山东省重点地区矿产勘查开采遥感动态监测探析

为打击各类违法采矿行为,自2007年起山东省在全省基岩裸露区开展了多轮次矿产勘查开采遥感动态监测,及时发现了各类违法勘查开采矿产资源行为,为监测区矿产资源监管提供了执法依据。结合山东省矿产勘查开采遥感动态监测工作现状,探讨了矿产勘查开采遥感动态监测相关工作内容及要求。     

江苏危机矿山深部及外围潜力资源找矿

介绍了危机矿山的定义.对江苏省主要固体矿产矿山的危机程度进行了综合分析.叙述了能源矿产、金属矿产和其他非金属矿产等矿山所属的危机程度.指出了危机矿山存在的主要问题,即矿产资源保证程度低;资源潜力依据充分,但找矿难度大.就江苏危机矿山深部及外围潜力资源找矿工作,提出了一些建议.     

活性MgO碳化固化土的抗硫酸盐侵蚀性研究

既有研究表明,活性MgO固化土经CO2碳化几小时后其强度能达到甚至超过28 d的水泥固化土强度,碳化反应生成镁的碳酸化合物能有效降低固化土的含水率和孔隙率,提高土颗粒胶结能力。通过室内试验进一步研究碳化固化土的抗硫酸盐侵蚀特性。采用硫酸钠溶液、硫酸镁溶液浸泡碳化固化土,对浸泡不同龄期后的碳化固化土进行无侧限抗压强度试验和微观测试（XRD,SEM和MIP）,并与硫酸盐侵蚀后的水泥固化土进行试验对比。结果表明：活性MgO固化粉土碳化3 h,试样的无侧限抗压强度可达5 MPa左右,经硫酸盐溶液浸泡28 d后其强度基本保持不变,试样质量变化也不大;而水泥土试样的早期强度（7 d）则有一定增长,随龄期增长,强度大大降低,质量则明显增长。通过对硫酸盐侵蚀前后的碳化土的微观机制分析,发现活性MgO碳化固化土中的镁碳酸化合物的化学成分并未发生明显变化,孔隙结构也未明显改变,从而保证其强度稳定。因此,活性MgO固化粉土碳化后具有比水泥固化土更强的抗硫酸盐侵蚀能力。     

钢铁厂周围不同污染介质的磁学性质及环境意义

为了通过钢铁厂周围不同污染介质的磁学性质研究,实现对环境污染的有效监测,本文系统地采集了河北兴隆和湖南娄底两个钢铁厂周围的树皮和草表面的飞灰、土壤及不同树种的年轮样品.其中前三者用来反映现今污染源,而树木年轮用来追踪长时间尺度的污染历史.通过综合岩石磁学实验分析（包括热磁曲线、磁滞性质和低温实验等）、电子扫描电镜(SEM)和能谱(EDX)以及X射线衍射(XRD)分析,发现钢铁厂周围现今污染源中的主要粗颗粒磁性矿物为磁铁矿、赤铁矿和纯铁.其中8~50 μm的球形磁铁矿颗粒和呈棱角状的铁颗粒是钢铁厂污染物的特征磁性矿物.对不同树种来说,其中香樟树和枫树树木年轮中的磁性矿物以顺磁性物质为主, 不适合用于环境磁学的污染监测.而柳树中的磁性矿物（主要为磁铁矿）与现今污染源的磁性矿物相符.以上研究表明多参数岩石磁学测量并辅以微观分析等手段,可以精确地提取磁性矿物的种类及粒度特征, 判别重工业区污染源,为应用磁学方法来监测环境污染提供依据.     

