An improved segmentation approach for planar surfaces from unstructured 3D point clouds

The extraction of object features from massive unstructured point clouds with different local densities, especially in the presence of random noisy points, is not a trivial task even if that feature is a planar surface. Segmentation is the most important step in the feature extraction process. In practice, most segmentation approaches use geometrical information to segment the 3D point cloud. The features generally include the position of each point (X, Y and Z), locally estimated surface normals and residuals of best fitting surfaces; however, these features could be affected by noisy points and in consequence directly affect the segmentation results. Therefore, massive unstructured and noisy point clouds also lead to bad segmentation (over-segmentation, under-segmentation or no segmentation). While the RANSAC (random sample consensus) algorithm is effective in the presence of noise and outliers, it has two significant disadvantages, namely, its efficiency and the fact that the plane detected by RANSAC may not necessarily belong to the same object surface; that is, spurious surfaces may appear, especially in the case of parallel-gradual planar surfaces such as stairs. The innovative idea proposed in this paper is a modification for the RANSAC algorithm called Seq-NV-RANSAC. This algorithm checks the normal vector (NV) between the existing point clouds and the hypothesised RANSAC plane, which is created by three random points, under an intuitive threshold value. After extracting the first plane, this process is repeated sequentially (Seq) and automatically, until no planar surfaces can be extracted from the remaining points under the existing threshold value. This prevents the extraction of spurious surfaces, brings an improvement in quality to the computed attributes and increases the degree of automation of surface extraction. Thus the best fit is achieved for the real existing surfaces.     

Coalbed methane reservoirs’ pore-structure characterization of different macrolithotypes in the southern Junggar Basin of Northwest China

Coalbed methane (CBM) development in the southern Junggar Basin of Northwest China has aroused extensive attention owing to its significant resource potential. The accurate characterization of coal pore structure is important for CBM exploration and production. In order to explore the relationship between coal pore structure and macrolithotype, which has rarely been studied in the southern Junggar Basin, a series of laboratory experiments were performed on eight samples of different macrolithotypes. The results show that the porosity exhibits regularity with macrolithotype in the order bright < semibright < semidull < dull, and also shows an increase with the rise of the inertinite content. The pore-size distribution results show that the dominating pores of bright and semibright coals are usually greater than that of dull and semidull coals in size. The pore-type analysis indicates that the bottleneck pores (Type B) are well developed in dull and semidull coals, while bright and semibright coals mainly host two sides (Type A), namely opened pores and one-side-closed pores (Type C). The pore-type and -size distribution strongly affect pore connectivity refers to the facts that: 1) the proportion of effective porosity increases with an increasing proportion of pores greater than 100 nm in size; and 2) that the mercury withdrawal efficiency is always lower when the pores are mostly of Type B. So the pore connectivity of semibright and bright coals is higher than that of semidull and dull coals. Furthermore, pores are developed mainly in the inertinite, with pore-type being dominated by Type B and C, secondly in the vitrinite, with pore-type being dominated by Type A and C, and less developed in the liptinite with pore-type of B and C. The pore connectivity of each maceral is in the order vitrinite > inertinite > liptinite. Finally, according to the research results, the reservoir fracturing improvement should be more arranged on the dull or semi-dull coals, and the producing layers should be bright or semi-bright coals as much as possible on the premise that the gas contents of coal layers are not much different from each other.     

