發(fā)布時間：2018-04-14 10:01

  本文選題：取樣 + 化學(xué)分析　； 參考：《中國礦業(yè)》2017年S2期

【摘要】：目前,館藏地質(zhì)標(biāo)本的化學(xué)分析取樣,一是參照地質(zhì)行業(yè)或石油行業(yè)標(biāo)準(zhǔn),其取樣代表性范圍較廣,一般為礦床或礦區(qū)級別,取樣量非常大。如此大范圍的代表性,除首次系統(tǒng)性取樣外,不適合館藏樣品的取樣工作。二是參照一些國內(nèi)外館藏樣品取樣規(guī)定,取樣量受到嚴(yán)苛限制,不能保證擁有較好的取樣代表性。館藏地質(zhì)標(biāo)本的后續(xù)研究,主要針對的是館藏樣品,取樣代表性范圍也只限于館藏樣品。并且按地質(zhì)礦產(chǎn)采樣要求,所采樣品應(yīng)有充分的代表性。為了解決上述取樣問題,本文以典型礦床黃沙坪鉛鋅礦的部分標(biāo)本為實驗對象,分析了館藏地質(zhì)標(biāo)本的取樣量(百分比)與樣品代表性之間的規(guī)律。絕大部分元素測試結(jié)果表明,分取樣量在30%時,其各元素含量擁有70%的代表性。通過這次研究,實驗并分析了取樣代表性的評估方法,探討了實物資料取樣代表性強、標(biāo)本破壞性小的最佳取樣方案。
[Abstract]:At present, the chemical analysis sampling of geological samples in library is based on the standard of geological industry or petroleum industry, and its representative range is relatively wide, which is generally ore deposit or mining area grade, and the sampling amount is very large.Such a wide range of representativeness, except for the first systematic sampling, is not suitable for collection sampling.Secondly, referring to the sampling regulations of some domestic and foreign collections, the sampling amount is severely restricted, which can not guarantee a better representative sample.The follow-up study of geological specimens is mainly aimed at the collection samples, and the representative range of sampling is limited to the collection samples.And according to geological and mineral sampling requirements, samples should be fully representative.In order to solve the above sampling problem, this paper takes some samples of Huangshaping Pb-Zn deposit as experimental objects, and analyzes the law between the sample size (percentage) and the sample representativeness.The results of most element tests show that the content of each element is 70% when the sampling amount is 30%.Through this study, the evaluation method of sampling representativeness is experimented and analyzed, and the best sampling scheme with strong sample representativeness and small sample damage is discussed.
【作者單位】： 國土資源實物地質(zhì)資料中心;
【基金】：中國地質(zhì)調(diào)查局項目“全國實物地質(zhì)資料匯聚整理與服務(wù)”資助(編號:121201013000150002)
【分類號】：P624
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本文編號：1748791