汶川地震前卫星热红外异常与云异常现象

对汶川Ms8.0级地震发生前20d内的卫星热红外图像和电视云图进行对比分析发现:震前20～8d,青藏高原东缘出现了源于印度板块、紧邻汶川的北东向近3000km长的条带状高温异常;震前5～1h,电视云图显示震中龙门山断裂带及青藏高原东昆仑断裂带上方分别出现了线性云,汶川正好位于两者的延伸交叉位置。结合印度板块和亚洲板块的相互作用和区域构造运动过程,从地球物理的角度讨论了此次卫星热红外图像异常和云图异常的原因,希望能对地震遥感监测预报和汶川地震的前兆性研究提供参考。     

2016年10月6日台湾MS5.9级地震热红外异常研究

本文利用中国静止气象卫星FY-2E/G红外遥感资料,应用小波变换和相对功率谱法对2016年10月6日台湾MS 5.9级地震进行震例数据处理和分析.结果表明,震前热异常具有明显时空特征,2016年6月初震中以北区域出现热红外异常现象,并且异常区域随时间推移不断扩大,至7月1日天异常面积达到最大,随后逐渐收缩至消失,但随后在震中附近又开始出现热红外异常,该异常在8月5日异常值达到最大,随后逐渐消失.该次地震热红外异常特征显著,容易识别,可作为地震前兆异常信息之一,验证了卫星热红外异常在地震预判方面的作用,为今后卫星热红外在地震前兆识别中提供了震例素材和判定依据.     

四川芦山Ms 7.0级地震前卫星线性云异常现象

 对四川芦山地震前1个月内的FY-2卫星云图与红外亮温数据分析发现,震前3d即4月17日的06:30—09:30,在青藏高原东部出现延展达数百千米的两条线性云,两者延伸交叉处正是芦山地震的震中位置。通过与汶川Ms 8.0级地震前数小时出现的线性云异常进行比较,认为龙门山断裂带强震前屡次出现的“无中生有”线性云异常现象,可能与青藏高原东部地下未知的隐伏构造及油气赋存有关,具有一定的临震指示性,应该作为该地区地震遥感监测的重点。今后,在全球综合地球观测系统(GEOSS)大数据的支持下,考虑孕震过程中的地球系统多圈层作用与耦合效应,将开展遥感多参数异常时空特征及其关联性分析,为解开该地区的线性云异常之谜提供科学依据。     

文安地震前卫星热红外亮温变化

利用MODIS卫星热红外数据和静止卫星热红外遥感亮温资料,对2006年河北文安5.1级地震进行时间特征和空间特征两种异常分析方法。研究表明,地震前一个月左右,透热指数和异常比值同时出现高值异常,而地表的亮温增温异常区与未来发生的地震震中较为接近。     

论地温观测网与卫星热红外遥感的观测系统

在诸多的地震前兆信息中,震前地温突升是较容易捕捉到的前兆信息之一。依据震前有关地温突升的一些观测事实和卫星热红外遥感能够探测到大震前有热红外异常现象的一些事实研究以及有地温突升就必然就伴有地热释放的理念,因而提出了要着手组建地温观测网和与卫星热红外遥感相融合的新型立体化地热观测系统的设想。为了进一步证实这种融合过程的真实性和可信度,本文使用唐山震例的实测资料,做出了简单的模拟演示。     

临震卫星热红外异常的机理分析

围绕卫星红外异常预测地震方法的理论基础——临震红外异常的成因机制问题,简介前人基于实验的各种假说;结合红外遥感和地面观测实际进行验证和评述;从红外遥感理论依据——斯忒藩-玻耳兹曼定律出发加以分析,针对临震热红外异常出现时间的短暂性、范围的区域性、增幅的显著性等特点加以具体运用,从理论和实践的结合上,对红外异常的机理和红外遥感地震的方法,进行评述和展望。     

基于背景场的地震亮温异常时空演变分析——以2014年新疆于田Ms7.3级地震为例

本文处理了新疆地区2010~2014年的FY-2E卫星热红外亮温数据,基于构建的亮温背景场资料,对2014年2月12日新疆于田Ms7.3级地震前地表红外亮温的时空分布和演变特征进行了分析。研究发现震前亮温异常主要呈条带状分布于塔里木盆地西南缘和东南缘地区,其位置和走向均与于田地震所处断裂带相吻合;异常出现在2014年1月27日(地震前16天),一直持续到2月2日(地震前10天),之后迅速消失;亮温异常十分明显,异常出现时亮温均值相比背景值增幅达8K～10K,异常值增幅可达20K以上。此次亮温异常现象在时空演变的各个方面均与于田地震具有很好的相关性,亮温背景场资料对于地震异常提取具有一定参考价值。     

卫星红外异常预测短临地震的系统研究Ⅰ——研究历史与可行性

卫星红外异常预测短临地震是我国科技工作首先开发研究试用的开创性新方法。简介了该方法的国内外研究现状;对我国震前增温异常反映地震的历史到运用卫星红外异常预测短临地震的开发研究过程进行了系统的回顾。从红外异常时空动态与地震活动的对应关系的统计分析,论证了红外异常预测短临地震新方法的科学性、普适性和可行性,并对相关的影响因素,如地形、地物、气象等的干扰和排除,进行了初步探索。     

中国沿海和内陆强震前地表潜热通量异常特征

地表潜热通量(SLHF)是反映地表蒸发能量大小的大气参数。国外学者分析近年若干沿海地区的强震时发现,沿海强震震中附近在震前出现了潜热通量异常,而远离海域的内陆地震并未出现潜热通量异常。本文以近10年发生在中国的1次沿海强震和3次内陆强震为例,进行了震前SLHF异常的时空特征分析,发现震前3～10d,震中附近均出现了SLHF异常。该异常主要分布在震中及其周围地区,且与区域内的主要活动构造带走向一致。因此,SLHF异常可以成为一种有价值的大地构造活动性遥感监测指标,并为中国沿海和内陆地区强震提供有用的临震前兆信息。     

热红外遥感在地震监测预测中的应用

卫星热红外遥感技术在地震监测预测中的应用已取得了一定实效,利用这一技术成功预报了一些地震,并对地震的前兆热信息进行了大量实验研究.热红外异常发生的机制主要为地球放气说和应力致热学说.通过分析和总结临震热异常特征,介绍了几种热异常提取方法和判定方法,表明随卫星遥感技术的进步和研究工作的深入,热红外遥感应能在地震监测预报中发挥重要作用.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.