorbagy, A. 2005. Learner-centered Approach to Teaching Watershed Hydrology Using System Dynamics. International Journal of Engineering Education, 21(6): 1203-1213. Teaching Hydrology using SD

[17] Elshorbagy, A., Jutla, A., Barbour, L., Kells, J. 2005. System Dynamics Approach to Assess the Sustainability of Reclamation of Disturbed Watersheds. Canadian Journal of Civil Engineering, 32(1): 144-158. SD reconstructed

[18] Elshorbagy, A., Teegavarapu, R. and Ormsbee, L. 2005. Total Maximum Daily Load (TMDL) Approach to Surface Water Quality Management: Concepts, Issues and Applications. Canadian Journal of Civil Engineering, 32(2): 442-448.

[19] Teegavarapu, R. Elshorbagy, A. 2005. Fuzzy Set Based Error Measure for Hydrologic Model Evaluation. Journal of Hydroinformatics, 7(3): 199-208.

[20] 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.

[21] Ormsbee, L., Elshorbagy, A. and Zechman, E. 2004. A Methodology for pH TMDLs: Application to Beech Creek Watershed. Journal of Environmental Engineering, ASCE, 130(2): 167-174. pH TMDL.

[22] Elshorbagy, A., Panu , U.S. and Simonovic, S.P. 2002. Reply to the Comment on: "Analysis of Cross-correlated Chaotic Streamflows" by Elshorbagy, A., Panu , U.S. and Simonovic, S.P., Hydrological Sciences Journal, 47(3): 529-532. [Discussion paper]

[23] Elshorbagy, A., Simonovic, S. P. and Panu , U. S. 2002. Noise Reduction in Chaotic Hydrologic Time Series: Facts and Doubts. Journal of Hydrology, 256(3-4): 147-165.

[24] Elshorbagy, A., Simonovic, S. P. and Panu , U. S. 2002. Estimation of Missing Streamflow Data Using Principles of Chaos Theory. Journal of Hydrology, 255(1-4): 123-133.

[25] Elshorbagy, A. and Schönwetter, D. 2002. Engineer Morphing: Bridging the Gap Between Classroom Teaching and the Engineering Profession. International Journal of Engineering Education, 18(3): 295-300. Engineer Morphing

[26] Elshorbagy, A., Panu , U.S. and Simonovic, S.P. 2001. Analysis of Cross-correlated Chaotic Streamflows. Hydrological Sciences Journal, 46(5): 781-794.

[27] Elshorbagy, A., 2001. Noise Reduction Approach in Chaotic Hydrologic Time Series Revisited. Canadian Water Resources Journal, 26 (4): 537-550.

[28] Elshorbagy, A., Panu , U. S. and Simonovic, S. P. 2000. Group-based Estimation of Missing Hydrological Data. I. Approach and General Methodology. Hydrological Sciences Journal , 45(6): 849-866.

[29] Elshorbagy, A., Panu , U. S. and Simonovic, S. P. 2000. Group-based Estimation of Missing Hydrological Data. II. Application to Streamflows. Hydrological Sciences Journal, 45(6): 867-880.

[30] Elshorbagy, A., Simonovic, S. P. and Panu , U. S. 2000. Performance Evaluation of Artificial Neural Networks for Runoff Prediction. Journal of Hydrologic Engineering, ASCE, 5(4): 424-427.

[31] Simonovic, S. P., Fahmy, H. and Elshorbagy, A. 1997. The Use of Object-oriented Modeling for Water Resources Planning in Egypt . Water Resources Management, 11: 243-261.

[32] Fahmy, H., Elshorbagy, A. and Tawfik, M. 1995. A Multicriterion Approach for Equitable Utilization of International River Basins. Water Sciences Journal, NWRC, Egypt , 18: 43-51.

 

Conference Proceedings and Presentations

[33] El-Baroudy, I., Elshorbagy, A., Carey, S., 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 (Oral presentation EGU2008-A-01512).

[34] Keshta, N., Elshorbagy, 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 (poster EGU2008-A-01513).

[35] Bachu, L., Elshorbagy, A., Carey, S. 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 (poster EGU2008-A-02900).

[36] Bachu, L. and Elshorbagy, A. 2007. Data-driven Approach for Assessing the Hydrological Performance of Reconstructed Watersheds. Proc. 18^th Canad. Hydrotech. Conf., Winnipeg, MB, Canada, August 22-24, 10 pp. (Paper GC-054).

[37] Elshorbagy, A. 2007. Can We Rely on Hydrologic Models to Make the Right Decision? An MCDA Approach. Proc. 32^nd IAHR Congress., Venice, Italy, July 1-6, 10 pp. (Paper B2.d-069-O).

[38] Elshorbagy, A. and Parasuraman, K. 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.

[39] 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.

[40] 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.

