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Spatial Variability of Soil Nutrient in Chongming of Shanghai, China by Using GIS and Kriging Method

机译:中国上海崇明土壤养分的空间变异性,CIS和Kriging方法

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The spatial distributions and variability of the main nutrients in the topsoil of Chongming island of China are explored by using geostatistics combining with GIS. The multi-scale model is used to analyze the spatial pattern of soil nutrient factors based on the principle of Minimum Nugget Effect to ensure the stability of the interpolation model with the high interpolating accuracy. The result shows that AK and CEC distributed with a moderate variance while AN, TN, AP and OM with strong variance. CEC has an insignificant autocorrelation, contrasting to the significant autocorrelation of TN. Multi-scaled model can harmonize the dilemma of global generalization and local accuracy; the maps of soil nutrients can illustrate the distribution of them in the continuity of the soil surface. The coefficients of soil fertility calculated based on the spatial analysis indicate that the anisotropism of these factors were affected by the soil salinity to different extent.
机译:通过使用GIS结合的地质学习,探讨了中国崇明岛东岛的表土的主要营养素的空间分布和变异性。多尺度模型用于根据最小核对效应的原理分析土壤养分因子的空间模式,以确保插值模型具有高插入精度的插值模型的稳定性。结果表明AK和CEC以中等方差分布,而TN,AP和OM具有强大方差。 CEC具有微不足道的自相关,与TN的显着自相关性对比。多级模型可以协调全球泛化和局部精度的困境;土壤养分地图可以说明在土壤表面的连续性中的分布。基于空间分析计算的土壤肥力系数表明,这些因素的各向异性受土壤盐度对不同程度的影响。

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