FUTURE CHANGE OF PRECIPITATION EXTREMES OVER THE PEARL RIVER BASIN FROM REGIONAL CLIMATE MODELS

Based on RegCM4, a climate model system, we simulated the distribution of the present climate (1961-1990) and the future climate (2010-2099), under emission scenarios of RCPs over the whole Pearl River Basin. From the climate parameters, a set of mean precipitation, wet day frequency, and mean wet day intensity and several precipitation percentiles are used to assess the expected changes in daily precipitation characteristics for the 21st century. Meanwhile the return values of precipitation intensity with an average return of 5, 10, 20, and 50 years are also used to assess the expected changes in precipitation extremes events in this study. The structure of the change across the precipitation distribution is very coherent between RCP4.5 and RCP8.5. The annual, spring and winter average precipitation decreases while the summer and autumn average precipitation increases. The basic diagnostics of precipitation show that the frequency of precipitation is projected to decrease but the intensity is projected to increase. The wet day percentiles (q90 and q95) also increase, indicating that precipitation extremes intensity will increase in the future. Meanwhile, the 5-year return value tends to increase by 30%-45% in the basins of Liujiang River, Red Water River, Guihe River and Pearl River Delta region, where the 5-year return value of future climate corresponds to the 8- to 10-year return value of the present climate, and the 50-year return value corresponds to the 100-year return value of the present climate over the Pearl River Delta region in the 2080s under RCP8.5, which indicates that the warming environment will give rise to changes in the intensity and frequency of extreme precipitation events.     

3S技术在突发地质灾害应急管理中的应用

针对传统灾害应急管理中存在重灾后应急处置、轻灾前应急管理的问题,提出了一种基于3S技术的突发地质灾害应急管理方法。将3S技术与突发地质灾害应急管理过程进行了深度融合,深入分析了3S技术在突发地质灾害应急管理中的作用,主要包括突发地质灾害时空数据获取与管理、空间信息二三维可视化表达、应急监测与评估、空间分析等方面。并在此基础上,基于MapGIS K9平台设计并实现了突发地质灾害应急管理原型系统,为突发地质灾害应急信息化相关应用系统提供原型支撑。     

Lead,Sulfur, and Oxygen Isotope Systematics in Hydrothermal Precipitates from the 14°S Hydrothermal Field,South Mid‐Atlantic Ridge

At the inside corner between the South Mid‐Atlantic Ridge (SMAR) and the Cardno fracture zone, the 14°S hydrothermal field, with its abundant silica‐rich sulfides, was identified as a volcanic massif, which provided the first opportunity to study inside corner‐related hydrothermal mineralization. S, Pb, and O isotopes were measured in hydrothermal sulfide samples from the two sites (volcanic top and slope sites) in the 14°S field. The homogeneous Pb isotope values (²⁰⁷Pb/²⁰⁴Pb = 15.466 ? 15.472; ²⁰⁶Pb/²⁰⁴Pb = 18.242 ? 18.252) and the δ³⁴S values (top site, +6.3 to +6.85‰; slope site, +2.37 to +3.36‰) suggest that the source of metals and most of the sulfur is the upper crust, whereas some sulfur is sourced from downward‐penetrating seawater, especially in the top site. The calculated oxygen isotope equilibration temperatures from quartz and seawater are between 94 and 144°C for the top site and between 179 and 196°C for the slope site. These isotopic proxies, together with geological background survey data, have an important implication: Discrepancies between the sites may result from variations in crust permeability, which also affect the mixing level between downward‐penetrating seawater and upward hydrothermal end‐member fluids and determine the various mineralization types.     