[41] Parasuraman, K. and Elshorbagy, 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 (Abstract & oral presentation, HS46-1TU3O-001).

[42] Parasuraman, K., Elshorbagy, 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 (poster A0265).

[43] Elshorbagy, A. 2006. Uncertainty Analysis in Engineering Education: Bridging the Gap Between Theory and Practice. Proceedings of The 7th InternationalConference on Hydroinformatics HIC 2006, Nice, France, September 4 - 8, V4, 3127-3134.

[44] Parasuraman, K., Elshorbagy, A., and Carey, S. 2006. Genetic Programming as a Model Induction Engine for Characterizing The Evapotranspiration Process. Proceedings of The 7th International Conference on Hydroinformatics HIC 2006, Nice, France, September 4 - 8, V2, 815-822.

[45] Elshorbagy, A. and Barbour, S.L. 2006. Probabilistic Assessment of the Sustainability of Restored Watersheds. Proceedings of The 7th International Conference on Hydroinformatics HIC 2006, Nice, France, September 4 - 8, V4, 3039-3046.

[46] Parasuraman, K., Elshorbagy, A., and Si, B. 2006. Estimating Saturated Hydraulic Conductivity in Spatially-Variable Fields Using Neural Network Ensembles. Unsaturated Soils Conference, Arizona, U.S.A., April 2 - 6 (poster).

[47] Elshorbagy, A. and Jutla, A. 2006. Hydrological Modeling of Reconstructed Watersheds Using System Dynamics. General Assembly of the European Geosciences Union , Vienna, Austria, April 2-7 (Abstract & oral presentation).

[48] Kelln, C. J., Barbour, S. L., Elshorbagy, A., and Qualizza, C. 2005. Long-term Performance of a Reclamation Cover: The Evolution of Hydraulic Properties and Hydrologic Response. Unsaturated Soils Conference, Arizona, U.S.A., April 2 - 6 (accepted).

[49] Jutla, A., Elshorbagy, A., and Kells, J. 2005. Beyond Rainfall-Runoff Modeling: Hydrologic simulation of Reconstructed Watersheds Using System Dynamics. 17th Canadian Hydrotechnical Conference, Edmonton, AB, Canada, August 17-19, 11-20.

[50] Elshorbagy, A. 2005. Predicting the Uncertainty of Watershed Models Using a Simple Bayesian Approach. 17th Canadian Hydrotechnical Conference, Edmonton, AB, Canada, August 17-19, 1-10.

[51] Parasuraman, K. and Elshorbagy, A. 2005. Wavelet Networks: An Alternative to Neural Networks. International Joint Conference on Neural Networks, Montreal, QC, Canada, July 31-Aug 4 (poster).

[52] Parasuraman, K. and Elshorbagy, A. 2005. Modeling the Dynamics of Evaporation by Recurrent Artificial Neural Networks. 58th Annual CWRA NationalConference, Banff, AB, Canada, June 15-18 (poster).

[53] Parasuraman, K. and Elshorbagy, A. 2005. Cluster-based streamflow prediction using genetic algorithm-trained neural networks. General Assembly of the European Geosciences Union , Vienna, Austria, April 23-29 (poster & oral presentation).

[54] Elshorbagy, A. 2004. Multi-criterion Decision Analysis Approach to Assess the Performance of Reconstructed Watersheds. IFAC Workshop on Modelling and Control for Participatory Planning and Managing Water Systems. Sept 29-Oct 1, Venice, Italy.

[55] Elshorbagy, A. and Ormsbee, L. 2004. Water quality management using the TMDL approach: application in southern Kentucky. Proceedings of the Annual Conference of Canadian Society of Civil Engineers, Saskatoon , Saskatchewan , June 2-5.

[56] Parasuraman, K. and Elshorbagy, A. 2004. Performance of various heuristic methods in estimation of parameters for model calibration. Proceedings of the Annual Conference of Canadian Society of Civil Engineers, Saskatoon , Saskatchewan , June 2-5.

[57] Jutla, A., Elshorbagy, A. and Kells, J. 2004. Predicting spring runoff in the Canadian Prairies using artificial neural networks. Proceedings of the Annual Conference of Canadian Society of Civil Engineers, Saskatoon , Saskatchewan , June 2-5.

[58] Alabi, P., Kells, J. and Elshorbagy, A. 2004. Use of artificial neural networks in describing complex flow field conditions. Proceedings of the Annual Conference of Canadian Society of Civil Engineers, Saskatoon , Saskatchewan , June 2-5.

[59] Azinfar, H., Kells, J. and Elshorbagy, A. 2004. Use of neural networks in the prediction of local scour below a sluice gate. Proceedings of the Annual Conference of Canadian Society of Civil Engineers, Saskatoon , Saskatchewan , June 2-5.

