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A Remote Sensing Image Model On Molybdenum-polymetallic Deposit In Liaoxi

Posted on:2009-07-27Degree:MasterType:Thesis
Country:ChinaCandidate:S S JiaFull Text:PDF
GTID:2120360308977869Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
The demand for mineral resources, is a motivation for social development. It is a difficult problem that how to utilize the latest technology for serving the prospection, reducing investment risk and meeting the social needs. With the multiple geological information technology, propose new prospecting method-deposits remote sensing image model, based on fully tapping and analysising the relationship between the basic geology, remote sensing data and the existing of deposit. This model not only can compensate for the shortcomings of traditional prospecting methods, can also maximize the use of all existing data to reduce exploration costs and improve the efficiency of exploration.Based on the theory of multiple information prospection, it analysised the regional forming model of the Mo polymetallic deposit in western Liaoning, use of RS, GIS, GPS technology, constructed the initial remote sensing images model on Mo polymetallic deposit in western Liaoning, quantitative extracted the alteration and construction relative to deposits by the ETM+images from Landsat7, established quantitative remote sensing images model using evidence weight method and evaluated prospective areas. This article got some results as follow.(1) after analysising the forming model of typical Mo deposits hosting in Yangjiazhangzi skarn ore and Lan Jiagou porphyry in western Liaoning, arrived at descriptive deposit models of these two types of deposit, constructed exploration model based on the principle of information extraction from remote sensing images;(2) quantitative extracted the information of alteration and the structure linear of images based on the model of remote sensing images. The high density areas of linear anastomosed the main region structure; (3) based on the formation of stratum, structure, magmatic rocks, alteration, and other elements, using evidence weight method, established the remote sensing image model of Mo multi-metal deposit in western Liaoning. The mathematical expression is:RSMMo=0.1882S1+0.2492S2+0.8988S3+1.4978V1+1.0467T1+0.8187A1+0.7873M1 +1.4183M2;(4)by X2 independence test, it was arrived at that every elements satisfied condition independence, which proved that it's feasible in math field. Divided the mining site into three major areas:Yangjiazhangzi-Gangtun ore concentration area, Bajiazi ore concentration area and Wen Zhang Zi-Yangmadianzi ore concentration area. These ore concentration areas are located in three weight high-value areas exactly, which prove it is also valid on geologyl;(5) combining geological data and the mineral occurrences in the external model of high-value area, irised out two prospective areas. The one is center on Gaojialing, the other one is center on hongyazi, which need further geological work.
Keywords/Search Tags:Liaoxi, Molybdenum-polymetallic deposit, remote sensing image model, evidence weight method, linear
PDF Full Text Request
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