弹道扰动引力的有限元逼近算法

为了克服多项式逼近弹道扰动引力的缺点，根据有限元插值的原理，采用了对弹道周围空间区域进行有限元剖分的方法，利用剖分单元各顶点的扰动引力分量内插出弹道点对应的扰动引力分量值。结果表明，文中提出的逼近算法能够快速精确可靠地逼近弹道扰动引力，是一种具有应用价值的方法。     

拟合推估新用——新逼近模式

作为拟合推估的新用之一，提出一种带有随机量的新逼近模式，将拟合推估的通行算法，去短取长，藉以推得良好的插值。     

插值计算不规则图形面积的方法选择

采用实际的不规则图形作为评价图形，讨论了几种不同插值方法的面积计算精度，得出了对实际工作指导意义的结论。     

Interpolation of runoff applying objective methods

The paper treats the problem of interpolating annual runoff from regular streamflow measurements in a regional scale applying objective methods. These methods are adapted to point processes like temperature and precipitation. Modifications are needed to account for the fact that streamflow is an integrated process following the hierarchical structure of river systems. The most straightforward method is therefore to relate the interpolation to the existing river network. For theoretical reasons it is preferable to interpolate the lateral inflow rather than the flow in the river itself. Procedures for the interpolation with the different approaches are developed and discussed. Special attention is put on the question how the equation of continuity can be satisfied. The Laagen drainage basin in southern Norway is used as a test area. The data consist of annual observations of streamflow and digital map information on river networks and drainage basin boundaries.     

Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique

ABSTRACT

The reliable and robust monitoring of air temperature distribution is essential for urban thermal environmental analysis. In this study, a stacking ensemble model consisting of multi-linear regression (MLR), support vector regression (SVR), and random forest (RF) optimized by the SVR is proposed to interpolate the daily maximum air temperature (T_max) during summertime in a mega urban area. A total of 10 geographic variables, including the clear-sky averaged land surface temperature and the normalized difference vegetation index, were used as input variables. The stacking model was compared to Cokriging, three individual data-driven methods, and a simple average ensemble model, all through leave-one-station-out cross validation. The stacking model showed the best performance by improving the generalizability of the individual models and mitigating the sensitivity to the extreme daily T_max. This study demonstrates that the stacking ensemble method can improve the accuracy of spatial interpolation of environmental variables in various research fields.     

引入Himawari-8卫星数据协变量的能见度样条插值方法

在ANUSPLIN薄盘光滑样条插值中,高相关协变量的选取决定了插值结果的精确性。本文选取2017—2019年大雾和霾能见度较差的天气过程,利用183个能见度观测站点对能见度进行插值,引入Himawari-8卫星的通道数据和DEM数据作为协变量对能见度的插值结果进行改进,并对能见度插值结果进行对比分析。研究表明,引入Himawari-8数据和DEM数据作为协变量的能见度插值结果在精度上有显著提高,尤其对雾区和霾区的边界范围和纹理的反演更为准确,基于Himawari-8卫星数据和气象监测站点的观测数据,使用协变量的方法进行能见度插值可以做为能见度监测网格化的一种有效途径。     

遥感图像中云层遮挡影响消除方法研究述评

 综合评述了目前用于消除遥感图像云层遮挡影响方法的原理、应用现状及处理过程中存在的问题，并在同一实验区比较了同态滤波和Kriging插值等方法的处理效果，结果表明，Kriging插值处理具有一定的优越性。     

基于实测值分段线性内插模型的InSAR视线向同震位错分解-以青藏高原昆仑山MemＳsub8.1地震为例x,auto,auto,415px);}stylehf=httprztl.com business week launch

利用现场GPS定位的实测值，在尝试过最小二乘拟合并取得初步成果的基础上，进而采用更符合破裂带形态的线性立方插值函数，在破裂带主断面上，建立起一种理论与实测相结合的InSAR视线向(LOS)变化量的分解方程，得到了InSAR视线向位移分解的具有唯一性的解析解. 本文的解析法吸纳了GPS定点实测值的精度优势，利用InSAR全天候、准实时获取连续形变场的技术特点，通过数学近似，最终获得了主破裂带上连续变化的水平位错及垂直位错同震形变曲线.      

复杂地质地貌区地球化学异常识别非线性研究

应用现代数学非线性理论与方法对西南地区三江北段恒星错测区1：50000水系沉积物测量数据进行了异常识别的非线性研究。率先尝试用人工免疫算法对地球化学数据降噪，并采用分形含量面积法对降噪数据寻求异常下限，从而弥补传统方法确定异常下限出现的缺陷。在此基础上构造了测区地球化学元素分布的分形插值曲面，做出异常等值线图和异常分形插值图。处理结果令人满意。     

房产测量中椭圆和样条曲线的多段线逼近

本文介绍了在AutoCAD环境中,对椭圆和样条曲线以面积为逼近指标调整偏移距离,用B样条函数处理偏移后样条曲线的控制数据,生成多段线逼近原椭圆或样条曲线的方法.解决了房产测量和建筑设计中将椭圆和椭圆弧精确地转化为多段线的问题.