Simple predictive models for saturated hydraulic conductivity of technosands

Emmanuel Arthur, Fatemeh Razzaghi, Per Moldrup, Markus Tuller, Ty P.A. Ferré, Lis Wollesen De Jonge

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Accurate estimation of saturated hydraulic conductivity (K s) of technosands (gravel-free, coarse sands with negligible organic matter content) is important for irrigation and drainage management of athletic fields and golf courses. In this study, we developed two simple models for predicting Ks of technosands based on either (i) the classic Kozeny-Carman (K-C) model modified by considering the content of finer particles (fines) less than 200 μm to estimate an immobile water fraction or (ii) the Revil-Cathles (R-C) model modified by using the characteristic particle diameter from the Rosin-Rammler particle size distribution (PSD) function. The Ks and PSD data of 14 golf course sands from literature as well as newly measured data for a size fraction of Lunar Regolith Simulant, packed at three different dry bulk densities, were used for model evaluation. The pore network tortuosity-connectivity parameter (m) obtained for pure coarse sand after fitting to measured Ks data was 1.68 for both models and in good agreement with m values obtained from recent solute and gas diffusion studies. Both the modified K-C and R-C models are easy to use and require limited parameter input, and both models gave comparable accuracy as more complex Ks models. The models are therefore recommended for preliminary assessment and design of technosand layers, for example, with regard to selecting sand PSD for optimal hydrological performance at athletic fields or golf courses.

Original languageEnglish (US)
Pages (from-to)153-157
Number of pages5
JournalSoil Science
Volume177
Issue number3
DOIs
StatePublished - Mar 1 2012

Keywords

  • Kozeny-Carman
  • Particle size distribution
  • Revil-Cathles
  • Rosin-Rammler
  • fines
  • golf course sands

ASJC Scopus subject areas

  • Soil Science

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