金的地球化学异常与金矿床规模之间关系的统计学特征——以河北省为例

以水系沉积物地球化学调查成果为基础,从统计学角度探讨了河北省金地球化学异常与金矿规模的对应关系。以2.6 ng/g为异常下限,在全省范围内圈定金区域异常28处,局部异常35处。研究发现区域异常与金矿的关系非常密切,100%的大型金矿、81.8%的中型金矿及70.9%的小型金矿都位于区域异常内。局部异常仅与小型金矿的关系密切,小型金矿在局部异常中的产出概率是20%。通过23个金异常面积与金矿储量的相关分析表明,二者相关性非常好,相关系数达0.919,金异常面金属量与金矿储量的相关性也很显著,相关系数达0.924。回归分析表明,金异常面积及异常面金属量与金矿床储量之间符合一元线性相关特征,并分别建立了回归方程。该成果对矿产预测及资源潜力评价具有一定的指导意义。     

The true sample catchment basin approach in the analysis of stream sediment geochemical data

The Sample Catchment Basin Approach (SCBA) is one of the techniques widely employed in the analysis of stream sediment geochemical data and delineation of anomalous catchments. However, this method fails to take into account the real catchment basin boundaries of each sample by incorporating only the incremental area between two adjacent samples. In other words, the SCBA incorrectly assumes that the geochemistry of every sample catchment within a drainage is independent from upstream sample catchment(s) feeding into this drainage. The chemical composition of sediment at the basin outlet originates from the whole basin upstream and not the incremental area as postulated in the SCBA. Consequently, the calculated background values for various lithologies and the background value for the element of interest at the basin outlet might be far from reality.This study used a True Sample Catchment Basin Approach (TSCBA), that reflects the true catchment boundary of every stream sediment sample, and in which all calculations are carried out on the premise that this boundary and the true area affect the composition of each sample. The results obtained from the application of both the SCBA and TSCBA to a gold endowed study area in western Iran clearly illustrated the superiority of the TSCBA over the SCBA. In addition, this study demonstrated the advantage of using the modified dilution correction equation of Mokhtari and Garousi Nezhad (2015), as compared to the existing Hawkes’s equation commonly used for dilution correction of residual values.     

甘肃迭部县尖尼—桑坝一带金地球化学特征及找矿意义

尖尼—桑坝一带自开展1∶20万区域化探以来,先后进行了异常查证,发现了众多的金矿床点。本文探讨了该区金地球化学特征,特别是1∶5万水系沉积物测量、1∶1万土壤地球化学测量,显示出Au异常规模大、峰值高、浓度分带好,Au、As、Ag、Hg、Sb等组合异常套合好的特征。采用土壤测量浓缩异常源、缩小找矿靶区,发现了金矿体,找...     

河北高寺台杂岩体铂、钯地球化学分布和异常特征

在高寺台超镁铁杂岩体发现了2种铂族元素异常:一种异常分布在杂岩体纯橄榄岩或橄榄岩带的镁质超基性岩中,与已知的含铂族铬铁矿有关,与已知的铬、钴、镍等矿化主金属的强异常密切共生。在这种异常中,钯呈甚低的背景分布,w(Pt)/w(Pd)大;另一种铂族元素异常呈带状沿杂岩体透辉岩带及其中的剪切带分布,其异常特征是铂、钯异常密切共生,w(Pt)/w(Pd)近于1,并且,在这种异常中,不伴生铬、镍等元素的强异常。这是一种新的铂、钯等元素的地球化学富集和矿化。研究表明,采用岩石、土壤、水系沉积物铂、钯地球化学勘查技术,可以发现难识别的铂族矿化。     

Single-element Anomaly Mapping from Stream Sediment Geochemical Landscapes Aided by Digital Terrain Analysis

The identification of anomalies within stream sediment geochemical data is one of the fastest developing areas in mineral exploration. The various means used to achieve this objective make use of either continuous or discrete field models of stream sediment geochemical data. To map anomalies in a discrete field model of such data, two corrections are required: background correction and downstream dilution correction. Topography and geomorphology are important factors in variations of element con...     

