Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A bme-gwr-based mapping method for geochemical anomalies in river sediments

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

Active Publication Date: 2022-04-22
HEBEI GEO UNIVERSITY
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A bme-gwr-based mapping method for geochemical anomalies in river sediments
  • A bme-gwr-based mapping method for geochemical anomalies in river sediments
  • A bme-gwr-based mapping method for geochemical anomalies in river sediments

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0064] In this example, the Jining coverage area in Inner Mongolia is taken as the research area, and the 1:200,000 geochemical data of the research area are used as the hard data. The slope, aspect and topographical relief data of the research area are extracted based on ASTGTM2 DEM and the collected research area According to the degree of influence on the formation of secondary halos of river sediments, the slope aspect weights range from 315°-360° and 0°-45°, 45°-135° and 225°- 315°, 135°-225°, sequentially given weight values ​​within 0-1. The slope and average rainfall data were normalized to obtain the normalized spatial distribution of the river sediment topography and climate influencing factors in the study area. The probabilistic soft data of the above variables are constructed based on the geographic weighted regression method. Taking the 1:200,000 sedimentary geochemical data as the hard data, the probability density distribution function of the unsampled points ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a BME-GWR-based method for mapping geochemical anomalies of water system sediments, comprising the following steps: extracting topographic factors based on ASTGTM2DEM data, the topographic factors including slope, slope aspect and topographic relief information; based on the GWR method, the extracted The probabilistic soft data model of the study area was constructed based on topographical factors and average rainfall information in the study area; the hard data was based on the 1:200,000 drainage sedimentary geochemical data, and the established probabilistic soft data model and hard data were identified based on the BME method Geochemical anomalies of water system sediments; compare the identified geochemical anomalies of water system sediments with the Pkriging interpolation results, and evaluate the interpolation accuracy and uncertainty. The present invention adopts a BME‑GWR-based mapping method for geochemical anomalies of water system sediments with the above structure, which improves the identification accuracy of geochemical anomalies of water system sediments and reduces uncertainty.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a BME-GWR-based mapping method for geochemical anomalies of water system sediments. Background technique [0002] Geochemical anomaly identification method is one of the hotspots in geochemical exploration research. Comprehensive information integration and fusion of data information related to mineralization is one of the effective ways to solve the problem of missing and incomplete geochemical information in coverage areas. Information identification is of great significance. Traditional anomaly identification methods rely only on geochemical data for anomaly identification, and often fail to obtain satisfactory results. The anomalous distribution of geochemical elements in water system sediments is affected by the surface geochemical landscape. Therefore, it is of great significance for geochemical exploration to identify geochemical anomalies by combining informatio...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/10G06F30/20G06F17/18G06F111/08G06F111/10
CPCG06F30/10G06F30/20G06F17/18G06F2111/08G06F2111/10
Inventor 汪海城
Owner HEBEI GEO UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com