腾格里沙漠东南缘降尘粒度特征和沉积速率

从多年降尘实测资料入手，分析了粉尘粒度特征、沉积速率和时变过程。提出了气象要素相关估测模型．确定０．２５ｍｍ为本区粉尘沉积粒径上限。周围沙漠是粉尘沉积细砂部分的尘源，粉砂和粘土部分沉积来自一个较大的时空范围，二者几乎各占降尘量的１／２。研究区年平均粉尘沉积速率４３５８ｋｇ／ｈｍ２，每年５月的季风转期具有年内最大沉积速率。     

一种顾及电子元件延迟的超宽带室内定位方法

针对超宽带定位系统中存在多种误差影响定位精度的问题,本文全面分析了超宽带室内定位的误差源,给出了超宽带室内定位基本函数模型,提出了将电子元件延迟这一系统差与三维坐标同时作为参数进行估计,并通过高斯-牛顿迭代算法得到定位结果的方法。试验结果表明,该方法能有效消除位置系统偏差,两组静态试验均以全站仪测量结果作为真值,点位误差分别为4.1、2.3 cm,相较于已有方法分别提高了64%和87%,而动态试验结果更接近于参考轨迹,最大误差小于10 cm。     

对雅鲁藏布江结合带形成演化的再探讨

通过1∶5万区域地质调查和收集相关资料的综合研究,本文对雅鲁藏布江结合带的形成演化作了进一步的探讨。雅鲁藏布江特提斯洋具有弧后扩张洋盆的性质,在早三叠世至中三叠世中期洋盆初步形成,中三叠世晚期至晚三叠世洋盆全面形成,从早侏罗世至晚白垩世洋盆逐步萎缩,到古新世至始新世关闭。南带的蛇绿岩主要为洋中脊扩张型(MORB型),形成于中三叠世晚期至晚三叠世。北带的蛇绿岩主要为与洋内俯冲相关的俯冲带上盘型(SSZ型),形成于早中侏罗世。带内侏罗纪至白垩纪其他岩浆岩主要为前弧玄武岩类(FAB型)。显示雅鲁藏布江特提斯洋从早侏罗世开始发生了洋内俯冲,并同步向北向冈底斯带之下主动俯冲消减和向南向喜马拉雅地块之下被动俯冲消减,持续发展到晚白垩世,在古新世至始新世俯冲碰撞消亡转化为结合带。     

在某污染的工业废物填埋场环境水文 地质评价中的同位素水文学研究

本文论述了某污染的工业废物填埋场场址的地质、水文地质条件,应用水化学方法、环境同位素技术(地下水中氚及氢、氧稳定同位素)和同位素单孔示踪技术等同位素水文学领域中的新方法对区内地下水的活动条件以及填埋场场址区分布的第四系孔隙潜水和第三纪红层孔隙-裂隙水的成因进行了分析,测量并确定了填埋场下部地下水的流速及流向。研究结果表明场区地下水的运动与地表水无直接水力联系。污染的工业废物填埋后不会通过地下水的迁移造成对地表水的污染,进而证实填埋场的地质、水文地质条件对处置污染的工业废物是安全可靠的。     

Thermal equation of state of natural tourmaline at high pressure and temperature

Synchrotron-based in situ angle-dispersive X-ray diffraction experiments were conducted on a natural uvite-dominated tourmaline sample by using an external-heating diamond anvil cell at simultaneously high pressures and temperatures up to 18 GPa and 723 K, respectively. The angle-dispersive X-ray diffraction data reveal no indication of a structural phase transition over the P–T range of the current experiment in this study. The pressure–volume–temperature data were fitted by the high-temperature Birch–Murnaghan equation of state. Isothermal bulk modulus of K ₀ = 96.6 (9) GPa, pressure derivative of the bulk modulus of \(K_{0}^{\prime } = 12.5 \;(4)\), thermal expansion coefficient of α ₀ = 4.39 (27) × 10^?5 K^?1 and temperature derivative of the bulk modulus (?K/?T) _P  = ?0.009 (6) GPa K^?1 were obtained. The axial thermoelastic properties were also obtained with K _a0 = 139 (2) GPa, \(K_{a0}^{\prime }\) = 11.5 (7) and α _a0 = 1.00 (11) × 10^?5 K^?1 for the a-axis, and K _c0 = 59 (1) GPa, \(K_{c0}^{\prime }\) = 11.4 (5) and α _c0 = 2.41 (24) × 10^?5 K^?1 for the c-axis. Both of axial compression and thermal expansion exhibit large anisotropic behavior. Thermoelastic parameters of tourmaline in this study were also compared with that of the other two ring silicates of beryl and cordierite.     

利用多频多系统GNSS OEM板卡实现高精度变形监测

针对近年来被广泛应用的多频多系统GNSS OEM板卡,设计并实现了一套基于多频多系统OEM板卡的低成本变形监测系统,包括数据解码、基线处理、网平差和坐标转换等,能够实时获取测站点高精度空间坐标。以某高层建筑形变监测为例,通过串口通信获取板卡多频多系统观测信息,并经过该系统解算,实现了监测点实时定位,且系统成本相比市场上测量型GNSS接收机系统下降了约40%。实验结果表明,该系统解码精度可达0.2 mm,静态模式定位精度可达到平面2 mm以内,高程5 mm以内,动态模式定位精度可达到平面5 mm以内,高程10 mm以内,验证了该系统的可靠性和适用性。     

The influence of Stokes drift on oil spills: Sanchi oil spill case

Spilled oil floats and travels across the water’s surface under the influence of wind, currents, and wave action. Wave-induced Stokes drift is an important physical process that can affect surface water particles but that is currently absent from oil spill analyses. In this study, two methods are applied to determine the velocity of Stokes drift, the first calculates velocity from the wind-related formula based upon a one-dimensional frequency spectrum, while the second determines velocity directly from the wave model that was based on a two-dimensional spectrum. The experimental results of numerous models indicated that: (1) oil simulations that include the influence of Stokes drift are more accurate than that those do not; (2) for medium and long-term simulations longer than two days or more, Stokes drift is a significant factor that should not be ignored, and its magnitude can reach about 2% of the wind speed; (3) the velocity of Stokes drift is related to the wind but is not linear. Therefore, Stokes drift cannot simply be replaced or substituted by simply increasing the wind drift factor, which can cause errors in oil spill projections; (4) the Stokes drift velocity obtained from the two-dimensional wave spectrum makes the oil spill simulation more accurate.     

基于MATLAB COM组件的变形监测与分析软件开发

论述了桥梁变形自动监测系统数据的频谱分析以及小波分析方法,并利用MATLAB编译的COM组件,实现了在VC中调用该COM组件以实现脱离MATLAB环境的变形分析软件开发。