卫星测高技术应用研究回顾与展望

简要介绍了笔者所在单位近十年来密切跟踪世界发展动态,灵活运用高新技术,致力于卫星测高技术应用研究所取得的一些有理论意义和实用价值的成果,这些成果主要包括四个方面：卫星测高径向轨道误差时域和空域特征分析、卫星测高反演海洋重力场、卫星测高反演海底地形以及利用测高重力异常扩展超高阶地球位模型研究成果。最后对这一研究领域未来的发展方向作了展望。     

水工地下大洞径断面开挖轮廓线监理检测

隧洞断面开挖放样是直接为施工服务的,而检测工作是监理人员必须的工作。监理人员结合测量仪器和计算工具,依据具体的施工图纸进行隧洞断面开挖检测验收,检查开挖断面尺寸,核定超挖部分回填混凝土量。本文就海原县石峡口水库水工建筑物地下大洞径隧洞断面开挖后的检测计算方法作了论述,找出了解决该问题的办法,希望为类似工程监理及施工工作起到抛砖引玉的作用。     

RTK技术在沛县新城区图根控制测量中的应用

叙述了RTK技术在沛县新城区图根控制测量中的应用,通过比较分析说明：RTK的测量精度完全能够满足1：500地形测图图根控制的精度要求。     

径向基神经网络GPS高程转换方法

针对GPS高程转换问题,给出了基于径向基神经网络转换GPS高程的模型。用实际观测数据对该模型进行了试验,结果表明,用径向基神经网络转换GPS高程精度高于二次拟合法和BP神经网络法。径向基神经网络能够有效克服BP神经网络局部极小值的缺点,并且具有较高的收敛速度,在GPS高程转换方面具有广阔应用前景。     

Coupled wellbore erosion and stability analysis

This paper extends earlier work on sand erosion and presents an attempt to couple sand erosion to mechanical damage of rock around a wellbore. Porosity which evolves in time and space as surface erosion progresses, is chosen as the coupling parameter. Both rock elasticity and strength (cohesion) are assumed to depend on porosity in such a way that the material becomes weaker with increasing porosity. The mathematical model, consists of erosion equations, mixture flow equations and stress equilibrium equations, is solved numerically by Galerkin finite element method. Numerical results suggest that erosion, resulting in sand production, is high close to the free surface. Erosion is accompained by changes in porosity and a significant permeability increase. Erosion in the vicinity of the wellbore induces alterations in the mechanical behaviour of the medium. Weakening of rock stiffness leads to severe alteration of both effective stresses and pore pressure near the cavity. Since cohesion decreases with increasing porosity, one can also identify the time instant at which rock mechanical failure starts. © 1998 John Wiley & Sons, Ltd.     

东北冷涡的多普勒雷达资料特征分析

多普勒雷达探测东北冷涡具有一定的径向速度特征;应用蓝金(Rankine)模式进行数值模拟,结果表明,其模拟的多普勒速度分布特征与多普勒雷达实际探测冷涡的特征极其相似;根据多普勒径向速度特征确定冷涡中心,进而应用不同时刻资料确定冷涡的移动路径,对实际业务有很好的应用价值。     

辐射沙脊主要水道的演变特征及其水动力机制研究

近四十年来的水下地形资料对比显示：南黄海辐射沙洲区水道普遍存在逐渐向南偏移的趋势（西洋主槽冲深、南延,南翼烂沙洋水道、小庙洪水道向南逼进）。有关辐射沙洲整体南移的原因及机理虽有诸多猜想,但至今没有统一可靠的认识,这种趋势性过程的驱动力成为辐射沙洲区海岸冲淤动态研究及港口建设过程中亟待解决的问题。在恢复黄河北归以来苏北黄河三角洲海岸不同发育阶段的岸线位置和水下地形的基础之上,通过所建立的潮波数学模型,研究了在苏北黄河三角洲不同演变阶段南黄海潮波系统的特征及水动力变化。研究表明,随着岸线后退和水下三角洲的夷平,辐射沙洲地区潮差不断增大;水动力不断加强,而且加强的区域逐渐向南偏移,这种大范围区域性水动力主轴的向南偏移就有可能是导致辐射沙洲整体南移的主导因素之一。     

Mitigating systematic error in topographic models derived from UAV and ground‐based image networks

High resolution digital elevation models (DEMs) are increasingly produced from photographs acquired with consumer cameras, both from the ground and from unmanned aerial vehicles (UAVs). However, although such DEMs may achieve centimetric detail, they can also display systematic broad‐scale error that restricts their wider use. Such errors which, in typical UAV data are expressed as a vertical ‘doming’ of the surface, result from a combination of near‐parallel imaging directions and inaccurate correction of radial lens distortion. Using simulations of multi‐image networks with near‐parallel viewing directions, we show that enabling camera self‐calibration as part of the bundle adjustment process inherently leads to erroneous radial distortion estimates and associated DEM error. This effect is relevant whether a traditional photogrammetric or newer structure‐from‐motion (SfM) approach is used, but errors are expected to be more pronounced in SfM‐based DEMs, for which use of control and check point measurements are typically more limited. Systematic DEM error can be significantly reduced by the additional capture and inclusion of oblique images in the image network; we provide practical flight plan solutions for fixed wing or rotor‐based UAVs that, in the absence of control points, can reduce DEM error by up to two orders of magnitude. The magnitude of doming error shows a linear relationship with radial distortion and we show how characterization of this relationship allows an improved distortion estimate and, hence, existing datasets to be optimally reprocessed. Although focussed on UAV surveying, our results are also relevant to ground‐based image capture. © 2014 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd.     

土石坝地震永久变形参数反演方法研究

提出了一种基于径向基网络的土石坝永久变形参数反演分析模型。该模型充分利用了径向基神经网络的非线性映射能力,只需要进行少量的样本设计,即可反演坝体永久变形参数,可以解决土石坝动力参数反演计算耗时长的问题。同时在对永久变形参数进行灵敏度分析的基础上,建立考虑参数灵敏度的网络训练目标函数,进一步提高了反演精度。将所建立的模型用于紫平铺面板堆石坝地震永久变形参数反演,采用三维有限元法进行静动力分析,并采用改进的沈珠江模型计算坝体地震永久变形。结果表明,反演参数计算的大坝地震永久变形和坝体实测永久变形数值接近,趋势一致,因而所建立的模型能够有效地反演坝体地震永久变形参数,为土石坝的动力参数反演提供了一种简便、有效的方法。