Use of soil penetration resistance and group method of data handling to improve soil water retention estimates

Ya Pachepsky, W. Rawls, Daniel Gimenez, J. P.C. Watt

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

The accuracy of pedotransfer functions can be improved using more flexible equations and additional input variables. Penetration resistance as a parameter related to soil structure can be a useful additional input to pedotransfer functions. Our objectives were to see whether using penetration resistance can improve the accuracy of estimating water retention from soil composition and bulk density. To develop pedotransfer functions, we applied group method of data handling (GMDH) resulting in hierarchical polynomial regression networks or abductive networks. The advantage of GMDH is that it automates finding essential input variables to be included in pedotransfer functions and, unlike the artificial neural networks (ANN), presents an explicit form of the equations. We developed pedotransfer functions from data on texture, bulk density, penetration resistance, and water content at 0, -5, -10, -20, -100 and -1500 kPa in 180 samples of soils in New Zealand. Abductive networks were used to estimate water content at particular matrix potentials. The water content at -1500 kPa and the penetration resistance were the essential variables to include in pedotransfer functions along with bulk density and texture. The pore volume fractal dimension could be reliably estimated from the water content at -1500 kPa and penetration resistance. The variation coefficient rather than average value of penetration resistance was found to be a good predictor in some cases.

Original languageEnglish (US)
Pages (from-to)117-126
Number of pages10
JournalSoil and Tillage Research
Volume49
Issue number1-2
DOIs
StatePublished - Nov 17 1998

Fingerprint

soil penetration resistance
pedotransfer function
pedotransfer functions
soil water retention
resistance to penetration
water retention
penetration
soil water
water content
bulk density
soil
texture
methodology
fractal dimensions
soil structure
artificial neural network
neural networks
method
soil sampling
matrix

All Science Journal Classification (ASJC) codes

  • Earth-Surface Processes
  • Agronomy and Crop Science
  • Soil Science

Keywords

  • Fractal dimension
  • Group method of data handling
  • Pedotransfer function
  • Penetration resistance
  • Water retention

Cite this

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abstract = "The accuracy of pedotransfer functions can be improved using more flexible equations and additional input variables. Penetration resistance as a parameter related to soil structure can be a useful additional input to pedotransfer functions. Our objectives were to see whether using penetration resistance can improve the accuracy of estimating water retention from soil composition and bulk density. To develop pedotransfer functions, we applied group method of data handling (GMDH) resulting in hierarchical polynomial regression networks or abductive networks. The advantage of GMDH is that it automates finding essential input variables to be included in pedotransfer functions and, unlike the artificial neural networks (ANN), presents an explicit form of the equations. We developed pedotransfer functions from data on texture, bulk density, penetration resistance, and water content at 0, -5, -10, -20, -100 and -1500 kPa in 180 samples of soils in New Zealand. Abductive networks were used to estimate water content at particular matrix potentials. The water content at -1500 kPa and the penetration resistance were the essential variables to include in pedotransfer functions along with bulk density and texture. The pore volume fractal dimension could be reliably estimated from the water content at -1500 kPa and penetration resistance. The variation coefficient rather than average value of penetration resistance was found to be a good predictor in some cases.",
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Use of soil penetration resistance and group method of data handling to improve soil water retention estimates. / Pachepsky, Ya; Rawls, W.; Gimenez, Daniel; Watt, J. P.C.

In: Soil and Tillage Research, Vol. 49, No. 1-2, 17.11.1998, p. 117-126.

Research output: Contribution to journalArticle

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