水下无源导航系统仿真匹配算法研究

针对水下无源导航(地形辅助导航)系统的特点，充分利用各种海洋地理特征传感器获取信息，进行数据预处理、算法分析、性能评估，然后进行智能数据融合，进而完成水下无源导航系统模块化的仿真设计，为水下无源导航系统的进一步研究提供可行的方法和技术。仿真结果表明，采用水下地形匹配辅助导航，能够有效地修正惯导误差达到设计要求，为真实海洋环境下的精确导航提供可靠的技术依据。     

DLT程序设计与应用

在近景摄影测量直接线性变换原理的基础上，加入附加条件建立附加有平行条件的直接线性变换函数模型，探讨了在解算过程中用数据探测法剔除粗差，用验后补偿的方法补偿系统误差的实现。鉴于非量测像机在近景摄影洲量中应用导致直接线性变换解法的重要性和实用性及数据量大、解算过程过于复杂的情况。用VC 编制了直接线性变换的解算程序，对其关键的方法和用法进行了说明。     

岩体边坡工程中的位移监测及分析

边坡工程的监测取决于监测人员对岩(土)体介质的认识程度和选择相应的方法和手段。通过对江西德兴铜矿大山村选矿厂东部边坡和北部楔形地质结构体稳定状况的监测,阐述了在边坡工程中位移监测的应用及有关分析。     

打桩挤土的现场试验研究及土体位移的计算公式

打桩挤土使周围土体发生位移,对周围其他桩及附近原有建筑物和基础设施产生破坏。本文通过典型工程打桩过程中的监测数据,运用小孔扩张理论结合回归分析方法导出了计算土体位移量的经验公式。运用该公式可定量预估挤土程度,防止意外事故的发生。     

Deconvolving the δO seawater component from subseasonal coral δO and Sr/Ca at Rarotonga in the southwestern subtropical Pacific for the period 1726 to 1997

To reconstruct oceanographic variations in the subtropical South Pacific, 271-year long subseasonal time series of Sr/Ca and δ¹⁸O were generated from a coral growing at Rarotonga (21.5°S, 159.5°W). In this case, coral Sr/Ca appears to be an excellent proxy for sea surface temperature (SST) and coral δ¹⁸O is a function of both SST and seawater δ¹⁸O composition (δ¹⁸O_sw). Here, we focus on extracting the δ¹⁸O_sw signal from these proxy records. A method is presented assuming that coral Sr/Ca is solely a function of SST and that coral δ¹⁸O is a function of both SST and δ¹⁸O_sw. This method separates the effects of δ¹⁸O_sw from SST by breaking the instantaneous changes of coral δ¹⁸O into separate contributions by instantaneous SST and δ¹⁸O_sw changes, respectively. The results show that on average δ¹⁸O_sw at Rarotonga explains ∼39% of the variance in δ¹⁸O and that variations in SST explains the remaining ∼61% of δ¹⁸O variance. Reconstructed δ¹⁸O_sw shows systematic increases in summer months (December-February) consistent with the regional pattern of variations in precipitation and evaporation. The δ¹⁸O_sw also shows a positive linear correlation with satellite-derived estimated salinity for the period 1980 to 1997 (r = 0.72). This linear correlation between reconstructed δ¹⁸O_sw and salinity makes it possible to use the reconstructed δ¹⁸O_sw to estimate the past interannual and decadal salinity changes in this region. Comparisons of coral δ¹⁸O and δ¹⁸O_sw at Rarotonga with the Pacific decadal oscillation index suggest that the decadal and interdecadal salinity and SST variability at Rarotonga appears to be related to basin-scale decadal variability in the Pacific.     

河西走廊东部强雷暴天气分析与预报

根据1961～2000年武威站雷暴天气实况资料分析了河西走廊东部40年强雷暴天气发生的气候规律，并研究了河西走廊东部强雷暴天气发生的4种环流背景及4种主要天气条件，归纳总结出其短期预报着眼点，为雷暴天气预报业务系统的研制奠定了基础。     

泰山顶部近地层风的方差与谱分析

风在速度与方向上的不稳定性可引发结构振动并可导致损坏。山顶风较少受局地作用影响, 流场较稳定，作为典型风况对山顶风湍流脉动情形进行的观测和分析，对于研究建筑结构风载振动情形有着重要意义。在不同风况下对泰山气象站近地层风的风速和风向进行了同时、逐秒测记，所得样本经检验符合正态分布。计算表明，风向样本方差显著大于风速样本方差。绘制了各风速、风向样本自、互谱密度曲线图。谱图显示诸样本具有红噪声序列特征，不同样本自、互谱密度曲线具有相近形状，而以风速自谱曲线吻合程度最好，谱密度曲线在周期为4秒及2秒处有峰值。此后的研究应结合记录仪器的改进增加采样频率，对周期为2秒以下谱曲线作进一步分析。     

中国西南低空急流活动的统计分析

参照北美研究低空急流气候特征的方法，对中国低空急流进行重新定义，实现了低空急流定义的统一，并在此基础上对低空急流活动特征进行了分析。结果表明：中国低空急流主要有两个活动中心，分别位于江南地区和东北地区；江南地区的低空急流活动主要有两个活跃期，分别为1-4月和6-7月；东北地区的低空急流活动主要表现为2月、8-9月两个活动较弱期；江南地区的低空急流主要在6-8月表现出独立的急流轴，东北地区则主要在8月份；汛期低空急流活动与长江流域区域性暴雨有伴随性，多雨年急流次数很多，少雨年则很少；长江中下游及两湖盆地附近急流活动有明显的日变化。     

震级加权四指标Blade算法及在地震带识别中的应用

Blade算法的产生是根据地震点的分布寻找地震断层，其优势在于能从较稀疏的点分布中找出线型条带模式，但不足的是完全不考虑地震的震级屑性。针对Blade算法的几个不足之处逐步改进，提出了震级加权四指标Blade算法。算法主要的改进体现在：①引入以震级为变量的权重函数，体现了高震级地震的控制作用，通过模拟与实例比较了三种权重函数的效果；②改进原方法中所挑出的Blade中心必须有地震点，引入四指标评价体系代替原方法的二指标评价体系，同时还根据指标值将挑选出的线型条带修正到更淮确的位置。将原算法与改进算法应用于华北地区4级以上的地震数据集以按寻地震带，结果表明，震级加权四指标Blade算法较Blade算法有显改进，取得了较好的应用效果。     

Southeastern U.S. Vegetation Response to ENSO Events (1989–1999)

El Niño/Southern Oscillation (ENSO) is considered one of the most powerful forces driving anomalous global weather patterns. Large-scale seasonal precipitation and temperature changes influenced by ENSO have been examined in many areas of the world. The southeastern United States is one of the regions affected by ENSO events. In this study, remote sensing detection of vegetation response to ENSO phases is demonstrated with one-kilometer biweekly Normalized Difference Vegetation Index (NDVI) data (1989–1999) derived from the Advanced Very High Resolution Radiometer(AVHRR). The impacts of three ENSO phases, cold, warm and neutral, on vegetation were analyzed with a focus on two vegetation cover types, two seasons and two geographic regions within the southeastern U.S. Significant ENSO effects on vegetation were found in cropland and forest vegetation cover types based on image and statistical analysis of the NDVI data. The results indicate that vegetation condition was optimal during the ENSO neutral phase for both agricultural and natural vegetation.