殷马断裂带在桐柏山—大别山造山带中的地质意义探讨

殷店—马垅断裂带是桐柏—大别造山带南缘一条重要的韧性断裂带,是桐柏—大别造山带内部发育的一条明显的岩地层单元界线,同时也是华北和扬子两大板碰撞挤压的产物。它与桐柏—大别造山带的形成,发展和演化,有着密不可分的联系。通过对殷店—马垅断裂带东西段野外岩性剖面对比分析、显微构造对比、有限应变测量对比分析、应力场分析等,发现尽管东、西段构造特征略有差异,但是殷店—马垅断裂整体是具有右旋运动性质的剪切带,殷店—马垅断裂带的形成对华北与扬子碰撞所产生的应力具有消减转移效应,它本身是一个塑性剪切最强的断裂带,它反映了造山带内部不同岩性的块体之间右旋流变的运动学模式,同时也可能充当着桐柏—大别山核部岩块相对扬子板块向东运动的的"润滑带"。     

吉林珲春东北部中生代侵入岩——一个中性—酸性双峰式岩系的演化和形成环境

地质调查和年代学资料表明,研究区内早燕山期侵入岩为一套中性—酸性双峰式岩系。通过岩石学、矿物学和地球化学方面的研究,对该岩系的成分演化特征、形成的构造环境进行了较细致的论述,得出该岩系是一个具不连续演化特点的钙碱性岩系,形成于破坏性板块边缘的张性环境,相当于Ⅰ型花岗岩系,属于环太平洋岩浆作用的内容。     

拉鸡山裂谷带特征及演化

拉鸡山构造带东西长逾 6 50km ,展布于由元古宇组成的结晶地块内部 ,是一条早古生代火山岩极为发育的构造带。通过作者在拉鸡山多年的野外调查工作和研究 ,认为该地区无论在区域地质学、岩石学、构造变形学还是大地构造演化方面 ,其早古生代构造演化史皆具典型的裂谷带特征。晚古生代以来 ,区内经历了陆内多阶段造山过程。新生代早更新世 ,拉鸡山巨型断裂带发生左旋走滑运动 ,导致断裂带弧形转折部位强烈崛起 ,形成雄伟高山。     

鲁西地壳隆升的伸展构造模式

伸展链锁断层系，形成了鲁西的主导造格局，即“块断”构造。它是由中、生代两次伸展运动形成的。伸展运动幔源岩浆活动有着密切的成生联系。伸展运动的结果，形成了以泰山－鲁山－沂山为核心的鲁中块隆，它至今耸立于周围以平原地貌为标志的地堑系之间，隆起的高点，就是当今的泰山。     

煤矿断层密度的分维描述

煤矿断层密度是评价断层破坏程度的一个常用指标。由于它是单因素评价,所以在实际应用中往往受到限制。文中以平顶山五矿戊９－１０煤层断层为例,采用分维计算方法对断层密度进行了重新定量。结果表明,断层密度分维与断层长度,条数和断层密度分布的均匀性有关,它为煤矿断层密度的定量评价提供了一种新的方法。     

反向断裂下盘较顺向断裂上盘更易富集油气机理的定量解释

为了研究含油气盆地中断裂对油气成藏与分布的控制作用,在断层侧向封闭机理及影响因素研究的基础上,对反向断裂下盘较顺向断裂上盘更易富集油气的机理进行了定量解释。结果表明,无论是反向断裂还是顺向断裂,均源于断层岩封闭油气,断层岩油气运移方向排替压力是影响其侧向封闭油气能力的主要因素。在断裂埋深、断裂倾角和地层岩性、地层倾角相同的条件下,理论上反向断裂断层岩泥质体积分数大于顺向断裂断层岩泥质体积分数,即反向断裂断层岩油气运移方向排替压力大于顺向断裂断层岩油气运移方向排替压力,反向断裂侧向封闭能力强于顺向断裂侧向封闭能力,造成反向断裂下盘较顺向断裂上盘更易富集油气。歧口凹陷板桥断裂下盘沙一段下部断层岩在反向条件和顺向条件下油气运移方向排替压力的实例研究结果表明,反向条件下较顺向条件下在油气运移方向有更高的排替压力,侧向封闭能力更强,更有利于油气在板桥断裂下盘沙一段储层中富集。     

气侯时间序列变点的推断

本文研究时间序列的变点问题。所给出的统计方法可用来推断一个时间序列是否存在变点，存在几个变点以及变点在什么位置。这种统计推断方法可用于气候阶段的划分。     

The Prediction of Non-stationary Climate Series Based on Empirical Mode Decomposition

This paper proposes a new approach which we refer to as ``segregated prediction" to predict climate time series which are nonstationary. This approach is based on the empirical mode decomposition method (EMD), which can decompose a time signal into a finite and usually small number of basic oscillatory components. To test the capabilities of this approach, some prediction experiments are carried out for several climate time series. The experimental results show that this approach can decompose the nonstationarity of the climate time series and segregate nonlinear interactions between the different mode components, which thereby is able to improve prediction accuracy of these original climate time series.     

A Comparison of Four Precipitation Distribution Models Used in Daily Stochastic Models

Stochastic weather generators are statistical models that produce random numbers that resemble the observed weather data on which they have been fitted; they are widely used in meteorological and hydrologi- cal simulations. For modeling daily precipitation in weather generators, first-order Markov chain-dependent exponential, gamma, mixed-exponential, and lognormal distributions can be used. To examine the perfor- mance of these four distributions for precipitation simulation, they were fitted to observed data collected at 10 stations in the watershed of Yishu River. The parameters of these models were estimated using a maximum-likelihood technique performed using genetic algorithms. Parameters for each calendar month and the Fourier series describing parameters for the whole year were estimated separately. Bayesian infor- mation criterion, simulated monthly mean, maximum daily value, and variance were tested and compared to evaluate the fitness and performance of these models. The results indicate that the lognormal and mixed-exponential distributions give smaller BICs, but their stochastic simulations have overestimation and underestimation respectively, while the gamma and exponential distributions give larger BICs, but their stochastic simulations produced monthly mean precipitation very well. When these distributions were fitted using Fourier series, they all underestimated the above statistics for the months of June, July and August.     

地面气象站环境变化对气温序列均一性影响

为研究浙江省地面气象站环境变化对气温序列均一性的影响程度,采用测站历史沿革资料,对全省测站环境的时空演变进行了分析。采用距平累加、偏差界限值、F值检验法,对36个代表站的年平均气温序列进行均一性检验,并对非均一性产生的原因进行分析。结果表明:1971~2004年,浙江省测站的地理环境有显著改变;36站中有39%的测站为非均一性,产生非均一性的测站中,迁站原因占57%,环境恶化占36%;测站迁站引起的非均一性多发生在1980年以后;测站迁站时,新旧站址海拔高度差大且地理环境差异显著是造成气温序列非均一性的主要原因,迁站后气温序列较旧址存在偏高或偏低现象,其值对累年平均值有影响。指出了测站在迁移或环境变化过程中应注意的事项,以助于减少气温序列非均一性。