中国泥盆纪煤煤岩研究

中国泥盆纪煤是形成于一定地质历史条件下的特种煤、显微组成以富含角质本为特征，其它壳质组分、镜质组、惰性组含量均低。泥盆纪煤阶的确定可用角质体荧光参数、角质体反射率及富氢镜质组的反射率。     

瑞典北部古元代泰尔贝里斑岩型矿床的稳定同位素研究

泰尔贝里矿床位于瑞典北部谢莱夫特地区，是一个相当于显生宙斑岩型矿床的元古代矿床。矿化带位于恩花岗杂岩内，并与侵入的石英－长石斑岩有关。花岗质岩石与赋存块状硫化物矿床的长英质火山同期。     

用无Qem>谱方法测定震源谱的高频衰减

宽频带地震记录可以表示为震源时间函数、传播算子和散射/衰减算子的褶积．在传播算子与频率无关、地震波的散射和衰减效应可以用一个以Q-1= Q1-1+(Q2)-1的方式随频率变化的Q值来表示的情况下,通过位移谱的组合,可以直接估计震源谱;而Q值对地震图的影响,在频谱的组合中被自动消去．用这种算法处理了1988年中国云南省澜沧-耿马地震5次余震的近震源宽频带地震记录．对ML=3.0和ML=3.5余震的处理结果表明,由不同台站上的宽频带地震记录,可以得到相同的高频衰减趋势．对MS=6.7的强余震处理结果表明,可以从不同的地震台站上得到相同的震源参数,所估计的参数值也与用经验格林函数法得到的结果相吻合．这些余震震源谱的高频部分呈现出典型的f -衰减. 其中,对ML=3.0余震有 3;对MS=6.7和ML=4.0余震有 2;而对ML=3.5和另一个ML=3.0余震有 2.5． MS=6.7余震的拐角频率表明,它的震源尺度较小,意味着该余震是一个面积较小但强度较高的障碍体的破裂．      

地质矿产术语分类代码在地矿点源信息系统中的应用

论述了如何利用地质矿产术语分类代码来建立有关数据字典,如何在数据模式设计以及地质数据描述上采用这套代码,实现地质信息共享。重点论述了地在太点源信息系统中的方法和所要解决的问题。     

Mountain evolution and environmental changes of Huangshan (Yellow mountain),China

Huangshan(Yellowmountain)islocatedinsouthernpoofthelowerreaChesoftheYangtZemyer,30'31'Nand118"if'E.ItShigheStLotUSFlowerPeakis1864mabovesealevel.ItisoneofthetencelebretedscenicSPOtSinChinaandwasincludedintheWorldNaturalandCultulalHeritageListbyU'NESCOin1990.OneofthemajorreasonsforincludingitinthelistisbecauseofHuangshan'simPOrtantvalueforgeologicalacgeomorphicscienceicresearches.Inthe~es,Lee(1936)proPOsedthe"confinnatoryevidenceofPleistoceneglacinhonfromtheHuangshan"l'l.Inthesi…     

塔中西部走滑断裂破碎带结构及与油气关系

塔中Ⅰ号气田西部是塔中油气上产的重要领域,利用最新处理的叠前深度偏移资料,在断裂控储控藏认识指导下,开展走滑断裂解剖,落实富油气区域。研究区断裂可划分为两期三级3组断裂,形成于加里东期的北东向走滑断裂及其伴生裂缝是本区的控储控藏断裂,沿走滑断裂走向一般为非线性结构,通常可分为应力转换区和应力释放区。应力转换区包括岩桥、拉分地堑、地垒、局部鼻状构造等;应力释放区包括羽状、斜列破碎带等。应力转换区和应力释放区是油气最富集的区域,走滑断裂破碎带规模越大,储层越发育,油气越富集。     

Aircraft observations of electrical conductivity in warm clouds

Aircraft observations of electrical conductivity and cloud microphsical, dynamical and other electrical parameters were made in warm stratocumulus and cumulus clouds forming during the summer monsoon seasons (June-September) of 1983 and 1985 in the Deccan Plateau region, India. A Gerdien type cylindrical condenser was used for the measurement of electrical conductivity. The variations in the electrical conductivity are observed to be closely associated with the updrafts and downdrafts in the cloud, liquid water content, cloud droplet charge and coro-na discharge current. The value of electrical conductivity in warm clouds is found to be in the order of 10-12 ohm-1 m-1 which is two orders higher than that observed in clear-air at cloud-base levels in some regions by other investigators.Classical static electricity concepts predict reduced conductivity values inside clouds. Cloud electrical conductivi-ty measurements, particularly in warm clouds are few and the results are contradictory. The recently identified mech-anism of vertical mixing in clouds lends support to coovective charge separation mechanism with inherent larger than clear-air values for cloud electrical conductivity and therefore consistent with the measurements reported herein.