Application of Artificial Neural Networks for Developing Pedotransfer Functions of Soil Hydraulic Parameters

  1. Dennis L. Corwin,
  2. Keith Loague and
  3. Timothy R. Ellsworth
  1. J. H. M. WöSten1 and
  2. S. Tamari2

Published Online: 18 MAR 2013

DOI: 10.1029/GM108p0235

Assessment of Non-Point Source Pollution in the Vadose Zone

Assessment of Non-Point Source Pollution in the Vadose Zone

How to Cite

WöSten, J. H. M. and Tamari, S. (1999) Application of Artificial Neural Networks for Developing Pedotransfer Functions of Soil Hydraulic Parameters, in Assessment of Non-Point Source Pollution in the Vadose Zone (eds D. L. Corwin, K. Loague and T. R. Ellsworth), American Geophysical Union, Washington, D. C.. doi: 10.1029/GM108p0235

Author Information

  1. 1

    DLO Winand Staring Centre for Integrated Land, Soil and Water Research, 6700 AC Wageningen, the Netherlands

  2. 2

    Instituto Mexicano de Tecnologia del Agua, Jiutepec, Mor., Mexico

Publication History

  1. Published Online: 18 MAR 2013
  2. Published Print: 1 JAN 1999

ISBN Information

Print ISBN: 9780875900919

Online ISBN: 9781118664698

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Keywords:

  • Groundwater—Pollution—Computer Simulation;
  • Nonpoint source pollution—Computer Simulation;
  • Zone of aeration—Computer Simulation

Summary

This chapter contains sections titled:

  • Introduction

  • Methods And Materials

  • Results

  • Discussion