Surface description for urban climate studies: A gis based methodology

In order to understand the nature of the urban climate, predict the effects of urbanization, or attempt to ameliorate some of the negative hydroclimatic effects of urbanization, it is necessary to have a good understanding of the role and significance of the urban surface. This paper presents a methodology which uses GIS to represent the characteristics and morphology of the urban surface, which can be used to describe a site objectively, model fluxes, or ensure spatial consistency between measured and modelled data, all of which can vary through time. The methodology is illustrated with respect to Chicago, Illinois. Surface data collected at three spatial scales were used to construct a georeferenced database which was linked to an objective, dynamic accessing system. Spatial variability of surface cover, derived hydroclimatic attributes, and modelled fluxes associated with changes in the urban environment are used to illustrate potential applications of the approach.     

Evaluation of fuzzy-based classifiers for cotton crop identification

In this study, an evaluation of fuzzy-based classifiers for specific crop identification using multi-spectral temporal data spanning over one growing season has been carried out. The temporal data sets have been georeferenced with 0.3 pixel rms error. Temporal information of cotton crop has been incorporated through the following five indices: simple ratio (SR), normalized difference vegetation index (NDVI), transformed normalized difference vegetation index (TNDVI), soil-adjusted vegetation index (SAVI) and triangular vegetation index (TVI), to study the effect of indices on classified output. For this purpose, a comparative study between two fuzzy-based soft classification approaches, possibilistic c-means (PCM) and noise classifier (NC), was undertaken. In this study, advanced wide field sensor (AWiFS) data for soft classification and linear imaging self scanner sensor (LISS III) data for soft testing purpose from Resourcesat-1 (IRS-P6) satellite were used. It has been observed that NC fuzzy classifier using TNDVI temporal index – dataset 2, which comprises four temporal images performs better than PCM classifier giving highest fuzzy overall accuracy of 96.03%.     

敦化大蒲柴河金矿区弱研磨性岩层的综合钻探技术

坚硬弱研磨性地层钻进效率低一直是敦化大蒲柴河金矿区钻探难题,通过投磨料、调整钻头技术参数等措施得到了一些改善,尤其是液动潜孔锤的成功应用,彻底解决了该矿区钻进效率低下难题;此外,对复杂坍塌、漏失、涌水不稳定地层采用重晶石粉加水泥灌注的技术措施,解决了孔壁严重垮塌问题。     

氯化钯作基体改进剂石墨炉原子吸收光谱法测定土壤中的铍

铍是一种对人体有害的金属元素,土壤中铍的测定目前尚无国家标准方法.本文采用盐酸-硝酸-氢氟酸体系微波消解、石墨炉原子吸收光谱法测定土壤样品中的铍,实验了钯、硝酸铝、硝酸镁、钙盐的增敏效果.结果表明,以氯化钯为基体改进剂,灰化温度和原子化温度分别提高到1100℃和2650℃,原子化峰形尖锐,背景吸收很小,提高了测定灵敏度;其他三种基体改进剂虽然也能提高测定灵敏度,但背景吸收较大.采用优化的实验条件,Fe、Mg、K、Na、Ca、Ti、Cu、Ba、Mn、Zn、Pb、Sr等共存元素对测定不产生干扰.铍的浓度在0 ～4.00 μg/L范围内线性良好,方法检出限为0.01 μg/g,精密度(RSD,n=6)为3.5％ ～6.7％,实际土壤样品的加标回收率为84.0％ ～ 113.0％,土壤国家标准物质的测定值在标准值的误差范围内.本法与萃取光度法、电感耦合等离子体发射光谱/质谱法相比,操作简便,分析成本较低.     