山东岚山I型与A型复合片麻状变质花岗岩：年代学、地球化学及其构造指示意义

在山东日照岚山地区,出露有原岩为新元古代岩浆活动产物的I型与A型复合的片麻状变质花岗岩体,前者特征矿物组合为石英+钾长石+斜长石+黑云母,而后者则为石英+钾长石+斜长石+霓石+亚铁钠闪石+黑云母。锆石LA-ICP-MS U-Pb定年结果表明,I型片麻状变质花岗岩的原岩成岩年龄为795±32Ma,而A型片麻状变质花岗岩的原岩年龄则为772±26Ma,二者均经历了早中生代的超高压变质作用,并在220Ma左右遭受强烈的角闪岩相退变质作用的改造。地球化学上,I型和A型片麻状变质花岗岩均具有高硅、富铁和贫镁的特征,但A型片麻状变质花岗岩更富碱贫铝,其铝饱和指数仅为0.88~0.94,表现为准铝质,而I型片麻状变质花岗岩则具有准铝-弱过铝的特点（A/CNK=0.94~1.01）。在微量和稀土元素方面,A型片麻状变质花岗岩较I型稀土总量高,且具有高场强元素富集的特征,富Ga,10⁴×Ga/Al值为2.77~3.89。二类片麻状变质花岗岩具有不同的Nd同位素组成,ε_Nd (t)值分别为-6.26 ~ -8.00和-3.73 ~ -5.20,指示它们应具不同的岩浆源区,元素结晶分异模拟显示二者岩浆演化的历程也存在差异。岚山片麻状变质花岗岩叠加有弧和裂谷双重岩浆活动的地球化学印记,它们与由地幔柱上隆所引发的主动裂谷背景下岩浆作用产物的特征存在明显差别。I型与A型复合片麻状变质花岗岩的产出指示扬子板块北东缘在片麻状变质花岗岩原岩形成时（795~770Ma）应处于弧后伸展引发的被动裂谷环境的初始阶段。     

Flotation and depression control of arsenopyrite through pH and pulp redox potential using xanthate as the collector

The role of pH and pulp redox potential (E_H) to control the flotation and depression of arsenopyrite has been investigated through studies on microflotation of arsenopyrite crystals and batch flotation of an arsenopyritic ore using isopropyl xanthate as collector. The transition between flotation and depression of arsenopyrite is established by the reversible potential of the xanthate/dixanthogen couple. Adsorption of arsenate ions on ferric hydroxide has been studied through electrokinetics to delineate mechanisms involved in the depression of arsenopyrite using oxidants. Chemical binding between arsenate species and ferric hydroxide sites on arsenopyrite is suggested as the mechanism responsible for depression of arsenopyrite. E_H conditions are given for the flotation and depression of arsenopyite at various pH values for the arsenopyritic ore.     

罗布泊地区凝结水对潜卤水资源量评价的影响分析

新疆罗布泊地区属于极端干旱气候地区,大气降水对地下水的补给极其有限,长期以来,众多学者认为凝结水量是罗布泊干盐湖潜卤水的重要补给来源之一。本次通过在罗北凹地地区开展的凝结水试验,较准确地计算了其补给资源量,指出尽管研究区凝结水总生成量较大,但真正能入渗补给到潜卤水饱水带的量却极少,绝大多数凝结水都以难以开发利用的土壤水形式短暂保存,被蒸发散失到大气中,对潜卤水资源量评价影响较小。     

Delineation of potential exploration targets based on 3D geological modeling: A case study from the Laoangou Pb-Zn-Ag polymetallic ore deposit,China

