Refereed Publications

Bold Author Names are WRRC Affiliated Faculty.

Underlined Author Names are WRRC Supported Ph.D. Students.


  1. Friedman, K., J. Heaney, M. Morales, and J. Palenchar. 2014. Process Evaluation of Residential Water Use and Population Served. Journal of American Water Works Association. Vol. 106, No. 6.
  2. Friedman, K., J. Heaney, M. Morales. 2014. Estimation of single-family residential irrigation demand management effectiveness. Journal of American Water Works Association. Vol. 106, No. 5.
  3. Shcherbina,N.S., S.S. Kalmykov, L.A. Karpiouk, S.A. Ponomarenko, K. Hatfield, R. Haire, and I.V. Perminova. 2014. Nonreversible Immobilization of Water-Borne Plutonium onto Self-Assembled Adlayers of Silanized Humic Materials. 2014. Environmental Science & Technology 48 (4), 2226-2233. DOI: 10.1021/es404583f.


  1. Acar, Ö, H. Klammler, K. Hatfield, M. A. Newman, M. Annable, J. Cho, B. Parker, J. Cherry, P. Pehme, P. Quinn, and R. Kroeker. 2013. A stochastic model for estimating groundwater and contaminant discharges from fractured rock passive flux meter measurements. Water Resour. Res. VOL. 49, 1–15,
  2. Friedman, K., J. Heaney, M. Morales and J.E. Palenchar. 2013. Predicting and managing residential potable irrigation using parcel-level databases. Vol. 105, No. 7.
  3. Ged, E.C., Boyer, T.H., 2013. Molecular weight distribution of phosphorus fraction of aquatic dissolved organic matter. Chemosphere, 91, 921–927.
  4. Morales, M.A., J.P. Heaney, K.R. Friedman, and J.M. Martin. 2013. Parcel-level model of water and energy end use: Effects of indoor water conservation. Journal of American Water Works Association. Vol. 105, No. 9.
  5. Morales, M.A., J.M. Martin, J.P. Heaney, and K.R. Friedman. 2013. Parcel-level modeling of end-use water demands in public supply. Journal of American Water Works Association. Vol. 105, No. 8.
  6. Teegavarapu R. 2013. Missing Precipitation Data Estimation using Optimal Proximity Metric-based Imputation, Nearest Neighbor Classification and Cluster-based Interpolation Methods. Hydrological sciences journal. 11. DOI: 10.1080/02626667.2013.862334.
  7. Teegavarapu, R. S. V. 2013. Climate change-sensitive hydrologic design under uncertain future precipitation extremes, Water Resources Research, 49, 7804–7814, doi:10.1002/2013WR013490.
  8. Teegavarapu, R. S. V. 2013. Statistical corrections of spatially interpolated missing precipitation data estimates. Hydrologic Processes. doi: 10.1002/hyp.9906
  9. Teegavarapu, Ramesh S.V., Aneesh Goly, Jayantha Obeysekera. 2013. Influences of Atlantic multidecadal oscillation phases on spatial and temporal variability of regional precipitation extremes, Journal of Hydrology, Volume 495, Pages 74-93, ISSN 0022-1694,
  10. Wangusi, N., G. Kiker, R. Muñoz-Carpena, and W.R. Henson. 2013. Improving watershed decisions using run-off and yield models at different simulation scales. Environmental Systems and Decisions. September 2013, Volume 33, Issue 3, pp 440-456.


