急缓流态交替的陡坡河道水动力模型

为解决河道水动力模拟中由于局部急、缓流态交替可能导致计算不稳定、模拟过程无法实施的问题,提出根据实际河段存在的缓流、急流、水跌以及水跃4种流态,采用基于特征线、水量平衡等原理在各流态分界处添加内部边界的思路,建立基于Preissmann方法的复杂流态自适应模拟模型。所构建的模型能保持Preissmann方法的特点,即相邻断面离散模板以及河道首末断面各需给定一个边界条件,该特点有利于方法直接与现有成熟河网水动力模型连接。理想算例的计算结果表明方法能够模拟急、缓流之间的渐变过渡;而石亭江的实际算例表明在急、缓流态频繁交替时,采用单河道模式及河网模式均能收敛到恒定状态,满足模拟实际复杂流态时的稳定性要求。     

基于自定义RDD的海量遥感图像并行镶嵌方法

图像镶嵌是遥感图像处理中的重要内容,在跨区域遥感图像分析中发挥重要作用。为了解决传统遥感图像并行算法中存在的计算节点利用率低、频繁数据I/O等问题,本文根据Spark分布式内存计算框架,充分利用Spark利于迭代数据处理的优势,提出了一种基于Spark自定义RDD（弹性分布式数据集）的并行镶嵌方法。该方法首先在集群的多个节点上通过相位相关法执行图像重叠区域估计操作,从而提高了图像重叠区域估计的多节点并行计算;然后,通过重写Spark中RDD的compute和getPartitions方法,自定义针对遥感图像处理的RDD,并将图像镶嵌中的重叠区域估计、图像配准和图像融合3个关键步骤作为自定义RDD的Transformation类型的操作算子;最后,通过隐式转换创建自定义RDD,并调用自定义RDD的操作算子实现图像镶嵌的并行处理。实验结果表明,与传统基于MPI的并行镶嵌算法相比,该方法在保证图像镶嵌效果的基础上,能够有效提高大数据量的图像镶嵌效率。     

人类活动对土壤有机碳库的影响研究进展

土壤有机碳库动态变化直接影响全球的碳平衡, 土壤有机碳库研究是全球碳循环研究中的关键。研究人类活动影响下的土壤有机碳库的动态特征及其过程机制,不仅可降低对未来气候预测的不确定性,也可为土壤固碳技术的选择和政策制定提供理论依据。从土地利用方式变化、耕作方式与管理两方面详尽阐述了国内外关于人类活动影响下土壤有机碳库动态的研究进展,提出应加强土地管理、采取适当的农业耕作措施来减少土壤有机碳的流失,以提高土壤对碳的固定。     

山西地震台网“九五”与“十五”期间地震定位方法对比分析

选取山西地震台网2007年1月至2008年6月产出的数据,运用“十五”和“九五”两种定位系统的的定位软件进行处理,对比定位参数之间的差异。初步认为,山西台网“十五”期间的定位结果是可信的,与“九五”的定位结果差异不大。JOPENS系统的单纯型法是比较优的定位方法,适用于网内、网缘和网外的近震;HYP2000法适用于网内近震。     

砂土中群锚锚周土体变形特性模型试验研究

群锚是常见的基础形式应用较为广泛,由于群锚之间的相互作用,群锚上拔过程中锚周土体的变形破坏机制比较复杂。采用非接触式数字图像相关方法（DIC）对群锚上拔过程开展模型试验研究,分析了群锚上拔过程中上拔力-位移关系曲线特征和锚周土体变形破坏机制。试验结果表明,密实度和埋深对群锚上拔力-位移关系曲线特征具有显著影响,在相同密实度、相同埋深率下浅埋与深埋群锚与同条件下的单锚具有相似的上拔力-位移关系曲线特征;群锚抗拔承载力具有明显的叠加效应,且砂土密实度、埋深和锚间距等参数因素对群锚效应具有显著影响。通过变形场的研究,得出了砂土密实度、埋深以及锚间距对群锚效应的影响规律。     

