珠江口盆地深水区晚中新世以来构造沉降与似海底反射（BSR）分布的关系*

2007年中国在南海北部神狐海域通过钻探首次获得天然气水合物样品,证实了珠江口盆地深水区是水合物富集区。通过对珠江口盆地深水区构造沉降史的定量模拟研究,发现晚中新世以来区内构造沉降总体上具有由北向南、自西向东逐渐变快的演化趋势;从晚中新世到更新世,盆地深水区经历了构造沉降作用由弱到强的变化过程：晚中新世(11.6～5.3 Ma),平均构造沉降速率为67 m/Ma;上新世(5.3～1.8 Ma),平均构造沉降速率为68 m/Ma;至更新世(1.8～0 Ma),平均构造沉降速率为73 m/Ma。而造成这些变化的主因是发生在中中新世末-晚中新世末的东沙运动和发生在上新世-更新世早期的台湾运动。东沙运动（10～5 Ma）使盆地在升降过程中发生块断升降,隆起剥蚀,自东向西运动强度和构造变形逐渐减弱,使得盆地深水区持续稳定沉降;台湾运动（3 Ma）彻底改变了盆地深水区的构造格局,因重力均衡调整盆地深水区继续沉降,越往南沉降越大。将似海底反射（BSR）发育区与沉降速率平面图进行叠合分析,发现80％以上的BSR分布趋于构造沉降速率值主要在75～125 m/Ma之间、沉降速率变化迅速的隆坳接合带区域。     

一次“高影响天气”的弱降雪过程的数值研究

该文对2001年12月7日下午北京的一次弱降雪天气过程进行了诊断分析和数值模拟研究。诊断结果表明：北京地区由于受500 hPa小槽东移及850 hPa东移小高压后部带来的来自东海和南海的偏南暖湿气流共同影响,造成降雪。数值模拟结果显示：MM5模式对这次降雪过程具有较好的模拟能力,不仅模拟出了北京地区的降雪量,而且对这次过程大尺度背景场的演变、触发机制和水汽源有很好的表述。利用诊断分析和数值模拟结果,对这次弱降雪过程引起交通大阻塞的可能因素进行了探讨,说明建立城市预警系统的迫切性。     

多种类植被覆盖地区ASTER影像岩石、土壤信息提取方法研究

植被的发育限制了遥感在地质学方面的应用,特别是在多种类植被发育地区不能直接地根据波谱特征进行岩石与矿物方面的填图.利用线性波谱分离等技术方法可以从植被、基岩或土壤混合信息中区分出多类别植被波谱,从像元混合光谱中减去各植被类型所占的像元光谱强度,从而可以求出土壤光谱强度及其所占的份额,有效剥离出岩石和土壤信息.在试验区利用多种类植被干扰消除方法,进行遥感蚀变矿物和岩石填图,具有极大的可靠性.该技术可以在中等植被发育地区的遥感填图中得以推广和应用.     

Paleoproterozoic Extensional Structure and Its Controlling on Mineralization in the East of Liaoning Province

IntroductionThe area of eastern Liaoning is an importantmetal and nonmetal metallogenetic district in China,and the Liaohe group is one of the most importantstrata that hosts Pb, Zn, Au, B and Mg etcstratabound deposits. Up to now many geo1ogistssuch as Z…     

湛江港风暴增水特征分析

本文在统计1950－1997年影响湛江港的热带气旋的基础上，利用1953－1982年30年间湛江港发生的风暴增水的资料，对湛江港风暴增水的总体特征进行了分析，总结出湛江港风暴增水的特征在于季节分布的不均匀、大的正增水和高实测水位出现频繁、造成的风暴潮灾比较严重；通过两类典型风暴潮的详细分析，结果表明：湛江港的风暴增水与影响湛江的热带气旋密切相关，大的风暴增水主要由台风引起，湛江港的地理位置也是影响风暴增水的重要因子。     

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应对巨大地震的应急流动观测系统

通过“十五”数字地震观测网络项目建设,目前。我国的地震观测系统和地震观测信号传输几乎完全依赖于公共通讯网络。但是,大地震常常严重破坏公共通讯系统,应对巨大地震的流动观测系统就提到迫切的日程。2007年,通过采用无线竞带接入技术,结合中国地震局数字地震观测网络技术,初步建成了应对巨大地震的应急流动观测系统,并在汶川地震现场观测初期发挥了重要作用。     

Statistical features of aftershock distribution size for moderate and large earthquakes in Chinese mainland

Based on data of earthquake sequences with MS≥5.0 in Chinese mainland from 1970 to 2004,for different se-quence types and different rupture modes of the main shock,the relationship between aftershock distribution size Rand the magnitude of the main shock M0 has been studied statistically.Considering the rupture mode of the mainshock,we give the quantitative statistical relationships between R and M0 under 95%confidence level for differentsequence types.Qualitatively,lgR,the logarithm of the aftershock distribution size,is positively correlative to theM0,but the data distribution is dispersed.Viewing from different sequence types,the correlation between R and M0is very weak for isolated earthquake type(IET)sequence,R distributes in the range from 5 to 60 km;For main-shock-aftershock type(MAT),lgR is positively correlative to M0;For multiple main shock type(MMT),the core-lation between lgR and M0 is not very obvious when M0≤6.2 and R distributes in the range from 5 to 70 km,whileit shows a linear correlation when M0≥6.3.The statistical results also show that the occupational ratios of differentsequence types for strike-slip and oblique slip are almost the same.But for dip-slip(mostly are thrust mechanisms),the ratio of MAT is higher than that of IET and MMT.Comparing with previous results,it indicates that,when M0is large enough,R is mainly determined by M0 and there is almost no relationship with the rupture mode of themain shock.     

A time-domain induced-polarization method for estimating permeability in a shaly sand reservoir

It is known that the time‐domain induced‐polarization decay curve for a shaly sand reservoir depends on the pore structure of the reservoir, and this curve can be used to estimate permeability, which is a determining factor in making production decisions in the petroleum industry. Compared with NMR logging tools, induced polarization has several advantages, such as a deep depth of investigation and a high signal‐to‐noise ratio. The purpose of this paper is to establish an appropriate model using induced polarization to estimate the permeability. The curve can be modelled as a weighted superposition of exponential relaxations. The plot of weight versus the relaxation time constant is defined as the relaxation time spectrum. Induced‐polarization decay‐curve measurements were performed on 123 samples from the Daqing oilfield using a four‐electrode technique. A singular‐value decomposition method was used to transform the induced‐polarization decay data into a spectrum. Different models to estimate the permeability were discussed. The results of the research indicate that the induced‐polarization measurements greatly improve the statistical significance of permeability correlations. Compared with the traditional forms, Aφ^C and AF^C, the forms, AT^Bφ^C and AT^BF^C, have lower error factors, where T, Φ and F are the geometric mean time constant of the induced‐polarization relaxation time spectrum, the porosity and the resistivity formation factor, respectively, and A, B and C are constants. The mean time constant is the decisive parameter in the permeability estimation and it is not completely independent of the resistivity formation factor. The additional use of the porosity and the resistivity formation factor leads to an appreciable improvement. It is concluded that this new model will make it possible to estimate the permeability of a shaly sand reservoir downhole.