Prevalence of Bacillus sp. among the biofilm forming community on Ti surface in marine environment

Prevalence of bacterial species involved in biomineralization of manganese on titanium (Ti) surfaces in marine environment was revealed in this research work. This study involves one year sea water exposure of Ti and their periodical biofilm characterization was carried out to quantify the manganese oxidizing bacterial (MOB) presence in the biofilm formed on titanium surfaces. The total viable count study of Ti coupons exposed to sea water for one year resulted in 60% of the MOB in overall biofilm population. The biochemical characterization of MOB isolates were performed for the genus level identification of the seven bacterial isolates. Further, the seven strains were subjected to 16S rRNA gene sequencing. Evolutionary analysis was performed using MEGA 7 to obtain closely related strains within the groups. The manganese oxidizing ability of the bacterial isolates were determined with Leucoberbelin Blue Assay (LBB) and Atomic Absorption Spectroscopy studies (AAS). The results show that among the isolated marine MOB species, Bacillus sp. and Leptothrix sp. have the maximum Mn oxidizing property. The microtitre plate assay was performed to determine the biofilm forming ability of the isolated marine MOB species. All the results have confirmed the prevalence of Bacillus sp. among the biofilm colonizers on Ti surfaces when exposed in sea water.     

非均匀下垫面边界层研究现状与展望

评述了非均匀下垫面大气边界层研究的现状和当前发展所面临的一些问题,就近年来非均匀下垫面边界层这一大气边界层研究中的难点和热点问题的由来,所使用的研究方法和手段的发展以及目前面临和亟待解决的问题做了系统的归纳,并对未来非均匀边界层研究发展的趋势和研究方法做了展望。     

陇中黄土高原LAS在非均匀下垫面的观测优势及其在区域陆面模式验证中的初步应用

目前通用的通量观测技术涡动相关仪（EC）在区域陆面模式验证中存在能量不闭合和空间代表性有限的问题,寻求改进EC观测热通量的新技术是提高陆面模式验证效果的关键环节,大孔径闪烁仪（LAS）的出现有效改善了这一现状。基于黄土高原定西站2010年1月和6月的同步综合观测资料以及目前比较有代表性的陆面过程模式CLM的模拟数据,分析研究了LAS对EC观测地表能量不平衡问题的改进以及LAS对EC在区域陆面模式验证中的提高,结果表明：LAS可有效解决EC观测存在的地表能量不平衡问题,提高EC的地表能量闭合度,在非均匀下垫面LAS观测优势突出;利用LAS观测的感热通量进行区域陆面模式的验证,能够很大程度地避免EC能量不闭合和空间尺度不匹配在验证中造成的偏差,LAS观测更适合于大尺度模拟的验证,验证效果更好。     

缅甸不同矿点翡翠的矿物学特征

通过对缅甸达木坎矿区、帕敢矿区、隆肯矿区的4个矿点翡翠样品的偏光显微镜、电子探针、X射线粉晶衍射等测试,其结果表明:各矿点翡翠均以粒状变晶结构为主,主要矿物为硬玉,次要矿物有钠长石、云母类、辉石类、闪石类矿物、沸石类矿物等。其中,哥因角矿点翡翠矿石中有较大量辉石类矿物,纳莫矿点发现较大量方沸石矿物。沸石是含水矿物,而含水矿物作为矿脉的前锋组成矿物更为合理,故纳莫翡翠矿体形成深度应相对其它矿点更深。隆肯矿点翡翠样品w(A_l2O_3)=23.187%,w(Na_2O)=17.706%,w(TiO_2)=0.349%,w(K_2O)=0.298%,高于其它矿点;哥因角矿点翡翠样品w(CaO)=1.821%,w(MgO)=2.983%,w(FeO)=1.432%,高于其它矿点;纳莫矿点样品w(SiO_2)平均61.91%,为4个矿点中最高。     

贵州普定6种喀斯特石生植物及其土壤的碳酸酐酶活性

以贵州普定喀斯特石漠化区域石生银叶真藓（Bryum argenteum Hedw.）、扭口藓（Barbula unguiculata Hedw.）、穗枝赤齿藓（Erythrodontium julaceum(Schwaegr.)Par.）、美灰藓（Eurohypnum leptothollum(C. Muell. )Ando.）、东亚砂藓（Racomitrium japonicum Dozy et Molk.）和雪茶（地衣）（Thamnolia vermicularia(Ach.)Asa-hina）为对象,研究了这些石生植物和其基质土壤碳酸酐酶（CA）的活性,可为石生植物的生物岩溶作用机理和石漠化生态环境的治理提供一定的参考。结果表明,6种植物CA的活性存在一定的差异,以美灰藓的CA活性272.99 U·g-1(FW)最高,东亚砂藓的CA活性33.45 U·g-1(FW)最低;银叶真藓基部土壤CA活性最高,为101.81 U·g-1(干土),美灰藓CA活性15.95 U·g-1(干土)最低。CA活性与土壤全磷、全钾、石砾含量和土壤含水量之间呈极显著的相关性。      

