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Marcel G. Schaap

Marcel G Schaap


Assistant Professor in
Environmental Physics

 

Office: Shantz 524
Phone: (520) 626-4532
Fax: (520) 621-1647

Email: mschaap@cals.arizona.edu

updated 08/2011

 

RESEARCH INTERESTS

My research focuses on  the determination of hydraulic soil properties, vadose zone/critical zone transport processes, pore-scale fluid dynamics, but also dielectric properties of soils and other porous media.  Some of my research is of a rather fundamental nature, but yet pertinent on a societal level as it contributes to improving carbon dioxide capture and geological sequestration in deep saline aquifers or the characterization of deep vadose zones, some of which are contaminated with radioactive waste.  I currently have 47 publications and a total of over 1400 citations. 

Web links

Rosetta: A program to estimate soil hydraulic parameters

INSTRUCTION

I teach at the undergraduate and graduate levels that facilitates the understanding of fundamental physical properties and processes associated with the soil-vegetation-atmosphere system. Schaap uses innovative technologies, including computer and audiovisual recordings.  Schaap teaches SWES 420/520 'Environmental Physics” and SWES 605 "Modeling of Mass and Energy Flow in Soils". I also lecture in other departmental courses (SWES 430/530, SWES 470/570, SWES 200) and co-teaches a new course in Spring 2012, HWRS/SWES 696i “Advanced Topics in Pore-Scale Processes”.

EDUCATION

Ph.D., Environmental Sciences, 1996. University of Amsterdam, the Netherlands
M.S., Physical Geography, 1990. University of Amsterdam
B.A., Chemistry, 1984. University of Amsterdam

EMPLOYMENT

2006-present Department of Soil, Water and Environmental Science, University of Arizona.

2000-2006, Assistant/Associate Professional Research Scientist, University of California, Riverside.

2005, Letter of Appointment, Desert Research Institute, Las Vegas, Nevada.

1996-2006, Cooperative Employee, George E. Brown, Jr. Salinity Laboratory (USDA-ARS), Riverside, CA.

1996-2000, Postdoctoral Researcher. University of California, Riverside.

 