PGE exploration in the Wadi Amarah complex,southwestern Arabian Shield

A stream sediment survey targeting PGE and their pathfinders was carried out at a gabbro/pyroxenite complex in Wadi Amarah in the SW Arabian Shield. Twenty-nine stream sediment samples were collected from wadi channels and analyzed for PGE and base metals. None of the samples contained detectable PGE except for WAS-3 and WAS-27 which returned values above 70 ppb of combined Pt and Pd; these two locations are also anomalous for Au. A follow-up survey was conducted to further investigate the anomalies at these locations. A total of 48 soil and rock samples were collected from the two anomalous localities. Unlike the initial survey, most samples contained detectable PGE and Au albeit not as high as the original anomalies. Factor analysis of the results from the initial survey returned five main factors, with the first four reflecting the effects of mineral detritus as well as adsorption onto Fe–Mn oxyhydroxides; however, the last factor is loaded only for Cu and Ni and is therefore considered an ore factor indicating the presence of Cu–Ni sulphides. Another five factors were obtained from the follow-up survey, and as was the case in the initial survey, the first four factors are detrital/adsorption-related, while factor 5 has high loadings for only Pd and Pt and is therefore interpreted as a PGE ore factor. These findings reveal different modes of dispersion of PGE and base metals in the secondary environment and, more importantly, demonstrate the effectiveness of factor analysis in detecting even faint anomalies from disseminated mineralization.     

黄土覆盖区地球化学数据采集及采样单元之间误差校正方法研究——以内蒙古敖汉旗为例

敖汉旗幅为赤峰地区的黄土覆盖区,在该区进行1：5万区域地球化学调查工作以水系采样为主,土壤为辅.为便于研究,水系粒级采用-10~+60目,土壤样品采用-10目粒级.因采样介质不同,所代表的化学意义不同,测试中产生系统误差.对不同采样介质的测试数据以Au元素为例分别进行统计,确定不同采样地区的背景值,并利用不同的系统误差校正方法对土壤采样区与水系采样区进行系统误差校正,以求在满足异常分析的同时更低程度遗漏厚黄土覆盖区低缓弱异常.3种校正方法在保证水系沉积物异常条件下,对黄土区异常都有一定程度弱化.标准化方法弱化的程度相对小,对刻划黄土区地球化学信息最接近,衬度变换与中位数变换校正后对黄土区地球化学信息反映弱.     

Separation of a geochemical anomaly from background by fractal and U-statistic methods,a case study: Khooni district,Central Iran

Separation of geochemical anomalies from background are one of the important steps in mineral exploration. The Khooni mineral district (Central Iran) has complex geochemical surface expression due to a complex geological background. This region was chosen as a study area for recognition of the spatial distribution of geochemical elements and separating anomalies from background using stream sediment geochemical data. In the past decades, geochemical anomalies have been identified by means of various methods. Some of these separation methods include: statistical analysis methods, spatial statistical methods and fractal and multi-fractal methods. In this article, two efficient methods, i.e. U-statistics and the fractal concentration-area for separation and detection of anomalous areas of the background were used. The U spatial statistic method is a weighted mean, which considers sampling point positions and their spatial relation in the estimation of anomaly location. Also, fractal and multi-fractal models have also been applied to separate anomalies from background values. In this paper, the concentration–area model (C–A) was suggested to separate the anomaly of background. For this purpose, about 256 stream sediment samples were collected and analyzed. Then anomaly maps of elements were generated based on U spatial statistics and the C-A fractal methods for Au, As and Sb elements. According to obtained results, the U-statistics method performed better than C-A method. Because the comparisons of the known deposits and occurrences against the anomalous area created using thresholds from U-statistics and C-A method show that the spatial U-statistics method hits all of 3 known deposits and occurrences, the C-A fractal method hits 1 and fails 2. In addition, the results showed that these methods with regard to spatial distribution and variability within neighboring samples, in addition to concentration value frequency distributions and correlation coefficients, have more accurate results than the traditional approaches.     

陕西秦岭巴山地区化探异常查证找矿实例分析

在陕西秦岭巴山地区9万km²内,通过1:20万区域化探扫面,发现了一批多元素综合异常,并根据地质构造背景分析划分出五个异常带(区)。其中新发现的北秦岭Au、Ag、Pb、Zn异常带,规模大、元素组合复杂且含量高,为一重要的金、多金属成矿带。1986年开始,在该区大力开展区域化探异常查证工作。通过1:5万水系沉积物测量,圈定了以金元素为主的化探异常。在主体异常部位系统地开展了1:1万土壤测量和槽探工程,于当年就在周至县马鞍桥发现了金矿体。随后又根据化探异常特征,布置了钻探和坑探工程验证。经进一步检查和详查,确认马鞍桥金矿为一大型金矿床。     

Detrital tin patterns in stream sediments and soils in mid-cornwall

Regional stream sediment sampling in southwest England has revealed extensive anomalous Sn values outside the known Sn mining districts. A detailed investigation of some of these anomalies in the Truro-Mitchell area of Cornwall, has shown that the high Sn concentration was due to detrital cassiterite introduced during previous cycles of erosion. Soil anomalies associated with these detrital cassiterite concentrations are contrasted with those related to known Sn mineralization. Methods of differentiating significant anomalies from those of detrital type on the basis of associated elements are discussed.     