  1. Teegavarapu, R.S.V., 2012. Spatial interpolation using nonlinear mathematical programming models for estimation of missing precipitation records. Hydrological Sciences Journal, 57 (3), 383–406. DOI: 10.1080/02626667.2012.665994.
  2. Karpiouk, L.A., S.A. Ponomarenko, A.I. Konstatinov, N. Hertkorn, A.M. Muzafarov, K. Hatfield, I.V. Perminova. 2012. Controlling Aqueous Sorption of Humic Substances on Silica Gel by Directed Alkoxysilyl-Derivatization of Their Functionalities, Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol 396, 224-232, DOI: 10.1016/j.colsurfa.2011.12.068.
  3. Karpiouk, L.A., S.A. Ponomarenko, A. Mourran, D. Bochkariov, A. M. Muzafarov, K. Hatfield and I.V. Perminova. 2012. Self-assembly of alkoxysilanized humic substances into multidomain adlayers at the water-solid interface: linking surface morphology to molecular structures of adsorbate, Soft Matter, 8 (8), 2452 – 2459. DOI: 10.1039/C2SM06582G
  4. Klammler H., K. Hatfield, J.A.G. Luz, M.D. Annable, M. Newman, J. Cho, A. Peacock, V. Stucker, J. Ranville, S. Cabaniss, and P. S. Rao. 2012. Contaminant Discharge and Uncertainty Estimates from Passive Flux Meter Measurements, Water Resources Research. 48, W02512, DOI:10.1029/2011WR010535.
  5. Teegavarapu, R.S.V. 2012. Spatial interpolation using nonlinear mathematical programming models for estimation of missing precipitation records. Hydrological Sciences Journal, 57 (3). DOI:10.1080/02626667.2012.665994
  6. Ferreira, A., Teegavarapu, R.S.V. 2012. Optimal and Adaptive Operation of a Hydropower System with Unit Commitment and Water Quality Constraints. Water Resources Management, 26 (3), 707-732. DOI: 10.1007/s11269-011-9940-9.
  7. Ferreira, A., Teegavarapu, R.S.V. 2012. Partial constraint satisfaction approaches for optimal operation of a hydropower system. Engineering Optimization. Vol. 44, Iss. 9. 1073-1093. DOI:10.1080/0305215X.2011.632007.


  1. Friedman, K., Heaney, J., Morales, M. and J. Palenchar. 2011. Water Demand Management Optimization Methodology. Jour. American Water Works Assoc., Vol. 103, No. 9.
  2. Inglett, K.S., H.S. Bae, H.C. Aldrich, K. Hatfield, A.V. Ogram. 2011. Clostridium chromiireducens sp. nov., isolated from Cr(VI)-contaminated soil, International journal of systematic and evolutionary microbiology, 61 (11), 2626-31. DOI: 10.1099/ijs.0.024554-0.
  3. Kacimov, A., H. Klammler, N. Ilyinsky, and K. Hatfield. 2011. Constructal design of permeable reactive barriers: A groundwater hydraulics criteria, J. Engineering Mathematics, DOI 10.1007/s10665-011-9457-5.
  4. Klammler, H., K. Hatfield, M. McVay, and J. A. G. da Luz. 2011. Approximate up-scaling of geo-spatial variables applied to deep foundation design, Georisk, 5 (3-4), 163-172.
  5. Klammler, H., K. Hatfield, B. Nemer, and S.A. Mathias. 2011. A Trigonometric Interpolation Approach to Mixed Type Boundary Problems Associated with Permeameter Shape Factors, Water Resour. Res., 47, W03510.
  6. Mohamed M.M. and K. Hatfield. 2011. Dimensionless monod parameters to summarize the influence of microbial growth kinetics and inhibition on the attenuation of groundwater contaminants, Biodegradation, 22 (5), 877-896, DOI 10.1007/s10532-010-9445-x.
  7. Morales, M., Heaney, J., Friedman, K., and Martin J. 2011. “Estimating Commercial, Industrial, and Institutional Water Use on the Basis of Heated Building Area.” Jour. American Water Works Assoc., Vol. 103, No. 6.
  8. Son, M., and T.-J. Hsu. 2011. The effects of flocculation and bed erodibility on modeling cohesive sediment resuspension, J. Geophys. Res., Vol. 116, C03021, doi:10.1029/2010JC006352.
  9. Stucker, V., J. Ranville, M. Newman, A. Peacock, J.Cho, and K. Hatfield. 2011. Evaluation and application of anion exchange resins to measure groundwater uranium flux at a former uranium mill site, Water Research, doi:10.1016/j.watres.2011.06.030.
  10. Wallis I., H. Prommer, T. Pichler, V. Post, S.B. Norton, M.D. Annable, and C.T. Simmons. 2011. Process-Based Reactive Transport Model To Quantify Arsenic Mobility during Aquifer Storage and Recovery of Potable Water. Environmental Science & Technology 2011 45 (16), 6924-6931. DOI: 10.1021/es201286c.


