Multielement geochemistry anomaly recognition method in complex background area of large area
An anomaly identification and geochemical technology, applied in the fields of mineral exploration, geochemistry, and geology, can solve problems such as not considering the contribution weight of each element, and achieve the effect of improving work efficiency, positioning accuracy, and accurate focusing
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example 1
[0090] The technical scheme of the present invention will be explained below by taking the multi-element geochemical anomaly identification using the 1:200,000 water system sediment geochemical measurement data in the mantle plume distribution area of Mount Emei as an example.
[0091] The geochemical measurement scale of the river sediments used in this example is 1:200000, and a 2km×2km grid is used for sampling, and a total of 167178 sample points are involved in the calculation.
[0092] First, data preprocessing was performed on the geochemical measurement data of 1:200,000 water system sediments obtained from the area measurement of the study area, and the spatial coordinates of each sample point were associated with the test results. The coordinates in this example are planar Cartesian coordinates in kilometers. But the present invention is not limited thereto, and those skilled in the art can select the coordinate format according to needs.
[0093] In order to sear...
example 2
[0109] Different from Example 1, this example takes the local anomaly of elements at the sample point as the local anomaly, calculates the multi-element geochemically weighted anomaly and draws it.
[0110] As in Example 1, the median of the element content of each sample point within the neighborhood of each sample point is used as the local background value of the sample point element.
[0111] Subsequently, the element local residual anomaly LocalA of each sample point is calculated point by point n .
[0112] Local remaining exception: LocalA n =V En -LocalBK n ; n=Cu, Au, Mo, Pb, Zn, Ag; where V En is the content of element n in this sample point.
[0113] The local residual anomalies are normalized for the computed local residual anomaly calculation elements respectively. In this example, for the local residual exception LocalA n The normalization method is used for standardization, that is,
[0114] SLocalA n =(LocalA n -min n ) / (max n -min n ),
[0115] A...
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