[60] Elshorbagy, A., Teegavarapu, R. and Ormsbee, L. 2002. System dynamics approach to water quality management in Southeastern Kentucky. XIV International Conference on Computational Methods in Water Resources, June 23-28, 2002 , Delft , The Netherlands, Elsevier, Vol.2, 1557-1564.

[61] Teegavarapu, R. and Elshorbagy, A. 2002. A new error statistic for performance evaluation of models in hydrology. XIV International Conference on Computational Methods in Water Resources, June 23-28, 2002 , Delft , The Netherlands, Elsevier, Vol.1, 787-794.

[62] Elshorbagy, A., Teegavarapu, R. and Ormsbee, L. 2002. System dynamics, GIS, and inductive models: A tool-kit for water quality management. Proceedings of American Water Resources Association, Middleburg, Virginia, TPS-02-4, Edited by Welty, Claire, 64.(abstract)

[63] Teegavarapu, R., Elshorbagy, A. and Ormsbee, L. 2002. Characterizing pollutant loadings in streams using system dynamics simulation. Proceedings of American Water Resources Association, Middleburg, Virginia, TPS-02-4, Edited by Welty, Claire, 247. (abstract)

[64] Teegavarapu, R., Elshorbagy, A. and Ormsbee, L. 2002. Inductive modeling of nutrient loadings in streams. Mississippi River Climate and hydrology Conference, May 13-17, New Orleans, LA, U.S.A. (abstract).

[65] Artificial Neural Network Experiment Group. 2002. An International Comparative Study of Artificial Neural Network Techniques for River Stage Forecasting. 8th British Hydrological Society's National Symposium, September 8-11, Birmingham, UK.

[66] Elshorbagy, A., Panu, U. and Simonovic, S. 2000. Group-based estimation of missing data in chaotic hydrologic time series (abstract). AIH Annual Meeting and International Conference: Atmospheric, Surface and Subsurface Hydrology and Interactions. Research Triangle Park, NC, November 5-8, 25-26.

[67] Teegavarapu, R., Elshorbagy, A. and Simonovic, S. 2000. Disaggregation of hydrological time series using neural networks (abstract). AIH Annual Meeting and International Conference: Atmospheric, Surface and Subsurface Hydrology and Interactions. Research Triangle Park, NC, November 5-8, 51.

[68] Elshorbagy, A., Panu , U. S. and Simonovic, S. P. 1999. Investigations into group-based data in-filling techniques. Proceedings of the Annual Conference of Canadian Society of Civil Engineers, Regina , Saskatchewan , June 2-5, 337 -348.

[69] Elshorbagy, A. 1998. Is sustainability at risk? Case study of the Egyptian New Valley Project. Proceedings of the 2nd International Conference on the Role of Engineering Towards Better Environment, 12-15 Dec., Alexandria , Egypt .

[70] Elshorbagy, A. and Sharifi, A. 1996. Environment-oriented water related projects appraisal. Proceedings of the 16th International Congress on Irrigation and Drainage (ICID), Sept. 15-22, Cairo , Egypt .

 

Technical Reports

[71] Elshorbagy, A. and Carey, S. 2007. Risk-based assessment of the sustainability of reclamation strategy. CANSIM Series Report No. CAN-07-01, Centre for Advanced Numerical simulation (CANSIM), Department of Civil & Geological Engineering, University of Saskatchewan, Saskatoon, SK, Canada, pp. 21. CAN-07-01.pdf.

[72] Jutla, A., Elshorbagy, A. and Kells, J. 2006. Simulation of the hydrological processes on reconstructed watersheds using system dynamics. CANSIM Series Report No. CAN-06-01, Centre for Advanced Numerical simulation (CANSIM), Department of Civil & Geological Engineering, University of Saskatchewan, Saskatoon, SK, Canada, pp. 139. CAN-06-01.pdf

[73] Elshorbagy, A. 2006. Performance assessment of hydrologic models based on the uncertainty of measurements. CANSIM Series Report No. CAN-06-02, Centre for Advanced Numerical simulation (CANSIM), Department of Civil & Geological Engineering, University of Saskatchewan, Saskatoon, SK, Canada, pp. 21. CAN-06-02.pdf

[74] Elshorbagy, A. and Jutla, A. 2006. Tracing the evolution of reconstructed watersheds using the parameters of the system dynamics watershed model. CANSIM Series Report No. CAN-06-03, Centre for Advanced Numerical simulation (CANSIM), Department of Civil & Geological Engineering, University of Saskatchewan, Saskatoon, SK, Canada, pp. 32. CAN-06-03.pdf

[75] Keshta, N. and Elshorbagy, A. 2006. Wetland hydrology: A literature review. CANSIM Series Report No. CAN-06-04, Centre for Advanced Numerical simulation (CANSIM), Department of Civil & Geological Engineering, University of Saskatchewan, Saskatoon, SK, Canada, pp. 33.