地震危险综合评判的分量分析方法

地震危险性评判，通常需要将多种方法的结果加以综合。为了去除各种方法中可能的重复信息，并对各种方法对危险性评判结论的重要程度进行合理的度量，使综合的结果更加合理，我们引入了分量分析方法。本文首先介绍了分量分析方法的基本原理，其次阐述了该方法在地震危险性综合评判中的应用，最后给出了华北北部中长期地震危险性预测的一个计算实例。     

满城冰雹云类型与特征分析

根据探空、雷达观测以及降雹资料，对河北满城地区１９８６－１９９０年６４次降雹天气过程进行了分析，对冰雹云类型作了分类研究。结果表明，该地区冰雹云分为５种类型：强单体、点源雹云、传播雹云、多单体及弱单体雹云。５年的统计资料得出，满城地区以多单体、弱单体雹云为最多，强单体雹云和传播雹云是该地区主要成灾雹云。     

太阳的空间观测与研究Ι—太阳电磁波 辐射的观测与研究概况

太阳空间观测为揭示太阳新的观测现象与研究开拓了新的途径。空间观测具有全波段、全时段、全方位以及无大气抖动和大气散射光等观测优点。本文着重探讨了太阳空间长波射电观测、Ｘ射线观测、紫外线观测的成就与研究结果。这些波段（包括光学）的爆发均起因于太阳大气中被加速的荷能电子与太阳等离子体、磁场相互作用而产生的电磁辐射,其能量约占太阳耀斑总量的１／４,即１０２５Ｊ。     

基于ZigBee协议地面气象观测原型站无线传输系统设计

为满足地面气象自动化实时监测需求,适应气象观测向集约化、标准化和智能化的方向发展,中国气象局气象探测中心在北京观象台建设了代表未来地面气象观测自动化发展的业务原型站,设计了基于ZigBee无线传输系统。该系统采用当今成熟稳定的电子测量、数据传输和控制技术,具有高可靠性、高准确性、易维护、易扩展等特点,支持地面气象数据对象字典协议格式,地面自动观测数据实时数据通过ZigBee无线传输模块发送到ZigBee协调器,地面综合观测业务软件(ISOS)通过综合集成硬件控制器完成观测数据采集,从而实现地面自动观测数据的质控和应用。     

ISUAL探测器在青藏高原南麓地区对于红色精灵现象的观测分析

本文利用福卫二号卫星（FORMOSAT-2）搭载的高空大气闪电影像仪（Imager of Sprites and Upper Atmospheric Lightnings, ISUAL）于2004～2015年期间获得的数据，分析了青藏高原南麓地区（22°～30°N, 86°～98°E）观测到的多例红色精灵事件。通过与全球闪电定位网（World Wide Lightning Location Network，WWLLN）的观测资料进行对比，在分析了17次个例后发现对于大部分红色精灵事件，ISUAL给出的定位效果较好，与WWLLN的闪电定位结果偏差一般小于50 km，这与在北美及其邻近地区得到的结果一致。在此基础上，我们结合风云二号卫星的云顶亮温数据分析了青藏高原南麓地区红色精灵的母体雷暴特征，发现在青藏高原南麓地区除了中尺度对流系统外，小尺度对流系统也是这个地区产生红色精灵的主要天气系统。     

Error analysis of exterior orientation elements on geolocation for a Moon-based Earth observation optical sensor

ABSTRACT

The Moon is a potential new platform for Earth observation. The advantages of its large-scale observational scope, long temporal duration, and multi-layer detecting of the Earth will undoubtedly advance our understanding of the Earth system. To carry out the observations from a Moon-based optical sensor, the geolocation error caused by exterior orientation elements need to be investigated. This paper analyses the error effects of exterior orientation elements on geolocation for an optical sensor. To estimate the error, we present a geometric image model and utilise some parameters to measure the image offsets. Through a large number of numerical simulations, the results demonstrate that the image offsets are not obvious influenced by the distance and observation angle at mid-high latitude of the Moon and have linear correlation with the increasing errors of the exterior orientation elements. Further, the relationship between the spatial resolution and errors of exterior orientation elements are revealed. Finally, the error characteristics for Moon-based Earth observation are discussed. It is expected that the conclusion drawn in this paper could support the study of a Moon-based Earth observation optical sensor.     

