Accuracy of tree diameter estimation from terrestrial laser scanning by circle-fitting methods

This study compares the accuracies of diameter at breast height (DBH) estimations by three initial (minimum bounding box, centroid, and maximum distance) and two refining (Monte Carlo and optimal circle) circle-fitting methods The circle-fitting algorithms were evaluated in multi-scan mode and a simulated single-scan mode on 157 European beech trees (Fagus sylvatica L.). DBH measured by a calliper was used as reference data. Most of the studied circle-fitting algorithms significantly underestimated the mean DBH in both scanning modes. Only the Monte Carlo method in the single-scan mode significantly overestimated the mean DBH. The centroid method proved to be the least suitable and showed significantly different results from the other circle-fitting methods in both scanning modes. In multi-scan mode, the accuracy of the minimum bounding box method was not significantly different from the accuracies of the refining methods The accuracy of the maximum distance method was significantly different from the accuracies of the refining methods in both scanning modes. The accuracy of the Monte Carlo method was significantly different from the accuracy of the optimal circle method in only single-scan mode. The optimal circle method proved to be the most accurate circle-fitting method for DBH estimation from point clouds in both scanning modes.     

Big data analytics: six techniques

Abstract

Big data have 4V characteristics of volume, variety, velocity, and veracity, which authentically calls for big data analytics. However, what are the dominant characteristics of big data analysis? Here, the analytics is related to the entire methodology rather than the individual specific analysis. In this paper, six techniques concerning big data analytics are proposed, which include: (1) Ensemble analysis related to a large volume of data, (2) Association analysis related to unknown data sampling, (3) High-dimensional analysis related to a variety of data, (4) Deep analysis related to the veracity of data, (5) Precision analysis related to the veracity of data, and (6) Divide-and-conquer analysis related to the velocity of data. The essential of big data analytics is the structural analysis of big data in an optimal criterion of physics, computation, and human cognition. Fundamentally, two theoretical challenges, ie the violation of independent and identical distribution, and the extension of general set-theory, are posed. In particular, we have illustrated three kinds of association in geographical big data, ie geometrical associations in space and time, spatiotemporal correlations in statistics, and space-time relations in semantics. Furthermore, we have illustrated three kinds of spatiotemporal data analysis, ie measurement (observation) adjustment of geometrical quantities, human spatial behavior analysis with trajectories, data assimilation of physical models and various observations, from which spatiotemporal big data analysis may be largely derived.     

磷灰石Eu/Y-Ce:基于大数据的源区类型判别新图解SCIEI北大核心CSCD

磷灰石广泛分布于火成岩、沉积岩和变质岩中,是一种常见的、包含丰富微量元素的副矿物。磷灰石晶格可容纳丰富的微量元素,且因其形成的物理化学条件不同会表现出差异明显的微量元素特征。利用磷灰石微量元素特征可以追踪物质来源和演化。现在常用的方法是利用磷灰石的微量元素绘制二元判别图解,经典判别图解包括Sr-Y、Sr-Mn、Y-(Eu/Eu^(*))和(Ce/Yb)_(N)-REE图解。随着微区测试技术发展,磷灰石微量元素数据日渐丰富,同时由于磷灰石化学成分的复杂性,传统图解已逐渐无法有效利用这些数据所携带的信息,进而无法准确判别其生成环境。建立能准确判别磷灰石物源的新型判别图解故而迫切。近年来,磷灰石微量元素数据的大量积累,为运用以大数据为依托,准确判别磷灰石物源奠定了数据基础。本研究将大数据技术与地球化学数据相结合,共收集整理了1925个代表性磷灰石测试点的微量元素数据,对富碱性火成岩、超镁铁质岩石、镁铁质火成岩、长英质花岗岩、中-低级变质岩、高级变质岩六种类型中磷灰石微量元素数据进行穷举端元处理,共获得7140个磷灰石物源判别图解端元组合,在轮廓系数限定下,进一步有效筛选并提取出能判别磷灰石物源类型的最优图解端元。本文构建了Eu/Y-Ce磷灰石判别新图解,相较于之前的磷灰石判别图解,其涵盖了更全面的物源类型,可以更准确地判别源区类型。     

与时俱进是科学研究的灵魂

与时俱进,意思是行动和时代一起进步,出自1910年初蔡元培撰写的《中国伦理学史》。但把与时俱进提高到理论的高度,则是中国共产党人对哲学的贡献。文中总结了笔者在长期科学研究中发现的问题,通过分析科学概念、理论及其发展过程方面的认识,阐述了科学研究中践行与时俱进思想的重要性,指出践行与时俱进的思想需要解决好6个方面的问题：（1）我们已经进入现代科学时代和大数据时代,我们的思想不能停滞在近代科学时代;（2）科学研究的发展没有天花板,科学要向无尽的前沿进发;（3）不确定性思想需要与时俱进;（4）与时俱进要加强学习;（5）与时俱进要虚怀若谷,“清空杯子”;（6）与时俱进要破除“以不变应万变”的消极、被动、不作为思想。文中还列举了一些实例说明在自然科学界践行与时俱进的重要性。     

Review on status of groundwater database and application prospect in deep-time digital earth plan

