北大西洋风暴轴高低空分布及其能量诊断

利用1979~2013年NCEP再分析数据,通过经验正交分解对比了前冬时期北大西洋风暴轴的高低空分布,并用涡动动能(Eddy Kinetic Energy,EKE)方程对风暴轴高低空分布型差异进行了诊断。研究结果表明:上层和下层第一空间分布型差异巨大,对流层下层风暴轴中心偏北,靠近极地,而上层风暴轴中心偏西南,靠近北美沿岸。EKE方程诊断结果表明:正压转换项在高低空符号相反,导致了EKE在上、下层分布出现显著差异,即上层正压转换项为负,在扰动发展中起能量耗散作用,而下层正压转换项为正,且极大值区域对应下层EKE极大值区域,为风暴轴下层向极区域增强的主要原因。而斜压转换和非地转位势通量散度在上层均为正,且远大于下层,为风暴轴上层涡动能量维持的原因,也从涡动能量收支上解释了风暴轴的主体出现在上层。     

可视化人体的整体坐标系统

可视人数据集是人体解剖结构的基础信息数据集.为了确定人体结构在三维空间中的准确定位以及在不同个体之间便于比较,文中提出和建立了可视化人体的整体坐标系统.以通过耻骨联合上缘中点的水平横切面为标准原点平面,将人体分为上、下部:上部包括头,颈、胸、腹、上臂、前臂等重要部位;下部包括骨盆、下肢和手.人体的整体坐标系可以确定人体重要结构的每一个体元的空间绝对坐标及相对坐标,在图像的分割、匹配、重建中起重要作用.通过坐标系统的变换,人体整体坐标系统可以方便地应用于临床的定位定量诊断,手术导航,放射定位治疗以及人体运动功能等领域的研究.     

Length‐mass models for some common New Zealand littoral‐benthic macroinvertebrates,with a note on within‐taxon variability in parameter values among published models

Regression models are developed and presented to predict dry mass (mg) from two linear dimensions (mm) for 17 benthic macroinvertebrate taxa common to littoral zones of New Zealand lakes. We also provide regression models to predict body length from head capsule width for the major insect taxa. Dry mass was best explained as a power function of all linear dimensions: M = aL _b .Parameters are presented in the log₁₀‐transformed linear form of this power function. Body length was a simple linear function of head capsule width for all insect taxa, hence parameters for these models are presented as untransformed values. We also provide family level models for the Chironomidae, and compare our chironomid body length‐mass model with other published Chrionomidae length‐mass models. There was a very high degree of variability in parameter values among published length‐mass models for the family Chironomidae (mean coefficient of variation for mass at length = 148%). We discuss the potential causes and implications of this variability.     

On the Conversion of Antarctic Ice-Mass Change to Sea Level Equivalent

This technical note aims to provide a quick reference and some computational examples for the conversion between Antarctic ice-mass changes and global sea level equivalent (SLE) changes using a few assumptions that computationally simplify this complex problem and that acknowledge gaps in our knowledge of the Antarctic environment. A number of factors involved in the conversion process are discussed, and the sensitivity of the conversion result to certain aspects is analyzed. It was found that the global ocean area calculated from a recently improved global shoreline dataset has little impact on the uncertainty of the SLE estimation. SLE estimation using satellite gravity observations, such as those by GRACE, are sensitive to glacial isostatic adjustment (GIA) models. One more important result from the computation is that the effective density of the volume that is gained or lost during mass change may greatly affect the outcome of the conversion if it differs greatly from the actual density of the firn/ice layers. Finally, a table of computational examples is provided for reference under some assumptions for simplifying the computation.     

基于三维流-固耦合模型的油井出砂细观机制研究

油井出砂机制的研究是提高油藏产能和石油开采成本减小的关键课题,而常规的宏观力学理论和方法不能全面反映油藏开采过程中油井出砂的发生和发展。鉴于砂岩储层的物理性质和射孔试验特征,从岩土力学的角度建立基于柱坐标系的三维颗粒流数值模型,与理论分析成果进行比较,以说明该细观数值模型可行性,有效地模拟出砂过程中的渗流及流-固耦合效应。在该基础上,综合考虑流体压力梯度力和拖曳力,基于PFC3D模型模拟流体不同运动时的砂岩性态。数值分析得到的模型宏观应力图形说明流体运动对砂岩力学特性的影响不可忽略,且在相同条件下,流量越大,砂岩的塑性区越大,形成砂岩破坏出砂的几率也越大。同时,不同工况的砂岩黏结分布和颗粒转动图形表明,相同条件下流量越大,颗粒间平行黏结破坏越多,颗粒转动越大,失去黏结约束的颗粒也越多,出砂量就越大,可见两种细观特征图形与宏观应力图形变化规律一致,该模型可用于油井出砂机制的研究,可为出砂量预测及出砂控制提供新的研究思路。     

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分布式光纤振动传感系统中数据采集及信号处理系统设计

本文主要介绍了一套分布式光纤振动传感系统中的数据采集及信号处理系统,该系统设计采用高性能的运算放大电路完成光电信号调理,以高精度差动模数转换器AD9246完成模数转换工作,并选用高性能FPGA作为核心逻辑控制器,并以低功耗的OMAP-L137作为CPU负责振动数据计算、网络通讯等工作,从而使该-OTDR分布式光纤振动传感系统测量范围扩展到25 km范围。本文通过计算相邻测点振动增量方法检测是否发生了振动入侵,提高了分布式光纤振动入侵检测的灵敏度。该设计方法提高分布式光纤振动传感系统的信噪比,使得该系统振动检测灵敏度提高、抗干扰能力增强,因此该分布式光纤振动传感系统可以用于实际工程的振动监控。     

数据格式的Excel实现

各种定位程序要求的基本输入文件一般为纯文本格式,数据格式整理相当烦琐,通过Excel可以实现数据格式正确快速的转换,以简化工作量,提高工作效率。     

Errors prediction for vector-to-raster conversion based on map load and cell size

Vector-to-raster conversion is a process accompanied with errors.The errors are classified into predicted errors before rasterization and actual errors after that.Accurate prediction of the errors is beneficial to developing reasonable rasterization technical schemes and to making products of high quality.Analyzing and establishing a quantitative relationship between the error and its affecting factors is the key to error prediction.In this study,land cover data of China at a scale of 1:250 000 were taken as an example for analyzing the relationship between rasterization errors and the density of arc length(DA),the density of polygon(DP) and the size of grid cells(SG).Significant correlations were found between the errors and DA,DP and SG.The correlation coefficient(R2) of a model established based on samples collected in a small region(Beijing) reaches 0.95,and the value of R2 is equal to 0.91 while the model was validated with samples from the whole nation.On the other hand,the R2 of a model established based on nationwide samples reaches 0.96,and R2 is equal to 0.91 while it was validated with the samples in Beijing.These models depict well the relationships between rasterization errors and their affecting factors(DA,DP and SG).The analyzing method established in this study can be applied to effectively predicting rasterization errors in other cases as well.     

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