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Aqueous sediment geochemical anomaly mapping method based on BME-GWR

A BME-GWR, water system sediment technology, applied in the field of image processing, can solve problems such as unsatisfactory results

Active Publication Date: 2021-09-17
河北地质大学
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Traditional anomaly identification methods only rely on geochemical data for anomaly identification, and often fail to obtain satisfactory results

Method used

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  • Aqueous sediment geochemical anomaly mapping method based on BME-GWR
  • Aqueous sediment geochemical anomaly mapping method based on BME-GWR
  • Aqueous sediment geochemical anomaly mapping method based on BME-GWR

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Embodiment

[0065] This embodiment is a research area, a studio, slope direction and terrain, auctional data and a research area, slope and terrain, and collected research areas based on ASTGTM2 DEM extracting research zone. The average rainfall data is pretreated, depending on the degree of influence of the sedimentation of the water deposition, the slope weight is small to 315 ° -360 ° and 0 ° -45 °, 45 ° -135 ° and 225 ° - 315 °, 135 ° -225 °, sequentially given weight values ​​in 0-1. The slope and the average rainfall data were normalized to obtain the normalized spatial distribution of the study area sediment terrain and the climate impact factor. Probability Soft Data of the above variables based on geographic weighted regression methods. Separating geochemical data at 1:20 million as hard data, based on BME method, the established soft data model and hard data calculates the unsampled points of the probability density distribution function, and the estimated value of the unsampled poi...

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Abstract

The invention discloses an aqueous sediment geochemical anomaly mapping method based on BME-GWR, and the method comprises the following steps: extracting topographic factors based on ASTGTM2DEM data, the topographic factors comprising gradient, slope direction and topographic relief degree information; constructing a probabilistic soft data model of the research area for the extracted topographic factors and the average rainfall information of the research area based on a GWR method; by taking the geochemical data of the 1:200,000 water-system sediments as hard data, identifying the geochemical anomalies of the water-system sediments in the research area for the established probabilistic soft data model and the hard data based on a BME method; and comparing the identified geochemical anomalies of the water-based sediments with a Pocrige interpolation result, and performing interpolation precision and uncertainty evaluation. According to the BME-GWR-based geochemical anomaly mapping method for the water-based sediments, the recognition precision of geochemical anomalies of the water-based sediments is improved, and the uncertainty is reduced.

Description

Technical field [0001] The present invention relates to image processing technology, and in particular, to a based Sediment Geochemistry BME-GWR method for mapping abnormal. Background technique [0002] Geochemical anomaly identification method is one of the hotspots of geochemical exploration, comprehensive information integration, data integration and mineralization related information is one of the missing information to solve the geochemical footprint and effective way to incomplete questions, to carry out geochemical anomaly identifying information of great significance. The traditional identification relies only exception geochemical data abnormality recognition, often can not obtain satisfactory results. Abnormal distribution of stream sediment geochemical elements influenced by surface geochemical landscape, so the integration stream sediment geochemical data and information on topography and other factors geochemical anomaly identification is important for geochemical e...

Claims

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Application Information

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IPC IPC(8): G06F30/10G06F30/20G06F17/18G06F111/08G06F111/10
CPCG06F30/10G06F30/20G06F17/18G06F2111/08G06F2111/10
Inventor 汪海城
Owner 河北地质大学
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