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Geostatistical analysis of soil properties of mid-west Taiwan soils.

机译:台湾中西部土壤性质的地统计分析。

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Kriging and cokriging methods were applied to estimate the spatial distribution of soil properties from available large-scale survey data of Taiwan. The data were derived from soils in a 10-km2 area divided into 250 m X 250 m node intervals. The soil properties examined included the extractable P, Ca, Mg, and Fe contents, the sum of exchangeable bases (SEB), %sand, %silt, and %clay. The sum of exchangeable bases and particle-size distribution were regarded as the primary and auxiliary variables, respectively, in the cokriging procedure. The ratio of nugget to total variation was ?7 to 80%, indicating that the spatial correlation of the tested soil properties at the large scale was moderately (cross-)dependent. The estimated spatial distributionsof the soil properties by kriging, under decreasing sampling densities, all correlated significantly (P<0.1%) with those obtained from original data. Furthermore, with the over-sampled particle-size distribution, the overall estimation of SEB quality bycokriging was superior to that by kriging. The results suggested that by kriging and cokriging, the existing sampling density could be decreased under the large-scale sampling interval by nearly half and that sufficient spatial information about the soilproperties could still be retained. The information obtained could be used to improve the long-term sampling designs of soil surveys in Taiwan. It also may be useful for identifying the appropriate sampling densities for these scales of soil surveys.
机译:利用克里格法和协同克里格法从台湾现有的大规模调查数据中估算土壤特性的空间分布。数据来自10 km2区域中的土壤,分为250 m X 250 m节点间隔。检查的土壤性质包括可提取的P,Ca,Mg和Fe含量,可交换碱(SEB)的总和,%砂,%淤泥和%粘土。在协同克里金法中,可交换碱的总和和粒度分布分别被视为主要变量和辅助变量。块金与总变化的比率为?7至80%,表明在大范围内,测试土壤性质的空间相关性具有中等(交叉)依赖性。在降低的采样密度下,通过克里金法估算的土壤特性的空间分布都与原始数据显着相关(P <0.1%)。此外,对于超采样的粒度分布,通过协同克里格法进行的SEB质量总体评估要优于通过克里金法进行的SEB质量评估。结果表明,通过克里格法和共克里格法,可以在大范围采样间隔内将现有采样密度降低近一半,并且仍可以保留有关土壤性质的足够空间信息。所获得的信息可用于改进台湾土壤调查的长期抽样设计。对于这些规模的土壤调查,确定合适的采样密度也可能有用。

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