Study on SOC Forecast Model in Regions of Hilly Purple Soil by Water Erosion

Tian Guo; Bing Hui He; Jing Jing Chen

doi:10.4028/www.scientific.net/AMR.391-392.982

Paper Titles

Preparation of the AC/TiO₂ Composite Particles in Normal Temperature and Degradation of TNT
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Adsorption of Pb²⁺ in Wastewater Using Adsorbent Derived from Grapefruit Peel
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Li(Ni_1/3Co_1/3Mn_1/3)O₂ with High Rate Capability Synthesized via a Novel Gel-Combustion Method
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Properties of LiNi_0.5Mn_1.5O₄ /Li Cell in Ionic Liquid Electrolyte Based on N-methyl-N-propylpiperidinium Bis(trifluoromethanesulfonyl)imide
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Study on SOC Forecast Model in Regions of Hilly Purple Soil by Water Erosion
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Microwave and Conventional Hydrothermal Synthesis of TiO₂ Nanoparticles and their Photocatalytic Activities
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Effect of Sr Addition on the Microstructure of Mg-6Zn-2Al-2Ca Alloy
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A Study of the Adsorption and Diffusion Behavior of a Single Polydimethylsiloxane Chain on a Silicon Surface by Molecular Dynamics Simulation
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Isolation and Characteristic of Chondroitin Sulfate from Grass Carp Scales
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Study on SOC Forecast Model in Regions of Hilly Purple Soil by Water Erosion

Abstract:

The soil productive forces are mainly affected by soil erosion as soil nutrients and organic carbon are taken away. On the premise of analysis of the last 17 years’ data of rainfalls and vegetation coverage in Xiejiawan small watershed, the grey model was established to forecast and evaluate the losses of organic carbon caused by water erosion in the hilly area of purple soils. Moreover, according to comparison of four-dimensional, five-dimensional and six-dimensional model groups, we found that, six-dimensional GM (1,1) model was the best one, posterior-variance-test accuracy of which amounted to the first class, and maximum simulated relative error ,average simulated relative error and predicted relative error of which were respectively 43.26 % ,16.85% and -17.09%, besides, its simulation and prediction accuracy was also high. Furthermore, the accuracy of simulated forecast value was all satisfactory. So the SOC loss by water erosion in purple areas of Xiejiawan small watershed was simulated and predicted well by grey model, also the unique evolution patterns of changing organic carbon in purple soil by water erosion could be well described and explained by the grey model.