Advances in understanding of the mechanism for generation of earthquake thermal precursors detected by satellites

Stresses building up during an earthquake preparation phase also manifest themselves in the form of a so called increased land surface temperature (LST) leading to a thermal precursor prior to the earthquake event. This phenomenon has now been validated by our observations of short-term thermal anomalies detected by infrared satellite sensors for several recent past earthquakes around the world. The rise in infrared radiance temperature was seen to vary between 5 and 12 °C for different earthquakes. We discuss in this paper different explanations for the generation of such anomalies that have been offered. Emission of gases due to the opening and closure of micropores upon induced stresses and also the participation of ground water have been propounded as a possible cause for generation of thermal anomalies. Seismo-ionosphere coupling, by which gases like radon move to the earth–atmosphere interface and cause air ionization thus bringing about a change in air temperature, relative humidity, etc., has been put forth by some workers. A mechanism of low frequency electromagnetic emission was tested and experimented by scientists with rock masses in stressed conditions as those that exist at tectonic locations. The workers proposed the positive hole pair theory, which received support from several scientific groups. Positive holes (sites of electron deficiency) are activated in stressed rocks from pre-existing yet dormant positive hole pairs (PHPs) and their recombination at rock–air interface leads to a LST rise. A combination of remote sensing detection of rock mechanics behavior with a perception of chemistry and geophysics has been applied to propose the remote sensing rock mechanics theory. Remote sensing detections of such anomalies confirm so far proposed lab theories for such a hotly debated field as earthquake precursor study by providing unbiased observations with consistency in time and space distribution.     

地磁匹配导航算法研究

提出一种MonteCarlo方法和均方差算法（MSD）相结合的匹配算法,并将本算法用于地磁匹配导航中。该方法根据惯性导航系统指示的位置从地磁图上提取参考地磁数据,将地磁测量数据进行若干次随机干扰后和参考地磁数据使用MSD算法进行匹配,得到若干个匹配位置,取其均值作为最终匹配位置。仿真结果表明本算法可行。     

逐点内插法建立DEM的研究

本文讨论了移动拟合法和加权平均法两种逐点内插法建立DEM的原理及算法实现,并对其中的关键技术——动态确定阈值R和权函数的确定与实现进行了详细讨论。文章在分析常规权函数的基础上提出了一种新的定权方法。最后通过大量试验数据对两种内插方法的精度以及不同权函数的精度分别进行了评定。     

一种获取Klobuchar电离层改正模型的新方法

介绍了利用松弛搜索法对Klobuchar模型的参数进行拟合,并利用IGS提供的IONEX格式对全球电离层数据进行试验分析,获得了可靠的结果。     

凸包插值算法的改进与实现

研究了凸包插值算法在n维欧拉空间构造Delaunay三角网的应用,提出了其三角剖分不惟一的重大缺陷,采用了限制区域生长法解决了这一缺陷。     

地壳垂直形变模型的研究

本文重点研究了建立整个形变区域的形变速率曲面和形变加速率曲面,同时也研究了求这两种曲面的方法(基于多元逐步回归分析的间接法和直接法),从而使我们对整个形变区域有一个形变的整体概念,也使我们能方便地得出形变区任何一个已知其平面位置的点在任一观测期内的形变量。     

基于人工神经网络面插值的方法研究

前人研究表明三层前向人工神经网络不仅能以任意精度逼近任意函数,还能以任何精度逼近其各阶导数。根据这一特性,本文将反向传播网络（Ｂａｃｋ－Ｐｒｏｐａｇａｔｉｏｎ,简称ＢＰ网络）应用于面插值。本文认定地理要素的空间分布可以用一复杂的非线性函数模拟,该函数是由多种因素综合作用的结果,即地理要素的值是这些因素的函数,如果以各因素的输入、对应地理要素值为期望输出,对网络进行训练可对地理要素的空间分布进行模拟     

联合机载LiDAR数据和潮汐数据自动提取潮位线

首先,联合机载激光雷达(LiDAR)数据提取的海岸带数字表面模型(DSM)与验潮站数据提取的高、低潮面进行相交运算,生成"水陆二值图像",然后对其以提取边缘的方式提取高、低潮潮位线;针对LiDAR光束无法穿透水体导致低潮线附近DSM为无效值的缺陷,采取移动趋势面拟合法外推概略低潮线附近DSM,在此基础上重新提取更精确的低潮潮位线。实验表明,该方法能在较少人工干预的情况下有效提取高、低潮潮位线。     

GPS-RTK用于矿山高精度沉陷监测的可行性研究

针对复杂地表条件下采用水准测量和导线测量等常规方式进行地表变形周期观测、任务量大甚至无法实施等问题,提出了建立研究区域的似大地水准面精化模型,同时采用GPS-RTK技术获取观测站三维空间信息,进而获得概率积分法预计参数。最后以内蒙古准格尔旗某煤矿的生产实践说明该技术的有效性和可行性,极大地提高了工作效率,为保护煤柱的留设提供了科学的依据。     

近红外大气吸收波段太阳辐射计定标

用通用大气辐射传输软件CART模拟了POM02太阳辐射计的1020nm、1627nm和2200nm等3个近红外通道的大气透过率特性。结果表明,前两通道处于大气非吸收波段,其透过率很好的遵从Beer-Lambert定律,而2200nm通道则有较强的吸收,吸收光学厚度随大气质量的变化服从指数分布,与Beer-Lambert定律有一定的偏差,其定标需采用改进的Langley法。通过选取好天的5个定标实例证明,采用改进的Langley法定标2200nm通道,可提高其透过率测量精度约3.8%。