土壤质量评价国外研究进展

土壤是人类赖以生存的根本资源。土壤质量涉及到动植物生产力,大气、水的质量和人类的健康,随着人们对自然资源和环境保护意识的增强,越来越多的国家和地区已将土壤质量评价工作作为实现可持续发展的一个重要方面。通过土壤质量评价,了解土壤管理和利用的现状,为土壤质量的改善及可持续利用提供理论依据和技术支撑。根据国外近10年的研究,总结了主要的评价指标体系和评价方法。评价指标主要包括土壤物理、化学和生物性质3个方面的指标。评价方法分为定性和定量评价,定量评价应用较广,包括土壤质量指数、土壤质量模型、多元线性回归、相对土壤质量法等。掌握和了解国外相关研究的动态,对于开展土地质量地球化学评估及土地的分等定级工作有着重要的意义。     

Identification of diffusion parameters in a nonlinear convection–diffusion equation using the augmented Lagrangian method

Numerical identification of diffusion parameters in a nonlinear convection–diffusion equation is studied. This partial differential equation arises as the saturation equation in the fractional flow formulation of the two-phase porous media flow equations. The forward problem is discretized with the finite difference method, and the identification problem is formulated as a constrained minimization problem. We utilize the augmented Lagrangian method and transform the minimization problem into a coupled system of nonlinear algebraic equations, which is solved efficiently with the nonlinear conjugate gradient method. Numerical experiments are presented and discussed. This work was partially supported by the Research Council of Norway (NFR), under grant 128224/431.     

Assessment of three temperature reconstruction methods in the virtual reality of a climate simulation

The performance of statistical climate reconstruction methods in the pre-instrumental period is uncertain, as they are calibrated in a short instrumental period but applied to much longer reconstructions time spans. Here, the virtual reality created by a climate simulation of the past millennium with the model ECHO-G is used as a test bed of three methods to reconstruct the annual Northern Hemisphere temperature. The methods are Composite plus Scaling, the inverse regression method of Mann et al. (Nature 392:779–787, 1998) and a direct principal-components regression method. The testing methodology is based on the construction of pseudo-proxies derived from the climate model output, the application of each of these methods to pseudo-proxy timeseries, and the comparison of their result with the simulated mean temperature. Different structures of the noise have been used to construct pseudo-proxies, ranging from the simulated grid-point precipitation. Also, one sparse and one denser pseudo-proxy network, co-located with two real networks, have been considered. All three methods underestimate the simulated variations of the Northern Hemisphere temperature, but the Composite plus Scaling method clearly displays a better performance and is robust against the different noise models and network size. The most relevant factor determining the skill of the reconstruction appears to be the network size, whereas the different noise models tend to yield similar results.     

空间数据库系统的数据模型、存储方法及实现策略

空间数据库在天文、地理信息、城市规划等领域有广泛的应用,是目前研究的热点之一.详细介绍了空间数据库的数据模型、空间数据的操作、空间数据库上的查询及查询语言、空间数据库的存储方法,最后给出实现空间数据库的几个策略.     

“Doing” Critical Geographies with Numbers

Criticisms of quantitative geography have a long history in our discipline. Since the emergence of early Marxist geography, the advent of new theoretical traditions has been accompanied by sustained and sometimes vigorous critiques of spatial analysis. In this introductory article to the second focus section on critical quantitative geographies, we discuss the accuracy of some of the criticisms about the use(s) to which spatial analysis is put and about the philosophical presumptions underpinning quantitative geographies. We argue that spatial analysis and critical geographies should not be considered mutually exclusive of one another—although this does not mean that numbers and critical geographies are entirely comfortable with one another. We suggest that critical geographies cannot dispense with numbers and visualizations based on numerical information. We hope that the articles collected here will inspire geographers to engage with numbers and statistics to challenge inequality and imagine alternative futures.