农业生产对气候变化的脆弱性研究方法初探

在总结脆弱性的定义与介绍相关研究方法的基础上，提出了农业生产对气候变化的脆弱性的初步定义、研究思路、指标体系及计算方法，并讨论了区域农业生产对气候变化影响的适应对策应遵循的有关原则。     

The socialization potential of the CDM in EU–Vietnam climate relations

This article argues that the material incentives associated with climate policies such as the Clean Development Mechanism (CDM) may contribute to the socialization of emerging economies such as Vietnam in economic-oriented climate change norms. In current academic research, the CDM has both been extolled as a cost-effective and vilified as an environmentally inadequate instrument. Few studies so far, however, have looked into the CDM's potential contribution to socialization-related phenomena such as raising climate change awareness. This article aims to fill that gap by studying the CDM in EU–Vietnam relations in four periods, namely initiation (2001–2007), improvement (2008–2010), consolidation (2010–2012), and potential habit formation (2012 and beyond), with both the EU and Vietnam being important players in the market for CDM credits (Certified Emission Reductions or CERs). We argue that there is at least a strong potential for habit formation resulting from the CDM's material incentives, and that the underlying causal mechanism involves the emergence and activities of norm entrepreneurs and habit formation through a process of legal institutionalization.

Policy relevance

Normative transformation or change is increasingly attracting the attention of both climate policy makers and scholars alike, certainly in view of the failures of ‘standard’ economic or technological solutions to tackle climate change. There is a need, however, to apply insights from social theory to specific policies and cases. The policy relevance of this article lies here: does the CDM (a specific policy) affect climate concerns (norms) in Vietnam (a specific case)? And, if so, to what extent and why? Based on previous research regarding the Chinese case, it is expected that the CDM's material incentives result in a mild effect in Vietnam, probably less pronounced than in China in view of the latter's relative level of economic development, and the strength of its political and legal-institutional system and (human) capacity to develop CDM projects. This article's research findings point out that whether and how ‘deep’ these new shared ideas will succeed in becoming standards of appropriate behaviour in Vietnam might to some extent depend on whether the international community is able to offer a material incentive structure that fosters such a normative transformation.     

Bayesian Spatial Modelling of Gamma Ray Count Data

Gamma ray logging is a method routinely employed by geophysicists and environmental engineers in site geology evaluations. Modelling of gamma ray data from individual boreholes assists in the local identification of major lithological changes; modelling these data from a network of boreholes assists with lithological mapping and spatial stratigraphic correlation. In this paper we employ Bayesian spatial partition models to analyse gamma ray data spatially. In particular, a spatial partition is defined via a Voronoi tessellation and the mean intensity is assumed constant in each cell of the partition. The number of vertices generating the tessellation as well as the locations of vertices are assumed unknown, and uncertainty about these quantities is described via a hierarchical prior distribution. We describe the advantages of the spatial partition modelling approach in the context of smoothing gamma ray count data and describe an implementation that may be extended to the fitting of a more general model than a constant mean within each cell of the partition. As an illustration of the methodology we consider a data set collected from a network of eight boreholes, which is part of a geophysical study to assist in mapping the lithology of a site. Gamma ray logs are linked with geological information from cores and the spatial analysis of log data assists with predicting the lithology at unsampled locations.     

基于可移动角点的航空和地面LiDAR数据配准

针对航空和地面LiDAR数据配准中点云数据的共轭特征较少且精度差异较大的问题,提出了一种基于可移动角点的航空和地面LiDAR数据配准方法:从航空和地面LiDAR数据中分别提取相应的建筑物角点,采用6参数模型对角点进行初始配准;以地面角点为参照,利用迭代移动方法对误差较大的航空角点进行修正;最后根据移动后的航空和地面角点计算获得点云配准关系。实验结果表明,该文方法可取得较好的点云配准效果,角点修正后能有效提升点云配准精度,适合于含有角点特征的航空和地面LiDAR数据配准。     

Distance estimate and progenitor characteristics of SN 2005cs in M51

We present the excitation energies and lifetimes for the  3 s 3 p 3 d  ⁴ F  _7/2,9/2  levels for five aluminium-like ions of the iron group. Apart from the wavelengths, this also includes the transition probabilities and branching ratios for the electric-dipole allowed (E1) and forbidden (M1, E2, M2) lines into the energetically lower lying levels of the  3 s ²3 d , 3 s 3 p ²  and  3 s 3 p 3 d   configurations. Applying systematically enlarged multiconfiguration Dirac–Fock (MCDF) wavefunctions, here the effects of relativity and the electron–electron correlation are treated within the same (computational) model.     

