区县级多源异构空间数据共享平台研究及应用

针对区县级空间数据凌乱、共享程度低、应用效率不高等现状,充分考虑区县级政府部门对多源异构地理空间数据资源共建共享的需求,基于Web Service和ArcGIS Server技术,构建了包含数据管理、运维管理、共享交换、公共服务等四大子系统为核心的多源异构空间数据共享服务平台框架,并在佛山市顺德区成功应用,实现了区县级多源异构空间数据的集成与共享。     

城市级地理信息共享服务平台建设——以哈尔滨为例

以哈尔滨市为例,探讨如何建立城市级空间数据共享和地理信息服务中心,从地理空间信息资源中心和空间数据共享与服务两个方面来阐述在进行地理信息共享服务平台建设时要着力解决的一些关键问题,力求建立完善的地理空间信息共享与服务体系。为城市级的地理信息行业应用和公众应用提供完整、统一的解决方案。     

基于．NET平台实现专题地图绘制

专题地图通过将一种或多种与主题相关的要素突出显示,不仅可以表现对象的现状和分布,也可以揭示其动态变化和发展规律。文章以墨西哥各州人口的专题地图绘制为例,运用C#语言,在．NET平台下实现地理学上的专题地图绘制。     

关于数字城市地理空间框架建设的研究

随着我国城市化进程的发展,城市规模不断扩大,传统的城市管理方法远远不能满足现代城市管理的要求。随着＂数字中国＂战略的提出,＂数字城市＂应运而生。当前以＂数字城市＂为标志的城市信息化建设正在全国范围内迅速开展,网络基础设施和空间信息基础设施是数字城市建设中两个最为重要的基础设施,而地理空间框架是空间信息基础设施的重要组成部分,是经济社会信息化发展的基础支撑平台。     

警用电子地图基础平台的设计与研究

警用电子地图基础平台是利用空间地理信息技术,以电子地图为基础,以公安宽带网络为依托,实现公安基础信息基于空间电子地图的可视化查询和分析,为公安业务提供行之有效的管理手段。     

地面数字化测图模拟与仿真平台的三维可视化

介绍地面数字化测图模拟与仿真平台三维建模的基本思想,给出了地面数字化测图模拟与仿真平台三维建模过程和建模中相关问题的解决办法,达到了平台在GIS软件中多方位的动态三维可视化效果。     

华北地块北缘金矿预测

对华北地块北缘的金矿进行了成因分类,共分为3大类7亚类.利用地质体单元法对3大金矿类型进行了单元划分,共划分出214个单元.在综合信息成矿理论的指导下,对本区的岩浆重熔热液型金矿、岩浆同熔热液型金矿床以及火山-次火山热液型金矿床分别采用特征分析,对矿产资源的产出位置进行了估计,采用成矿概率估计对各单元的成矿可能性进行分级,共预测出24个最有远景的工作区.     

The seagrass skeletal assemblage from modern to fossil and from tropical to temperate: Insight from Maldivian and Mediterranean examples

Seagrasses are marine angiosperms that form extensive submarine meadows in the photic zone where carbonate producing biota dwell as epiphytes on the leaves or as infaunal forms, and act as prolific carbonate sediment factories. Because seagrasses have a low preservation potential and records of exceptionally well‐preserved and plant material from marine settings are rare, these palaeoenvironments are difficult to identify in the rock record. Consequently, sedimentological and palaeontological proxies are the main indicators of the presence of seagrass‐dominated ecosystems. This work investigates the skeletal assemblage of Modern (Maldivian and western Mediterranean) and fossil (Eocene; Apula and Oman carbonate platforms and Oligocene; Malta platform) seagrass examples to characterize the skeletal assemblage of modern and fossil seagrasses. Two main types of grains, calcareous algae and foraminifera, constitute around 50% of the bioclastic sediment in both tropical Maldivian and temperate Mediterranean scenarios. However, in the tropical setting they are represented by green algae (Halimeda), while in the Mediterranean they are represented by corallinacean red algae. In contrast, in the Eocene examples, the foraminifera are the most conspicuous group and the green algae are also abundant. The opposite occurs in the Maltese Chattian, which is dominated by coralline algae (mean 42%), although the foraminifera are still abundant. It is suggested to use the term foralgal to identify the seagrass skeletal assemblage. To discriminate between red algae and green algae dominance, the introduction of the prefixes ‘GA’ (green algae) and ‘RA’ (red algae) is proposed. The investigated examples provide evidence that the green algae–foralgal assemblage is typical of tropical, not excessively dense seagrass meadows, characterized by a well‐illuminated substrate to support the development and calcification of the Halimeda thallus. Contrarily, the red algae‐foralgal assemblage is typical of high density tropical to subtropical seagrass meadows which create very dense oligophotic conditions on the sea floor or in temperate settings where Halimeda cannot calcify.     

扬子地台西南缘朱家坝辉绿岩地球化学特征及其地质意义

近年来在扬子西缘大量的早—中元古代岩浆岩证据显示扬子地台内形成的断陷盆地及早中元古代岩浆岩与全球性的Columbia超大陆裂解事件有着密不可分的联系。这种联系主要表现在区内早中元古代的岩浆岩地球化学特征上。为了探讨武定裂陷槽朱家坝辉绿岩的地球化学特征及其意义,以12块朱家坝辉绿岩的地球化学分析数据为基础,在分析了其主微量和稀土元素的特征之后发现朱家坝辉绿岩w(SiO_2)为44.16%～48.08%,w(K_2O+Na_2O)为3.54%～4.26%,在化学成分上属于钙碱性岩石;其稀土元素的总量为183.1×10^-6～206.91×10^-6,LREE/HREE=1.44～1.96,表明在其形成过程中发生了明显的地壳混然或者是岩浆分异作用,其化学成分基本可以反映出岩浆源区的化学组成特征。基于此,对朱家坝辉绿岩进行了源区性质、构造环境和可能的成因机制探讨,认为朱家坝辉绿岩形成于拉张环境之中,很有可能是在昆阳裂谷形成初期形成,其岩浆来源于较富集的地幔源区,形成过程中几乎没有地壳物质参与。     

System Reliability Analysis of an Offshore Jacket Platform

This study investigates strategies for solving the system reliability of large three-dimensional jacket structures.These structural systems normally fail as a result of a series of different components failures.The failure characteristics are investigated under various environmental conditions and direction combinations.Theβ-unzipping technique is adopted to determine critical failure components,and the entire system is simplified as a series-parallel system to approximately evaluate the structural system reliability.However,this approach needs excessive computational effort for searching failure components and failure paths.Based on a trained artificial neural network(ANN),which can be used to approximate the implicit limit-state function of a complicated structure,a new alternative procedure is proposed to improve the efficiency of the system reliability analysis method.The failure probability is calculated through Monte Carlo simulation(MCS)with Latin hypercube sampling(LHS).The features and applicability of the above procedure are discussed and compared using an example jacket platform located in Chengdao Oilfield,Bohai Sea,China.This study provides a reference for the evaluation of the system reliability of jacket structures.