新疆大红柳滩伟晶岩型锂矿深部结构与区域成矿模型解释

为揭示花岗岩- 伟晶岩型锂等稀有金属矿成矿系统的深部结构,对西昆仑造山带大红柳滩伟晶岩型锂矿集区开展了大地电磁测深法(MT)探测。通过MT三维反演电阻率模型,探测到两个0~20 km深度范围的高阻体,反映了出露于地表的大红柳滩复式花岗岩基和半隐伏的大红柳滩东花岗岩基;20~80 km深度范围内发现的大范围高导异常,则反映了深达上地幔的地壳重熔形成的大规模长英质岩浆储库。可见,成矿母岩大红柳滩花岗岩基是有根的,而且是规模巨大深达上地幔的岩浆储库,它们为超大型大红柳滩伟晶岩型锂矿的形成提供了物源和热源。与松潘- 甘孜甲基卡超大型伟晶岩型锂矿集区对比,尽管川西甲基卡地区地表出露的花岗岩有限,但MT三维反演电阻率模型显示,其也存在深达上地幔的大范围高导异常,同样反映了大规模长英质岩浆储库的存在,只是剥蚀深度浅,上侵的花岗岩未被剥蚀出来而已。从而,深剥蚀的大红柳滩地区表现为大面积花岗岩出露的“热隆”特征,而浅剥蚀的甲基卡地区则表现为花岗岩围岩“片麻岩穹隆”热变质构造特征。西昆仑- 松潘- 甘孜伟晶岩型锂等稀有金属巨型成矿带两端的晚三叠世超大型矿床是大规模地壳重熔长英质岩浆作用中心的产物,由于锂等稀有金属的喜水性,H2O的饱和度是造就伟晶岩型锂超常富集的关键,并在长英质岩浆储库、上侵花岗岩和伟晶岩不同分异演化阶段,锂的“预富集”为大规模伟晶岩型锂矿成矿奠定了重要基础。     

西昆仑-喀喇昆仑造山带锂矿成矿特征与成矿规律初探

西昆仑- 喀喇昆仑造山带中生代花岗伟晶岩相当发育,主要分布于麻扎- 康西瓦缝合带以南的喀喇昆仑造山带,构成了西自木吉—塔什库尔干,东到大红柳滩长达600 km的喀喇昆仑稀有金属成矿带。通过多年的研究,本文对西昆仑- 喀喇昆仑造山带37处稀有金属矿床(点)进行了全面系统的梳理,认为喀喇昆仑- 喀喇昆仑造山带表现为“西铍东锂”的格局,稀有金属成矿年龄集中213~206 Ma。将喀喇昆仑造山带稀有金属成矿带划分为木吉- 塔什库尔干稀有金属成矿亚带、赛图拉- 大红柳滩稀有金属成矿亚带,从西向东可划定4个矿化集中区：木吉- 布伦口稀有金属集中区、塔什库尔干- 塔吐鲁沟稀有金属矿化集中区、康西瓦稀有金属矿化集中区、大红柳滩- 白龙山稀有金属矿化集中区。同时,认为西昆仑- 喀喇昆仑造山带西段下一阶段的找矿可放在西合休南锂铍找矿远景区、阿然保泰铍找矿远景区、木吉西锂铍找矿远景区。     

铝片还原-硫酸铁铵容量法测定钛铁矿中高含量

试样经碱熔,盐酸提取的钛,在以盐酸、硫酸、磷酸组成的强酸性溶液体系中,利用铝片的强还原性,还原四价钛为三价钛。再用三价铁氧化三价钛为四价钛,过量的三价铁离子与硫氢酸根离子生成血红色络合物,根据此原理测定高含量钛。实验证明,溶液在此强酸性体系中,隔绝空气和控制时间的条件下,其含量范围在0.13%～100%内,测定结果准确度高。     

中国北方磷矿成矿预测

在中朝准地台、塔里木准地台边缘深断裂附近和台中隆起带以及天山-兴安、祁连-秦岭、额尔古纳几个地槽褶皱区的中间地带,不同程度地具备中国北方三种主要类型磷矿的成矿条件。研究分析认为中国北方的内生磷矿具有良好的找矿前景,绿岩带型磷矿和古元古代沉积变质磷矿显示一定的找矿潜力,沉积型磷矿一般品位低、规模小。通过归纳,在中国北方划分出磷矿的二级城矿区4个、三级成矿带15个、四级成矿亚带19个。圈定成矿预测区A级2个,B级C级各23个。确定了21处可开展进一步工作的地区。     

