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基于土壤质地数据估算土壤保水性能Van Genuchten参数
作者姓名:B. GHANBARIAN-ALAVIJEH  A. LIAGHAT  HUANG Guan-Hu  M. Th. VAN GENUCHTEN
作者单位:[1]Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj 31587-77871 (Iran) [2]Department of Earth and Environmental Sciences, Wright State University, Dayton, OH 45435 (USA) [3]Department of Irrigation and Drainage Engineering, China Agricultural University, Beijing 100083 (China) [4]Department of Mechanical Engineering, Federal University of Rio de Janeiro, RJ 21945-970 (Brazil)
基金项目:*1Supported by the National Natural Science Foundation of China (Nos.50979106 and 50779067).
摘    要:The van Genuchten (vG) function is often used to describe the soil water retention curve (SWRC) of unsaturated soils and fractured rock. The objective of this study was to develop a method to determine the vG model parameter m from the fractal dimension. We compared two approaches previously proposed by van Genuchten and Lenhard et al. for estimating m from the pore size distribution index of the Brooks and Corey (BC) model. In both approaches we used a relationship between the pore size distribution index of the BC model and the fractal dimension of the SWRC. A dataset containing 75 samples from the UNSODA unsaturated soil hydraulic database was used to evaluate the two approaches. The statistical parameters showed that the approach by Lenhard et al. provided better estimates of the parameter m. Another dataset containing 72 samples from the literature was used to validate Lenhard’s approach in which the SWRC fractal dimension was estimated from the clay content. The estimated SWRC of the second dataset was compared with those obtained with the Rosetta model using sand, silt, and clay contents. Root mean square error values of the proposed fractal approach and Rosetta were 0.081 and 0.136, respectively, indicating that the proposed fractal approach performed better than the Rosetta model.

关 键 词:土壤质地  Van  数据估算  持水性能  非饱和土壤  模型参数  分形维数  粘土含量
收稿时间:29 December 2009

Estimation of the van Genuchten soil water retention properties from soil textural data
B. GHANBARIAN-ALAVIJEH,A. LIAGHAT,HUANG Guan-Hu,M. Th. VAN GENUCHTEN.Estimation of the van Genuchten soil water retention properties from soil textural data[J].Pedosphere,2010,20(4):456-465.
Authors:B GHANBARIAN-ALAVIJEH  A LIAGHAT  HUANG Guan-Hua and M Th VAN GENUCHTEN
Institution:Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj 31587-77871 (Iran) ;Department of Earth and Environmental Sciences, Wright State University, Dayton, OH 45435 (USA);Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj 31587-77871 (Iran);Department of Irrigation and Drainage Engineering, China Agricultural University, Beijing 100083 (China);Department of Mechanical Engineering, Federal University of Rio de Janeiro, RJ 21945-970 (Brazil)
Abstract:The van Genuchten (vG) function is often used to describe the soil water retention curve (SWRC) of unsaturated soils and fractured rock. The objective of this study was to develop a method to determine the vG model parameter m from the fractal dimension. We compared two approaches previously proposed by van Genuchten and Lenhard et al. for estimating m from the pore size distribution index of the Brooks and Corey (BC) model. In both approaches we used a relationship between the pore size distribution index of the BC model and the fractal dimension of the SWRC. A dataset containing 75 samples from the UNSODA unsaturated soil hydraulic database was used to evaluate the two approaches. The statistical parameters showed that the approach by Lenhard et al. provided better estimates of the parameter m. Another dataset containing 72 samples from the literature was used to validate Lenhard's approach in which the SWRC fractal dimension was estimated from the clay content. The estimated SWRC of the second dataset was compared with those obtained with the Rosetta model using sand, silt, and clay contents. Root mean square error values of the proposed fractal approach and Rosetta were 0.081 and 0.136, respectively, indicating that the proposed fractal approach performed better than the Rosetta model.
Keywords:fractal dimension  soil water retention curve  van Genuchten parameterization
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