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1.
为研究滇黔桂卡林型金矿区水系沉积物和岩石中金的地球化学时空分布及其与金矿规模的对应关系,系统收集了该区1:20万区域化探全国扫面计划水系沉积物和全国地球化学基准计划岩石金的地球化学数据,绘制了水系沉积物和岩石金的地球化学分布图。滇黔桂卡林型金矿区以水系沉积物金地球化学异常面积大于1000 km^2为准,共圈定5处金的地球化学省,这些金的地球化学省同时也是矿床大规模产出的部位。区内右江盆地水系沉积物金背景值(1.94×10^–9)高于扬子克拉通(1.68×10^9),其内以泥岩、页岩、砂岩、灰岩为代表的容矿岩石金背景值(0.51×10^–9)也高于扬子克拉通(0.39×10^–9)。研究区不同构造单元及沉积相中水系沉积物金背景值受岩石金背景值的制约。金的地球化学省是地壳演化过程中不均匀分布的高金背景岩石、金矿化作用及金矿床次生风化作用相互叠加的结果。该研究有助于有效判断异常成因、识别成矿作用存在,对研究金的区域成矿规律和聚焦找矿靶区具有重要意义。 相似文献
2.
为研究巨量金聚集作用和成矿元素地球化学异常响应关系,本文针对胶东地区收集了1∶20万全国区域化探扫面计划水系沉积物、全国地球化学基准计划河漫滩沉积物和岩石的地球化学数据,绘制了该研究区水系沉积物和岩石的金地球化学分布图,并结合区域构造-蚀变-成矿特征揭示水系沉积物和主要地质体岩矿石中金的地球化学异常分布及其成因联系。研究区水系沉积物金含量以10.7×10^-9为异常下限,地球化学异常面积为164.3km^2,其中Au-1号异常面金属量占研究区总面金属量的51.94%,标准化异常面金属占研究区总标准化面金属量的73.63%,是胶东地区最主要的次生金浓集中心和原生金矿化中心,因此也是胶东金矿床密集产出的部位。区内赋矿地质体岩石、载金矿物黄铁矿和水系沉积物中成矿相关元素Au、Ag、Cu、Pb、Zn和Bi含量变化及综合对比研究表明,胶东地区不同构造带中水系沉积物金背景值受岩石金背景值和矿化体风化剥蚀的综合制约。因此,胶东金的地球化学异常图谱是由区域大规模金矿化作用、高金背景的岩石和金矿床次生风化作用相互叠加的结果,对于理解胶东金矿省巨量金聚集的地表沉积物响应和指导深部找矿勘查具有重要的参考意义。 相似文献
3.
《矿物岩石地球化学通报》2017,(5)
为研究秦岭地区水系沉积物和岩石中金的地球化学时空分布及其与金矿集区的对应关系,分别收集了该区1︰20万区域化探扫面计划和全国地球化学基准计划的水系沉积物和岩石金分析数据,绘制了该区水系沉积物和岩石的金地球化学分布图。秦岭地区以水系沉积物金地球化学异常面积大于1000km~2为准,共圈定11处金的地球化学省,这些金的地球化学省同时也是金矿床密集产出的部位。水系沉积物金背景值较高的是西秦岭(2.11×10~(-9))和松潘-甘孜(2.27×10~(-9))造山带,同样这个构造带中岩石金的背景值也较高,分别为0.81×10~(-9)和0.70×10~(-9)。秦岭地区不同构造带中水系沉积物金背景值受岩石金背景值的制约。金的地球化学省是由高金背景的岩石,金矿化作用和金矿床次生风化作用相互叠加的结果。该研究对于了解巨量金元素聚集就位机制和聚焦找矿靶区具有重要意义。 相似文献
4.
泉州湾洛阳江河口潮间带沉积物中重金属来源分析 总被引：4，自引：0，他引：4
采用ICP-MS检测技术,对泉州湾洛阳江河口潮间带3个沉积柱中重金属Hg、V、Cr、Mn、Co、Ni、Cu、Zn、Cd、Pb、Fe的含量与垂向分布特征进行了分析,并结合因子分析、聚类分析和元素地球化学特征对柱中各重金属元素的来源进行了探讨。结果表明,泉州湾洛阳江潮间带柱状沉积物中主要受污染元素为Cu、Zn、Cd、Hg,以人类活动输入为主;V、Mn、Co、Ni、Fe主要受地球化学背景值影响,以自然来源为主。并利用V和Fe作为参考元素,将数据进行标准化,以目标元素和V对应Fe的变化趋势做了归一化分析并作散点图,得出的结论与因子分析和聚类分析的结果一致,说明该方法适用于区分沉积物重金属的自然来源和人为来源。 相似文献
5.
