Scaling analysis of soil water retention parameters and physical properties of a Chinese agricultural soil

被引:10
|
作者
Wang, Zhenying [1 ,2 ]
Shu, Qiaosheng [3 ]
Liu, Zuoxin [1 ]
Si, Bingcheng [4 ]
机构
[1] Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
[2] Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China
[3] Liaoning Inst Soil & Water Conservat, Chaoyang 122000, Peoples R China
[4] Univ Saskatchewan, Dept Soil Sci, Saskatoon, SK S7N 5A8, Canada
来源
AUSTRALIAN JOURNAL OF SOIL RESEARCH | 2009年 / 47卷 / 08期
关键词
soil water retention parameters; soil physical properties; multifractal analysis; spatial variability; SATURATED HYDRAULIC CONDUCTIVITY; PARTICLE-SIZE DISTRIBUTIONS; SPATIAL VARIABILITY; MULTIFRACTAL ANALYSIS; TOPOGRAPHIC INDEXES; TIME-SERIES; CROP YIELD;
D O I
10.1071/SR09036
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Measurement scale of soil water retention parameters is often different from the application scale. Knowledge of scaling property of soil hydraulic parameters is important because scaling allows information to be transferred from one scale to another. The objective of this study is to examine whether these parameters have fractal scaling properties in a cultivated agricultural soil in China. Undisturbed soil samples (128) were collected from a 640-m transect at Fuxin, China. Soil water retention curve and soil physical properties were measured from each sample, and residual water content (theta(r)), saturated soil water content (theta(s)), and parameters alpha(vG) and n of the van Genuchten water retention function were determined by curve-fitting. In addition, multiple scale variability was evaluated through multifractal analyses. Mass probability distribution of all properties was related to the support scale in a power law manner. Some properties such as sand content, silt content, theta(s), and n had mono-fractal scaling behaviour, indicating that, whether for high or low data values, they can be upscaled from small-scale measurements to large-scale applications using the measured data. The spatial distribution of organic carbon content had typically multifractal scaling property, and other properties - clay content, theta(r), and alpha(vG) - showed a weakly multifractal distribution. The upscaling or downscaling of multifractal distribution was more complex than that of monofractal distribution. It also suggested that distinguishing mono-fractals and multifractals is important for understanding the underlying processes, for simulation and for spatial interpolation of soil water retention characteristics and physical properties.
引用
收藏
页码:821 / 827
页数:7
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