SNREI地球形变理论模拟研究进展

获取固体地球在内外力驱动下的形变特征是认识地球内部结构和动力过程的关键,全球和区域形变的观测与研究是高精度时空基准建立和维持的重要内容之一。本文系统介绍了地球形变理论模拟研究的主要进展,重点介绍了大气、海洋、陆地水和热在地表的负荷效应,以及内部的地震位错产生的形变问题。内容涉及基本的地球(热)弹性变形的初边值理论,及其有效求解方法与计算过程中遇到的困难及解决方案。最后在弹性形变的基础上,结合现今观测精度不断提高和人类活动对环境影响的背景,展望了未来在地球形变理论上的发展需求与应用前景。     

沿海和岛屿重力海潮负荷改正模型——以马祖岛为例

基于NAO99b全球海潮模型、NAO99Jb区域海潮模型、验潮站资料和SRTM地形数据确定的高空间分辨率海陆边界数据,构建我国沿海和岛屿高精度重力海潮负荷改正模型。以马祖岛为例介绍该模型,并采用实测的绝对重力测量资料进行验证。结果表明,经该模型改正后的重力观测精度明显提高。     

基于谱-有限元法的SNERI地球模型固体潮形变计算

基于谱-有限元法计算一个球型、非自转、完全弹性、各向同性(SNERI)的地球固体潮形变,其中地球固体部分潮汐形变的弱解用哈密顿变分原理给出,液核部分的弱解采用静态中性分层的流体近似。计算过程中把SNERI地球进行等间距球层剖分,球面上对解函数和试探函数采用球谐展开,径向上采用线性插值。比较数值计算结果与同质地球模型的解析解结果得出,1 km径向等距剖分即可获得10~(-8)精度量级的低阶Love数。基于PREM地球模型的计算结果表明,谱-有限元法计算的固体潮2～3阶Love数与Runge-Kutta法的计算值差异在10~(-4)量级;与武汉台超导重力仪8个主潮波的实测重力潮汐因子相比,本方法计算的理论重力潮汐因子相差平均约0.15%。研究结果说明,谱-有限元法具有较好的收敛性与较高的计算精度,比传统Runge-Kutta法更适用于高精度地计算复杂地球模型的固体潮形变。     

Gravity changes before large earthquakes in China: 1998–2005

Although it is well known that coseismic gravity changes take place during an earthquake, previous research has not yielded convincing evidence demonstrating that significant gravity changes occur before large earthquakes. Furthermore, even if we suspect that gravity changes occur before large earthquakes, we have yet to demonstrate how to consistently observe these changes for useful earthquake forecast that would bring benefits to society. We analyzed ground gravity survey data obtained in 1998, 2000, 2002, and 2005 at stations of the Crustal Movement Observation Network of China (CMONOC) and examined gravity changes be-fore the occurrence of nine large (Ms≥6.8) earthquakes that ruptured within or near mainland China and Taiwan from November 2001 to August 2008. Results from this analysis show that significant gravity changes occurred across a large region before each of these nine large earthquakes, and these changes were detected by repeated ground gravity surveys through CMONOC. Although these gravity changes were significant, more research is needed to investigate whether these gravity changes could be viewed as precursors of large earthquakes. Limitations and uncertainties in the data include sparseness of the gravity monitoring network, long time intervals between consecutive gravity surveys, inevitable measurement errors, hydrological effects on gravity, and effects of vertical crustal movements on gravity. Based on these observations, we make several recommendations about possible future direc-tions in earthquake-related research using gravity monitoring data.     

