陕南勉略宁地区黑木林-硖口驿新元古代镁铁质岩锆石U-Pb年代学、地球化学特征及其构造意义

对于扬子板块西北缘新元古代早—中期(835～720 Ma)岩浆岩形成的构造背景尚存在较大争议。本文对陕南勉略宁地区碧口微地块内黑木林-硖口驿SSZ型(俯冲带上盘型)蛇绿混杂岩中的辉长岩、辉长闪长岩和变安山质玄武岩分别进行了锆石LA-ICP-MS U-Pb年代学、岩石学及岩石地球化学研究。研究结果表明,木瓜园辉长岩和变安山质玄武岩属岛弧拉斑玄武岩系列,稀土元素球粒陨石标准化配分曲线均呈右倾型,具有微弱的Eu负异常,微量元素原始地幔标准化图解显示其富集大离子亲石元素(LILE)和轻稀土元素(LREE)而亏损高场强元素(HFSE,如Nb、Ta等),与岛弧岩浆岩相似。黑木林、硖口驿辉长闪长岩属钙碱性系列。黑木林辉长闪长岩具与Bonin弧前玻安质岩石类似的地球化学特征,具较高的SiO₂含量(54.27%～56.79%)、MgO含量(11.10%～17.04%)和较低的TiO₂含量(0.08%～0.19%),富集大离子亲石元素Rb、Th、U和Pb,亏损高场强元素Nb、Ti,以及弱的Zr、Hf正异常等特征。硖口驿辉长闪长岩MgO含量较低(4.24%～8.9...     

南岭地区与中生代花岗岩类有关的有色、稀有金属矿床地质

<正> 南岭成矿区是指东西横亘于湘、桂、粤间的五岭山脉和赣、粤间九连山脉及其邻区有色、稀有金属矿床比较集中及其成矿作用相似的地区。 该区处于古亚洲构造城、特提斯-喜马拉雅构造域和滨西太平洋构造域的交叉复合部位,是多构造体系的联合作用地区。区内大地构造的发展历经地槽、地台和大陆边缘活动带三大阶段,包括雪峰、加里东、海西—印支、燕山和喜马拉雅各期运动,其中加里东期和印支期分别结束了地槽和地台的发展历史,燕山期是大陆边缘活动的鼎盛时期,是本区花岗岩成岩、成矿带重要时期。     

中国东南部中生代火山岩区域成矿条件

本文在对我国东南部中生代火山岩构造环境与区域成矿研究基础上,依据火山活动特点,从火山岩盆地性质;火山喷发旋回发育程度;火山岩盆地的主岩性;火山-侵入岩岩性与产出部位;活动断裂及其次级断裂;火山机构及其周围的构造;围岩蚀变等七个方面,对火山岩盆地的成矿条件进行分析,并指出在普查找矿中应如何正确运用。     

近地表低速带参数反演

阐明利用瑞雷面波反地表速度和厚度的可行性，并利用地震记录中的瑞雷面波数据，反演近地表低速带的厚度和速度，文中给出了实例试算，结果表明，面波资料的近地表参数反演将有利于勘探目标区的物理参数建模。     

近地表Q值求取及振幅补偿

利用面波衰减的Q模型，反演出近地表的Q值，据此，给出消除振幅受近地表影响的振幅静校正，利用时间剩余校正方法解决了振幅问题，实际计算结果表明本文方法能有效地去除振幅异常。     

多源信息的集成与融合及其在遥感制图中的优化利用

多源信息的集成和融合是地球信息科学领域的一大热点问题。它的意义和必要性与地球信息本身的特征、采集信息的手段特征及信息处理平台或系统的特点三方面紧密相联系。本文从不同传感器信息的集成和融合、遥感信息与非遥感地学信息的集成和融合、不同格式的 GIS数据的集成和复合三个方面研究了多源信息集成和融合的方法、前沿技术和应用领域,进而以黄土高原土壤侵蚀遥感调查和制图任务为例,介绍了多源信息集成和融合技术在该项目中的优化应用实例,包括技术流程分析、信息源分析、多源信息在土壤侵蚀遥感调查和制图中的融合方法、从遥感图像解译信息到 GIS数据库的转换技术等。     

井间地震走时波形层析成像方法

提出了井间地震走时波形顺序反演方法。该方法先利用井间地震走时反演得到速度模型的低频成分 ,然后用井间地震波形反演获得速度模型的高频成分。数值模型试验和实际应用结果表明 ,该方法反演稳健 ,提高了走时成像的分辨率 ,克服了波形成像易于陷入局部极小的缺陷 ,实现了快速高分辨率成像。     

多尺度快速匹配追踪多域联合地震反演方法

多尺度快速匹配追踪多域联合地震反演是一种通过地震数据多尺度分解的迭代反演方法.与此同时,在快速匹配追踪算法中引入低频模型约束,有效提高了收敛精度,使反演结果具有丰富的高低频信息.首先通过对大尺度地震资料进行反演得到低频背景.在此基础上,采用中尺度与小尺度地震数据进行逐级迭代用以获得高频数据,因而有效缓解了常规反演方法对于初始模型精度的依赖.最后利用理论模型与实际地震数据进行测试,通过与常规时间域反演方法的反演结果进行对比可以看出,本文方法在地层连续变化处依然可以对变化地层进行精确刻画,且在纵向分辨率提升的同时保持了较好的横向连续性.     

Fluxes of CO<Subscript>2</Subscript>, CH<Subscript>4</Subscript> and N<Subscript>2</Subscript>O from alpine grassland in the Tibetan Plateau

Using static chamber technique,fluxes of CO2,CH4 and N2O were measured in the alpine grassland area from July 2000 to July 2001,determinations of mean fluxes showed that CO2 and N2O were generally released from the soil,while the alpine grassland accounted for a weak CH4 sink.Fluxes of CO2,CH4 and N2O ranged widely.The highest CO2 emission occurred in August,whereas almost 90?of the whole year emission occurred in the growing season.But the variations of CH4 and N2O fluxes did not show any clear patterns over the one-year-experiment.During a daily variation,the maximum CO2 emission occurred at 16:00,and then decreased to the minimum emission in the early morning.Daily pattern analyses indicated that the variation in CO2 fluxes was positively related to air temperatures(R^2=0.73)and soil temperatures at a depth of 5 cm(R^2=0.86),whereas daily variations in CH4 and N2O fluxes were poorly explained by soil temperatures and climatic variables.CO2 emissions in this area were much lower than other grasslands in plain areas.     

CO<Subscript>2</Subscript> processes in an alpine grassland ecosystem on the Tibetan Plateau

In this paper, the CO2 concentrations profile from 1.5 m depth in soil to 32 m height in atmosphere were measured from July 2000 to July 2001 in an alpine grassland ecosystem located in the permafrost area on the Tibetan Plateau, which revealed that CO2 concentrations varied greatly during this study period. Mean concentrations during the whole experiment in the atmosphere were absolutely lower than the CO2 concentrations in soil, which resulted in CO2 emissions from the alpine steppe soil to the atmosphere. The highest CO2 concentration was found at a depth of 1.5 m in soil while the lowest CO2 concentration occurred in the atmosphere. Mean CO2 concentrations in soil generally increased with depth. This was the compositive influence of the increasing soil moistures and decreasing soil pH, which induced the increasing biological activities with depth. Temporally, the CO2 concentrations at different layers in air remained a more steady state because of the atmospheric turbulent milking. During the seasonal variations, CO2 concentrations at surface soil interface showed symmetrical patterns, with the lowest accumulation of CO2 occurring in the late winter and the highest CO2 concentration in the growine seasons.