Creep degradation mechanism by water-rock interaction in the red-layer soft rock

Bank slope stability has become a great concern, while the impoundment of Three Gorges reservoir. The bank slope composed of red-layer soft rock has exhibited distinct deformation and failure. Therefore, a typical red-layer soft rock around Three Gorges reservoir area was selected to demonstrate the process of cyclic changes at the reservoir level and immersion-air-dry cyclic action of water-rock inside hydro-fluctuation belt. To meet the objective of this study, a series of creep tests were conducted on the rock specimens at different water-rock interaction stages. The following points were noticed based on the laboratory results: (1) the creep fracture strength and long-term strength of red-layer soft rock degraded significantly during the process of water-rock interaction. For the first three water-rock interaction circulations, the strength of red-layer soft rock degraded quickly and then gradually became stable. (2) During the creep test, the lateral expansion of red-layer soft rock increased significantly regarding to the number of cycles. (3) The creep curve includes three typical stages at failure stress level—primary (damped) stage, secondary (steady-state) stage, and tertiary (nonlinear accelerated) stage. As the number of cycles increased, the percentage of secondary stage diminished gradually. However, the tertiary stage showed a gradual increment, since the plasticity of the specimens was strengthened by water-rock interaction. (4) The shear failure characteristics of the specimens became highly considerable during the process of water-rock interaction, and there have been a gradual increment of shear rupture zone. (5) The SEM results showed that the specimen microstructure changed its state from dense to loose and porous. The findings of this research provide a good basis for long-term stability analysis of bank slope.     

Characterization and identification of enzyme-producing microflora isolated from the gut of sea cucumber <Emphasis Type="Italic">Apostichopus japonicus</Emphasis>

Gut microorganisms play an important role in the digestion of their host animals. The purpose of this research was to isolate and assess the enzyme-producing microbes from the Apostichopus japonicus gut. Thirty-nine strains that can produce at least one of the three digestive enzymes (protease, amylase, and cellulase) were qualitatively screened based on their extracellular enzyme-producing abilities. The enzyme-producing strains clustered into eight groups at the genetic similarity level of 100% by analyzing the restriction patterns of 16S rDNA amplified with Mbo I. Phylogenetic analysis revealed that 37 strains belonged to the genus Bacillus and two were members of the genus Virgibacillus. Enzyme-producing capability results indicate that the main enzyme-producing microflora in the A. japonicus gut was Bacillus, which can produce protease, amylase, and cellulase. Virgibacillus, however, can only produce protease. The high enzyme-producing capability of the isolates suggests that the gut microbiota play an important role in the sea cucumber digestive process.     

Latent spatio-temporal activity structures: a new approach to inferring intra-urban functional regions via social media check-in data

Abstract

This article introduces a novel low rank approximation (LRA)-based model to detect the functional regions with the data from about 15 million social media check-in records during a year-long period in Shanghai, China. We identified a series of latent structures, named latent spatio-temporal activity structures. While interpreting these structures, we can obtain a series of underlying associations between the spatial and temporal activity patterns. Moreover, we can not only reproduce the observed data with a lower dimensional representative, but also project spatio-temporal activity patterns in the same coordinate system. With the K-means clustering algorithm, five significant types of clusters that are directly annotated with a combination of temporal activities can be obtained, providing a clear picture of the correlation between the groups of regions and different activities at different times during a day. Besides the commercial and transportation dominant areas, we also detected two kinds of residential areas, the developed residential areas and the developing residential areas. We further interpret the spatial distribution of these clusters using urban form analytics. The results are highly consistent with the government planning in the same periods, indicating that our model is applicable to infer the functional regions from social media check-in data and can benefit a wide range of fields, such as urban planning, public services, and location-based recommender systems.     

Challenges and complications in neighborhood mapping: from neighborhood concept to operationalization

This paper examines complications in neighborhood mapping and corresponding challenges for the GIS community, taking both a conceptual and a methodological perspective. It focuses on the social and spatial dimensions of the neighborhood concept and highlights their relationship in neighborhood mapping. Following a brief summary of neighborhood definitions, five interwoven factors are identified to be origins of neighborhood mapping difficulties: conceptual vagueness, uncertainty of various sources, GIS representation, scale, and neighborhood homogeneity or continuity. Existing neighborhood mapping methods are grouped into six categories to be assessed: perception based, physically based, inference based, preexisting, aggregated, and automated. Mapping practices in various neighborhood-related disciplines and applications are cited as examples to demonstrate how the methods work, as well as how they should be evaluated. A few mapping strategies for the improvement of neighborhood mapping are prescribed from a GIS perspective: documenting simplifications employed in the mapping procedure, addressing uncertainty sources, developing new data solutions, and integrating complementary mapping methods. Incorporation of high-resolution data and introduction of more GIS ideas and methods (such as fuzzy logic) are identified to be future opportunities.     

