Conversion of Different Soil Texture Triangle Based on Fractal Theory

  • State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Geography, Beijing Normal University, Beijing 100875, China

Received date: 2010-12-29

  Revised date: 2011-04-21

  Online published: 1997-10-20


The soil texture is one of the most important indicators to reflect soil physical properties.It is the key input to many models,just as calculating the Erodibility K of the RUSLE and Pedo-Transfer Functions,which needs the soil texture of USA textural triangle.However,despite a number of recognized international stan-dards,soil data are rarely compatible across national frontiers.Therefore,interpolation of the soil texture in dif-ferent textural triangle is very necessary.Researches have shown that the soil has the fractal characteristic.In this study a fractal model is used for solving conversion of different soil texture triangle.For testing the stabili-ty and accuracy of the fractal model,60 soil samples with different profiles and land-use were taken at South-ern Loess Plateau.At first,0.02mm particle data,0.005mm particle data and omitting 0.02mm and 0.005mm particle data were omitted at the same time.Then the omitted particle data was predicted by the fractal model.The results indicate that the predicted particle-size data and the number of known particle-size data have little influence to the accuracy of the fractal model between the 0.002~0.1mm soil fractions;it is demonstrate that the model is much better for predicting the particle-size data than Logistic growth model,WEIBULL model and Log-normal distribution model,the accuracy of the fractal model is satisfying and there are no significant errors about the predicted particle-size data.The fractal model can be used for conversion of different soil tex-ture triangle.More studies should be carried out.

Cite this article

GUO Zhong-ling, ZHANG Ke-li, DONG Jian-zhi, WANG Ying, LIU Hong-yuan, WANG Wei . Conversion of Different Soil Texture Triangle Based on Fractal Theory[J]. SCIENTIA GEOGRAPHICA SINICA, 2011 , 31(10) : 1254 -1260 . DOI: 10.13249/j.cnki.sgs.2011.010.1254


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