水系沉积物中的重金属元素含量调查是矿区环境受污染程度的重要依据,同时水系沉积物的物源组成也是近年来找矿突破的重要环节之一。通过分析水系沉积物中羟基官能团与重金属游离态阳离子之间的吸附反应,结合地面实测高光谱数据,发现与重金属元素含量相关性较好的波谱波段为500~780 nm与2 100~2 300 nm,建立基于地面实测光谱技术反演水系沉积物中重金属元素含量的回归方程,最后利用反距离权重方法成功提取碾子沟-洛金洼多金属矿区3条冲沟水系沉积物中Cu、Zn等重金属元素含量。结果显示：重金属Cu和Zn模型检验精度（R2）分别为0.618和0.636;研究区内冲沟源头山地林地附近流域沉积物中的重金属含量相对中下游矿区周边农用地较低,同时沉积土壤中的重金属含量随着冲沟流向呈升高趋势。重金属含量较高的中游农用地附近应加以治理,含量异常的中下游区域为今后的找矿方向。 相似文献
6.
吉林省部分河流与湖泊表层沉积物中重金属的分布规律 总被引：13，自引：2，他引：13
河流的水化学组成具有多样性和易变性,而湖泊水则因其交换缓慢,即使与河流所在地区的气候条件和地球化学条件相似,其化学组成也明显区别于河流,沉积物中重金属的分布也不同.利用形态分析、相关分析和地累积指数法研究了吉林省境内部分河流、湖泊沉积物重金属分布规律.研究结果表明,伊通河和南湖重金属元素生物可利用态含量都很高,存在较大的、潜在的生态危害,Pb、Cu在有机物态中表现出明显的赋存趋势;河流沉积物中Cu、Pb、Zn与pH值显著相关,但湖泊中却相关性不显著.河流沉积物受重金属污染较严重,污染程度最高达到4级,属强污染,湖泊污染程度较轻. 相似文献
7.
本文以华南褶皱系五指山褶皱带北部加来地区地质特征为基础,进一步研究水系沉积物地球化学特征、土壤地球化学特征、岩石化学特征和矿物化学特征,探讨铷元素地球化学特征及其成因。研究表明：研究区内铷元素的水系沉积物异常、土壤地球化学异常、花岗岩类岩石化学特征和矿物化学特征基本吻合;本区花岗岩类中铷元素背景值普遍较高,但不同时期花岗岩类中铷元素背景值不一,中三叠世红岭花岗岩体中铷元素背景值最高;矿物原位LA-ICP-MS微量元素分析结果显示,花岗岩类中钾长石、白云母和黑云母是Rb2O的主要载体矿物。 相似文献
8.
地球化学异常靶区优选一直是勘查地球化学所面临的核心问题。目前地球化学异常靶区优选所采取的方法,主要是基于不同地质构造单元的地球化学异常评价方法和基于多元统计而发展的多元素定量化评价指标方法,然而这些异常评价方法缺少对水系中沉积物的物质来源区域进行限定。由于在一级水系中沉积的水系沉积物主要由一级水系流域内的岩石经过风化、剥蚀、搬运,最后在水系内沉积而成,因此一级水系中的水系沉积物的物源区域可近似与水系流域等同。本文通过水系流域的提取,以水系流域作为分析单元,对1∶50000丫他幅水系沉积物进行地球化学分析评价,通过与地质矿产资料对比,证明了本方法的有效性,并且缩小了地球化学异常区域,更精确地进行靶区定位。根据本文提出的方法,通过分析区内已知矿点所处流域的地球化学元素特征,将丫他幅内已有金矿划分为两种类型,对后期找矿工作有一定的指导意义。 相似文献
9.
