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Application Of Remote Sensing Technology And 3D Geological Model In The Prediction Of Metallogenic Potential Area In Tianzhen,Shanxi Province

Posted on:2022-06-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y T YangFull Text:PDF
GTID:2480306542482084Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
The tectonics of northeast Shanxi belongs to the active belt in the northern margin of North China plate.The magmatic hydrothermal activity in Yanshanian period is relatively strong,and it is an important polymetallic metallogenic area in Shanxi Province.After years of geological research,the basic geological survey of different scales and the geological and mineral survey of key areas have been completed one after another,and rich geological data have been accumulated.However,due to the main purpose of solving the basic geological problems in the past work,although there are deposits found in the area,the research on the metallogenic law and the source of metallogenic materials is relatively lacking.Therefore,the further application of new methods and new theories to the study of metallogenic mechanism and spatial coupling in this area will have a certain guiding significance for the next prospecting.This study is based on the geological exploration project of Shanxi Provincial Department of land and resources in 2017 undertaken by Shanxi Provincial Geological Survey Institute(project number: SXZDF20170820).Remote sensing data are used for geological interpretation and extraction of alteration anomaly information in the study area.The regional geochemical anomaly characteristics and typical deposit characteristics are integrated to establish the prospecting model in the area.The multi-source metallogenic information is superimposed and analyzed to predict the metallogenic prospect area.Based on the regional geological characteristics,the 3D geological modeling software Surpac is used as a platform for 3D visualization of key areas to enhance the reliability of the prediction of metallogenic remote areas.The main con are as follows:(1)Landsat8 data is preprocessed by image fusion and data enhancement,and DEM data is cropped.The linear and circular structure interpretation and quantitative analysis of the study area are carried out through visual interpretation.(2)The main component analysis of landsat8 data preprocessed by radiation calibration,atmospheric correction and interference removal was carried out to extract the hydroxyl and iron staining anomalies in the study area,using mean +skewness × standard deviation to determine anomaly thresholds,and divide alteration information level,and get a relatively good effect.Combined with the characteristics of regional geochemical anomalies,this paper studies and analyzes the typical deposits in the area,explores from known to unknown,constructs the final prospecting model,and verifies the effectiveness of remote sensing prospecting information.On the GIS platform,the remote sensing and geochemical prospecting information are comprehensively analyzed,and the metallogenic prospect area is finally delineated,which plays a guiding role for the next geological prospecting work.(3)Many field geological surveys and samples were carried out in the key metallogenic prospect areas,and the indoor geochemical characteristics and thin section identification of the collected samples were analyzed.Based on the data of basic geology and measured sections,three-dimensional surface model,stratum model and fault model of key areas are established.Through the coupling analysis of geological characteristics,geophysical and geochemical information and anomaly information,the metallogenic regularity and metallogenic location are analyzed.The field verification shows that the remote sensing interpretation information plays an important role in prospecting,which confirms the accuracy of the prospecting model.It is considered that the prediction of metallogenic prospect has high reference value.
Keywords/Search Tags:Tianzhen, remote sensing structure interpretation, alteration information extraction, 3D geological model, prospective mineralization area
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