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首页> 外文期刊>Research journal of environmental and earth sciences >Geochemical Distribution of Heavy Metals in Soil around Itakpe Iron-ore Mining Area-a Statistical Approach
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Geochemical Distribution of Heavy Metals in Soil around Itakpe Iron-ore Mining Area-a Statistical Approach

机译:伊塔克佩铁矿区周围土壤中重金属的地球化学分布-一种统计方法

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This study becomes imperative in order to determine the degree of soil contamination due to iron-ore mining. Ten surface soil samples were collected and analyzed for major ions and heavy metals during the dry season. Average cation concentration observed was: Ca>K>Na>Mg while the heavy metal average were: Fe>Ni>Cd>Zn>Cu>Pb. The regression analysis result indicates generally weak associations among the variables though moderate relationships were observed between Ni-K, Pb-Mg, Pb-Fe and Zn-Cu. Five indices were used for data evaluation: Anthropogenic Factor (AF), Index of Geo-accumulation (Igeo), Enrichment Factor (EF), Contamination Factor (CF) and Pollution Load Index (PLI). Except EF which gave the order of enrichment: Fe>Ni>Pb>Cu>Zn>Cd, AF, Igeo and CF reveals this order of contamination: Fe>Pb>Ni>Cu>Zn>Cd. PLI shows that the locations experienced various degrees of deterioration in this order: ITK14>ITK10>ITK04>ITK02> ITK01>ITK07>ITK06>ITK05 (ITK17) >ITK03. R-mode factor analysis suggests that factor one is due to natural and anthropogenic influence while factors two and four are due to natural processes. Factor three points to anthropogenic origin. Q mode factor reveals anthropogenic factor as the dominant influence. R-mode cluster indicates that cluster four is anthropogenic and three natural while clusters two and three are a mixture of natural and anthropogenic sources. Q-mode cluster analysis shows that clusters one, two and three are directly influenced by iron ore mining while four were not. The soils around Itakpe iron ore have experienced various degrees of contamination particularly with reference to Fe, Pb and Ni and locations ITK14, ITK10, ITK04, ITK02 and ITK01. This area needs to be reclaimed and soils treated appropriately while norther and a detailed study on the ecosystem is recommended.
机译:为了确定由于铁矿石开采而造成的土壤污染程度,这项研究势在必行。收集了十个表层土壤样品,并在干燥季节分析了其中的主要离子和重金属。所观察到的平均阳离子浓度为:Ca> K> Na> Mg,而重金属平均值为:Fe> Ni> Cd> Zn> Cu> Pb。回归分析结果表明,尽管Ni-K,Pb-Mg,Pb-Fe和Zn-Cu之间存在适度的关系,但变量之间的关联通常较弱。五个指标用于数据评估:人为因子(AF),地积累量(Igeo),富集因子(EF),污染因子(CF)和污染负荷指数(PLI)。除富集顺序为:Fe> Ni> Pb> Cu> Zn> Cd的EF外,AF,Igeo和CF均显示出该污染顺序为:Fe> Pb> Ni> Cu> Zn> Cd。 PLI显示这些位置按以下顺序经历了不同程度的恶化:ITK14> ITK10> ITK04> ITK02> ITK01> ITK07> ITK06> ITK05(ITK17)> ITK03。 R-模式因素分析表明,因素一是自然和人为因素造成的,而因素二和四是自然过程造成的。将三点指向人为起源。 Q模式因子显示人为因素是主要影响因素。 R-模式聚类表明聚类4是人为和自然的,聚类2和3是天然和人为来源的混合。 Q型聚类分析表明,铁矿石开采直接影响一,二和三类,而四类则不受影响。 Itakpe铁矿石周围的土壤受到了不同程度的污染,特别是涉及到Fe,Pb和Ni以及ITK14,ITK10,ITK04,ITK02和ITK01。该区域需要开垦,土壤应适当处理,而北方则建议对生态系统进行详细研究。

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