  1. Bhat, S., J. Jacobs, K. Hatfield, and W. Graham. 2010. A comparison of storm-based and annual-based indices of hydrologic variability: A case study in Fort Benning, Georgia. Environmental Monitoring and Assessment, 167, (1-4), 297-307. DOI: 10.1007/s10661-009-1050-2; 1-11.
  2. Klammler, H., K. Hatfield, and A Kacimov. 2010. Analytical solutions for flow fields near drain and gate reactive barriers, Ground Water, 48 (3), 427–437.
  3. Hong, S-H, S. Wdowinski, S-W Kim. 2010a. Evaluation of TerraSAR-X observations for Wetland InSAR application, IEEE Geosciences and Remote Sensing, 48, 864-873.
  4. Hong, S-H, S. Wdowinski, S-W Kim. 2010b. Space-based multi-temporal monitoring of wetland water levels: Case study of WCA1 in the Everglade, Remote Sensing for Environment.
  5. Mohamed M.M., K. Hatfield, A. Hassan, and H. Klammler. 2010. Stochastic evaluation of subsurface contaminant discharge under physical, chemical, and biological heterogeneities, Advances in Water Resources., 33 (7), 801-812.
  6. Nilsson, K., Trout, K., Ross, M. 2010. General Model to Represent Multiple Wetland and Lake Stage-Storage Behavior, ASCE Journal of Hydrologic Engineering, 15(10), 786-795.
  7. Ozdemir, C. E., Hsu, T.-J., Balachandar, S. 2010. A numerical investigation of fine particle laden flow in oscillatory channel: the role of particle-induced density stratification, J. Fluid Mech., 665, 1-45.
  8. Teegavarapu, R.S.V. 2010. Modeling climate change uncertainties in water resources management models. Environmental Modeling and Software, 25 (10), 1261-1265.


  1. Basu, N.B., P.S.C. Rao, I.C. Poyer, S. Nandy, M. Mallavarapu, R. Naidu, G.B. Davis, Bradley M. Patterson, M.D. Annable and K. Hatfield. 2009. Integration of traditional and innovative characterization techniques for flux-based assessment of dense non-aqueous phase liquid (DNAPL) sites. Contaminant Hydrology, 105(3-4), 161-172.
  2. Dixon, B. and Earls, J. 2009. Resample or not? Effects of Resolution of DEMs In Watershed Modeling. Journal of hydrological Processes. 23(12): 1714 – 1724.
  3. Dixon, B. 2009. A Case Study Using SVM, NN and Logistic Regression in a GIS to Predict Wells Contaminated with Nitrate-N. Hydrogeology Journal. 17 (6), 1507-1520. DOI: 10.1007/s10040-009-0451-1.
  4. Gowdish, L. and R. Muñoz-Carpena. 2009. An improved Green-Ampt infiltration and redistribution method for uneven multistorm series. Vadose Zone J. 8(2):470-479 doi:10.2136/vzj2008.0049.
  5. Klammler, H., and K. Hatfield. 2009. Analytical Solutions for the Flow Fields near Funnel-and-Gate Reactive Barriers with Hydraulic Losses. Water Resources Res., 25, W02423.
  6. Kuo, Y.M. and R. Muñoz-Carpena. 2009. Simplified modeling of phosphorus removal by vegetative filter strips to control runoff pollution from phosphate mining areas. Journal of Hydrology. 378:343–354. DOI: 10.1016/j.jhydrol.2009.09.039.
  7. Kuo, Y.M., W.G. Harris, R. Muñoz-Carpena, R.D. Rhue, Y. Li. 2009. Apatite control of phosphorus release to runoff from soils of phosphate mine reclamation areas. Water, Air & Soil Pollution 202(1-4):189-198. doi:10.1007/s11270-008-9969-4.
  8. Padowski, J.C., E.A. Rothfus, J.W. Jawitz, H. Klammler, K. Hatfield, and M.D. Annable. 2009. Effect of Passive Surface Water Flux Meter Design on Water and Solute Mass Flux Estimates, ASCE, Journal of Hydrologic Engineering, 14(12), 1334-1342 (Notable Mention for ASCE Best Paper of the Year).
  9. Shah, N., M. Ross. 2009. Variability in Specific Yield under Shallow Water Table Conditions. Journal of Hydrologic Engineering, Volume 14, Issue 12, pp. 1290-1298.
  10. Teegavarapu, R.S.V. 2009. Estimation of missing precipitation records integrating surface interpolation techniques and spatio-temporal association rules. Journal of Hydroinformatics 2009 Vol. 11 No. 2 pp. 133-146. DOI10.2166/hydro.2009.009.
  11. Teegavarapu, R.S.V., M. Tufail, and L. Ormsbee. 2009. Optimal functional forms for estimation of missing precipitation data. Journal of Hydrology, 374 (1-2), 106-115.
  12. Zhang, J., Shah, N., and Ross, M. A. 2009. Observations of long term air entrapment affecting runoff and water table. Int. J. Water, Vol. 5 No. 2, pp. 140-162.


