卫星热红外和微波遥感资料在地震预报中的应用研究

选取四次典型震例,分别以微波遥感及热红外遥感为研究手段对各发震区的温度进行窗口时间序列扫描,探讨震前陆地表面温度异常特征。研究发现：由热红外遥感及微波遥感反演所得的陆表温度年变形态极为相似,前者特征更为明显;震前并非完全是一个增温过程,有负异常现象存在;大地震的温度异常空间分布特征与断层的展布存在密切关系,温度异常区并非大面积存在,且未呈现明显迁移特征,这一新发现具有明确的物理意义。     

基于MapGIS IGServer的二三维一体化人体经络信息系统设计

人体经络是一个与城市公交系统特点相似的空间系统,可以借鉴城市公交地理信息系统的先进技术实现对人体经络信息的高效管理。针对人体经络信息化建设在空间分析方面的不足,提出应用WebGIS开发方式为用户提供强大的空间分析辅助决策能力。系统选用先进的MapGIS IGServer作为开发平台,按专题分层组织空间数据,以数据中心为内核,采用面向服务的4层体系架构,运用Flex和搭建式二次开发技术,实现了对经络信息的查询定位、反射区分析、三维浏览等功能。实验结果表明,该系统不仅克服了当前主流人体经络信息系统空间分析能力弱的不足,而且实现了二三维人体经络信息系统的一体化,能够满足不同用户的需求,为构建人体经络信息系统提供了一种新方法。     

测震台网强震影响范围快速判定

以测震台网Jopens系统流服务为依托,根据NetSeis/IP协议通讯标准实时接收数据包,解析MiniSEED格式波形数据,监控台站波形中断情况,实现基于REST架构的台站状态显示,结合震中附近地质构造信息,快速判定地震破坏扩展方向,圈定极震区范围,为地震应急决策服务.     

基于动态增强磁共振的T1WI定量灌注参数伪彩图在导管源性乳腺癌中的诊断价值

目的：探讨基于动态增强的MRTIWI定量灌注参数伪彩图对导管源性乳腺癌的诊断价值。方法：16例女性手术前行双侧乳腺动态高分辨对比增强MR成像（DCE～MRI）,绘制时间一信号强度曲线（TIC）,基于乳腺动态增强磁共振的数据资料,通过灌注软件获得五种灌注伪彩图,分别为Wash—in、Wash—out、TTP、MIPt及PEI。选取病变的中央（1个）边缘（2个）及对侧相应部位正常乳腺组织（1个）为感兴趣区域,测得其各种灌注参数值,并研究探讨导管源性乳腺癌的灌注特点。结果：16例女性患者经病理学证实为13例浸润性导管癌、3例导管内癌。16个病灶中13例呈非肿块样强化,其中线状／导管样强化7例,斑片样强化5例,斑点状强化1例,另有3例为肿块样强化。16例患者TIC曲线均显示为II型。Wash—in、Wash—out、TTP、MIPt及PEI五种灌注参数图的阳性发现分别为13个、10个、9个、15个、16个病灶,检出率分别为81．25％、62．50％、56．25％、93．75％、100％。对各组灌注参数值进行统计学分析,得出导管源性乳腺癌与对侧相应部位正常乳腺组织之间各参数值具有显著性差异（．=P〈0．001）;除TTP图参数外,病灶周边及病变中心各组参数值对比在统计学上亦具有显著性差异（P〈0．001）。13例浸润性导管癌及3例导管内癌两种疾病的各种灌注参数值对比显示无统计学意义。结论：基于乳腺动态高分辨对比增强的TIWI定量灌注参数图对导管源性乳腺癌的检出率高,可为其诊断和鉴别诊断提供重要的补充信息。     

粤闽赣交界区波速比特征研究

根据多台和达法,利用广东、福建、江西三省数字地震观测记录对粤闽赣交界区及邻区波速比特征进行研究,获取了具有参考价值的结果：粤闽赣交界地区沿海一侧明显比内陆地区波速比要高;约在北纬24°,东经114°处,处走向北东方向上是波速变化比较明显的分界线,该分界线可能是由于地下两侧的岩石岩性不同造成的,或与该地区介质物理性质和化学性质存在变异关有,也可能与此地区地震应力场变化有一定关系。     

