一种基于极大曲率的机载LiDAR数据 地形特征提取方法

对于庞大的点云数据来说,从中直接提取多种数据特征是相当困难的。考虑到基于数字化等高线数据和数字地面模型提取地形特征受内插误差影响,提出一种基于极大曲率的地形特征提取方法。对初始地面点云进行极大曲率估计;结合欧氏聚类方法进行地形特征点粗提取;对粗提取特征点进行粗糙度分析,得到精确特征点。顾及离散曲率的特征,即曲率越大越接近特征线,得到可靠的地形特征分割结果。该方法不需要人工干预,直接基于机载LiDAR点云数据进行处理。试验表明采用基于极大曲率分割的方法能从点云中自动提取比较完整并且准确的地形特征点。     

多维密度聚类的精细化道路交通运行状况检测

现有的路况检测方法以整条路段为单位进行检测,存在精度不高的问题,且DBSCAN算法用于出租车GPS数据聚类仍存在脱离线性参照系统、假噪声和簇内速度差异大等问题。在线性参照系统中定位GPS点,以两点间的测量值距离作为空间距离,同时增加速度距离约束,提出一种基于DBSCAN算法的多维密度聚类算法,使其适用于精细化路况检测;在此基础上构建路况事件表,并利用动态分段技术对路况事件进行管理和可视化,满足实际应用中对路况检测精度的要求。以上海市出租车GPS数据和路网数据为例进行实验分析,结果表明,提出的方法能够实现较为精细的路况检测。     

盱眙、明光、临泽坡缕石的八面体阳离子占位及对其性能的影响

坡缕石是一种21型链层状结构含水富镁铝硅酸盐矿物,具有重要的资源和材料属性。不同成因、产状坡缕石八面体中类质同象替代有很大差别,而八面体类质同象替代对坡缕石性能的影响未见研究报道。本文以中国最具代表性的安徽明光、江苏盱眙、甘肃临泽坡缕石为研究对象,研究了三种坡缕石的Al、Mg、Fe含量及在八面体中的占位,并探讨了八面体的Al、Mg、Fe占位对坡缕石中水的种类和含量、表面电位和酸位以及对Pb2+、Cd2+吸附性能的影响。结果表明：明光坡缕石相对富镁,八面体主要被Mg2+占据,具有三八面体特征;盱眙、临泽坡缕石相对富铝、铁,八面体主要被Al3+占据,表现出更多的二八面体特征。盱眙坡缕石由于M1位置空位较多,结构水含量较低;坡缕石类质同象替代对Zeta电位影响不大;具有二八面体特征的盱眙、临泽坡缕石由于八面体中Al含量较高,酸位较多,催化性能较好。在重金属吸附实验中,明光坡缕石对Cd2+的吸附效果最好,盱眙坡缕石对Pb2+的吸附效果最好,临泽坡缕石吸附性能较差。本文可为坡缕石的改性和应用提供指导和参考。     

南黄海和东海毛颚类生态特征的研究Ⅱ.群落特征

在对南黄海和东海毛颚类生态特征的研究数量分布特征后的续篇.重点探讨调查区毛颚类群落性质和群落结构的特征及与海区环境因子的相关性.结果表明,本区共记录毛颚类28种,种类季节变化不明显,周年共有种达64.3%;但群落优势种则有季节差异与区域差异.毛颚类群落多样性指数(H')和均匀度(J')年均值分别为1.68和0.64.H'的平面分布表现出外部海区大于近岸海区的分布格局.在群落中存在4个生态类群,其中近海暖温带类群和广盐暖水类群可分别指示黄海水、浙江沿岸流和东海陆架混合水在南黄海和东海这两个海区的相互推移和消长过程.此外,从不同侧面的计算分析也表明,影响群落特征值(H')的主要因子是温度和盐度.群落性质是以近岸暖温带低盐种和暖水广布种为主,近岸暖水种和大洋暖水种占一定比例的暖温带-亚热带群落结构的特点.     

基于Hilbert排列码与R树的海量LIDAR点云索引

本文分析当前索引方法存在问题,针对高效海量点云数据的要求,提出一种基于Hilbert码与R树的二级索引方法。论文阐述了二级索引的建立原理与方法,可通过聚类方法与R树度M值来的优化第一级索引;使用Hilbert R树作为第二索引,可以有效控制两级R树的高度,同时点云的增加与更新可只在局部进行。最后本文通过两组实验来验证该数据组织方法的可行性和跟其他索引(KD树与四叉树)进行比较,得出它是一种高效管理海量点云的方法。     

Analysis on the indicator species and ecological groups of pelagic ostracods in the East China Sea