  1. Basu, N., P.S.C. Rao, R.W. Falta, M.D. Annable, J.W. Jawitz, and K. Hatfield, 2008. Temporal Evolution of DNAPL Source and Contaminant Flux Distribution: Impacts of Source Mass Depletion. Journal of Contaminant Hydrology, 95(3-4), 93-109.
  2. Brooks, M.C., A. L. Wood, M. D. Annable, K. Hatfield, J. Cho, C. Holbert, P. S. C. Rao, C. G. Enfield, K. Lynch, and R. E. Smith. 2008. Changes in Contaminant Mass Discharge from DNAPL Source Mass Depletion: Evaluation at Two Field Sites, Journal of Contaminant Hydrology, 102 (1-2), 140-153.
  3. DeSilva, M., M. H. Nachabe, J. Simunek, and R. Carnahan. 2008. Simulating Root Water Uptake from a Heterogeneous Vegetation Cover using Finite Element Modeling. J. Irrig. and Drain. Engrg. Volume 134, Issue 2, pp. 167-174.
  4. Dixon, B. and Candade , N. 2008. Multispectral landuse classification using neural networks and support vector machines: one or the other, or both? International Journal of Remote Sensing. 29 (4): 1185-1206.
  5. Earls J. and Dixon B. 2008. A Comparison of SWAT Model-Predicted Potential Evapotranspiration: Using Real and Modeled Meteorological Data. Vadose Zone Journal: Special issue paper. Multiscale Mapping: Physical Concepts and Mathematical Techniques. Soil Science Society of America. 7(2):570–580.
  6. Earls, J. and Dixon, B. 2008. Using the Fractal Dimension to Differentiate Between Natural & Artificial Wetlands. Interdisciplinary Environmental Review (IER), Vol. X, (no. 1): 33-44.
  7. Jawitz, J., R. Muñoz-Carpena, S. Muller, K. Grace, and A. James. 2008. Development, Testing, and Sensitivity and Uncertainty Analyses of a Transport and Reaction Simulation Engine (TaRSE) for Spatially Distributed Modeling of Phosphorus in South Florida Peat Marsh Wetlands. Scientific Investigations Report 2008-5029. U.S. Department of the Interior-U.S. Geological Survey: Reston, VA.
  8. Klammler, H., and K. Hatfield. 2008. Analytical Solutions for the Flow Fields near Continuous Wall Reactive Barriers. Journal of Contaminant Hydrology, 98(1-2), 1-14.
  9. Klammler, H., K. Hatfield. 2008. The Problem of Flow-By-Pass at Permeable Reactive Barriers. In: Geo-Environmental and Landscape Evolution III, Mander, U., Brebbia, C.A., and Martin-Duque, J.F. (Eds.), WIT press, Wessex Institute of Technology, UK, pp. 15-24.
  10. Shah, N., M. Ross, and G.S. Ladde. 2008. Dynamic Modeling of Root Water Uptake Using Soil Moisture Data. Neural, Parallel and Scientific Computations, Vol.16, No. 1, pgs 105-124, Dynamic Publishers.
  11. Wdowinski, S., S. Kim, F. Amelung, T. Dixon, F. Miralles-Wilhelm, and R. Sonenshein. 2008. Space-based detection of wetlands surface water level changes from L-band SAR interferometry, Remote Sensing for Environment,112/3, 681-696.
  12. Zhang, J., R.R. Murch, M.A. Ross, A.R. Ganguly, and M. Nachabe. 2008. Evaluation of Statistical Rainfall Disaggregation Methods Using Rain-Gauge Information for West-Central Florida. J. Hydrologic Engrg. Volume 13, Issue 12, pp. 1158-1169.
  13. Nilsson, K.A., M.A. Ross, and K.E. Trout. 2008. Analytic Method to Derive Wetland Stage-Storage Relationships Using GIS Areas. J. Hydrologic Engrg. Volume 13, Issue 4, pp. 278-282.