REFEREED JOURNAL ARTICLES

  1. Bouten W., M.G. Schaap, D.J. Bakker, and J.M. Verstraten, 1992. *Modelling Soil Water Dynamics in a Forested Ecosystem: A Site Specific Evaluation. Hydrological Processes, 6:435-444.
  2. Bouten W., M.G. Schaap, J. Aerts, and A.W.M Vermetten, 1996. *Monitoring and Modelling Canopy Water Storage Amounts in Support of Atmospheric Deposition Studies. Journal of Hydrology, 181:305-321.
  3. Schaap, M.G., and W. Bouten, 1996. *Modeling Water retention Curves of Sandy Soils Using Neural Networks. Water Resources Research, 32:3033-3040.
  4. Schaap, M.G. and W. Bouten, 1997. *Forest Floor Evaporation in a Dense Douglas Fir Stand. Journal of Hydrology, 201:367-383.
  5. Schaap, M.G., W. Bouten, and J.M. Verstraten, 1997. *Forest Floor Water Content Dynamics of a Douglas Fir Stand. Journal of  Hydrology, 193:97-113.
  6. Schaap, M.G., L. De Lange and T.J. Heimovaara. 1997. *TDR Calibration of Organic Forest Floor Media. Soil Technology, 11:205-217.
  7. Schaap, M.G., F.J. Leij, and M.Th.van Genuchten, 1998. Neural Network Analysis for Hierarchical Prediction of Soil Water Retention and Saturated Hydraulic Conductivity. Soil Sci. Soc. Am. J.,  62:847-855.
  8. Schaap, M.G., and F.J. Leij, 1998. Using Neural Networks to Predict Soil Water Retention and Soil Hydraulic Conductivity. Soil & Tillage Research, 47:37-42.
  9. Schaap, M.G., and F.J. Leij, 1998. Database Related Accuracy and Uncertainty of Pedotransfer Functions, Soil Science, 163:765-779.
  10. Šimůnek, J., R Angulo-Jaramillo, M.G. Schaap, J.P. Vandervaere, and M.Th. van Genuchten, 1998. Using an Inverse Method to Estimate the Hydraulic Properties of Crusted Soils From Tension Disc Infiltrometer Data. Geoderma, 86:61-81.
  11. Lebron, I., M.G. Schaap, and D.L. Suarez, 1999. Saturated Hydraulic Conductivity Prediction from Microscopic Pore Geometry Measurements and Neural Network Analysis, Water Resour. Res., 35:3149-3158.
  12. Leij, F.J., M. G. Schaap, and E. Priesack, 2000. Three-dimensional Transport from Persistent Solute Sources Modeled with Green’s Functions. Contaminant Hydrology,41:155-173.
  13. Schaap, M.G., and F.J. Leij. 2000. Improved Prediction of Unsaturated Hydraulic Conductivity with the Mualem-van Genuchten Model, Soil Sci. Soc. Am. J., 64:843-851.
  14. Dekker, S.C., W. Bouten and M.G. Schaap, 2001. Use of Artificial Neural Networks to Improve Predictions of a Deterministic Forest Transpiration Model. Journal of Hydrology, 246:197-208.
  15. Johnson, C.A., M.G. Schaap, and K.C. Abbaspour. 2001. Model Comparison of Flow Through a Municipal Solid Waste Incinerator Ash Landfill. Journal of Hydrology, 243:55-72.
  16. Goncalves, M.C., F.J. Leij, and M.G. Schaap, 2001. Pedotransfer Functions for Solute Transport Parameters. European Journal of Soil Science, 52:563-574.
  17. Schaap, M.G., F.J. Leij, and M. Th. van Genuchten, 2001. Rosetta: a Computer Program for Estimating Soil Hydraulic Parameters with Hierarchical Pedotransfer Functions. Journal of Hydrology, 251:163-176.
  18. Nemes, A. M. G. Schaap, F. J. Leij and J. H. M. Wösten, 2001. Unsaturated Soil hydraulic Database UNSODA V2.0 for Windows. Journal of Hydrology, 251:151-162.
  19. Schaap, M.G., and I. Lebron, 2001. Using Microscope Observations of Thin Sections to Estimate Soil Permeability with the Kozeny-Carman Equation. Journal of Hydrology, 251:186-201.
  20. Lebron I., D.L. Suarez, and M.G. Schaap, 2002. Soil Pore Size and Geometry as a Result of Aggregate-size Distribution and Chemical Composition. Soil Science, 167:165-172.
  21. Raat K.J., G.P.J. Draaijers, M.G. Schaap, A. Tietema, and J.M. Verstraten, 2002.  Spatial Variability of Throughfall Water and Chemistry and Forest Floor Water Content in a Douglas Fir Forest Stand. Hydrology & Earth System Sciences, 6:363-374.
  22. Robinson, D.A., M.G. Schaap, S.B. Jones, S.P. Friedman, and C.M.K. Gardner, 2003.  Considerations for Improving the Accuracy of Permittivity Measurement Using Time Domain Reflectometry. Soil Sci. Soc. Am. J., 67:62-70.
  23. Nemes, A., M.G. Schaap, and J.H.M. Wösten, 2003.  Functional Evaluation of Pedotransfer Functions Derived from Different Scales of Data Collection. Soil Sci. Soc. Am. J., 67:1093-1102.
  24. Schaap, M.G., D.A. Robinson, S.P. Friedman, A. Lazar, 2003.  Measurement and Modeling of TDR Signal Propagation Through Layered Dielectric Media. Soil Sci. Soc. Am. J., 67:1113-1121.
  25. Kelleners, T.J., R.W.O. Soppe, D.A. Robinson, M.G. Schaap,  J.E. Ayars, and T.H. Skaggs,  2004. Calibration of Capacitance Probe Sensors Using Electric Circuit Theory. Soil Sci. Soc. Am. J.,68:430-439.