滇中富民县宝石洞旅游地质特征与成景机制探讨

滇中富民县宝石洞岩溶地下河洞穴景观系统规模适中,洞内岩溶景观千姿百态,洞中有宝(玛瑙),洞外有优美的生态环境和多元民族宗教文化以及潜在的温泉资源,加上优越的交通区位,旅游要素集群度较高,具较高开发价值.文章根据宝石洞地区区域地质背景,分析了该地区区域地史演化特征,根据本次对宝石洞的实地探测成果,总结了宝石洞旅游地质特征...     

世界主要海洋强国综合实力测评研究

文章在回顾世界海洋强国发展历程和分析现阶段发展特点的基础上,构建国家层面的海洋综合实力评价指标体系,并结合层次分析法和加权积决策理论建立了综合实力测评模型。通过选取世界上8个有代表意义的海洋强国,结合其海洋综合实力的现状分析,利用测评模型对其进行测评排序,为我国"海洋强国"战略的科学规划提供参考。     

海洋发光弧菌生长和发光条件的研究

海洋生物发光研究对渔业、环境监测等有着举足轻重的意义。根据从湛江东海岛海域沉积物样品中分离出的一株海洋发光弧菌(Vibrio sp.,编号为D2),对这株菌的生长和发光条件进行了初步研究。实验结果表明,海洋发光弧菌D2在pH7.0、温度35℃、NaCl浓度为2.0%时,生长状态最好;在pH5~6、温度20℃、NaCl浓度为3.0%、细菌密度OD600达0.08时,发光强度最高。     

Formation and evolution of the modem warm current system in the East China Sea and the Yellow Sea since the last deglaciation

To reconstruct the formation and evolution process of the warm current system within the East China Sea (ECS) and the Yellow Sea (YS) since the last deglaciation, the paleoceangraphic records in core DGKS9603, core CSH1 and core YSDPI02, which were retrieved from the mainstream of the Kuroshio Current (KC), the edge of the modem Tsushima Warm Current (TWC) and muddy region under cold waters accreted with the Yellow Sea Warm Current (YSWC) respectively, were synthetically analyzed. The results indicate that the formation and evolution of the modem warm current system in the ECS and the YS has been accompanied by the development of the KC and impulse rising of the sea level since the last deglaciation. The influence of the KC on the Okinawa Trough had enhanced since 16 cal kyr BE and synchronously the modem TWC began to develop with the rising of sea level and finally formed at about 8.5 cal kyr BP. The KC had experienced two weakening process during the Heinrich event 1 and the Younger Drays event from 16 to 8.5 cal kyr BP. The period of 7-6 cal kyr BP was the strongest stage of the KC and the TWC since the last deglaciation. The YSWC has appeared at about 6.4 cal kyr BP. Thus,the warm current system of the ECS and the YS has ultimately formed. The weakness of the KC,indicated by the occurrence of Pulleniatina minimum event (PME) during the period from 5.3 to 2.8 cal kyr BE caused the main stream of the TWC to shift eastward to the Pacific Ocean around about 3 cal kyr BP. The process resulted in the intruding of continent shelf cold water mass with rich nutrients. Synchronously, the strength of the YSWC was relatively weak and the related cold water body was active at the early-mid stage of its appearance against the PME background, which resulted in the quick formation of muddy deposit system in the southeastern YS. The strength of the warm current system in the ECS and the YS has enhanced evidently, and approached to the modern condition gradually since 3 cal kyr BP.     

基于改进BP神经网络的海底底质分类

通过采用遗传算法优化神经网络初始权值的方法,将GA算法与BP神经网络有机结合,应用于海底底质分类。基于多波束测深系统获取的反向散射强度数据,应用改进的BP神经网络分类方法,实现对海底基岩、砾石、砂、细砂和泥等底质类型的快速、准确识别。通过实验比较,GA-BP神经网络分类精度明显高于BP神经网络,证明了该方法的有效性和可靠性。