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981.
A Preliminary Review of Metallogenic Regularity of Copper Deposits in China   总被引:3,自引:0,他引:3  
Copper resources in China are rich, but imported copper products are still required. Researches on metallogenic regularity of major types of copper deposits by geologists have involved in worldwide classification, significant copper belts, representative copper deposits, etc. Studies on metallogenic regularity of copper deposits in China also have made achievements with a long-term work. Combined with latest exploration advances obtained in recent ten years, this review aims to conclude the achievements of researches on copper metallogenic regularity in China. Based on data of 814 copper deposits and other ore (mineralized) occurrences, ten prediction types of copper deposits have been suggested. Porphyry and skarn copper ores are taken as the key targets. Porphyry copper deposits are the most important one which concentrate in Gangdese, Changdu-Sanjiang, Dexing and East Tianshan. The Cenozoic and Mesozoic are the major metallogenic epochs. Four main metallogenic epochs are been studied based on the copper ore geochronological data including Precambrian Era (Archean and Proterozoic), Paleozoic Era, Mesozoic Era and Cenozoic Era. Based on the study of metallogenic series of ore deposits in China, twenty-seven metallogenic series of copper deposits are proposed. This is suggested to deepen the study of metallogenic regularity of copper ore and provide the theory guide for copper resources prediction in China.  相似文献   
982.
A Preliminary Review of Metallogenic Regularity of Gold Deposits in China   总被引:2,自引:0,他引:2  
Gold is one of the most important mineral resources in China with its rich mineral resources. In recent years,significant progress has been made on the process of gold resource exploration. Some large and giant gold deposits were newly found and some important expansions in the main mining regions were also been completed. Studies on metallogenic regularity of gold deposits in China also have made achievements with a long–term work. This review aims to conclude the achievements of research on gold metallogenic regularity in China. Based on the data of about 2000 gold deposits and other ore(mineralized) occurrences,gold deposits in China were classified into five prediction types: gold deposits genetically related to granite–greenstone formation,gold deposits related to sedimentary formation(including the Carlin type and the metamorphosed clastic rock related vein gold deposit),gold deposits genetically related to volcanic rocks(including the continental and marine types),gold deposits genetically related to intrusions(including the porphyry type and the inner intrusion and contact zone related gold deposit),gold deposits of supergenesis(including fracture zone–altered rock gold deposit,placer gold deposit,gossan type gold deposit and soil type gold deposit). Statistics on precise chronology data of gold deposits indicate that there occurred 5 main periods of gold–mineralization in geological history of China. They were Neoarchean to Paleoproterozoic,Meso–Neoproterozoic,Paleozoic,Mesozoic,and Cenozoic. Gold deposits in China mainly formed in the Mesozoic and the Cenozoic. On the studies of the spatial–temporal distribution characteristics of gold deposits,53 gold–forming belts were delineated in China. The metallogenic regularity of gold deposits was preliminarily summarized and 71 gold metallogenic series were proposed in China. This suggests that it is necceary to deepen the study on metallogenic regularity of gold deposits and to provide the theory guide for the ore–prospecting for gold resources in China.  相似文献   
983.
PM2.5是威胁人体健康的主要大气污染物之一。大量研究关注近地面PM2.5浓度的监测及其时空分布,但目前针对PM2.5排放及其与近地面浓度之间的关联研究较为缺乏。本文通过2000—2014年近地面PM2.5浓度格网数据和PM2.5排放格网数据,采用长时间序列分析法对PM2.5浓度和PM2.5排放从定性和定量两个角度进行时空变化趋势对比研究,并进一步结合标准差椭圆法和趋势分析法,分析了我国近地面PM2.5浓度和PM2.5排放的时空变化特征及其关联。结果表明,从总体时间序列趋势上,近地面PM2.5浓度和PM2.5排放之间在空间分布上基本呈现一致性,集中在胡焕庸线以东的人口密集区,但在时间上,PM2.5浓度和排放之间存在动态变化时间差。且PM2.5浓度的变化更为明显,2000—2007年高于35 μg/m3的国土面积占比增加了14.26%,2007—2014年减少了2.84%;从标准差椭圆分析来看,PM2.5浓度椭圆和排放椭圆在覆盖面积和方位角上与人口和经济分布吻合,但前者面积更大,长轴更接近于东西方向,二者存在约17°差异,而两类椭圆的中心位置随时间变化呈现出较一致的轨迹特征并呈现出滞后特点;此外,受大气扩散、点源排放等因素影响,PM2.5浓度变化趋势与排放变化趋势在胡焕庸线以东并不完全一致,部分区域排放呈降低趋势而浓度则反而呈升高趋势。因此,从全国层面来看,减排政策对浓度降低在时间上虽存在滞后,但边际效益显著,并已显露成效;而从局地来看,受地形、气象条件和大气化学过程等复杂影响,二者的变化在空间上仍会存在差异,有待进一步深入研究;从防控措施来看,在继续加强落实本地减排政策的同时,应考虑污染物的扩散迁移规律,加强联防联控,有效改善空气质量。  相似文献   
984.