基于多源信息融合理论的盐湖资源综合动态监测及预警系统设计与实现

近年来随着人类开采力度的不断加大和全球气候变化的影响,盐湖资源系统正在发生着急剧变化,盐湖生产对环境的影响也日渐突出。将多源信息融合理论与动态综合监测理论相结合,基于GIS、物联网和无线通讯技术,从相互关联的环境、资源和产业多个子系统中选取关键监测指标,从构建理论、构建原则、技术体系和系统结构等方面对构建盐湖资源综合监测系统进行全面设计;并结合青海吉乃尔盐湖区具体实际,在监测站网的最优化布局、传感器选型、数据传输方案和多源数据整合方面开展深入探讨;最后对水灾、环境、生产等预警模型的预警层次和预警模式提出具体实现路径。对保障盐湖产业可持续发展与生产安全,保证西部国民经济、社会和谐发展具有重要意义。     

中国流动人口的省际迁移模式、集疏格局与市民化路径

系统回顾了中国流动人口的省际变动与集疏格局,包括总体特征与演化趋势,基于迁出地和迁入地属性差异的省际流动人口模式以及基于城市规模的流动人口分布特征,采用趋势分析和马尔科夫链方法预测了中国省际流动人口的空间迁移趋势,由此提出了中国流动人口的市民化路径与建议如下：① 人口的跨区域流动重塑着中国的人口空间格局,东部地区应审慎而稳妥地推进市民化;②积极稳妥地推进中西部地区的城镇化进程,重点推进省内流动人口的就近市民化;③ 不同地区要制定不同的政策,因地制宜地推进市民化进程。     

太湖平原区河网结构变化对调蓄能力的影响

城镇化快速发展导致河网水系萎缩,连通性受阻,河网调蓄能力降低,加大了区域洪灾风险和洪涝损失.基于1960s,1980s,2010s的1:5万地形图水系及三个控制站的水位数据,选取河网密度(R_d),水面率(W_P),盒维数(D),水位Hurst指数(H),分析了近50年来太湖流域武澄锡虞地区的水系演变与河网调蓄能力变化;并借助代表性单元流域概念,以水位Hurst指数来表征河网调蓄能力,从河网调蓄的物理机理出发,探讨了河网调蓄与河网结构参数的关系.结果表明:① 受快速城镇化影响,1960s-2010s武澄锡虞地区河网密度,水面率及盒维数分别下降了18.87%,24.59%,7.60%,且1980s至2010s各水系指标的衰减率均高于1960s-1980s;② 1960-2010年,研究区年均及汛期的水位Hurst指数呈下降趋势,其所反映的河网调蓄能力与该地区河网水系各指标变化同步,这表明城镇化引起的河流水系衰减导致河网调蓄能力发生明显下降,非汛期水位Hurst指数先增加后降低,表现出一定的不确定性;③ 基于REW概念与水位Hurst指数值,初步构建了河网结构参数与调蓄能力的关系式,并对关系式进行了验证,基本可行,可在一定程度上揭示城镇化下水系变化对河网调蓄能力的影响,从而为评价平原水网区河网调蓄能力提供了一种相对简便的方法.     

智能移动端等值线实时绘制技术及其应用

利用C#开发语言结合WebService,提供了一套智能移动端的等值线实时绘制技术方案。方案采用了等值线算法实时分析气象网格数据,通过二进制编码压缩技术对等值线分析结果进行编码压缩,生成二进制等值线数据。移动端通过调用WebService接口实时下载解析二进制等值线数据,结合WebGIS的API函数实时绘制等值线色斑图。应用结果表明,所讨论的方案避免了传统图片显示方式带来的图片模糊不清、失真等问题,更加精细的展示气象要素数值。     

基于CIMISS的区域灾害性天气实时监测与报警系统的设计与实现

基于CIMISS提供的统一数据环境,结合当前气象防灾减灾服务需求,设计出一个集约化的全自动气象灾害监测报警系统,能够直接向各类用户个人提供定制化的实时灾害性天气信息服务,并使用户能够随时随地通过移动设备或台式电脑了解灾害性天气的发生和发展详细情况。本文从系统功能结构、信息收集与处理流程、灾害性天气报警时机判断及实况信息生成算法等方面,对该系统的设计内容及其实现方式进行了介绍。