基于遥感信息的土地资源可持续利用研究

遥感信息是对自然界的反映，它具有宏观、动态、准确、快速的优点，可以及时提供动态数据。基于遥感信息，对吉林西部土地资源利用状况进行调查，运用主成分分析法，可以不损失或很少损失原有的信息，将原来个数较多而且彼此相关的变量转换为新的个数较少而且彼此独立或不相关的新变量。对土地资源可持续利用进行定量分析研究，指出土地利用中存在的问题，并提出吉林西部土地资源可持续利用发展模式。     

鲁西南深埋粘性土物理力学指标多元统计研究

运用R因子分析和R型聚类两种多元统计分析方法,对鲁西南地区深埋粘性土的20组样的8个物理力学指标数据进行了分析。利用R因子分析方法,揭示了各指标对鲁西南地区深埋粘性土状态和力学性质的影响关系。利用R型聚类分析方法,研究了深部粘性土各物理力学指标之间的相关性,为进一步从物理力学指标对深埋粘性土的特殊状态和力学特性的研究打下基础。     

Slab behaviour and its surface expression: new insights from gravity modelling in the SE-Carpathians

We use lithosphere-scale gravity models to calculate gravity anomalies resulting from oceanic subduction, continental collision, slab steepening, delamination, and break-off. Local isostasy was assumed for determining vertical movements caused by mass changes related to these tectonic processes. Our results show that subduction is accompanied by basin subsidence on the upper plate caused by the heavy lithospheric root of the subducting slab. The basin evolution goes parallel with the slab evolution and shows considerable modifications when the processes at depth change (slab steepening, delamination, break-off). Characteristic gravity anomaly curves were acquired for the different tectonic scenarios. These curves together with other data (e.g. basin evolution on the upper and the lower plate) were used for the reconstruction of the tectonic evolution of the SE-Carpathians which includes Tertiary subduction and collision followed by slab steepening and delamination.     

Coastline configuration and geomorphologic development mode of arc-shaped coast in South China

1IntroductionArc-shaped bays are quite common on exposed sediment coast in South China, where the crenulate-bay beaches occur with the presence of two consecutive headlands and a predominant wave approach oblique to the alignment of the upcoast and downcoast headlands (Yasso, 1965). Oblique persistent swell striking a shoreline transports sediment alongshore and sculptures a coast into arc-shaped beaches. The shoreline of beach appearance mainly consists of straight segment and shadow segment…     

基于全球一体化的中原城市群城市竞争力研究

全球化背景下，城市群主导世界经济的趋势不可阻挡，关于城市群的研究随之也越来越受到人们的重视。近几年，中原城市群悄悄崛起，但只是一个雏形，还存在很多问题。为了更好的促进中原城市群的发育，特别是加强城市群内部各城市发挥特长、合理分工、优势互补，进而提升中原地区区域经济的发展水平，文章选用了九大类44项城市竞争力指标，建立了城市竞争力的指标体系，从定量的角度对中原城市群的城市竞争力进行了排序、对比、分析，其城市竞争力排名依次是郑州、济源、洛阳、焦作、漯河、新乡、许昌、平顶山及开封。得到的结论如下：(1)首位城市竞争力强，但还没有发挥核心城市的作用。(2)工业型的城市经济实力竞争力强。(3)农业型城市的经济竞争力较弱。(4)产业竞争力和资金实力是影响城市综合竞争力的主要因子。(5)个别城市的单项指标存在异常点，显现出其优劣势。最后根据分析结果，笔者提出了四点优化对策，为城市群中的城市定位、产业分工、资源优化配置及相应区域互动政策的制定提供决策依据。     

利用AMTIS数据反演植被和土壤温度

遥感陆面温度 (LST)是目前遥感界面临的重要课题 ,组分温度反演则为LST反演的主攻目标。如果混合像元组分间的温度及发射率存在明显差别 ,就可以从多角度热辐射亮度变化中分离出组分温度的信息。在热辐射矩阵模型的基础上 ,讨论了确定可反演参数和反演组分温度的方法 ,并以AMTIS多角度热红外图像为数据源 ,在进行几何和大气纠正后 ,尝试利用矩阵反演方法分解混合像元中的植被和土壤温度。误差分析表明土壤温度反演结果较好 ,但植被温度的反演精度不高     

基于方差分量估计的自适应融合导航

多源传感器观测信息的精度一般不一致,利用方差分量估计理论可以合理地顾及各传感器观测信息在融合导航解中的权比.首先给出基于多源观测信息的融合导航解算模式,进而基于方差分量估计讨论了各传感器观测信息在融合导航解中的合理平衡问题,然后应用自适应因子顾及动力学模型预报信息的贡献,给出了计算过程,并利用模拟数据进行了试算与比较.     

竖向地震动强度包络函数的空间变化规律

利用SMART 1台阵三次地震记录拟合了各个测点在地震中的竖向地震动强度包络曲线及Amin 和Ang的强度包络函数中各模型参数值,分析了各模型参数的空间变化规律,建立了各模型参数随二维空间坐标及土层厚度变化的随机模型,为多点地震动合成中竖向强度包络函数的计算提供了理论依据。     

Nonlinear free thermal convection in a spherical shell:A variable viscosity model

Introduction The velocity field of surface plate motion can be split into a poloidal and a toroidal parts.At the Earth′s surface,the toroidal component is manifested by the existence of transform faults,and the poloidal component by the presence of convergence and divergence,i.e.spreading and subduc-tion zones.They have coupled each other and completely depicted the characteristics of plate tec-tonic motions.The mechanism of poloidal field has been studied fairly clearly which is related to …     

Primary component analysis method and reduction of seismicity parameters

Introduction Data mining (SHAO and YU, 2003) is a new kind of technique developed with database and artificial intelligence in recent years, which processes the data in the database to abstract the im- plied and pre-unknown, but potentially useful information and knowledge from large amounts of incomplete, noisy, blurring and stochastic data. For data mining, data purging is an important link beforehand that includes eliminating noise, making up lost domain, and deleting ineffective data, as…