  26. F.J. Leij, N. Romano, M.G. Schaap, A. Coppola, and M. Palladino, 2004. Topographical Attributes to Predict Soil Hydraulic Properties Along a Hillslope Transect.  Water Resour Res., Vol. 40, No. 2, W02407 10.1029/2002WR001641.
  27. Schaap. M.G., A. Nemes, and M. Th. Van Genuchten, 2004. Comparison of Models for Indirect Estimation of Water Retention and Available Water in Surface Soils. Vadose Zone Journal, 3:1455-1463.
  28. Robinson, D.A., M.G. Schaap, D. Or, and S. B. Jones, 2005. Modeling of ‘Effective Frequency’ of TDR measurements in Dispersive, Non-Conductive Dielectrics. Water Resour Res. Vol. 41 W02007 10.1029/2004WR003816.
  29. Børgesen, C.D., and M.G. Schaap, 2005. Point and Parameter Pedotransfer Functions for Water Retention Predictions for Danish Soils. Geoderma, 127:154-167.
  30. Schaap, M.G.BOOK REVIEW:Percolation Theory for Flow in Porous Media, Soil Sci Soc Am. J., 2006. 70: 1036-a-1037-a.
  31. Schaap, M.G., and M.Th. van Genuchten, 2006. A Modified Mualem-van Genuchten Formulation for Improved Description of the Hydraulic Conductivity Near Saturation, Vadose Zone Journal 5: 27-34.
  32. Børgesen, C.D., O.H. Jacobsen, S. Hansen, M.G. Schaap, 2006. Soil Hydraulic Properties Near Saturation: an Improved Conductivity Model. J. of Hydrol. 324 (1-4): 40-50.
  33. Faust, A.E., P.A. Ferré, M.G. Schaap, A.C. Hinnell, 2006. Can Basin-scale Recharge be Estimated Reasonably with Water Balance Models? Vadose Zone Journal, 5: 850-855.
  34. Ye, M., M.G. Schaap, R. Khaleel, and J. Zhu, 2007. Simulation of Field Injection Experiments in a Layered Formation Using Geostatistical Methods and Artificial Neural Network. Water Resour. Res., 43, W07413, doi:10.1029/2006WR005030).
  35. Schaap, M.G, M.L. Porter, B.S.B. Christensen, and D. Wildenschild, 2007.  Comparison of Pressure-saturation Characteristics Derived from Computed Tomography and Lattice Boltzmann Simulations, Water Resour. Res., 43, W12S06, doi:10.1029/2006WR005730
  36. Huang, H. D.T. Thorne, M.G. Schaap, M.C. Sukop. 2007. A Priori Determination of Contact Angles in Shan-and- Chen-type Multi-component Multiphase Lattice Boltzmann Models. Phys Rev E., 76, 066701.
  37. Borgesen, C.D., B.V. Iversen, O.H. Jacobsen and M.G. Schaap, 2008. Pedotransfer Functions Estimating Soil Hydraulic Properties using Different Soil Parameters. Hydrological Processes, 22(11):1630-1639.
  38. Toth, T., M.G. Schaap., and Z. Molnar, 2008. Utilization of Soil-plant Interrelations Through the use of Multiple Regression and Artificial Neural Network in order to Predict Soil Properties in Hungarian Solonetzic Grasslands. Cereal Research Communications, 36:1447-1450 (Part 3, Suppl. S).
  39. Kelleners, T.J.,  E.S. Ferre-Pikal, M.G. Schaap, G.B. Paige, 2009. Calibration of Hydra Impedance Probes Using Electric Circuit Theory.  Soil Soc. Am. J., 73(2):453-465.
  40. Twarakavi,N.K.C., Jirka Šimůnek and M. G. Schaap, 2009. Development of Pedotransfer Functions for Estimation of Soil Hydraulic Parameters Using Support Vector Machine, Soil Science Society of Am. J., 73(5):1443-1452.
  41. Deng H., M. Ye, M. G. Schaap, R. Khaleel, 2009. Quantification of Uncertainty in Pedotransfer Function-based Parameter Estimation for Unsaturated Flow Modeling, Water Resour. Res., 45, W04409, doi:10.1029/2008WR007477.
  42. Porter, M.L., M.G. Schaap, and D. Wildenschild, 2009. Lattice-Boltzmann Simulations of the Capillary Pressure -Saturation - Interfacial Area Relationship in Porous Media, Advances in Water Resources., 32(11):1632-1640.
  43. Wang T., V. A. Zlotnik, J. Šimůnek, M. G. Schaap, 2009. Using Pedotransfer Functions in Vadose Zone Models for Estimating Groundwater Recharge in Semiarid Regions, Water Resour. Res., 45, W04412, doi:10.1029/2008WR006903.
  44. Twarakavi, N.K.C., Jirka Šimůnek and M. G. Schaap, 2010. Can Texture-based Classification Optimally Classify Soils with Respect to Soil Hydraulic Parameters? Wat. Resour Res., 46, W01501,   doi:10.1029/2009WR007939.Schapp, M.G. and M. Tuller, 2010. Quantitative Pore-Scale Investigations of Multiphase Bio/Geo/Chemical Processes, Vadose Zone Journal, 9(3): 573-575.
  45. Vereecken, H., M. Weynants, M. Javaux, Y. Pachepsky, M.G. Schaap, and M.Th.  van Genuchten, 2010. Using Pedotransfer Functions to Estimate the van Genuchten-Mualem Soil Hydraulic Properties: A Review, Vadose Zone Journal., 9(4):795-820, DOI: 10.2136/vzj2010.0045.
  46. Chorover, J.,  P. Troch, C, Rasmussen, P. Brooks, J. Pelletier, D. Breshears, T. Huxman, K. Lohse, J. McIntosh, T. Meixner, S. Papuga, M.G. Schaap, M. Litvak, J. Perdrial, A. Harpold, M. Durcik, 2011.  Jemez River Basin – Santa Catalina Mountains (JRB-SCM) Critical Zone Observatory:  Probing how water, carbon, and energy drive landscape evolution and surface water response, Vadose Zone Journal (In press, August 4, 2011).

