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Mac McKee

Profile Picture

UWRL Director

Water Resources Engineering

Professor

Contact Information

Office Hours: T 9:00-10:00
Go toOffice Location: UWRL 248
DialPhone: (435) 797-3188
SendEmail: mac.mckee@usu.edu


Educational Background

PhD, Civil and Environmental Engineering, Utah State University, 1985
MS, Systems Ecology, Utah State University, 1979
BS, Philosophy, Utah State University, 1972

Publications - Abstracts

    Publications - Books & Book Chapters

      * Has not been peer reviewed

      Publications - Fact Sheets

        * Has not been peer reviewed

        Publications - Curriculum

          * Has not been peer reviewed

          Publications - Journal Articles

            Academic Journal

          • Pande, S., Bastidas, L.A, Bhulai, S., McKee, M., Parameter dependent convergence bounds and complexity measure for a class of conceptual hydrological models. Journal of Hydroinformatics, doi: 10.2166/hydro.2011.005
          • Kettenring, K., Mock, K.E, Zaman, B., McKee, M., (2016). Life on the edge: reproductive mode and rate of invasive Phragmites australis patch expansion. Biological Invasions, 18, 2475-2495.
          • Hassan-Esfahani, L., Torres-Rua, A., McKee, M., (2015). Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data. Agricultural Water Management, 153:2015, 42-50.
          • Bachour, R., Maslova, I., Ticlavilca, A.M, Walker, W.R, McKee, M., (2015). Wavelet-Multivariate Relevance Vector Machine Hybrid Model for Forecasting Daily Evapotranspiration. Stochastic Environmental Research and Risk Assessment, doi: 10.1007/s00477-015-1039-z
          • Hassan-Esfahani, L., Torres-Rua, A., Jensen, A., McKee, M., (2015). Assessment of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery and Artificial Neural Networks. Remote Sensing, 2015:7, 2627-2646. doi: doi:10.3390/rs70302627
          • Bachour, R., Walker, W.R, Ticlavilca, A.M, McKee, M., Maslova, I., (2014). Estimation of Spatially Distributed Evapotranspiration using Remote Sensing and a Relevance Vector Machine. Journal of Irrigation and Drainage Engineering (ASCE), 140:8, doi: 04014029
          • Andriyas, S., McKee, M., (2014). Exploring Irrigation Decision Behavior at Delta, Utah Using Hidden Markov Models. Agricultural Water Management, 143, 48-58.
          • Zaman, B., Jensen, A., Syrstad, S., McKee, M., (2014). Retrieval of Spectral Reflectance of High Resolution Multispectral Imagery Acquired with an Autonomous Unmanned Aerial Vehicle, AggieAir. Photogrammetric Engineering and Remote Sensing Journal, 80:12, 1139-1150. doi: 10.14358/PERS.80.12.1139
          • Zaman, B., McKee, M., (2014). Spatio-temporal Prediction of Root Zone Soil Moisture Using Multivariate Relevance Vector Machines. Open Journal of Modern Hydrology, 4, 80-90.
          • Khader, A.I, McKee, M., (2014). Use of a Relevance Vector Machine for Groundwater Quality Monitoring Network Design Under Uncertainty. Environmental Modelling and Software, 57:2014
          • Basdekas, L., Bastidas, L.A, Hardy, T.B, Caplan, A.J, McKee, M., (2014). Virgin River multi-objective optimization: maximizing endangered fish habitat and minimizing costs. International Journal of River Basin Management, doi: 10.1080/15715124.2013.879592
          • Andriyas, S., McKee, M., (2013). Recursive partitioning techniques for modeling irrigation behavior. Environmental Modelling & Software, 47, 207-217.
          • Bachour, R., Walker, W.R, Torres-Rua, A., McKee, M., (2013). Assessment of Reference Evapotranspiration by the Hargreaves Method in the Bekaa Valley, Lebanon. Journal of Irrigation and Drainage Engineering, 139:11
          • Khader, A., Rosenberg, D.E, McKee, M., (2013). A decision tree model to estimate the value of information provided by a groundwater quality monitoring network. Hydrology and Earth System Sciences, 17:5, 1797-1807. doi: 10.5194/hess-17-1797-2013
          • Zaman, B., McKee, M., Neale, C.M, (2012). Fusion of remotely sensed data for soil moisture estimation using relevance vector and support vector machines. International Journal of Remote Sensing, 33:20, 6516-6552. doi: 10.1080/01431161.2012.690540