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Adaptability of the ocean and earth tidal models based on global observations of the superconducting gravimeters

As the gravity field is the most primary and direct physical quantity reflecting the density variation of the Earth’s interior and its geodynamic properties under various environmental changes and as the knowledge of the fine structure of the Earth’s interior and its geo-dynamics has a strong impact on space research, grav-ity observations become more and more important in Earth sciences. Therefore based on a global network of superconducting gravimeters (SGs), the Global Geo-dynamic Proje…     

土-偏心结构平扭耦联弹塑性反应参数全过程分析

为了了解在强震作用下偏心结构平扭耦联效应,对土-偏心结构相互作用体系进行了平扭耦联弹塑性反应参数弹塑性分析。本文建立考虑SSI的单层单向偏心结构模型,将地基土假定为弹簧,通过拉格朗日能量法推导了结构体系的动力特性方程,采用静力弹塑性(Pushover)分析方法,利用MATLAB软件编程,分析了土体和结构均由弹性到弹塑性的变化对相互作用体系和上部结构的影响,以及体系由弹性到弹塑性平扭耦联效应的变化过程,发现土体由弹性进入塑性对体系的动力特性影响很大,并且得到了相互作用体系相对振型频率随扭平频率比和偏心率的变化规律。     

海潮负荷对GPS基线的影响

利用由卫星测高数据反演获得的NAO99海潮模型（23个潮波）计算了海潮变化对上海、乌鲁木齐、北京和广州台站GPS定位的影响,研究了海潮负荷对由这些台站组成的4条GPS基线的影响。结果表明海潮负荷对单点定位的影响在沿海地区达到厘米量级。对内陆台站的影响小于1cm;而对基线的影响均小于1cm,并与基线方位角和台站负荷影响大小密切相关,其相对影响在10^-4～10^-9量级,这在高精度的GPS基线尤其短基线测量中是必须考虑的。     

南极地区的重力固体潮观测与研究

研究了三台高精度LCR弹簧重力仪 (G5 89,ET2 0和ET2 1 )在南极长城站和中山站的重力潮汐数据 ,在武汉国际重力潮汐基准系统中确定了该地区的重力潮汐参数。研究了海潮负荷问题 ,经海潮改正后的观测结果与理论值间存在较大差异 ,说明海潮模型的不确定性。讨论了气压和温度变化对重力观测的影响。结果表明 ,气压重力导纳值随信号频率增加呈明显的下降趋势 ,可能存在“反变气压计”效应 ,而温度重力的影响主要集中在长周期频段。     

Grassland degradation in Northern Tibet based on remote sensing data

This study selected vegetation cover as the main evaluation index, calculated the grassland degradation index (GDI) and established the remote sensing monitoring and evaluation system for grassland degradation in Northern Tibet, according to the National Standard (GB19377-2003), based on the remote sensing data such as NDVI data derived from NOAA/AVHRR with a spatial resolution of 8 km of 1981-2000, from SPOT/VGT with a spatial resolution of 1 km of 2001 and from MODIS with a spatial resolution of 0.25 km of 2002-2004 respectively in this area, in combination with the actual condition of grassland degradation. The grassland degradation processes and their responses to climate change during 1981-2004 were discussed and analyzed in this paper. The result indicated that grassland degradation in Northern Tibet is very serious, and the mean value of GDI in recent 20 years is 2.54 which belongs to the serious degradation grade. From 1981 to 2004, the GDI fluctuated distinctly with great interannual variations in the proportion of degradation degree and GDI but the general tendency turned to severe-grade during this period with the grassland degradation grade changed from light degraded to serious degraded in Northern Tibet. The extremely serious degraded and serious degraded grassland occupied 1.7% and 8.0% of the study area, the moderate and light degraded grassland accounted for 13.2% and 27.9% respectively, and un-degraded grassland occupied 49.2% of the total grassland area in 2004. The grassland degradation was serious, especially in the conjunctive area of Naqu, Biru and Jiali counties, the headstream of the Yangtze River lying in the Galadandong snow mountain and glaciers, the area along the Qinghai-Tibet highway and railway, and areas around the Tanggula and Nianqingtanggula snow mountains and glaciers. So the snow mountains and glaciers as well as their adjacent areas in Northern Tibet were sensitive to climate change and the areas along the vital communication line with frequent human activities experienced relatively serious grassland degradation.