《地球化学》2016,(1)
本研究用X射线荧光(XRF)和电感耦合等离子质谱仪(ICP-MS)等对湘江湘潭段河岸沉积物进行了主元素、微量元素地球化学分析。结果表明,河岸沉积物具明显贫Na_2O、CaO、Mg O等碱质,而富Fe_2O_3、MnO等氧化物的化学组成特征。沉积物明显富集Cu、Pb、Zn、Mn、V、Cr、U、Th等多种重金属和Zr、Hf、Ta等高强场元素,而亲石元素Cs、Ga、Ge、Rb、Sr等及稀土元素(REE+Y)在沉积物中富集不明显。地累积系数(Igeo)法评价显示,河岸沉积物存在Cu、Zn、Pb等元素组成的潜在重金属污染。主元素与重金属元素相关性分析显示,Ba、Rb、Th、U、Sc、Cr、Ta、Nb、Zr、Hf、Ga、Ge、Y等主要赋存于石英等碎屑矿物中,这些微量金属元素可能主要为自然来源,在沉积物中化学性质相对稳定;而Mn、V、Co、Cr、Cu、Pb、Zn等重金属元素则主要赋存于铁、锰氧化物矿物相中,这些重金属元素可能以人为源为主,在沉积物中有一定的化学活性,可发生活化迁移。沉积物的Fe_2O_3、LOI、∑REE等的含量值及Eu/Eu*值可作为指示沉积物重金属污染的地球化学指标,对沉积物重金属污染有一定的指示作用。 相似文献
10.
为了全面理解大亚湾海域环境典型重金属污染水平以及潜在的生态危害, 以海水-沉积物-马尾藻为系统研究对象, 分析重金属污染元素Cu、Pb、As在大亚湾表层沉积物、海水、马尾藻以及细胞超微结构中的地球化学和生物地球化学特征, 结果表明, 沉积物和海水中Cu、Pb、As的平均含量均未超过国家一类质量标准, 部分站位因外源输入含量较高.生物富集系数表明, 马尾藻对重金属吸收大小顺序为As＞Pb＞Cu, 且表现出对砷较强的富集吸收能力.透射电子显微镜下, 大亚湾重金属元素生物地球化学效应主要表现为马尾藻细胞超微结构异常和变形, 并出现大量黑色电子致高密度体.能谱分析表明, Cu、Pb、As等重金属元素以电子致高密度体的形式淀积在马尾藻细胞的内部组织结构中, 对细胞超微结构有损伤诱变作用, 为大亚湾生态环境提供早期预警信号. 相似文献
11.
江苏扬中长江漫滩沉积物重金属垂向分布特征及其背景值确定方法 总被引：2，自引：0，他引：2
对扬中长江漫滩柱状沉积物Cd、Pb、Cu、N i、Cr、Zn重金属垂向变化特征分析,表层20 cm以上,重金属含量普遍较高,表明了人类活动对长江重金属输入量呈现日益增加的趋势。通过重金属与Fe元素作线性回归方程,求得重金属的背景含量。相比而言,表层沉积物重金属含量反映了长江滩涂沉积物已经呈现明显的污染趋势。 相似文献
12.
Pengbao Wu Aijing Yin Xiaohui Yang Huan Zhang Manman Fan Chao Gao 《Environmental Earth Sciences》2017,76(21):745
Heavy metal contamination is of great concern in rapidly urbanizing areas. A basin-basis study on the impacts of urbanization on the heavy metal contamination in surface sediments from the Qinhuai River, Eastern China, was conducted, focusing on the spatial variation and source appointments. All of the sampling sites can be divided into three groups based on the hierarchical cluster analysis (HCA) results, which correspond well to the pollution levels of the studied heavy metals in the sediments of the rural, suburban, and urban sections of the Qinhuai River. The relationship between the heavy metal and the Al/Si ratio of sediments varied distinctly with the metal species and urbanization degree of the river sections. Correlation analysis and HCA highlighted that zinc appeared to be a fairly efficient geochemical signature of urban-related heavy metal contamination. The contributions derived from urban activities ranged from 35.9% for Ni to 96.1% for Cu, as estimated by a multilinear regression of the absolute principal component score method (MLR-ACPS). Agricultural activities had a clear impact on As, Pb, and Cu contamination of the sediment. Lithologic sources contributed a significant portion of Ni, Cr, and As to the sediment. 相似文献
13.
利用对数正态分布图解析徐州城市土壤中重金属元素来源和确定地球化学背景值 总被引：9，自引：0，他引：9
城市土壤指示了城市环境中重金属污染的状况.为了更好地评价人为因素对城市土壤的影响强度,确定城市土壤重金属元素的地球化学背景值是十分必要的.以徐州城市表层土壤中Pb、Cu、Zn、V、Se和Ti等重金属为例,利用对数正态分布图区分了不同元素的来源,其中Ti和V主要来自土壤母质的分化,而Pb、Cu、Zn和Se等的来源则比较复杂,表现为受人为因素作用强烈.这些结果与利用多元统计方法(如聚类分析和主成分分析)获得的结果一致.利用对数正态分布图获得了Pb、Cu、Zn、V、Se和Ti等元素的地球化学背景值. 相似文献
14.
