古环境研究中深海沉积物粒度测试的预处理方法

对深海沉积物样品进行粒度测试前,应根据研究目的,在预处理过程中有效去除碳酸盐和生物硅,同时完好保留陆源碎屑组分,才能使测试结果准确反映古气候和古环境变化。对采于南海的样品分别加入不同剂量浓度为10％的盐酸或浓度为25％的醋酸,以及不同剂量的NaOH或Na2CO3,同时利用有机元素分析仪、硅钼蓝比色法、环境扫描电子显微镜分析、观察不同方法的预处理效果,并结合粒度测试的结果认为,对于碳酸盐,盐酸和醋酸均可将其有效去除,但由于少量盐酸仍会对陆源矿物组分造成破坏,因此应使用酸性较弱的醋酸;对于生物硅,大剂量的Na2CO3仍难将其有效去除,而使用小剂量的NaOH即可去除干净,但需控制剂量以避免破坏矿物组分。针对南海沉积物中的各种生物组分含量,确定了醋酸和NaOH的使用剂量并建立了预处理流程。     

基于双线性内插规则格网DEM地形误差模型

双线性DEM表面模型的精度包括:使用双线性建模方法从格网量测数据传递过来的误差和地形表面的线性表达导致的精度损失.从理论上推导并证明了地形线性表达的误差极值是格网分辨率与地形坡度乘积的常数倍.并根据地形说明了,在不同地形时常数c的不同取值.     

Remote Targets Recognition Based on Adaptive Weighting Feature Dictionaries and Joint Sparse Representations

With the improvement in resolution, more and more useful information is contained in the space of remote sensing images, which makes the processing of remote sensing data become more complex, and it is easy to cause the curse of dimensionality and the poor recognition effect. In this paper, a remote target recognition approach named AJRC is proposed, which uses joint feature dictionary for sparse representation based on different feature information for adaptive weighting. Firstly, the features of the images are extracted to calculate the contribution weight of each eigenvalue in sparse representation, and each eigenvalue contribution weight is calculated in sparse representation. Through the adaptive method, the contribution ability of each feature value in sparse representation is strengthened, and new atoms are formed to construct feature dictionary, which makes the dictionary more discriminative. Then, the common features of each category image and the private features of a single image are extracted from the feature vector, and a joint dictionary is formed to represent the test image sparse and recognize the output of the target. Aiming at the problem that the target visual contrast difference, the low resolution and the rotation of the target with different angles, the experiment is carried out by different feature extraction methods. At the same time, we use the PCA method to reduce the feature dictionary in order to avoid dimensionality. Experiments show that compared with the existing SRC method and JSM method, this method has better recognition rate.     

Inversion of Vegetation Components Based on the Spectral Mixture Analysis Using Hyperion Data

Hyper spectral remote sensing is widely used to identify ground objects as a result of the advantages of ground radiation intensity characteristics and spectral position characteristics, in which inversion of vegetation components is the difficult point and hotspot. In this study, Huma county of Heilongjiang Province was selected as the study area, the canopy spectra of four types of typical vegetation were measured in situ firstly, including mongolian oak, cotton grass, lespedeza and white birch. Then, on the basis of analyzing the canopy spectral characteristics and their parameterization, the spectral differences of different vegetations were located, and the parameterization method of characteristics identification was determined. Finally, Hyperion data were used to calculate the canopy albedos based on the bidirectional reflectance model of vegetation canopies, and to map the vegetation components in the study area by use of linear spectral mixture model. The results showed that inversion of vegetation components in high vegetation-covered area was accurate using the canopy albedos and liner spectral mixture model, and was identical with the field sampling, which validated the feasibility of canopy albedos and liner spectral mixture model for the inversion of vegetation components.     