Ecological adaptation and ecological groups of pelagic ostracods were examined in the East China Sea （23°30′-33°00′N, 118°30′ -128°00′E）, in relation to temperature and salinity. The data were collected in four surveys conducted from 1997 to 2000. The density, yield density, or negative exponent models were used to determine the optimal temperature and salinity of water for the thriving growth of pelagic ostracods. Thereafter, ecological groups and potential distribution patterns of pelagic ostracods were determined based on the predicted parameters such as optimal temperature and salinity, consulting the geographic distribution. The analytical results indicate that, among the numerical dominant pelagic ostracods in the East China Sea （ECS）, Euconchoecia aculeata, E. elongata, E. chierchiae, E. maimai, and Cypridina dentata, etc. are offshore subtropical water species. These species are widely distributed in the area, and they can be brought by the warm current to north offshore during spring and winter. The predicated optimal temperature （OT） and optimal salinity （OS） for Paraconchoecia decipiens, P. echinata, P. spini- fera, P. oblonga, Conchoecia magna and Porroeciaporrecta are all greater than 25℃ and 34 separately. These species are mainly distributed in the waters of the Kuroshio, the Taiwan Warm Current, and the Taiwan Strait, and therefore are designated as ocean- ic tropical water species. On the other hand, Pseudoconchoecia concerttrica is considered as offshore subtropical water species based on its geographical distribution although its OT is 19℃. The other species, though their OSs are approximately 34 and with OTs ranging from 20° to 25℃, are considered as offshore subtropical water species because they were found to be widely distributed from the South China Sea to the East China Sea.     

几种环境因子对虾蟹类非特异性免疫的影响

综述了近10a国内外有关重金属、氨态氮、亚硝酸盐、有机污染物等几种环境因子对虾蟹类非特异性免疫影响的研究成果,以期为通过改善养殖环境条件提高虾蟹类自身免疫抗病力提供理论依据.同时,为进一步深入开展该领域的研究工作积累资料.     

重力异常辅助惯性导航中匹配区提取方法

由于重力场中的重力异常数据是以格网的形式表示的,它与地形的DEM在数据结构上有一定的相似性.因此可借鉴一些数字地形分析的方法,提取重力场的特征区域(匹配区)用于辅助惯性导航.首先,对重力场进行特征提取,通过对特征的比较分析选取其中的某些因子作为重力场特征因子;然后,利用等值线方法对重力场特征数据进行区域分割,提取栅格特征数据区域的矢量边缘,并对这些矢量表示的区域进行聚类处理;最后,利用凸壳算法提取这些区域的凸壳范围线,获得重力异常变化比较显著的区域(匹配区).从而为重力匹配辅助导航提供了必要的参考数据.     

A culture-dependent survey of thermophilic bacteria from hot springs in Xiamen area in China

Microbes are believed to play important roles in ecosystem function in many environments. The hot springs of Xiamen Island are close to the Xiamen Sea, and may have some characteristics different from those of inland hot springs. Microbes living in the hot springs of Xiamen may have new characteristics. However, little is known about microbial communities of hot springs close to the Xiamen Sea. A culturedependent survey of microbial population in the Xiamen hot springs was performed by using an approach combining total cellular protein profile identification and 16S rRNA gene sequencing. A total of 328 isolates of bacteria were obtained from liquid and sediment samples from the Xiamen hot springs, including neutrophilic thermophilic bacteria and moderately thermophilic acidophiles. Neutrophilic thermophilic bacteria, which grow at a temperature range of 55—90℃ including Rhodothermus marinus (Strain 1), Thermus thermophilus (Strain 2), Thermus thiopara (Strain 3), Geobacillus stearothermophilus (Strain 4), Geobacillus thermoleovorans (Strain 5), and Pseudomonas pseudoalcaligenes (Strain 6), were recovered by 2216E plates. Moderately thermophilic acidophiles, which can grow at temperatures above 50℃ and a pH range of 1.8—3.5 such as Alicyclobacillus acidoterrestris (Strain 8), Sulfobacillus acidophilus (Strain 9), and Sulfobacillus thermosulfidooxidans (Strain 10), were isolated on selective solid medium containing sulfur and Fe2+. Among these strains, Rhodothermus marinus, Thermus thermophilus and Geobacillus stearothermophilus are not only thermophiles, but also halophiles. One bacterium strain (Strain 6) shared 99% nucleotide sequence homology with Pseudomonas pseudoalcaligenes on the 16S rRNA gene sequence, but was quite different from Pseudomonas pseudoalcaligenes in biological characteristics, suggesting that it may represent a novel thermophilic species. Results indicated that various species of neutrophilic thermophiles and moderately thermophilic acidophiles were widely distributed in the Xiamen hot springs and that Rhodothermus marinus and Thermus thermophilus dominated the cultivable microbial community.