Spatial variability layout plan generation method of heavy metal content in reclamation land soil
A technology of spatial variation and heavy metals, applied in soil material testing, special data processing applications, instruments, etc., can solve problems such as the influence of prediction results accuracy, the discount of prediction results accuracy, and the ambiguity of discussion.
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Embodiment 1
[0056] Embodiment 1: as figure 1 As shown, this implementation includes the following steps:
[0057] The first step is to obtain the content of heavy metal arsenic in the soil samples of the sampling points of the reclamation land in Chongming Island, Shanghai;
[0058] The second step is to perform data preprocessing on the heavy metal element content values in the soil samples at the sampling points, and obtain the quasi-interpolation sub-samples of each soil heavy metal element respectively.
[0059] The data preprocessing refers to:
[0060] 2.1) Through the calculation and inspection of the skewed kurtosis of the content of heavy metal elements, check whether it meets the standard normal distribution condition H 0 , when it meets the standard normal distribution condition H 0 , proceed to the third step; otherwise, proceed to step 2.2.
[0061] The said standard normal distribution condition H 0 Refers to: the third moment of the content of heavy metal elements (g...
Embodiment 2
[0093] Embodiment 2: as figure 1 As shown, this embodiment includes the following steps:
[0094] The first step is to obtain the content of heavy metal copper in the soil samples of the sampling points of the reclamation land in the Chongming Island area of Shanghai;
[0095] The second step, data preprocessing: the skew kurtosis test was carried out on the data of heavy metal copper in the soil samples of the sampling points. The test result is α=0.01 level, indicating that the standard normal distribution assumption is rejected, and then logarithmic transformation is performed on the data of the soil samples at the sampling points. After the transformation, the test is carried out, and the result still does not obey the normal distribution, and then the logarithmic transformation is performed twice, and the quasi-interpolation data is obtained after transformation.
[0096] The third step, exploratory spatial data analysis: by calculating the semivariogram between two p...
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