甘肃北山大山头铜镍矿化基性-超基性岩成矿潜力研究

为了研究甘肃北山大山头含铜镍硫化物基性、超基性岩的成矿潜力,通过野外调查和室内综合对比研究,取得如下 认识及成果:(1)大山头岩体侵位于前寒武系中深变质碎屑岩与片麻状花岗岩中,为多期次侵位的杂岩体,早期以中细粒辉 长岩岩基为主,晚期为橄榄苏长辉长岩-二辉橄榄岩相基性-超基性岩,岩体分异明显,橄榄二辉岩全岩铜镍矿化(Cu 含量 0.08%~0.46%,Ni 含量 0.2%~0.37% ):(2)岩体常量和微量元素具岛弧基性超基性岩浆特征(例如岩体亏损高场强元素 Nb, Ta,Ti,Hf 及 Y 和 P,富集大离子亲石元素 Ba,Rb,Th,U,K 及 La 等);(3)磁法异常与岩体地表矿化一致,电法结果显示 岩体深部矿化更好(最大磁场强度值 600nT,视极化率(ηs)显示最大值可达 7.5%~12.1%);(4)岩体岩石地球化学特征与金川、 喀拉通克、红旗岭等相似,与甘肃黑山一致。因此,大山头有望成为储量规模不亚于甘肃黑山的铜镍硫化物矿床。     

塔里木盆地多期改造-晚期定型复合构造与油气战略选区

受关键构造变革期制约,叠合盆地具有分期差异变形特征。从变形角度分析,塔里木盆地可以追溯出5期主要的构造改造作用,即加里东中期、加里东晚期-海西早期、海西晚期、印支-燕山期和喜马拉雅期,并影响塔里木盆地的发展演化历史。通过对塔北、塔中和库车已知油气聚集区解剖表明:古生代多期改造形成的断裂、褶皱、隆升、剥蚀和岩溶作用,对台盆区巨型海相碳酸盐岩古岩溶油气藏的形成具有重要的控制作用;中、新生代多期改造过程,对前陆褶皱-冲断带大规模油气聚集成藏具有重要的控制作用;这些已知油气聚集区带都是在喜马拉雅晚期最终定型的,总体构成多期改造-晚期定型复合构造油气聚集模式。综合分析了塔里木新区分期差异构造变形特征,在此基础上,依据叠合盆地多期改造-晚期定型构造模式,对塔里木新区进行了区块评价和油气战略选区,认为巴楚隆起、麦盖提斜坡和西昆仑山前褶皱-冲断带是近期油气勘探突破的首选地区,塔东地区、塘古巴斯坳陷和阿瓦提断陷具有良好的油气勘探前景。     

黑龙江平顶山金矿赋矿花岗岩锆石U-Pb年龄、Hf同位素特征及其地质意义

平顶山金矿床位于佳木斯地块与松嫩地块的衔接处北端,地处中亚造山带的东段。前人对该矿床的岩(矿)石物理化学特征及地质特征已进行了研究,但对与成矿密切相关的花岗岩缺乏系统的岩石学、地球化学和高精度年代学等方面的研究。本次研究通过锆石的LA-ICP-MS U-Pb定年、Hf同位素示踪以及全岩的主、微量元素测试,探讨了平顶山金矿区赋矿花岗岩的源区特征、形成机制和构造背景。矿区花岗岩包括早期的浅色中粒二长花岗岩和稍晚期的细粒黑云母二长花岗岩,两期花岗岩的锆石U-Pb年龄分别为271.7±2.3 Ma和249.8±3.3Ma,对应的εHf(t)为-4.17～-0.58和-4.98～-0.49,两阶段平均模式年龄tDM2分别为1432 Ma、1457Ma,原始岩浆可能来源于中元古代增生的壳源物质的重熔。两期花岗岩均以高碱(Na2O+K2O)、富Al2O3、富集LREE和LILE(Rb、Ba、Th、U和K)、低MgO、贫HREE和HFSE(Nb、Ta、P和Ti)为特征,属高钾钙碱性系列的准铝质/过铝质I型花岗岩,代表了火山弧-同碰撞环境。结合中亚造山带东段构造演化历史,我们认为平顶山金矿的花岗岩可能是古亚洲洋向北俯冲、闭合、华北克拉通与佳-蒙陆块碰撞产物。     