Electronic publications not peer-reviewed (last five years):

  1. Schaap, M.G. (1999-2011). ROSETTA v 1.2 . Software Package to estimate soil hydraulic properties from texture data. Schaap et al., (2001) describe this software in a peer-reviewed article (# 17).  Software can be downloaded  at http://www.cals.arizona.edu/research/rosetta/ 
  2. Schaap, M.G. (1999). UNSODA v2.0.  UNsaturated SOil DAtabase  ia a MS-ACCESS database, downloadable from the word-wide-web .this is a new version of the UNSODA database as described by the Nemes et al. (2001) publication. (http://www.ars.usda.gov/Services/docs.htm?docid=8967).  An updated package will soon be hosted at UA.
  3. Schaap, M.G. (2002) ROSETTA-NRCS v 1.3. Software Package to estimate soil hydraulic properties from texture data, optimized for USDA/NRCS requirements and integration with DRAINMOD.  This package is now obsolete, (www.wsi.nrcs.usda.gov/products/w2q/water_mgt/
    Soil_Hydraulics/Rosetta_NRCS.htm    )
  4. Schaap, M.G. (2008). ROSETTA-DM v 2.0.  Completely revised version of ROSETTA-NRCS (2002) developed under contract from NRCS.  This cross-platform version includes DMROSET code for improved user productivity.  This version is under review by NRCS.
  5. Schaap, M.G. B.S.B. Christensen, M.L. Porter, D. Wildenschild, Linking Experimental Capillary Pressure-Saturation Data with Lattice Boltzmann Simulations. Proceedings of the XVI'th International Conference on Computational Methods in Water Resources (CMWR XVI), June 19-22, 2006, Copenhagen, Denmark. http://proceedings.cmwrxvi.org/contribAuthorDisplay.py?authorId=
    schaap+marcel+mschaap%40ucr.edu&confId=a051
  6. Porter, M.L., M.G. Schaap, and D. Wildenschild, 2006. Dr. Dorthe Wildenschild Dynamic Effects in Oil/Water and Air/Water Capillary Pressure-Saturation Curves: Experiments and Lattice-Boltzmann Simulations. Proceedings of the XV'th International Conference on Computational Methods in Water Resources (CMWR XV), June 19-22, 2006, Copenhagen,Denmark . http://proceedings.cmwr-xvi.org/contributionDisplay.py?contribId=120&sessionId=9&confId=a051