  1. Bhat, S., K. Hatfield, J.M. Jacobs, R. Lowrance, and R. Williams. 2007. Surface runoff contributions of nitrogen during storm events in a forested watershed. Biogeochemistry, 85:253-262.
  2. Bhat, S., K. Hatfield, J. M. Jacobs, and W. D. Graham. 2007. Relationships between military land use and storm-based indices of hydrologic variability. Ecological Indicators, 7 (3), 553-564.
  3. Cho, J., M.D. Annable, J.W. Jawitz, and K. Hatfield. 2007. Passive flux meter measurement of water and nutrient flux in porous media: Bench-scale laboratory tests, Journal of Environmental Quality, 36(5): 1266-1272.
  4. Dixon, B., and Earls, J. 2007. Examining Spatio-Temporal Relationships of landuse change, population growth and water quality in the SWFWMD. Interdisciplinary Environmental Review (IER). Vol. IX (no.11):71 – 93.
  5. Dixon, B. Li D., Earls, J and Xinhua Liu. 2007. The Study on Groundwater Vulnerability Assessment Method. Environmental Protection Science. 33 (5):50 – 55.
  6. Klammler, H., K. Hatfield, M. D. Annable, E. Agyei, B. Parker, J. Cherry, and P.S.C. Rao. 2007. General analytical treatment of the flow field relevant to the interpretation of passive fluxmeter measurements. Water Resources Research, 43, W04407, doi:10.1029/2005WR004718.
  7. Klammler, H., K. Hatfield, and M. Annable. 2007. Concepts for measuring horizontal groundwater flow directions using the passive flux meters. Advances in Water Resources, 30 (4), 984-997.
  8. Klammler, H., M. Newman, E. Szilagyi, J. Padowski, K. Hatfield, J. Jawitz, and M. Annable. 2007. The passive surface water fluxmeter to measure cumulative water and solute fluxes. Environmental Science and Technology, 41 (7), 2485 -2490.
  9. Lee, J., P.S.C. Rao, I.C. Poyer, R.M. Toole, M.D. Annable, and K. Hatfield. 2007. Oxyanion flux characterization using passive flux meters: Development of field testing of surfactant-modified sorbents. Journal of Contaminant Hydrology, 92, 208-229.
  10. Mohamed, M.M.A., K. Hatfield, and I.V. Perminova. 2007. Evaluation of Monod kinetic parameters in the subsurface using moment analysis: theory and numerical testing. Advances in Water Resources., 30, 2034-2050.
  11. Muller. S. and R. Muñoz-Carpena. 2007. Effect of variable model structure in modelling wetlands phosphorus water quality in South Florida. (in review, Adv. Water Resources).
  12. Muñoz-Carpena, R., Z. Zajac and Yi-Ming Kuo. 2007. Evaluation of water quality models through global sensitivity and uncertainty analyses techniques: application to the vegetative filter strip model VFSMOD-W. Trans. of ASABE 50(5):1719-1732.
  13. Muñoz-Carpena, R., Z. Zajac, Y.M. Kuo. 2007. Evaluación de modelos de simulación de calidad de aguas mediante técnicas de análisis global de sensibilidad e incertidumbre: aplicación al modelo de filtros vegetales VFSMOD-W. In: J.V. Giráldez Cervera and F.J. Jiménez Hornero (eds.). Estudios de la Zona No Saturada del Suelo Vol. VIII. pp. 53-62. Cordoba (Spain). ISBN: 84-690-7893-8.
  14. Perminova, I.V., L.A. Karpiouk, N.S. Shcherbina, S.A. Ponomarenko, St.N. Kalmykov, and K. Hatfield. 2007. Synthesis and use of humic derivatives covalently bound to silica gel for Np(V) sequestration. Journal of Alloys and Compounds, 444-445, 512-517.
  15. Shah, N., M. Nachabe, and M. Ross. 2007. Extinction Depth and Evapotranspiration from Ground Water under Selected Land Covers, Ground Water Journal, 45 (3): 329-338. DOI: 10.1111/j.1745-6584.2007.00302.x.
  16. Yamout, G., K. Hatfield, and E. Romeijn. 2007. Comparison of new conditional value-at-risk-based management models for optimal allocation of uncertain water supplies. Water Resources Res., 43, W07430, doi: 10.1029/2006WR005210.
  17. Zhang, J. and M.A. Ross. 2007. Two Layer Vadose Zone Model for Surface and Groundwater Interactions. ASCE Journal of Hydrologic Engineering, Vol 12, No. 6: 663-675.