朝不楞多金属矿外围1∶5万地电化学勘查应用

运用地电化学技术在内蒙古半干旱草原风成砂浅覆盖区朝不楞多金属矿外围开展了1∶50000面积性勘查工作,并与常规土壤测量开展了对比研究。结果表明:(1)从元素异常强度、衬度、规模及与已知矿体空间对应性等方面对比,地电化学测量比常规土壤测量具有显著优越性;(2)地电化学测量在区域上显现出Ag-Pb-Zn-Bi-Cd及Cu-Co-Cr-Fe-La-Mo-Ni两套元素异常组合,与已知见矿钻孔中探测到的矽卡岩型铁矿及热液型铅锌矿均有出现具有较好的对应性;(3)在工区东部及东南部未知区发现多处异常强度、规模较大的多元素组合异常,建议开展进一步的勘查工作,以实现该矿区找矿突破。     

南海边缘海多金属结核与大洋多金属结核对比

本文通过系统对比分析前人研究成果,研究了南海边缘海多金属结核的成矿特征,结果表明：南海边缘海结核的矿物组成与大洋结核相似,均主要由锰相矿物和铁相矿物组成,其中锰相矿物主要为水羟锰矿和钡镁锰矿,铁相矿物主要以无定型铁氧化/氢氧化物形式存在,另外南海边缘海结核中含有大量硅酸盐矿物,表明在南海结核成矿过程中受到大量的陆源碎屑矿物混杂;相对于大洋主要经济成矿区的多金属结核,南海边缘海多金属结核中主要的经济元素如Mn、Cu、Co、Ni和Zn质量分数较低,而亲陆源性元素如Fe、Ti、P、Nb、Pb、Rb、Sc、Ta、Sr、Th和REY（REE和Y）等质量分数较高;南海边缘海多金属结核的元素地球化学特征和REE配分模式显示其为水成成因,并呈现更低的Mn/Fe值;同时南海边缘海结核也具有较快的平均生长速率及较高的δCe正异常,表明其生长在更为氧化的海水环境。虽然较快的沉积物沉积速率和动荡的海水环境影响了南海边缘海结核的成矿,但大量陆源物质进入海洋也为南海边缘海结核提供了丰富的成矿物质来源,便于南海边缘海结核的快速生长成矿。南海边缘海结核富集有Fe、Ti、Pb、Rb、Th和REY等金属元素,同样可以作为极具潜力的海洋矿产资源。南海边缘海多金属结核具有其独特的地球化学特征,与大洋多金属结核存在着明显差异。     

Physical and chemical environments of abnormal vitrinite reflectance evolution in the sedimentary basins

Based on the tested data of pressure and vitrinite reflectance of some wells in sedimentary basins, abnormal high pressure is regarded as not the only factor to retard the increase of vitrinite reflectance (R _o). Apart from the types of the organic matter, the physical environment (temperature and pressure) and chemical environment (fluid composition and inorganic elements) will result in the abnormal vitrinite reflectance values in the sedimentary basins. This paper tested trace elements and vitrinite reflectance data from the the abnormal high pressure and normal pressure strata profiles, respectively, and found that the acidic and lower salinity starta are favorable for the increase of R _o. By discussing the corresponding relationship between the contents of some trace elements in the mudstone and the vitrinite reflectance values, the typical trace elements were found to suppress and/or catalyze the vitrinite reflectance of organic matter, while the elements of Ca, Mn, Sr, B, Ba and P may result in the retardation of R _o. However, elements of Fe, Co, Zn, Ni and Rb may catalyze the organic matter maturation. This study is conductive to the organic maturation correction, oil and gas assessment and thermal history reconstruction by the paleothermometry. Translated from Acta Geologica Sinica, 2006, 80(11): 1760–1769 [译自: 地质学报]     

A comparative study of landslide susceptibility mapping using weight of evidence,logistic regression and support vector machine and evaluated by SBAS-InSAR monitoring: Zhouqu to Wudu segment in Bailong River Basin,China