Paul Augustinus Charles E. Barton Atun Zawadzki Kate Harle 《Environmental Earth Sciences》2010,61(3):625-639
Macquarie Harbour in southwest Tasmania, Australia, has been affected severely by the establishment of mines in nearby Queenstown
in the 1890s. As well as heavy metal-laden acid rock drainage from the Mount Lyell mine area, over 100 Mt of mine tailings
and slag were discharged into the Queen and Ring Rivers, with an estimated 10 Mt of mine tailings building a delta of ca.
2.5 km2 and ca. 10 Mt of fine tailings in the harbour beyond the delta. Coring of sediments throughout Macquarie Harbour indicated
that mine tailings accreted most rapidly close to the King River delta source with a significant reduction in thickness of
tailings and heavy metal contamination with increasing distance from the King River source. Close to the King River delta
the mine tailings are readily discriminated from the background estuarine sediments on the basis of visual logging of the
core (laminations, colour), sediment grain size, sediment magnetic susceptibility and elemental geochemistry, especially concentrations
of the heavy metals Cu, Zn and Pb. The high heavy metal concentrations are demonstrated by the very high contamination factors
(CF > 6) for Cu and Zn, with CF values mostly >50 for Cu for the mine-impacted sediments. Although the addition of mine waste
into the King River catchment has ceased, the catchment continues to be a source of these heavy metals due to acid rock drainage
and remobilisation of mine waste in storage in the river banks, river bed and delta. The addition of heavy metals to the harbour
sourced from the Mount Lyell mines preceded the advent of direct tailings disposal into the Queen River in 1915 with the metals
probably provided by acid rock drainage from the Mount Lyell mining area. 相似文献
15.
对于人为因素或自然因素造成的农田土壤重金属元素污染,需要进行大面积的土壤环境质量调查和分类管控,然而传统的采样测试方法存在工作量大、代价高等问题。可见—近红外（Vis-NIR）反射光谱是一种快速低成本获取土壤理化信息的手段。为研究Vis-NIR反射光谱预测模型划分土壤重金属污染风险类别的能力,文章以典型人为污染地区（浙江温岭）和典型地质高背景地区（广西横县）的390份农田土壤为样本,测定8种重金属元素（As、Cd、Cr、Cu、Hg、Ni、Pb和Zn）的含量和pH值,并测定土壤Vis-NIR光谱。使用偏最小二乘（PLS）和支持向量机（SVM）算法建立回归模型,对土壤重金属含量和pH值进行预测,并基于预测值进行土壤重金属污染风险分类。结果显示,温岭土壤主要污染元素Cd和Cu的光谱模型回归预测偏差（RPD）分别为1.23和1.19,预测机制与有机质有关。横县土壤主要污染元素As和Cd的RPD分别为1.98和1.93,预测机制与铁氧化物和粘土矿物有关。地质高背景土壤重金属与铁氧化物的正相关性普遍较强,使得光谱模型对重金属含量预测准确度较高。温岭和横县土壤pH值的光谱模型RPD分别为1.76和1.68。土壤重金属污染风险光谱分类的总体
准确度分别为75.0%~100%（温岭）和80.0%~100％（横县）。将Vis-NIR光谱与遥感技术相结合,对农田土壤重金属污染风险进行快速分类总体是可行的。 相似文献
16.
17.
Concentration distribution and assessment of several heavy metals in sediments of west-four Pearl River Estuary 总被引：2，自引：0，他引：2
Shanshan Wang Zhimin Cao Dongzhao Lan Zhichang Zheng Guihai Li 《Environmental Geology》2008,55(5):963-975
Grain size parameters, trace metals (Co, Cu, Ni, Pb, Cr, Zn, Ba, Zr and Sr) and total organic matter (TOM) of 38 surficial
sediments and a sediment core of west-four Pearl River Estuary region were analyzed. The spacial distribution and the transportation
procession of the chemical element in surficial sediments were studied mainly. Multivariate statistics are used to analyses
the interrelationship of metal elements, TOM and the grain size parameters. The results demonstrated that terrigenous sediment
taken by the rivers are main sources of the trace metal elements and TOM, and the lithology of parent material is a dominating
factor controlling the trace metal composition in the surficial sediment. In addition, the hydrodynamic condition and landform
are the dominating factors controlling the large-scale distribution, while the anthropogenic input in the coastal area alters
the regional distribution of heavy metal elements Co, Cu, Ni, Pb, Cr and Zn. The enrichment factor (EF) analysis was used
for the differentiation of the metal source between anthropogenic and naturally occurring, and for the assessment of the anthropogenic
influence, the deeper layer content of heavy metals were calculated as the background values and Zr was chosen as the reference
element for Co, Cu, Ni, Pb, Cr and Zn. The result indicate prevalent enrichment of Co, Cu, Ni, Pb and Cr, and the contamination
of Pb is most obvious, further more, the peculiar high EF value sites of Zn and Pb probably suggest point source input. 相似文献
18.