Application of modified wavelet and fractal modeling for detection of geochemical anomaly

Aim of this research is to propose a wavelet-fractal model for detection of geochemical anomaly based on a modified Morlet Wavelet Kernel (MMWK). This study was carried out for detection of lithium anomalies regarding stream sediment samples. Major Li anomalies commence from 51.1 ppm obtained by the wavelet-fractal modeling based on Decomposed Wavelet Transformation (DWT) using a conventional Morlet wavelet. A modified kernel for the Morlet wavelet was utilized for separation of the Li anomalies. The MMWK benefits from the use of L1 norm (instead of L2) which consequently provides more robustness and resistance to outliers for stream sediment data. Results derived via the modified Morlet kernel-fractal modeling show that there are principal lithium anomalies with Li ≥ 55.2 ppm. In addition, staged factor analysis was used and Li was placed with Rb, Cs and F in F2-2. Then, the F2-2 main anomalies commence from 2.7 and 2.9 using the conventional Morlet and MMWK, respectively. Subsequently, both methods were compared by a log-ratio matrix with an Overall Accuracy (OA) due to rock samples retaken from these anomalies. These rock samples were classified using a Concentration-Number (C-N) fractal model and high intensive anomalous samples with Li ≥ 126 ppm. This correlation indicated that the OA between the main obtained anomalies by the MMWK and the rock samples are higher than conventional Morlet-fractal modeling.     

老挝普老地区多金属矿地球化学异常特征及找矿前景

普老地区Pb、Zn、Sn多金属异常区位于老挝北部长山成矿带,1∶5万水系沉积物地球化学测量发现了以Pb、Sn为主,伴生Zn、Ag、W、Sb、Bi、As、Hg、Cu、Au等元素异常。1∶1万土壤地球化学测量圈定了3个综合异常带,Pb、Zn、Sn等元素具有异常强度高、规模大、浓集中心明显的特点,经异常检查发现铅锌、锡多金属矿化点13处。研究和分析异常区元素的地球化学分布和异常特征,认为该区多金属异常为矿致异常,具有寻找热液型铅锌、锡及多金属矿的潜力。     

谢通门色药异常区铜找矿前景浅析

本文在区域地质、水系沉积物测量、土壤测量和高精度磁测等方面对色药异常区的铜找矿前景进行初步分析。利用1∶5万水系沉积物测量编制异常图,发现区内Mo、Cu、Bi、Pb、Zn、Sb、Sn、W、Ag、Hg等元素均有不同规模的异常,且Mo、Cu异常规模较大。通过高精度磁测结果显示区内有3个磁异常,已知铜矿化点均位于磁异常附近。通过土壤测量数据研究元素间的组合关系,推断区内可能的矿床类型与酸性侵入岩有关的斑岩型铜多金属矿。并对区内已发现的1号铜矿化点进行重点研究,表明区内寻找与中酸性侵入岩有关的铜多金属矿具有良好的找矿前景。     

贵州西部红岩地区水系沉积物中Pt、Pd地球化学异常的识别及推断解释

与基性-超基性岩相比,我国的峨 眉山玄武岩具有高含量的Pt、Pd地球化学背景。从峨眉山玄武岩分布区分辨出与基性、超基性侵入岩有关的Pt、Pd地球化学异常,是我国Pt、Pd找矿获得重大突破的关键技术。在贵州西部开展的1∶5万 水系沉积物测量显示,采用岩石背景衬值法可有效区分岩性和矿致Pt、Pd异常。在红岩村附近茅口组灰岩与玄武岩接触带及北东向断层的复合部位圈出了浓度分度清晰的As、Sb、Hg、Pb、Cr、Ni、Pt、 Pd组合异常,推测在该组合异常下方可能存在一个赋存有Pt、Pd矿的隐伏基性-超基性含矿岩体(脉)。     

A spatial analysis method for geochemical anomaly separation

One purpose of using statistical methods in exploration geochemistry is to assist exploration geologists in separating anomalies from background. This always involves two types of negatively associated errors of misclassification: type I errors occur when samples with background levels are rejected as background; and type II errors occur when samples with anomalous values are accepted as background. A new spatial statistical approach is proposed to minimize errors of total misclassification using a moving average technique with variable window radius. This method has been applied for geochemical anomaly enhancement and recognition as demonstrated by a case study of Au and Au-associated data for 698 stream sediment samples in the Iskut River area, northwestern British Columbia. Similar results were obtained using the fractal concentration-area method on the same data. By employing spatial information in the analysis, the process of selecting anomalies becomes less subjective than in more traditional approaches.     