羌塘盆地中央隆起带的重磁场证据及其构造意义

对于羌塘盆地是否存在横贯东西的中央隆起带,目前学术界仍有分歧.本文提供的最新高精度航空重、磁资料证实存在呈东西向贯通羌塘盆地的中央隆起带,并对该带的构造特征进行了精细刻画.隆起带受南北两侧深大断裂控制,其空间跨度（宽度）由西向东逐渐收敛,并被一组近南北向的隐伏断裂系切割、左滑错动.重、磁场资料还显示中央隆起带在双湖东、西两侧存在明显差异：西段基底大规模隆起,基岩深度一般在3~5 km以内,明显浅于南北羌塘坳陷7~15 km的基底埋深;东段基底隆起幅度明显降低,主要表现为潜伏的低隆起,其中双湖—雅曲段基底埋深5~7 km,雅曲—岗尼段基底埋深7~9 km;即中央隆起带基底自西向东"台阶状"降低,隆起的幅度和分布范围受到近南北向断裂控制.构造分层表明,与南羌塘地块相比,北羌塘地块的基底隆起幅度小、稳定性更好.南北羌塘基底地球物理属性的显著差异说明羌塘盆地并不存在统一的前寒武系变质基底,中央隆起带的形成应该与古特提斯洋关闭时形成的混杂岩带有关.     

N同位素质谱分析及其数据处理

本文论述了N同位素质谱分析原理和钢瓶高纯氮标定方法。同时对影响N同位素分析分馏因素作了相应讨论，指出钢瓶子高纯氮同位素标定，要用纯化后的大气氮定值。     

基于ASTER与Sentinel-2A融合数据的云南普朗铜矿化蚀变信息提取

云南普朗铜矿区是我国提高战略性金属矿产铜矿资源的主要潜力地段,该矿区位于多云多雨山地高原区,采用传统地面调查方法开展找矿勘查工作受限较大,而遥感技术可在其中发挥重要作用。鉴于此,本研究选取ASTER和Sentinel-2A多光谱遥感数据,在光谱协同统一两种数据源的地表反射率基础上,采用高通滤波(High-Pass Filtering,HPF)的融合方法兼顾两种数据在短波红外波段和可见光近红外波段的优势,获取了具有高空间分辨率和高光谱保真度的ASTER-Sentinel-2A融合数据集;进而利用"比值+主成分分析法"与"主成分分析+能谱-面积法",开展了普朗铜矿区矿化遥感蚀变信息识别,并通过深入分析及野外验证,提出了对普朗铜矿蚀变信息分布特征及找矿潜力地带的新认识:(1)在原蚀变填图工作中判定为青磐岩化带的东部区域,重新进行了蚀变带的划分;(2)东部区域中新划分的钾化硅化带和绢英岩化带,具有较大找矿潜力。本研究可为普朗铜矿找矿勘查提供参考。     

古生物学数据库现状与数据驱动下的科学研究

化石数据是了解地球历史以及深时生命演化的重要信息来源。通过数百年的积累,古生物学家已经发表了海量的古生物学数据。过去三、四十年里,随着计算机、数据库和互联网技术的快速发展,国内外涌现出大量的古生物学数据库,彼此间的目标、体系架构、数据组织方式和服务对象通常存在显著差异,呈现百花齐放的特点。文章系统介绍了古生物学领域主要数据库的发展历史、数据表结构、数据特征和数据量等建设情况,对比分析了其数据整理方式、核心在线功能、数据共享特点和数据质量控制措施。同时,结合近年来数据驱动下的古生物学领域的科学研究实例,提出一站式全生态链数据平台的建设设想,为深时数字地球（DDE）建设多学科融合、数据开放与共享的大数据平台提供参考。