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通过对31个土壤样品的测定,研究了不同质地耕层土壤颗粒表面的分形维数(D),结果表明D介于2.7060~2.9968之间,并且同一质地类型的土壤分形维数D差异不大,但有随土壤质地由紧砂土、砂壤土、轻壤土、中壤土、重壤土到轻粘土,分形维数D呈递增趋势。统计分析结果表明:土壤颗粒表面的分形维数D与10个粒级颗粒含量之间存在极显著的线性回归关系;4个粒级对分形维数D的直接贡献由大到小依次为:粘粒>细粉>粗粉>中粉,无论哪一个粒级的颗粒含量增加,通过其它三个粒级的颗粒含量的间接效应都将使分形维数D增大;土壤有机质、土壤阳离子交换量分别与D有极显著正相关,可以用O M=-229.1113+86.5400D和CEC=-84.6456+32.1086D的直线回归方程来描述它们间的数量关系。
Through the determination of 31 soil samples, the fractal dimension (D) of soil particle surface in different texture tillage was studied. The results showed that D was between 2.7060 and 2.9968, and the difference of soil fractal dimension D of the same texture type was not significant , But with the soil texture from tight sand, sandy loam, light loam, middle loam, heavy loam to light clay, the fractal dimension D showed an increasing trend. The results of statistical analysis show that there is a significant linear regression relationship between the fractal dimension D of soil particles and the content of 10 grain fractions. The direct contribution of the four grain fractions to the fractal dimension D is: sticky Grain> fine powder> coarse powder> medium powder, the fractal dimension D will be increased through the indirect effect of the grain content of the other three grain sizes, no matter which grain size increases. The soil organic matter, soil cation exchange capacity There is a significant positive correlation between D and D respectively. The linear regression equation of OM = -229.1113 + 86.5400D and CEC = -84.6456 + 32.1086D can be used to describe the quantitative relationship between them.