Digital world meets urban planet – new prospects for evidence-based urban studies arising from joint exploitation of big earth data,information technology and shared knowledge

ABSTRACT

The digital transformation taking place in all areas of life has led to a massive increase in digital data – in particular, related to the places where and the ways how we live. To facilitate an exploration of the new opportunities arising from this development the Urban Thematic Exploitation Platform (U-TEP) has been set-up. This enabling instrument represents a virtual environment that combines open access to multi-source data repositories with dedicated data processing, analysis and visualisation functionalities. Moreover, it includes mechanisms for the development and sharing of technology and knowledge. After an introduction of the underlying methodical concept, this paper introduces four selected use cases that were carried out on the basis of U-TEP: two technology-driven applications implemented by users from the remote sensing and software engineering community (generation of cloud-free mosaics, processing of drone data) and two examples related to concrete use scenarios defined by planners and decision makers (data analytics related to global urbanization, monitoring of regional land-use dynamics). The experiences from U-TEP’s pre-operations phase show that the system can effectively support the derivation of new data, facts and empirical evidence that helps scientists and decision-makers to implement improved strategies for sustainable urban development.     

GEOEssential – mainstreaming workflows from data sources to environment policy indicators with essential variables

ABSTRACT

When defining indicators on the environment, the use of existing initiatives should be a priority rather than redefining indicators each time. From an Information, Communication and Technology perspective, data interoperability and standardization are critical to improve data access and exchange as promoted by the Group on Earth Observations. GEOEssential is following an end-user driven approach by defining Essential Variables (EVs), as an intermediate value between environmental policy indicators and their appropriate data sources. From international to local scales, environmental policies and indicators are increasingly percolating down from the global to the local agendas. The scientific business processes for the generation of EVs and related indicators can be formalized in workflows specifying the necessary logical steps. To this aim, GEOEssential is developing a Virtual Laboratory the main objective of which is to instantiate conceptual workflows, which are stored in a dedicated knowledge base, generating executable workflows. To interpret and present the relevant outputs/results carried out by the different thematic workflows considered in GEOEssential (i.e. biodiversity, ecosystems, extractives, night light, and food-water-energy nexus), a Dashboard is built as a visual front-end. This is a valuable instrument to track progresses towards environmental policies.     

沙漠蝗群对印巴边境植被的影响及其未来可能发展趋势

2020年初非洲东北和印巴边境沙漠蝗群席卷多个国家,大面积农田及自然植被被啃食,是什么气候条件促成了此次沙漠蝗灾?距离中国最近的印巴边境蝗群成为研究以及社会关注的热点,蝗灾对当地植被的影响如何?其发展趋势如何?从气候学上分析,蝗灾历史上是否曾经或者未来是否向印度东边迁飞而进入中国呢?本研究利用长时间序列的卫星遥感数据和气象气候观测数据,对沙漠蝗群可能扩展趋势进行了分析。研究结果表明:(1)由于沙漠蝗群的啃食,2020年1月和2月,在蝗群分布区大面积植被区的归一化植被指数较常年大幅度下降,2月(2月3日数据)的啃食面积较1月明显扩大;(2)发生在2018年5月和10月两次印度洋飓风和2019年12月强热带风暴等几个罕见气旋给非洲和阿拉伯半岛带来的强降水,是本次非洲-西亚蝗灾的形成重要原因;(3)从影响沙漠蝗群起飞的气温和沙漠蝗虫适合的降水条件来看,历史上或未来沙漠蝗群迁徙到印度东边的机会很少,进入中国的可能性非常小。     

九寨沟M_s7.0地震前地应变LURR异常演化特征

从岩石应力-应变的本构关系出发,以能够反映岩石应变变化的地应变观测数据作为"响应量",通过库伦应力触发模型的加卸载响应比计算方法,计算2017年8月8日九寨沟M_S7.0地震前震中及周边500km范围内应变观测的加卸载响应比结果。结果显示,基于应变观测的加卸载响应比方法能够较好地从潮汐频段提取地震前LURR异常,九寨沟地震前,300km范围内的多个应变观测台站出现LURR异常,其中相距96km的两水台EW分量Y值最大达到3.27;LURR空间演化特征显示,在震前约9个月内震中及周边地区陆续出现异常"集中—增强—减弱"过程,证明该地区在长期应力累积的背景下,应力的不断累积增强导致震中及附近区域的岩石出现不断损伤或弱化,最终位于树正断裂上的应变能积累超过了介质强度而引发了此次地震。