基于众源轨迹数据的人造地表覆盖增量信息提取

目前,我国已研制出2000年、2010年两期30m分辨率全球地表覆盖数据集。为了保持该数据集的现势性,需要及时发现全球地表覆盖增量信息并更新相应数据。采用遥感影像、测绘数据提取全球地表覆盖变化信息的传统方式,存在费用高,不及时等问题。近年来众源地理数据迅猛发展,特别是由于众源轨迹数据具有免费共享、可靠性强与准实时等优点被广泛应用在交通道路信息提取的应用中。经分析我们发现轨迹数据与人造地表覆盖之间存在一定的对应关系,因此,本文研究提出了一种采用众源轨迹提取人造地表覆盖增量信息的方法。该方法首先对原始轨迹数据进行预处理,然后将轨迹数据栅格化,再依据轨迹点栅格覆盖比率进行人造地表覆盖数据粗提取并去除微小孔洞及独立栅格单元,最后将其与全球人造地表覆盖数据作栅格运算提取人造地表覆盖增量信息,并用纽约市实际轨迹数据验证了该方法的可行性。     

基于LUR的二氧化氮浓度空间分布模拟及其下垫面影响因素分析

随着经济的快速发展,空气污染已经成为当今重要的环境问题,引起公众的广泛关注,二氧化氮（NO₂）作为主要的空气污染物之一,成为相关研究的重点。通过监测数据发现,二氧化氮质量浓度值的空间分布具有区域性差异,所以对其空间分布模拟,以及形成区域差异的下垫面影响因素分析,具有重要的研究价值。土地利用回归模型（Land-use Regression,LUR）是将统计方法中的回归模型与空间上的土地利用数据、监测数据和其他相关的地理数据结合分析并在地图上显示的方法。本文结合缓冲区分析、叠加分析、Spearman相关性分析、多元回归分析等方法构建土地利用回归模型（Land Use Regression,LUR）,用于识别与NO₂浓度相关的下垫面影响因素,并模拟NO₂质量浓度的空间分布。LUR模型可以模拟出NO₂质量浓度空间分布特征,并针对下垫面影响因素得到以下结论：城乡居住地及工业用地面积增加、污染源的距离减少和道路长度增加会导致NO₂浓度升高;耕地面积、绿地面积和水域面积的增加会导致NO₂浓度减少;NO₂浓度最高的区域主要集中在工业园区;NO₂浓度值从城区到郊区递减,需要通过改变工业区结构和增加绿地面积来减少城区的NO₂浓度。     

沿河县上覆第四系堆积物下伏泥岩类型滑坡失稳机制分析

建立小寨滑坡水文地质模型,模拟其在不同降雨条件下的渗流场分布及稳定性变化。结果表明,该类型滑坡的失稳演化过程主要分为上覆Q4el+dl堆积阶段、接触带泥岩富水风化阶段和风化带富水软化阶段,风化带富水软化程度与滑体的高渗透性和滑床的隔水特性密切相关,是滑坡失稳破坏的决定性因素;滑坡的发生是因地表降雨下渗受阻,在上覆堆积层及下伏泥岩层间形成富水带,富水加速泥岩风化,并在坡体内形成强风化泥岩软弱层,随地质过程持续,泥岩强风化层逐渐加厚形成软弱带,在极端暴雨气候条件下,软弱带发生蠕变,地表开裂,滑坡形成。