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Spatial Variability of Soil Physical Properties Based on GIS and Geo-Statistical Methods in the Red Beds of the Nanxiong Basin, China

机译:基于GIS和地理统计方法的土壤物理特性的空间变异性,南雄盆地红床

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摘要

Spatial variability of soil has an important influence on the structure and function of soil. The spatial distribution of soil physical properties provides basic and useful information relevant to soil management and ecological protection. A typical red beds basin was selected for this study, soil samples at 0-20 cm were taken from 150 locations in the northeast part of Nanxiong Basin, in which GIS and geostatistics were used to analyze the spatial variability of the soil physical properties. The results show that the coefficients of variation of soil bulk density, total porosity and capillary porosity are 9.82%, 4.47%, and 3.72%, respectively, which indicate weak variation. Pearson correlation indicated that soil bulk density was significantly positively correlated with soil moisture and capillary water capacity (p0.01), with correlation coefficients of 0.85 and 0.91, respectively, but was significantly negatively correlated with total porosity, capillary porosity and non-capillary porosity, with correlation coefficients of 0.82, 0.71 and 0.94, respectively (p0.01). The spatial distributions of soil physical properties using ordinary kriging (OK) and empirical bayesian kriging (EBK) methods were subjected to comparative analysis. In addition, different cross-validation indicators were applied to assess the performance of different interpolation methods. Cross-validation demonstrated that EBK performed better than OK. And EBK produced smaller regions of predicted soil physical properties than OK, highlighting the necessity of choosing the appropriate methods in studying the spatial distribution of soil properties.
机译:土壤的空间变异对土壤的结构和功能有重要影响。土壤物理性质的空间分布提供与土壤管理和生态保护相关的基本和有用的信息。选择了典型的红床盆地用于本研究,在南兴盆地东北部的150个位置采用0-20厘米的土壤样品,其中GIS和地质学用于分析土壤物理性质的空间变异性。结果表明,土壤堆积密度,总孔隙率和毛细血管孔隙率的变异系数分别为9.82%,4.47%和3.72%,表明变异薄弱。 Pearson相关表明,土壤堆积密度与土壤水分和毛细管水容量显着呈正相关(P <0.01),分别具有0.85和0.91的相关系数,但与总孔隙,毛细血管孔隙率和非毛细孔孔隙显着呈负相关,相关系数分别为0.82,0.71和0.94(P <0.01)。使用普通克里格汀(OK)和经验贝叶斯克里格(EBK)方法的土壤物理性质的空间分布进行比较分析。此外,应用了不同的交叉验证指标以评估不同插值方法的性能。交叉验证表明EBK比OK更好。并且EBK产生的预测土壤物理性质的较小区域比OK,突出了选择采取适当方法研究土壤性质的空间分布的必要性。

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