Estimating Spatial Distribution of Heavy Metals in Soil
2002
Hochschulschrift
Zugriff:
90
By combination of the semi-variogram of Kriging Method with Fuzzy theory, in order to set up a Membership Function, and the new spatial interpolation method was named Fuzzy Estimate. It has a clear principle, simple in structure, provides more flex adjusted with more reasonable physics phenomenon. By applying this new interpolation method, the spatial distribution of heavy metal in soil can be predicted more precisely. By comparison Fuzzy Estimate with the ordinary Kriging Method, Radial Basis Function(RBF) and the other three traditional spatial interpolation Methods. Such as the Inverse Distance Weighted(IDW), Global Polynomial Interpolation(GPI),Local Polynomial Interpolation (LPI).To evaluate each method’s capability and its risk in estimation spatial distribution of heavy metals in soil, 437 samples of Chang-Hwa were selected. The results indicate that RBF Method has the most accuracy in this experiment. Kriging and Fuzzy estimation are in the second place. IDW is third. While, both GPI and LPI are not suitable for application to estimate of spatial distribution of heavy metals in soil.
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Estimating Spatial Distribution of Heavy Metals in Soil
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Autor/in / Beteiligte Person: | Cheng, Bai-You ; 鄭百佑 |
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Veröffentlichung: | 2002 |
Medientyp: | Hochschulschrift |
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