三线阵影像外方位元素平滑方程自适应光束法平差

外方位元素数据是影响光学卫星影像几何定位精度的重要因素,其精度不仅取决于姿态和轨道测定系统的精度,还与卫星平台稳定度紧密相关。在实际卫星工程中,姿态测定系统存在突变现象,导致处理航线中上下视差发生较大变化。本文在全三线交会EFP光束法平差理论基础上,提出在光束法平差中采用外方位元素自适应分段平滑策略及其数学模型。即根据立体影像上下视差差分数据,对立体影像进行自动分段;在此基础上,对不同段的外方位元素平滑方程赋予不同权值,共同参与光束法平差。通过实际卫星影像试验表明,该方法可有效抑制卫星姿态测定系统突变对立体影像无控定位精度的影响,尤其是高程精度改善显著。     

Mechanical and microseismic characteristics of sandstones subject to moderate low-frequency differential cyclic loading (DCL) followed by monotonic loading up to failure

Acta Geotechnica - This work aims to experimentally investigate the behaviour of sandstone drilled from an underground coal mine exposed to low-frequency cyclic loading with distinct...     

持续开挖效应下结构面剪切力学性质与能量特征研究

基于地下岩体工程开挖扰动的实际情况,开展考虑持续开挖效应,充分反映岩体结构面应力调整过程的结构面剪切试验更具理论意义和工程应用价值。采用人工劈裂方法制备岩体结构面,开展了常规应力路径和持续开挖效应下的结构面剪切试验,系统研究了两种条件下结构面剪切力学性质、声发射特征和能量的演化规律。研究结果表明：开挖扰动荷载强度越大,结构面发生剪切破坏时的剪应力降整体上越大,但持续开挖效应下的剪应力降最大值仅为常规应力路径下剪应力降的48.57%;考虑持续开挖效应的结构面剪切过程中声发射活动主要集中于结构面受剪破坏和剪应力降产生时,且声发射活动强度与开挖扰动强度正相关,声发射振铃计数变化率极值明显小于常规应力路径下的相应值;持续开挖效应下试样裂纹发育密集度、结构面磨损区域及破坏程度均随开挖扰动强度增加而增加,但试样裂纹发育的密集程度和结构面破坏程度相对常规应力路径下的情况轻;考虑持续开挖效应的结构面发生剪切破坏时弹性应变能随扰动荷载增大而增大,均低于常规应力路径条件下的弹性应变能值,持续开挖效应降低了结构面剪切破坏的强度,但更易引发结构面发生剪切破坏。     

靖远地区大厚度黄土地基浸水湿陷过程及土中竖向应力特征试验研究

为了研究靖远大厚度黄土在浸水条件下的水分入渗规律和自重湿陷变形特征,在中兰铁路沿线的靖远北站黄土自重湿陷场地进行了不打注水孔的现场浸水试验,监测并分析了地表及地下湿陷变形、试坑周围裂缝、含水率和土中竖向应力变化情况,对水分扩散规律、自重湿陷特性和土中竖向应力变化规律进行了研究,并对地区修正系数β0值和浸润角进行了探讨。结果表明：体积含水率变化分为浸水稳定（2个）、快速增加（1个）和缓慢增加（1个）共4个阶段;浸水过程中,水分在21m处竖向入渗加快、径向扩散减缓,湿润峰最终形态呈现为椭圆状。根据探井和钻孔含水率测试结果,推算出浸润角最大为41°。该场地黄土自重湿陷过程历经剧烈湿陷、缓慢湿陷和固结稳定3个阶段。试验结束时共计发展了13圈环状裂缝,裂缝最远处距试坑边缘26m。根据室内试验和现场测试结果,建议地区修正系数沿土层深度进行修正,0～10m内β0值取1.05,10～27 m内β0值取0.95。在地表至21 m深度范围内,地基土浸水饱和且湿陷充分,土中竖向应力沿深度呈线性增加,土中竖向应力接近饱和自重应力,21m以下的地基土未能充分湿陷,土中竖向应力逐渐减小。该研究成果可应用于中兰铁路...