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安徽二叠纪龙潭组煤中潜在毒害元素分布的因子分析研究
引用本文:钱让清,杨晓勇.安徽二叠纪龙潭组煤中潜在毒害元素分布的因子分析研究[J].煤田地质与勘探,2003,31(1):11-14.
作者姓名:钱让清  杨晓勇
作者单位:1. 安徽大学交通分校,合肥,230051
2. 中国科技大学地球与空间科学院,合肥,230026
摘    要:运用因子分析法对安徽二叠纪龙潭组煤层中S、Fe、As、CA、Se、Hg、Ti和Zn等的分布规律进行了研究,研究了这些潜在毒害元素的相关关系,并结合元素地球化学知识给出了这些元素在煤中赋存状态的信息。结果表明:煤层中Pb以方铅矿形式存在于煤中;As、Hg、Sb主要赋存于次生黄铁矿中;Zn和Se主要赋存于闪锌矿中;从元素地球化学性质上讲,Cd应赋存于闪锌矿中,但由于其在煤中的含量较低,造成分析数据的误差较大,从而掩盖了它与Zn之间的相关关系;Ti的赋存状态较为复杂。

关 键 词:龙潭组煤层  潜在毒害元素  因子分析  赋存状态  安徽
文章编号:1001-1986(2003)01-0011-03
修稿时间:2002年9月16日

Multivariable analysis on distribution of potentially hazardous elements in coal seams form Permian Longtan Formation,Anhui Province
QIAN Rang-qin,YANG Xiao-yong.Multivariable analysis on distribution of potentially hazardous elements in coal seams form Permian Longtan Formation,Anhui Province[J].Coal Geology & Exploration,2003,31(1):11-14.
Authors:QIAN Rang-qin  YANG Xiao-yong
Abstract:Using multivariable analysis method it is analyzed that the distribution regularities of S, Fe, As, Cd, Hg, Pb, Se, Ti and Zn in coal seams from Longlan Formation aged in Permian period in Anhui Province. And the correlations among these potentially hazardous elements are also analyzed . It can be obtained some useful information about the possible modes of occurrence of these elements in coal seams of the Longtan Formation as the follows thrash out made know: The element Pb predominately residents in galena in coal seams ;Zn and Se in sphalerite; As, Hg and Sb may resident in secondary pyrite; according to the elemental geochemistry of Cd, it may exist in sphalerite, due to its contents in coal are too low to get exact analytical results, and the correlation between Zn and Cd was erased; the modes of occurrence of Ti in coal are very complicated. The study results present geochemical results and funded basis for the utilization as well as the environmental protection in mines, which producing Longlan Formation coals .southern Anhui Province.
Keywords:coal seam form Longtan Formation  potentially hazardous element  multivariable analysis method  occurrence model of trace elements  Anhui Province
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