Groundwater is an important water resource. The total amount of active groundwater in a hydrological cycle is about 3.5 times that of the total amount of surface water. The information in the deep groundwater records the material exchange and dynamics in the earth’s evolution, which is an important aspect of the Deep-Time Digital Earth (DDE) plan. In recent years, scientists have discussed the distribution of transboundary aquifers and the environmental significance of groundwater resources through groundwater databases established by international organizations, such as the Global Groundwater Information System and the chronicles consortium, and national institutes, such as national geological surveys. The application of the groundwater database in the DDE plan, however, has been limited by the management, interactivity, and monitoring method of the groundwater data. The ability to further integrate data that are private and scattered across research institutions and individuals, while establishing an open, unified, and shared groundwater data platform, is essential to enhance our understanding of groundwater, ranging from shallow to deep water, which is a goal of the DDE plan. In this study, we introduced the current situation of groundwater database operations in domestic and international research and provided frontier research with groundwater big data. Considering the related objectives of the DDE plan and the limitations of existing groundwater databases, we proposed an improvement plan and new prospects for applying groundwater databases in the research of the deep earth.     

基于GEOROC大数据分析地壳厚度地球化学指标

前人研究认为,火山岩中部分地球化学指标与岩浆弧地壳厚度之间存在一定的相关性,并通过统计主量元素K2O、Ca O和Na2O指标及微量元素Ce/Y、Sm/Yb、Dy/Yb、Sr/Y、La/Yb指标与地壳厚度之间关系,约束地质史上某些区域的地壳厚度发展和变化。本文基于GEOROC数据库,以Si O2含量57%和火山岩年龄23Ma为界,将全球火山岩数据分成年轻-壳源( 57%,23Ma)、年轻-幔源(57%,23Ma)、古老-壳源( 57%, 23Ma)和古老-幔源(57%, 23Ma)四个数据集,并通过核函数估计方法获得了各个地球化学指标与地壳厚度的归一化联合概率密度分布图。本文统计结果表明,年轻-幔源火山岩中的K2O含量分布与壳源火山岩呈现指数正相关关系、Ca O含量分布于地壳厚度呈现线性负相关关系,年轻-壳源火山岩中Ce/Y、La/Yb和Sm/Yb与现今地壳厚度有指数正相关关系。由以上5种地化指标建立的回归方程确定系数R2均大于0. 7,可以认为相关关系显著。本文认为幔源岩浆在穿透地壳到达地表过程中,地壳厚度控制了富K壳源物质进入地幔熔体和富Ca矿物结晶分异过程,导致了火山岩中K2O和Ca O含量的相关变化;而下地壳部分熔融形成的壳源岩浆,不同深度压力控制了残留相矿物比例,导致Ce/Y、La/Yb和Sm/Yb体现出与地壳厚度的相关性。本文建立的回归函数是基于大量数据概率密度分布的统计分析得出的,由于离群数据普遍存在,回溯历史地壳厚度变化需要大量数据统计支撑,否则难以获得可靠的结果。     

构建“大南岳旅游圈”背景下的南岳衡山竹文化旅游开发研究

南岳衡山素以云海、林海、花海而称胜。在国民生活方式和行为意识由"小康型"向"生态型"升华,并以竹文化生态旅游为时尚的当今世界,南岳衡山对游客的吸引力日渐凸显。因其具有毛竹生产的适宜生态环境、竹文化旅游开发的交通区位优势,同时具有竹林面积大而分布相对集中、竹品开发历史悠久而用途广泛、竹文化工艺品位高且知名度大等资源特色,预示着其竹文化旅游市场前景广阔。但必须保证重点、择优开发、规划先行、科学兴竹,且宜于主打"中华寿岳"竹文化品牌,重点发展竹文化长寿养生休闲度假旅游,优先开发后山竹文化旅游资源。     

http://www.sciencedirect.com/science/article/pii/S1674987110000034

<正>We synthesize significant recent results on the deep structure and origin of the active volcanoes in mainland China.Magmatism in the western Pacific arc and back-arc areas is caused by dehydration of the subducting slab and by corner flow in the mantle wedge,whereas the intraplate magmatism in China has different origins.The active volcanoes in Northeast China(such as the Changbai and Wuda-lianchi) are caused by hot upwelling in the big mantle wedge(BMW) above the stagnant slab in the mantle transition zone and deep slab dehydration as well.The Tengchong volcano in Southwest China is caused by a similar process in the BMW above the subducting Burma microplate(or Indian plate). The Hainan volcano in southernmost China is a hotspot fed by a lower-mantle plume which may be associated with the Pacific and Philippine Sea slabs' deep subduction in the east and the Indian slab's deep subduction in the west down to the lower mantle.The stagnant slab finally collapses down to the bottom of the mantle,which can trigger the upwelling of hot mantle materials from the lower mantle to the shallow mantle beneath the subducting slabs and may cause the slab—plume interactions.     

定向钻进技术发展与展望

我国定向钻进技术的研究已进入世界先进国家行列。列举了我国在定向钻进器具方面的科研成果及典型的定向钻进应用实例,着重介绍了目前国际上与定向钻进有关的先进技术,并就我国拓宽定向钻进应用新领域及相应需要研究的新技术提出了参考性建议。