This paper analyzed contents and geochemical fractions of four heavy metals in four Quaternary boreholes from different sedimentary areas in Pearl River Delta. The results revealed that the geochemical features of heavy metals were controlled by geological provenance and sedimentary environment. The contribution rates of geological sources showed differentiation in four sedimentary environments. In delta plain sedimentary environment, geological sources were the most predominant. In the sea land interaction sedimentary environment, the control of the geological source factor was weakened. The effect of land-sea interaction became more important. Due to different chemical properties of heavy metals, they showed distinct sensitivities to sedimentary environment. Cadmium (Cd) was enriched significantly in the study areas. Mobile fraction of Cd possessed the highest proportion. Potential ecological risk of Cadmium was the highest among heavy metals. Asenic, mercury and lead were enriched weakly. Arsenic and Mercury were dominated by residual fraction. Lead was mainly composed of residual and Fe-Mn oxidation fraction. Their potential ecological risks were relatively lower. In different sedimentary environment, physicochemical parameters had various effects on Cadmium geochemical fraction such as pH. The mobile fraction of Cd was mainly correlated with pH and leaching coefficient. 相似文献
19.
Heavy metal contamination and their distribution in different size fractions of the surficial sediment of Haihe River, China 总被引：3，自引：0，他引：3
Heavy metal contamination and their distribution in different size fractions of the surficial sediment in Haihe River, China have been investigated. These results reveal that the heavy metal contamination of Haihe River is closely related to the contaminating sources along the river and has the order: Cd > Cu > Pb > Cr. The contents of these heavy metals in the sediment of Haihe River are at least two times higher than their background values and the highest contaminating metal, Cd, is 15.5 times higher than its background value and determined in the urban area of Tianjin city. The surficial sediments of Haihe River, with 70% particles smaller than 20 μm, belong to sandy clay containing about 28% clay and 42% silt. Electron micrographs and x-ray analysis show that the concentrations of heavy metals depend on the particle size of sediments. The highest concentrations for most metals exist in fine-grained sediments, which are mainly composed of silicates, oxides, and hydroxides of Si, Fe, and Al. In contrast, lower levels of heavy metals are usually found in the coarse sandy sediments, which are composed of quartz, feldspar, and other rocky substances. Based on the results in the present study of the surficial sediments of Haihe River, the contents of Cr, Cu, Pd, and Cd in finer sediments are 2.4, 3.9, 2.8, and 3.6 times higher than those in coarse sandy sediments, respectively. Obviously, because of rapid industrial development in this area during the last few decades, the surficial sediments of Haihe River, especially those finer fractions, have been seriously contaminated by heavy metals. 相似文献
20.
本研究对湘江下游河床沉积物进行了元素地球化学分析,在认识沉积物元素地球化学特征、甄别人为源与自然源重金属的基础上,估算了沉积物的元素地球化学背景值。结果表明:SiO2、TiO2、Al2O3、Fe2O3、K2O等主量元素及V、Co、Cr、Ba、Sc、U、Sr、Ga、Ge、Rb、Nb、Y、REE等微量元素在沉积物中含量变化相对稳定(Cv<0.2),分布相对均匀,且富集不明显(EF<2.0,Sr明显亏损)。而MnO、MgO、CaO、Na2O、P2O5等主量元素,及Cd、Mn、Cu、Pb、Zn等重金属在沉积物中含量变化大(Cv>0.25),分布极不均匀,且沉积物中重金属明显富集(EF>2.0)。主成分及Pearson线性相关性分析显示,沉积物中不明显富集的微量元素主要赋存于难溶硅酸盐矿物相中,为自然源元素。而沉积物中显著富集的重金属主要赋存于铁—锰氧化物等矿物相中,为有人为源叠加的元素。故针对不同来源特征的元素用不同的方法进行了背景值计算,求得沉积物中47个元素的背景值。再利用元素比值等方法对所得背景值进行检验。结果表明,本文得到的湘江沉积物元素背景值合理,可用作流域沉积物重金属污染评价参考。 相似文献