The determining of landslide-prone areas in mountainous terrain is essential for land planning and hazard mitigation. In this paper, a comparative study using three statistical models including weight of evidence model (WoE), logistic regression model (LR) and support vector machine method (SVM) was undertaken in the Zhouqu to Wudu segment in the Bailong River Basin, Southern Gansu, China. Six conditionally independent environmental factors, elevation, slope, aspect, distance from fault, lithology and settlement density, were selected as the explanatory variables that may contribute to landslide occurrence based on principal component analysis (PCA) and Chi-square test. The relation between landslide distributions and these variables was analyzed using the three models and the results then used to calculate the landslide susceptibility (LS). The performance of the models was then evaluated using both the highly accurate deformation signals produced by using the Small Baseline Subset Interferometric Synthetic Aperture Radar technique and Receiver Operating Characteristic (ROC) curve. Results show more deformation points in areas with high and very high LS levels, and also more stable points in areas with low and very low LS levels for the SVM model. In addition, the SVM has larger area under the ROC curve. It indicates that the SVM has better prediction accuracy and classified ability. For the interpretability, the WoE derives the class of factors that most contributed to landsliding in the study area, and the LR reveals that factors including elevation, settlement density and distance from fault played major roles in landslide occurrence and distribution, whereas the SVM cannot provide relative weights for the variables. The outperformed SVM could be employed to determine potential landslide zones in the study area. Outcome of this research would provide preliminary basis for general land planning such as choosing new urban areas and infrastructure construction in the future, as well as for landslide hazard mitigation in Bailong River Basin.     

Phosphorus fractions and bioavailability in relation to particle size characteristics in sediments from Lake Hongfeng, Southwest China

Information on the chemical composition of phosphorus (P) fractions in sediments is fundamental to understanding P bioavailability and eutrophication in lake ecosystems. Phosphorus fractions and its bioavailability in sediments cores of Lake Hongfeng, southwest China, were investigated using a chemical sequential extraction scheme. Relationships between P fractions, P bioavailability and particle sizes were discussed. P fractions concentrations were ranked in the order: Residual-P > NaOH–rP > NaOH–NRP > HCl–P > BD–P > NH₄Cl–P, and all of them decreased with increasing sediment depth. Statistical analysis showed that concentrations of bioavailable P (BAP) which includes the NH₄Cl–P, BD–P, NaOH–rP and NaOH–NRP fractions ranged from 404.68 to 1,591.99 mg/kg and accounted for 26.8–71.8 % of the concentrations of total phosphorus (TP) in the top 5 cm sediments, whereas in the whole sediment cores, their concentrations ranged from 239.70 to 1,591.99 mg/kg and accounted for 26.8–76.0 % of TP. The results suggested that the sediments were a large potential source of P for algae blooms in Lake Hongfeng. Phosphorus fractions and their potential bioavailability were influenced by the sediment particle sizes, especially the bioavailability of the NH₄Cl–P fraction, which was strongly affected by the presence of fine particle sizes in the sediments.     

D-InSAR-based landslide location and monitoring at Wudongde hydropower reservoir in China

Differential synthetic aperture radar interferometry (D-InSAR) has become a useful technique for monitoring ground movement. The technique enables the analysis of very small ground movements in continuous, large areas and has the advantages of high accuracy, high resolution, all-weather adaptability, low cost, and inaccessible area coverage. Thus, D-InSAR has been widely used in the investigation of geologic hazards, such as subsidence, landslide, earthquake, and volcanic activity. In this paper, D-InSAR is used to locate and monitor landslide movement in the wide area of Wudongde Hydropower Reservoir in Jinsha River, China. Five SAR acquisitions are obtained by using the phased array-type L-band synthetic aperture radar sensor of the Advanced Land Observing Satellite. Detailed moving displacement maps in two time periods are derived by using the D-InSAR technique, and potentially moving landslide areas, as well as landslide hazard areas, are then located. The L1R-6 landslide, which is in active state, is investigated in detail. The deforming tendency obtained via D-InSAR is consistent with that obtained via global positioning system (GPS) monitoring. Error analysis of the D-InSAR results is also conducted. Finally, the grid function interpolation method of error reduction, which combines D-InSAR and GPS, is proposed to reduce the single-point error in D-InSAR monitoring and is further verified by the considerable improvement in the accuracy of L1R-6 landslide monitoring.