發(fā)布時(shí)間：2018-02-26 19:35

  本文關(guān)鍵詞： 異常識別 多元統(tǒng)計(jì)分類法 異常評價(jià) 森林景觀區(qū) 延邊西部　出處：《吉林大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：延邊西部屬于典型森林景觀區(qū)，，植被覆蓋嚴(yán)重，自然露頭較少，找礦難度大。大量找礦實(shí)踐表明，化探方法是該類景觀區(qū)找礦的主要手段。在此類景觀區(qū)進(jìn)行化探采樣時(shí)，往往采用較粗粒級的樣品以避免有機(jī)質(zhì)的影響，但同時(shí)巖性背景的強(qiáng)烈影響使得元素背景值確定更加困難，直接影響了地球化學(xué)異常識別，特別是低弱異常的識別。 研究區(qū)位于龍崗地塊陸緣活動帶與佳木斯地塊陸緣活動帶交界處，北東向的敦密斷裂貫穿全區(qū)，出露元古界、古生界、中生界以及新生界地層。研究區(qū)經(jīng)歷多期次巖漿侵入，以燕山期的巖漿活動最為強(qiáng)烈、侵入巖類型最為復(fù)雜，這為區(qū)內(nèi)形成更多有工業(yè)價(jià)值的礦床提供了有利的成礦環(huán)境。 本文分析了該區(qū)水系沉積物元素含量的空間分布特點(diǎn)及其與地質(zhì)背景的關(guān)系，研究了水系沉積物主要元素（氧化物）含量的概率分布形式以及成礦元素與巖石化學(xué)成分的關(guān)系。在此基礎(chǔ)上，采用地質(zhì)分類法和以K值動態(tài)聚類為核心的多元統(tǒng)計(jì)分類法對研究區(qū)水系沉積物元素異常進(jìn)行圈定。與常規(guī)異常圈定方法對比研究表明，地質(zhì)分類法可以在一定程度上消除巖性背景的影響，但也存在著精度不高的缺陷，而多元統(tǒng)計(jì)分類法可以有效消除巖性背景的影響，較好地提取低弱異常。 在上述研究的基礎(chǔ)上，根據(jù)地球化學(xué)異常評價(jià)準(zhǔn)則，對研究區(qū)主要地球化學(xué)異常進(jìn)行評價(jià)。根據(jù)地球化學(xué)綜合異常、已知礦點(diǎn)分布及其地質(zhì)背景，圈定了成礦遠(yuǎn)景區(qū)。
[Abstract]:The west of Yanbian is a typical forest landscape area with serious vegetation coverage, less natural outcrop and difficulty in prospecting. A large number of prospecting practices show that geochemical prospecting is the main method for prospecting in this kind of landscape area. Coarse-grained samples are often used to avoid the influence of organic matter, but at the same time, the strong influence of lithologic background makes it more difficult to determine the background value of elements, which directly affects the identification of geochemical anomalies, especially the identification of low and weak anomalies. The study area is located at the junction of the active belt of the continental margin of the Longgang block and the active belt of the Jiamusi block. The NNE Dumi fault runs through the whole area, showing the Proterozoic, Paleozoic, Mesozoic and Cenozoic strata. The study area has experienced multiple magmatic intrusions. The Yanshanian magmatic activity is the strongest and the intrusive rock type is the most complex, which provides a favorable metallogenic environment for the formation of more industrial deposits in the area. In this paper, the spatial distribution characteristics of element contents in river sediments and their relationship with geological background are analyzed. The probability distribution of main elements (oxides) in river sediments and the relationship between ore-forming elements and rock chemical composition are studied. The geological classification method and the multivariate statistical classification method with K value dynamic clustering as the core are used to delineate the element anomalies of river sediment in the study area. The geological classification method can eliminate the influence of lithologic background to some extent, but it also has the defect of low precision. The multivariate statistical classification method can effectively eliminate the influence of lithologic background and extract low and weak anomalies. On the basis of the above research, the main geochemical anomalies in the study area are evaluated according to the evaluation criteria of geochemical anomalies. According to the geochemical comprehensive anomalies, the known distribution of ore points and their geological background, the metallogenic distant areas are delineated.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P632

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本文編號：1539402