          • Torres-Rua, A.F, Ticlavilca, A.M, Walker, W.R, McKee, M., (2012). Machine Learning Approaches for Error Correction of Hydraulic Simulation Models for Canal Flow Schemes. Journal of Irrigation and Drainage Engineering, 138:11, 999-1010. doi: 10.1061/(ASCE)IR.1943.4774.0000489
          • Ammar, K., McKee, M., Kaluarachchi, J., Moe, H., Almasri, M., Khalil, A., (2011). Bayesian method for groundwater quality monitoring network. Journal of Water Resources Planning and Management, 137, 51-61.
          • McKee, M., McKee, M., Walker, W.R, Real-time forecasting of short-term irrigation canal demands using a robust multivariate Bayesian learning model. Irrigation Science, doi: 10.1007/s00271-011-0300-6 *
          • McKee, M., McKee, M., Walker, W.R, Real-time forecasting of short-term irrigation canal demands using a robust multivariate Bayesian learning model. Irrigation Science, doi: 10.1007/s00271-011-0300-6 *
          • Torres, A.F, Walker, W., McKee, M., (2010). Forecasting Daily Potential Evapotranspiration Using Machine Learning and Limited Climatic Data. Agricultural Water Management , 98:2011, 553-562.
          • McKee, M., (2010). Future Solutions: Research Needs in the Jordan River Watershed. Journal of Transboundary Water Resources , 1, 179-187.
          • Flake, J., Moon, T.K, McKee, M., Gunther, J.H, (2010). Application of the relevance vector machine to canal flow prediction in the Sevier River Basin. Agricultural Water Management , 97:2, 208 - 214. doi: 10.1016/j.agwat.2009.09.010
          • Khalil, A., Abedalrazq, K., McKee, M., Kaluarachchi, J., (2006). Ambient groundwater quality monitoring network design using Relevance Vector Machines. Water Resour. Res., 44, W08412. doi: 10.1029/2006WR005616
          • Shu, Q., Kemblowski, M.W, McKee, M., (2005). An application of Ensemble Kalman Filter in integral-balance subsurface modeling. Stochastic Environmental Research and Risk Assessment, 19:5, 361-374.
          • Abedalrazq, K., Almasri, M.N, McKee, M., Kaluarachchi, J., (2005). Applicability of statistical learning algorithms in groundwater quality modeling. Water Resources Research, 41, W05010. doi: 10.1029/2005
          • Asefa, T.M, Kemblowski, M.W, Urroz, G.E, McKee, M., (2005). Support Vector Machines (SVMs) for Monitoring Network Design. Ground Water
          • Asefa, T., Kemblowski, M.W, Urroz, G.E, McKee, M., Khalil, A., (2004). Support vectores based groundwater head observation networks design. Water Resources Research, 40, W11509. doi: 10.1029/2004WR003304
          • Willis, R., Finney, B.A, McKee, M., Militello, A., (1989). Stochastic analysis of estuarine hydraulics. Stochastic Hydrology and Hydraulics, 3:2, 71-84.
          • Bishop, A.B, Narayanan, R., Morgan, T.W, McKee, M., (1976). Multiobjective Planning: Concepts and Methods. ASCE J. Water Res. Planning Mgmt Div., 102:2, 239-253.
          • Crawford, A.B, McKee, M., (1975). A Computer Interactive Simulation Game for Use in Environmental Education. Journal of Environmental Education, 7:1, 239-253.

          * Has not been peer reviewed

          Publications - Literary Journal

            * Has not been peer reviewed

            Publications - MultiMedia

              * Has not been peer reviewed

              Publications - Technical Reports

                * Has not been peer reviewed

                Publications - Translations & Transcripts

                  Publications - Other

                    * Has not been peer reviewed

                    Scheduled Teaching

                    CEE 5500, 6500 - Open Channel Hydraulics with an Emphasis on Gradually Varied Flow, Fall 2016

                    CEE 5500, 6500 - Open Channel Hydraulics with an Emphasis on Gradually Varied Flow, Fall 2015

                    CEE 5500,6500 - Open Channel Hydraulics with an Emphasis on Gradually Varied Flow, Fall 2014

                    CEE 5500,6500 - Open Channel Hydraulics with an Emphasis on Gradually Varied Flow, Fall 2013

                    CEE 5500,6500 - Open Channel Hydraulics with an Emphasis on Gradually Varied Flow, Fall 2011