In Situ Determination of Au and Cu in Natural Pyrite by Near‐Infrared Femtosecond Laser Ablation‐Inductively Coupled Plasma‐Quadrupole Mass Spectrometry: No Evidence for Matrix Effects

Gold and copper concentrations were determined in natural pyrite by near‐infrared femtosecond LA‐ICP‐QMS, using both sulfide reference materials (pyrrhotite Po‐726 and in‐house natural chalcopyrite Cpy‐RM) and NIST SRM 610 as external calibrators. Firstly, using NIST SRM 610 as the external calibrator, we calculated the Au concentration in Po‐726 and the Cu concentration in Cpy‐RM. The calculated concentration averages for Au and Cu were similar to the values published for Po‐726 and Cpy‐RM, respectively. Secondly, we calculated Au and Cu concentrations taking NIST SRM 610 as an unknown sample and using Po‐726 and Cpy‐RM as external calibrators. Again, the average values obtained closely reflected the preferred concentrations for NIST SRM 610. Finally, we calculated Au and Cu concentrations in natural pyrite using sulfide and silicate reference materials as external calibrators. In both cases, calculated concentrations were very similar, independent of the external calibrator used. The aforementioned data, plus the fact that we obtained very small differences in relative sensitivity values (percentage differences are between 5% and 17% for ⁵⁷Fe, ⁶³Cu and ¹⁹⁷Au) on analyses of silicate and sulfide RMs, indicate that there were no matrix effects related to the differences in material composition. Thus, it is possible to determine Au and Cu in natural sulfides using NIST silicate glasses as an external calibrator.     

A study of supervised classification accuracy in fuzzy topological methods

The multiple classifier system (MCS) is an effective automatic classification method, useful in connection with remote sensing analysis techniques. Combining MSC with induced fuzzy topology enables a decomposition of image classes. This fuzzy topological MCS then provides a new and improved approach to classification. The basic classification methods discussed in this paper include maximum likelihood classification (MLC), minimum distance classification (MIND) and Mahalanobis distance classification (MAH).     

高精度差分GPS/INS组合系统中的模糊度处理策略

本文简要介绍了差分GPS/INS组合系统在单历元模式和多历元模式下适用的模糊度基本解算方法,分析了各自的优缺点,并提出了一种综合的GPS/INS组合系统模糊度处理策略。实验表明,在综合两种模式的动态模糊度解算方法的基础上引入基于周跳探测修复的模糊度传递以及INS辅助,对于不良观测条件下的模糊度固定具有十分显著的改善。     

抗几何攻击的高分辨率遥感影像半盲水印算法

提出了一种可有效抵抗几何攻击的高分辨率遥感影像半盲水印算法。该算法充分考虑了高分辨率遥感影像的特点,在水印嵌入方案中,对原始水印信息进行扩频处理,将水印值与最高有效位进行匹配,生成密钥矩阵,水印嵌入到最高位或次低位,并以二进制方式保存生成的密钥矩阵;在水印提取方案中,采用模板匹配技术提取出最优的水印信息。实验结果表明,该水印方案具有良好的不可见性,并且对影像的裁剪、旋转、平移、加噪、滤波等操作具有较强的鲁棒性。     

竖向质量分布对框架结构动力特性影响的研究

在框架结构动力分析中,往往是把填充墙质量集中在楼层处进行求解.文中考虑填充墙实际分布对结构自振特性的影响,通过传递矩阵法求解结构自振频率和振型,并进一步分析了高阶频率的分布规律.结果表明,与采用集中质量模型的振型叠加法相比,填充墙的竖向质量分布会对框架结构高阶频率产生很大影响;框架结构的高阶模态具有局部性和密集分组的特...     

弹性各向异性介质岩石体波相速度计算

综述弹性波相速度计算的若干严格数值方法和近似解析方法,对数值算例及对不同方法作了比较.结果显示,不同数值方法得到结果一致,其适用于计算任意复杂各向异性介质岩石的相速度,但不便从物理意义的角度去分析物理参数对速度的影响;而近似解析解虽然精确程度各有不同,但是便于从物理意义的角度去进行速度分析,并在此基础上解析求取群速度这...