The Laoangou Pb-Zn-Ag polymetallic ore deposit (LAG) is a hydrothermal vein-type deposit in the East Qinling polymetallic metallogenic belt, which is controlled by NW-, NE- and nearly SN-trending faults and mainly hosted in the dolomite marble of Meiyaogou and Baishugou formations within the Luanchuan ore district (LOD). Although district-scale metallogenic prediction related to the Pb-Zn-Ag deposits in the LOD has been attempted, there have been no studies to formulate a detailed deposit-scale metallogenic prediction of the Pb-Zn-Ag deposit in 3D space. Here we selected the LAG to formulate a metallogenic prediction model for Pb-Zn-Ag deposit based on data from 1:10,000 scale geological map, and 66 boreholes and 39 sections of exploration lines on 1:1000 scale, to extract the salient spatial features of the deposit. We apply ordinary weights and weighted weights of evidence, followed by boosted weights of evidence, logistic regression and information entropy for integrating the features of the ore deposit for exploration targeting. The C–V fractal method is applied to classify the probabilities. Accordingly, three levels of exploration targets are delineated: the first level targets are mainly distributed in the periphery of known orebodies (M2, M3, II-3 and VI), which are also located in the ore-controlling strata and fault zones; the second level targets are located in the region of known orebodies, indirectly confirming that the prediction result is reliable; and the third level targets, which are mainly located at the contact between ore-controlling strata and metagabbro bodies, offer new targets for exploration in this ore district. Combining our results obtained in this study with those in previous studies, we provide some guidelines for exploration targets in the Pb-Zn-Ag deposits in the LOD, which might help in more effectively delineating the target zones.     

Mineralogy and heavy metal content in sediments from Rio Gato,Carelmapu and Cucao,Southern Chile

In southern Chile, with a mild and rainy climate, high levels of heavy metals have been detected in many gold placer deposits. Many of the contaminants pose risks to human life, and consequently damage the trofic chain in this environment. The study zones selected correspond to the handicraft gold-bearing sands of Rio Gato (Los Muermos), Carelmapu and Cucao. These are all located in the X Region of “Los Lagos” in Chile. The type of methodology used in the characterization of the associated mineralization consists of testing each representative sample with a grain size distribution, statistical parameter analysis and a mineralogical analysis, using a binocular magnifying glass, a petrographic microscope, XRD and SEM/EDX. The chemical composition was defined by means of X ray fluorescence and micro-chemical analysis. The results of the study about sediments in southern Chile are presented. The major concentrations of heavy minerals are generally located in areas of dynamic river energy. In the samples, more than 70% of the heavy minerals were distributed among grain sizes corresponding to thin sand with good grain selection (meshes of 0.25–0.06 mm). The main mineral phases present in the analysed samples were gold, zircon, olivine, ilmenite, hornblende, hypersthene, hematite, garnet, chromite, chlorite, augite, amphibolitic-epidote, etc. The main heavy metals found as a result of the study were mercury, lead, cadmium, chrome, tellurium, indium, zinc, cobalt, copper, platinum, gold, etc., and as well some less common elements like cerium, praseodymium, gadolinium, neodymium, samarium and lanthanum. This research work is only a starting point for carrying out a risk probability mapping of heavy metals and the mineralogy of the Cucao, Carelmapu and Rio Gato gold-bearing sands.     

Quantification of mineral matter in the Argonne Premium Coals using interactive Rietveld-based X-ray diffraction

The mineral matter in the eight reference North American coal samples of the Argonne Premium Coal series has been investigated on a quantitative basis using X-ray diffraction (XRD) techniques. X-ray diffraction data obtained from electronic low-temperature (oxygen–plasma) ash (LTA) residues, from ashes produced by heating the coals in air at 370°C, and also from the raw coals themselves, were evaluated using an interactive data processing system ( ™) based on Rietveld interpretation methods. The results from the three types of material (LTA, 370°C ash and raw coal) were compared for each sample. This allowed the components present in the raw coals in crystalline form to be recognised separately from mineral artifacts produced, particularly in the low-rank coals, from interaction of organically associated elements (Ca, S, etc.) during the two ashing processes.After the allowance for the production of any artifacts, the quantitative mineral assemblages identified from XRD of the raw coals were found to be consistent, even for coals having a relatively low ash percentage (around 5%), with the results obtained from the respective mineral concentrates prepared by the ashing methods. The effects of heating the coal to 370°C could also be distinguished, relative to the raw coal or the LTA, through changes in components such as pyrite and the clay minerals.Although some areas of uncertainty exist, particularly with magnesium in the low-rank coals, the calculated chemical compositions of the coal ash derived from the mineral mixtures identified for each coal were also found to be consistent with the results of direct chemical analysis of the respective coal ash materials.