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Mac McKee

Profile Picture

Other

- Utah Water Research Laboratory

UWRL Director; Professor

Professor

Educational Background

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

Expertise

Evapotranspiration, Irrigation, Remote Sensing, Reservoir Management, River Basin Management, Soil Moisture, Water Quantity, Water Resources Engineering




Contact Information

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

    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      * Has not been peer reviewed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        * Has not been peer reviewed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          * Has not been peer reviewed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

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                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