辽宁虎山-永甸地区水系沉积物测量异常特征及成矿预测

对虎山-永甸地区1：5万水系沉积物资料处理结果显示：元素富集程度较高,Au、As、Bi变异系数较大.根据各元素的地球化学特征圈定了Au、Ag、Cu、Pb、Zn、Mo、As、Sb、Bi等单元素异常及7处多元素综合异常,揭示了区内异常的分布特征,评价了异常的找矿意义.进一步依据综合异常特征和地质信息划分出最佳成矿预测区4处,即太平湾-长甸河口预测区、古楼子-金坑预测区、车道岭-南碑沟预测区和长甸-李家沟预测区.     

Shawinigan nickel-copper property — A case history of a reconnaissance geochemical discovery in the Grenville Province of Quebec,Canada

Study of an area in the southern Grenville of Quebec, by a stream sediment reconnaissance survey, outlined a previously unknown nickel-copper occurrence. Both reconnaissance and detail soil surveys were employed to define the sources of the stream sediment anomalies. A rock geochemical survey was carried out along with the detail soil survey. Some of the soil and rock geochemical anomalies were drilled and in all cases low-grade nickel-copper mineralization was encountered.     

秦巴地区次生金异常地表含矿性判别及矿体定位估算

在分析金粒在水系中运移、落淤和在土壤中扩散动力条件的基础上,本文建立了五万分之一水系沉积物测量金异常地表含矿性的判别公式,阐述了推算异常内矿石最高金品位的方法并计算了秦巴地区的判别指数;总结出万分之一土壤测量矿致金异常的标志特征、矿体定位的估算公式及各级次地形坡度角的系数和常数。这些公式、方法,有较大的实用意义。     

The identification of various types of geochemical stream sediment anomalies in Northern Ireland

A regional geochemical stream sediment survey of part of Northern Ireland led to the recognition of three types of base metal anomaly of exploration interest. These were significant anomalies of both elastic and hydromorphic origin, and non-significant hydromorphic anomalies in several upland areas. The significant anomalies are derived from Pb-Zn-Cu mineralization, whereas the non-significant anomalies are due to the leaching of Zn and other metals from acidic and/or gleyed soils and subsequent concentration in stream channels by coprecipitation with manganese oxides. Significant hydromorphic anomalies can be identified on the basis of abnormal Zn/Mn ratios and significant elastic anomalies on the basis of anomalous Pb contents. It is of the utmost importance to distinguish the dispersion mechanisms. Regional variations in bedrock geochemistry may only be identified when consideration is given to local dispersion mechanisms and account taken of the effects of variations in the surface environment on stream sediment composition. Changes in vegetation and land use may lead to rapid alterations in the nature of the dominant dispersion mechanisms.     

Application of limited fuzzy clusters to anomaly recognition in complex geological environments

In stream sediment and soil surveys, samples represent mixtures of components from different geological environments. Such mixed samples are misclassified when using conventional “hard” cluster methods. In fuzzy clustering, each sample is allowed to belong to several clusters. Similar to element concentrations, these cluster contributions can be displayed in contour maps (e.g. kriging maps). The amount of an element that is explained by the cluster contribution and element residuals can be calculated. The modified fuzzy clustering algorithm called “limited fuzzy clusters” used in this paper avoids negative residuals.Stream sediment data of Sierra de San Carlos, Tamaulipas, Mexico are used to demonstrate the possibilities of limited fuzzy clustering in geochemical exploration and mapping. From the different drainage systems, 681 stream sediment samples were taken and analyzed for 24 elements. A nineteen-element data set was used to calculate limited fuzzy clusters and element residuals. The contribution values for the clusters and element residuals are displayed in contour maps. All geological units were outlined by the cluster contributions. Extended anomalies are characterized by their own cluster. Small anomalies are clearly identified from the element residuals.