针对GNSS坐标时间序列中存在数据缺失的问题,提出将Prophet模型应用于GNSS坐标时间序列的插值中。设计不同的数据随机缺失比例和连续缺失长度,使用Prophet模型、拉格朗日法和三次样条法进行对比实验。结果表明,Prophet模型在GNSS坐标时间序列中具有更高的插值精度并能够保持较好的稳定性,且对于连续缺失的数据插值有着明显的优势。  相似文献   
985.
?????GEO??????????????????????????????????????????????????????????????????????????????????????????е????????????в???????????????????????????????????????????????????????в??????????????????????????AR????в??????????????????????????????????????????????????????????????????????????????ζ??????????????????????????????????????????????????????????????????GEO?????????????Ч???  相似文献   
986.
稳恒水波的Fourier近似解研究   总被引:1,自引:0,他引:1  
A computational method for steady water waves is presented on the basis of potential theory in the physical plane with spatial variables as independent quantities. The finite Fourier series are applied to approximating the free surface and potential function. A set of nonlinear algebraic equations for the Fourier coefficients are derived from the free surface kinetic and dynamic boundary conditions. These algebraic equations are numerically solved through Newton's iterative method, and the iterative stability is further improved by a relaxation technology. The integral properties of steady water waves are numerically analyzed, showing that (1) the set-up and the set-down are both non-monotonic quantities with the wave steepness, and (2) the Fourier spectrum of the free surface is broader than that of the potential function. The latter further leads us to explore a modification for the present method by approximating the free surface and potential function through different Fourier series, with the truncation of the former higher than that of the latter. Numerical tests show that this modification is effective, and can notably reduce the errors of the free surface boundary conditions.  相似文献   
987.
采用1985-2012年数据,利用时间序列分析方法,建立了刻画我国出国留学人数变动的模型ARIMA(2,2,2),得到较好的预测效果.同时研究了出国留学人数与我国城镇居民人均消费性支出之间的关系,建立了相应的模型,并进行了Granger 因果关系检验.结果表明:出国留学生数的对数每增加1%,城镇居民人均消费性支出的对数将增加近0.06%.  相似文献   
988.
针对多变量时间序列(MTS)的异常点的探测问题,提出了采用由粗到细的二次探测方案.基于滑动窗口数据的置信区间,构造了变化趋势值特征和相对变化趋势值特征分别用于二次探测,同时研究了特征的快速提取算法.通过对OPEN3000数据监测系统采集的事故发生前后某市城南变电站各设备表的数据集进行异常点探测,结果表明提出的算法能够快速准确地探测出异常点的位置.  相似文献   
989.
内蒙古中部地区中—新元古代黑色岩系发育,形成于渣尔泰-白云鄂博裂陷槽内,命名为渣尔泰群和白云鄂博群。目前,仅在白云鄂博群的黑色岩系中发现并勘查了一批原生金矿。矿石主要类型为细脉型和蚀变变质岩型。金矿受层位和构造破碎带控制,金平均品位低,可形成大型或超大型矿床。因此,内蒙古中部中—新元古代黑色岩系中金矿资源潜力大,找矿远景好。  相似文献   
990.
Forest cover plays a key role in climate change by influencing the carbon stocks, the hydrological cycle and the energy balance. Forest cover information can be determined from fine-resolution data, such as Landsat Enhanced Thematic Mapper Plus (ETM+). However, forest cover classification with fine-resolution data usually uses only one temporal data because successive data acquirement is difficult. It may achieve mis-classification result without involving vegetation growth information, because different vegetation types may have the similar spectral features in the fine-resolution data. To overcome these issues, a forest cover classification method using Landsat ETM+ data appending with time series Moderate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data was proposed. The objective was to investigate the potential of temporal features extracted from coarse-resolution time series vegetation index data on improving the forest cover classification accuracy using fine-resolution remote sensing data. This method firstly fused Landsat ETM+ NDVI and MODIS NDVI data to obtain time series fine-resolution NDVI data, and then the temporal features were extracted from the fused NDVI data. Finally, temporal features combined with Landsat ETM+ spectral data was used to improve forest cover classification accuracy using supervised classifier. The study in North China region confirmed that time series NDVI features had significant effects on improving forest cover classification accuracy of fine resolution remote sensing data. The NDVI features extracted from time series fused NDVI data could improve the overall classification accuracy approximately 5% from 88.99% to 93.88% compared to only using single Landsat ETM+ data.  相似文献   
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