His primary scientific interests are in Soil water, Hydraulic conductivity, Pedotransfer function, Soil science and Water content. His research on Soil water frequently links to adjacent areas such as Artificial neural network. The various areas that Marcel G. Schaap examines in his Hydraulic conductivity study include Database, Geotechnical engineering, Soil texture, Soil properties and Vadose zone.
His studies in Vadose zone integrate themes in fields like Hydraulics and Mean squared error. His Pedotransfer function research is multidisciplinary, relying on both Agricultural engineering, Ecosystem services, Spatial variability and Scale. In the field of Soil science, his study on Water retention overlaps with subjects such as Earth system science.
The scientist’s investigation covers issues in Soil science, Soil water, Pedotransfer function, Water content and Hydrology. His study in Hydraulic conductivity, Vadose zone, Water retention and Soil texture is done as part of Soil science. His Hydraulic conductivity study incorporates themes from Hydraulics and Porosity, Geotechnical engineering.
The concepts of his Soil water study are interwoven with issues in Ensemble forecasting and Dielectric, Permittivity. His Pedotransfer function research incorporates elements of Mean squared error, Soil map, Artificial neural network and Spatial variability. His Water content research is multidisciplinary, incorporating elements of Pressure head, Soil test, Bulk density and Drainage.
His scientific interests lie mostly in Soil science, Pedotransfer function, Soil water, Hydrology and Water retention. His biological study spans a wide range of topics, including Calibration and Inversion. His Pedotransfer function research incorporates themes from Mean squared error, Hydraulic conductivity, Vadose zone and Spatial variability.
His research in Hydraulic conductivity intersects with topics in Pearson product-moment correlation coefficient, Available water capacity, Field capacity and Statistical model. Marcel G. Schaap has researched Spatial variability in several fields, including Hydrology and Key. Marcel G. Schaap combines subjects such as Ensemble forecasting and Probabilistic logic with his study of Soil water.
Marcel G. Schaap mainly focuses on Pedotransfer function, Soil science, Soil water, Hydraulic conductivity and Water retention. His Pedotransfer function study integrates concerns from other disciplines, such as Mean squared error, Field capacity, Water content, Vadose zone and Hydraulic head. The study incorporates disciplines such as Pressure head and Resolution in addition to Water content.
His research on Soil science often connects related topics like Ecosystem services. His study in Soil water is interdisciplinary in nature, drawing from both Agricultural engineering, Spatial variability, Process and Scale. He integrates many fields in his works, including Hydraulic conductivity and Scale.
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rosetta: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions
Marcel G. Schaap;Feike J. Leij;Martinus Th. van Genuchten.
Journal of Hydrology (2001)
Neural network analysis for hierarchical prediction of soil hydraulic properties
Marcel G. Schaap;Feike J. Leij;Martinus Th. van Genuchten.
Soil Science Society of America Journal (1998)
Database-related accuracy and uncertainty of pedotransfer functions
Marcel G. Schaap;Feike J. Leij.
Soil Science (1998)
Improved Prediction of Unsaturated Hydraulic Conductivity with the Mualem-van Genuchten Model
Marcel G. Schaap;Feike J. Leij.
Soil Science Society of America Journal (2000)
Using pedotransfer functions to estimate the van Genuchten-Mualem Soil Hydraulic Properties: a review.
Harry Vereecken;Mélanie Weynants;Mathieu Javaux;Mathieu Javaux;Y. Pachepsky.
Vadose Zone Journal (2010)
Description of the unsaturated soil hydraulic database UNSODA version 2.0
A Nemes;M.G Schaap;F.J Leij;J.H.M Wösten.
Journal of Hydrology (2001)
Modeling water retention curves of sandy soils using neural networks
Marcel G. Schaap;Marcel G. Schaap;Willem Bouten.
Water Resources Research (1996)
Proposed approximation for contact angles in Shan-and-Chen-type multicomponent multiphase lattice Boltzmann models.
Haibo Huang;Daniel T. Thorne;Marcel G. Schaap;Michael C. Sukop.
Physical Review E (2007)
Using neural networks to predict soil water retention and soil hydraulic conductivity
Marcel G Schaap;Feike J Leij.
Soil & Tillage Research (1998)
Pedotransfer functions in Earth system science: challenges and perspectives
Kris Van Looy;Johan Bouma;Michael Herbst;John Koestel.
Reviews of Geophysics (2017)
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