  1. Agyei, E., and K. Hatfield. 2006. Enhancing gradient-based parameter estimation with an evolutionary approach. Journal of Hydrology, 316(1-4), 266-280.
  2. Basu, N., P.S.C. Rao, I.C. Poyer, M.D. Annable, and K. Hatfield. 2006. Flux-based assessment at a manufacturing site contaminate with trichloroethylene. Journal of Contaminant Hydrology, 86 (1-2), 105-127.
  3. Bhat, S., J. M. Jacobs, K. Hatfield, and J. Prenger. 2006. Relationships between water chemistry and land use in military affected watersheds in Fort Benning, Georgia. Ecological Indicators, 6(2), 458-466.
  4. Campbell, T. J., K. Hatfield, H. Klammler, M. D. Annable, and P.S.C. Rao. 2006. Magnitude and directional measures of water and Cr(VI) fluxes by passive flux meter. Environmental Science and Technology  40(20), 6392-6397. (Designated the Best Technology Paper published in ES&T, 2006)
  5. Mohamed, M.M.A. and K. Hatfield, and A.E. Hassan. 2006. Monte Carlo evaluation of contaminant biodegradation in heterogeneous aquifers. Advances in Water Resources, 29(8), 1123-1139.
  6. Nachabe, M. H. 2006. Equivalence Between Topmodel and the NRCS Curve Number Method in Predicting Variable Runoff Source Areas. Journal of the American Water Resources Association. Volume 42, Number 1, February 2006, pages 225-235.
  7. Newman, M., K. Hatfield, J. Hayworth, P.S.C. Rao, and T. Stauffer. 2006. Inverse characterization of NAPL source zones. Environmental Science and Technology, 40(19), 6044-6050.
  8. Sedighi, A., H. Klammler, C. Brown, and K. Hatfield. 2006. A semi-analytical model for predicting water quality from an aquifer storage recovery system. Journal of Hydrology, 329, 403-412.


  1. Kim, S.Q.,Wdowinski, S., F. Amelung, T. Dixon. 2005. C-band interferometric SAR measurements of water level change in the wetlands: examples from florida and Louisiana. Geoscience and Remote Sensing Symposium, 2005. IGARSS ’05. Proceedings. IEEE International. July 25-29. 2005, Volume: 4, pp. 2708- 2710.
  2. Nachabe, M. H., N. Shah, M. Ross, and J. Vomacka. 2005. Evapotranspiration of Two Vegetation Covers in Humid Shallow Water Table Environment. Soil Science Society of America Journal, 69:492-499.
  3. Said, A., M. Nachabe, M. Ross, and J. Vomacka. 2005. Methodology for Estimating Specific Yield in Shallow Water Environment Using Continuous Soil Moisture Data. J. Irrig. and Drain. Engrg., Volume 131, Issue 6, pp. 533-538.