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 language | English (US) |
|---|---|
| Pages (from-to) | 117-126 |
| Number of pages | 10 |
| Journal | Soil and Tillage Research |
| Volume | 49 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - Nov 17 1998 |
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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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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 journal › Article
TY - JOUR
T1 - Use of soil penetration resistance and group method of data handling to improve soil water retention estimates
AU - Pachepsky, Ya
AU - Rawls, W.
AU - Gimenez, Daniel
AU - Watt, J. P.C.
PY - 1998/11/17
Y1 - 1998/11/17
N2 - 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.
AB - 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.
KW - Fractal dimension
KW - Group method of data handling
KW - Pedotransfer function
KW - Penetration resistance
KW - Water retention
UR - http://www.scopus.com/inward/record.url?scp=0001351141&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0001351141&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/S0167-1987(98)00168-8
DO - https://doi.org/10.1016/S0167-1987(98)00168-8
M3 - Article
VL - 49
SP - 117
EP - 126
JO - Soil and Tillage Research
JF - Soil and Tillage Research
SN - 0167-1987
IS - 1-2
ER -