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Saishitang Cu-polymetallic deposit is located in the southeast section of Late Paleozoic arcfold in the southeastern margin of Qaidam platform. Accoring to the geological process of the deposit,four mineralization episodes were identified: melt/fluid coexisting period(O),skarn period(A),first sulfide period(B) and second sulfide period(C),and 10 stages were finally subdivided. Three types of inclusions were classified in seven stages,namely crystal bearing inclusions(type I),aqueous inclusions(type II) and pure liquid inclusions(type III). Type I and II inclusions were observed in stage O1,having homogenization temperature from 252 to 431°C,and salinities ranging from 24.3% to 48.0%. Type I inclusion was present in stage A1,having homogenization temperature from 506 to 548°C,and salinities ranging from 39.4% to 44.6%. In stage B1,type II and III inclusions were observed,with homogenization temperature concentrating between 300–400°C,and salinities from 0.4% to 4.3%. Type II inclusions were present in stage B2,with homogenization temperature varying from 403 to 550°C. In stage C1,type I and II inclusion commonly coexisted,and constituted a boiling inclusion group,having homogenization temperatures at 187–463°C,and salinities in a range of 29.4%–46.8% and 2.2%–11.0%. Type II and III inclusions were developed in stage C2,having homogenization temperature at 124–350°C,and salinities ranging between 1.6% and 15.4%. In stage C3,type II and III inclusions were presented,with a homogenization temperature range of 164–360°C,and salinities varying from 4.0% to 11.0%. The results of micro-thermal analysis show that fluids are characterized by high temperature and high salinity in stage O1 and A1,and experienced slight decrease in temperature and dramatic decrease in salinity in stage B1 and B2. In stage C1,the salinity of fluid increased greatly and a further decrease of temperature and salinity occurred in stage C2 and C3. Fluids boiled in stage C1. With calculated pressure of 22 MPa from the trapping temperature of 284–289°C,a mineralization depth of 2.2 km was inferred. Results of Laser Raman Spectroscopy show high density of H2 O,CH4 and CO2 were found as gas composition. H-O isotope study indicates the oreforming fluids were the mixture of magmatic water and meteoric water. Physicochemical parameters of fluids show oxygen and sulfur fugacity experienced a decrease,and redox state is weakly reducing. Along with fluid evolution,oxidation has increased slightly. Comprehensive analysis shows that melt exsolution occurred during the formation of quartz diorite and that metal elements existed and migrated in the form of chlorine complex. Immiscible fluid separation and boiling widely occurred after addition of new fluids,bringing about dissociation of chlorine-complex,resulting in a great deal of copper precipitation. In conclusion,Saishitang deposit,controlled by regional tectonics,is formed by metasomatism between highly fractionated mineralization rock body and wall rock,and belongs to banded skarn Cu-polymetallic deposit. 相似文献
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CHEN Guohui LU Shuangfang LI Jinbu WANG Weiming TIAN Shansi SHAN Junfeng HU Yingjie MAO Jinli HAN Xia 《《地质学报》英文版》2015,89(Z1):8-10
<正>1 Introduction There is a set of organic rich shale at E22S4sub-member in damnintun sag.The organic material is typically type I.In recent years,breakthrough was obtained in shale oil exploration.The wettability of organic and inorganic pore is different.As a result,the mobility of oil in organic and inorganic pore is different.So it’s necessary to distinguish 相似文献
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生物圈中广泛分布着自然酸性环境和人造酸性环境,为嗜酸微生物(最适生长p H3)提供了生存场所。嗜酸微生物在铁和硫等重要元素的地球化学循环等方面起着重要作用,可应用于冶金领域,具有流程短、成本低、环境友好等优势,目前已经成功地应用于铜、金、铀等金属的提取,成为世界矿物加工的前沿技术。该技术在国外已经实现工业化生产,中国也在逐步推广应用,但仍然存在浸出率和浸出效率低等问题。本文主要介绍嗜酸微生物和生物冶金技术的研究进展,为加强基础理论和应用技术研究提供启示。 相似文献
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传统的RTK(实时动态定位)终端检测采用静态基线数据解算的方法,该检测方法与RTK终端实际动态应用场景不符,无法满足动态检测需要。通过研制高精度的车载导航基准设备和开发车载动态检测软件,同时解决车载设备数据的同步问题,提出基于车载移动平台的实时动态RTK终端检测技术。车载基准设备和待检测设备可以动态解算同源数据并实时上发结果,软件处理中心通过比对处理解算结果,对待检测设备进行检测评价。实验结果表明,设计所得的车载系统可稳定运行,并实现动态检测过程。同时,在良好的观测条件下,检测精度平面方向达到1cm,高程方向达到2cm,实现高精度实时动态检测的目的。 相似文献
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杭州市典型雨转雪天气成因及预报模型 总被引:1,自引:0,他引:1
利用2008—2018年的NCEP(1°×1°)再分析资料、常规气象观测资料和降雪加密观测资料,选出杭州地区10次典型的雨转雪天气过程,从大尺度环流背景和动力、水汽以及热力因子等物理量场结构方面展开研究,最终得出杭州冬季典型雨转雪天气的预报模型:①大尺度环流配置需满足能为雨转雪天气的形成提供有利的水汽、动力抬升以及中低层上暖下冷的逆温或等温层结条件;②水汽和动力因子等物理量须满足产生纯雪的特定条件;③杭州温度层结须为T_(2m)≤1.5℃、T_(925)≤-4.0℃、T_(850)≤0℃、T_(700)≤-1.0℃和T_(500)≤-10.0℃。此外,进一步补充了杭州可能产生大雪甚至暴雪量级降雪的特定条件。最终选取2019年初的2次典型降水过程进行预报回报检验。 相似文献
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基于1960-2018年的日降水资料,计算辽河流域降水集中指数(CI),分析日降水集中程度的时空特征。结果表明:降水集中指数CI可以有效描述辽河流域降水集中程度,辽河流域年CI指数平均为0.67,降水集中程度总体呈现出东部和西部低、南部和北部高的鞍型空间分布特征;夏季降水集中程度最高,各站点季平均CI指数为0.65,空间分布与年分布较一致,冬季平均CI指数最低,为0.60,由东南向西北递减;研究时段内年CI指数表现为不显著的减小趋势,其中东部区域减小的趋势最大;各子区域年CI指数平均变化周期为3 a左右,其中1985年以前,变化周期较短,在2 a左右,1985年以后,变化周期超过3 a。 相似文献