基于3S技术的甘肃省农田水利信息管理平台建设构想

水利是农业的命脉。农田水利建设项目量大面广、小型分散,工作任务艰巨、责任重大。传统的管理模式和工作方式制约着农田水利事业的健康发展。为进一步规范农田水利的规划、建设、运行和管理,实现"建管并重"的双重目标,本文结合2016年颁布的《农田水利条例》,立足甘肃省水利水务建设实际,以需求为导向,密切联系业务应用,构建了基于3S技术的甘肃省农田水利信息管理平台整体框架和体系组成,详细阐述了系统建设的特点及功能,以期提高水利工程建设管护水平,让工程设施真正建得起、管得好、长受益。     

利用资源三号测绘卫星影像实现多尺度4D产品更新

4D产品的快速生产与更新一直以来是测绘地理信息部门研究的重点,采用传统航摄技术生产和更新无图区或陈旧的地理信息资料时,生产困难,成本高,周期长,且消耗大量的人力和物力。针对这些问题,本文采用资源三号测绘卫星影像实现4D产品更新,使得更新速度加快,为多尺度4D产品的生产与更新提供了高效可靠的技术手段。     

S3M三维数据标准设计研究

随着Web 3 D技术和大数据的发展,三维模型在Web端的传输和可视化成为迫切需求.面对Web端大数据实时传输这一挑战,超图三维团队在多年技术积累下,对倾斜摄影模型、3 DMax建模、BIM、矢量、三维管线以及单体化、实例化等内容进行整合,最终形成了海量三维数据规范——S3 M(SuperMap 3 D Model).通过这种高效、易扩展、可协作的数据规范,解决了三维数据传输和解析延迟问题,并通过WebGL支持硬件加速的可视化渲染技术,兼容多终端(移动、浏览器、桌面)的跨平台特性,最大限度地满足了用户需求.     

Free and open source software for geospatial applications (FOSS4G) to support Future Earth

ABSTRACT

The development, integration, and distribution of the information and spatial data infrastructure (i.e. Digital Earth; DE) necessary to support the vision and goals of Future Earth (FE) will occur in a distributed fashion, in very diverse technological, institutional, socio-cultural, and economic contexts around the world. This complex context and ambitious goals require bringing to bear not only the best minds, but also the best science and technologies available. Free and Open Source Software for Geospatial Applications (FOSS4G) offers mature, capable and reliable software to contribute to the creation of this infrastructure. In this paper we point to a selected set of some of the most mature and reliable FOSS4G solutions that can be used to develop the functionality required as part of DE and FE. We provide examples of large-scale, sophisticated, mission-critical applications of each software to illustrate their power and capabilities in systems where they perform roles or functionality similar to the ones they could perform as part of DE and FE. We provide information and resources to assist the readers in carrying out their own assessments to select the best FOSS4G solutions for their particular contexts and system development needs.     

中国气象局S2S数据归档中心设计及关键技术

中国气象局S2S（Sub-seasonal to Seasonal）数据归档中心建设是中国气象局承担世界气象组织（WMO）的世界天气研究计划（WWRP）和世界气候研究计划（WCRP）任务,由国家气象信息中心负责设计和实现。该文介绍了S2S数据归档中心建设中涉及的数据交换、数据检查及处理、数据归档存储及数据服务门户全流程系统设计和实现。针对各业务中心生产的S2S数据配置差异较大造成数据交换、同步较难这一问题,采用基于FTP（file transfer protocol）的数据推送和基于ECMWF（European Center for Medium-range Weather Forecasts）WebAPI主动数据下载相结合的方式,说明数据交换、同步方法和策略。由于S2S数据量巨大难以高效管理服务,已设计统一的数据组织形式和存储规则,实现根据数据检索条件解析获取数据存储位置,提供便捷的数据检索下载服务。自2015年11月15日中国气象局S2S数据门户系统对外开放,目前数据门户系统已有超过18个国家的300个用户注册并下载数据。     

3S技术下滑坡危险性区划及监测

针对传统知识驱动型滑坡灾害研究多依赖专业人员经验,具有主观性和不确定性的问题,该文提出了基于数据驱动滑坡致灾因子评价及危险性区划的方法。采用证据权模型,较好地平衡了滑坡危险性区划中准确性与高效性之间的矛盾,实现了较为精确的滑坡易发性及危险性区划;利用感知层、网络层、应用层的物联网技术,实现了高危险区滑坡点在线预警监测。3S技术支持下的滑坡危险性区划及监测实验结果表明:所用模型及监测技术不仅可以准确评价滑坡致灾因子权重及危险性区划,还能够精准、高效实现滑坡点实时监控预警。