solute transport processes are affected by soil pore water velocity distribution. pore size distribution, which can be used to infer pore water velocity distribution, can be estimated from a soil water retention curve (n). in this study, a solute breakthrough curve was simulated using soil hydraulic parameters in four different soils. to evaluate the proposed model, predictions were compared to...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...

Clinical Software Engineering, GE Medical Systems, Hungary [1] Computer Vision, Graphics and Pattern Recognition Group, University of Mannheim, Germany [2] Corporate Technology PS 9, Siemens AG, Munich, Germany Department of Computer Science, The Graduate Center, City University of New York, USA [3] Department of Matematics and Informatics, University of Siena, Italy [4] Department of Nuclear M...