高层建筑时程分析中地震动时程选择和修改方法研究

合理的地震动时程选择与修改方法对于高层结构的抗震设计具有重要意义,有着广泛的工程应用.本文回顾了建筑抗震设计规范对于输入地震动时程的规定,通过对现有的地震动时程选择与修改方法进行分类和定性分析,挑选了两种与规范要求衔接较好的方法.结合具体算例对两种方法进行了定量分析,结果表明以安评设计谱作为选择指标,利用最小二乘法对选择的地震动时程进行修改,可以得到离散较小且符合规范要求的地震动时程,该成果能够在现行规范要求下为结构的抗震设计提供合理可靠的依据.同时,本文也对未来地震动时程选择与修改方法的研究和发展方向进行了展望,指出条件均值谱和非弹性反应谱将是该领域未来主要的研究方向.     

Yearly tropical cyclone potential impact index in China

A new composite index called the yearly tropical cyclone potential impact(YTCPI)is introduced.The relationship between YTCPI and activities of tropical cyclones(TCs)in China,disaster loss,and main ambient fields are investigated to show the potential of YTCPI as a new tool for short-term climate prediction of TCs.YTCPI can indicate TC activity and potential disaster loss.As correlation coefficients between YTCPI and frequency of landfalling TCs,the frequency of TCs traversing or forming inside a 24 h warning line in China from 1971 to 2010 are 0.58 and 0.56,respectively(both are at a statistically significant level,aboveα=0.001).Furthermore,three simple indexes are used to compare with YTCPI.They all have very close relationships with it,with correlation coefficients 0.75,0.82 and 0.78.For economic loss and YTCPI,the correlation coefficient is 0.57 for 1994–2009.Information on principal ambient fields(sea surface temperature,850 and 500 hPa geopotential heights)during the previous winter is reflected in the relationship with YTCPI.Spatial and temporal variabilities of ambient fields are extracted through empirical orthogonal function(EOF)analysis.Spatial distributions of correlation coefficient between YTCPI and ambient fields match the EOF main mode.Correlation coefficients between YTCPI and the EOF time array for the three ambient fields are 0.46,0.44 and 0.4,respectively,all statistically significant,aboveα=0.01.The YTCPI has the overall potential to be an improved prediction tool.     

Life in extreme environments: Approaches to study life-environment co-evolutionary strategies

The term"extreme environments"describes the conditions that deviate from what mesophilic cells can tolerate.These conditions are"extreme"in the eye of mankind,but they may be suitable or even essential living conditions for most microorganisms.Hyperthermophilic microorganisms form a branch at the root of the phylogenetic tree,indicating that early life originated from extreme environments similar to that of modern deep-sea hydrothermal vents,which are characterized by high-temperature and oxygen-limiting conditions.During the inevitable cooling and gradual oxidation process on Earth,microorganisms developed similar mechanisms of adaptation.By studying modern extremophiles,we may be able to decode the mysterious history of their genomic evolution and to reconstruct early life.Because life itself is a process of energy uptake to maintain a dissipative structure that is not in thermodynamic equilibrium,the energy metabolism of microorganisms determines the pathway of evolution,the structure of an ecosystem,and the physiology of cells."Following energy"is an essential approach to understand the boundaries of life and to search for life beyond Earth.     

Assessment of air temperatures from different meteorological reanalyses for the East Antarctic region between Zhonshan and Dome A

The accuracy of daily mean 2 meter air temperatures from five reanalyses are assessed against in-situ observations from Automatic Weather Stations in East Antarctica for 2005 to 2008.The five reanalyses all explain more than 70%of the average variance,and have annual root mean square errors(RMSE)between 3.4 and 6.9°C.The NOAA reanalyses,NCEP-1,NCEP-2and 20CRv2,have cool biases of 2.5,1.4 and 1.5°C,respectively.The ERA Interim and JCDAS reanalyses have warm biases of 1.7 and 2.0°C.All reanalyses generally perform better in the austral spring and worse in winter and autumn.They also show the best performance at an inland plateau site at 2800 m elevation,but are worst at Dome A,the summit of the East Antarctic ice sheet.In general,ERA Interim is superior to the other reanalyses,probably because of its 4D assimilation scheme.The three NOAA reanalyses perform worst;Their assimilation scheme is more constrained by limited observations and 20CRv2has less input data,assimilating only surface pressure observations.Despite deficiencies and limitations,the reanalyses are still powerful tools for climate studies in the Antarctic region.However,more in-situ observations are required,especially from the vast interior of Antarctica.