Study On Data Mining Of The Second Nationwide General Soil Survey Based On Cartography Of Soil Taxonomy

During the Second Nationwide General Soil Survey(SNGSS),a large amount of soil information has been accumulated.These information is based on the Genetic Soil Classification(GSC).At present,the Soil Taxonomy(ST)based on the diagnosis horizons and characteristics are used in the international soil academic research.The second nationwide general soil survey information is difficult to communicate with international scholars,there is important research significance how to fully and rationally convert and use the second nationwide general soil survey information.This study takes Jiangxi Province as the research object,on the one hand.Through the excavation of information about SNGSS and constructs the transformation model to form the SNGSS details based on the ST.On the other hand,the typical soil types of Jiangxi Province were investigated by field excavation and sampling in the field.Finally,the SoLIM software was used to model the typical soil types.The following conclusions were drawn from the evaluation of the drawing accuracy:1,Screened out the SNGSS information can be used for cartography of soil taxonomy about Jiangxi province.In this paper,I divide the two general information in the 30-year time domain into: stability factors,covariance factors and stochastic factors: stability factor,covariance factor and stochastic factor.The seven types of factors,such as parent material,large terrain,texture,bulk density,special soil layer,profile configuration and soil hue,were selected as the stabilization factors.The factors such as organic matter,CEC,pH,free iron and salt saturation were used in the model transformation.The soil boundary of the fertile paddy soil,the new soil,the coarse soil and the rocky soil boundary,the yellow soil,the yellow brown soil,the dark yellow brown soil and the mountain meadow soil boundary were selected as the hydroponic soil,the calculus,The boundary of the carbonate parent material and the calcareous purple soil,the lime soil and the gray tide soil boundary together as the boundary defining the calculus,the boundary of the soil,the soil and the soil,Class and subclass distribution.2.The model conversion system was applied to the system classification of soil mapping.In the ST,the texture of soil texture is strict,and the texture data based on the former Soviet Union system and international classification standard can be directly applied to the ST.The organic matter and the pH value are modeled according to the group of GSC.The CEC transformation model is: Y = 0.856 x + 2.368;the free iron transformation model is: Y = 0.905 x + 3.478;The boundary of the paddy soil,the new soil,the soil of the coarse soil and the rocky soil,the boundary between the carbonate parent and the calcareous purple soil,the lime soil and the gray soil,the yellow soil,the yellow brown soil,the dark yellow brown Soil and mountain meadow soil were extracted as a comprehensive reference for cartography.3,The SNGSS information can improve the cartography accuracy of soil taxonomy.Compared with the Kappa coefficient of different classification levels,the Kappa coefficient showed a decreasing trend as the classification level decreased,and the two mapping methods showed the same decreasing trend.By comparing the Kappa coefficients of the two mapping methods,The Kappa coefficient of the soil map is increased by 0.294,0.281 in the subclass level,0.311 in the soil class,and increasing at the subclass level,compared with the soil map of the generalized soil.The Kappa coefficient of the soil map is less than 0.5,and the value of the Kappa coefficient is not more than 0.5,and the soil map of the non-fused two general information is less than 0.5 at different classification levels,The soil mapping method after information has higher mapping precision,and also indicates that the SNGSS information have important reference value for cartography of soil taxonomy.