全国资源与生态环境遥感监测数据管理与应用服务系统设计

为推动资源与生态环境遥感监测数据的应用与服务,为国家、相关行业管理决策和社会公众提供有价值的信息,需要在资源与生态环境遥感监测成果数据基础上,开发数据管理与应用服务系统。本文从国家资源与生态环境建设的实际需求出发,结合国土资源部实施的环北京地区资源与生态环境遥感监测成果,探讨资源与生态环境遥感监测数据管理与应用服务的技术解决方案,搭建资源与生态环境遥感监测数据管理与应用服务技术平台,并实现网络环境下对资源与生态环境监测形成的各种类型数据的集成化管理。     

FORMOSAT-3/COSMIC science mission update

The FORMOSAT-3/COSMIC mission is a microsatellite mission for weather forecast, climate monitoring, and atmospheric, ionospheric and geodesy research. This mission is a collaborative Taiwan-USA science experiment to deploy a constellation of six microsatellites in low Earth orbits. The mission life is 2 years with a goal of 5 years. The final mission orbit has an altitude of 750–800 km. Each satellite consists of three science payloads: global positioning system (GPS) occultation experiment (GOX) payload, tiny ionospheric photometer (TIP) and tri-band beacon (TBB). The GOX will collect the GPS signals for the study on atmosphere, ionosphere, and geodesy. The TIP and TBB can provide the electron distribution information for ionospheric research. The deployment of the FORMOSAT-3 constellation and the resulting influence on the occultation sounding distributions are reported. Details are also given on GOX, TIP, and TBB payload operations and the contributions of the Taiwan Science Team.     

山东省移动气象台通信网络系统

本文主要介绍移动气象台中的通信网络系统,包括网络的整体结构,各部分的功能与实现方式,及各种网络设备的软硬件配置等.     

三江平原沼泽形成及现状

1沼泽的概念 沼泽与世间一切事物一样都有其形成与演化，发生与发展的过程，沼泽的形成过程受制于它的环境条件一自然地理条件，人类活动亦对某些沼泽形成具有一定影响。尽管沼泽形成、发育过程是漫长的，却是永无止息的。沼泽是发展、变化的。     

雨量器(计)安装不水平造成的测量误差分析及对策

降水量是气象台站重要观测项目之一。目前，大部分基层台站用于降水量观测的仪器主要靠雨量器、翻斗式遥测雨量计和虹吸式雨量计３种。《地面气象观测规范》规定：雨量器在安装和使用过程中都必须水平，以保证所测降水数据的准确性。但在实际工作中，由于各种原因往往会使器口倾斜。尤其是雨量器结构粗糙且每次观测都要取下承水器，稍不注意就会发生倾斜。那么雨量仪器安装不水平对测量水有何影响呢？大部分观测员都认为会比实际雨量偏小，其实不尽然。本文试图通过对不同降水情况下的误差进行分析，同时提供一些消除误差的方法供参考。为了…     

Fuzzy neural network models for liquefaction prediction

Integrated fuzzy neural network models are developed for the assessment of liquefaction potential of a site. The models are trained with large databases of liquefaction case histories. A two-stage training algorithm is used to develop a fuzzy neural network model. In the preliminary training stage, the training case histories are used to determine initial network parameters. In the final training stage, the training case histories are processed one by one to develop membership functions for the network parameters. During the testing phase, input variables are described in linguistic terms such as ‘high’ and ‘low’. The prediction is made in terms of a liquefaction index representing the degree of liquefaction described in fuzzy terms such as ‘highly likely’, ‘likely’, or ‘unlikely’. The results from the model are compared with actual field observations and misclassified cases are identified. The models are found to have good predictive ability and are expected to be very useful for a preliminary evaluation of liquefaction potential of a site for which the input parameters are not well defined.     

当前我国地震预报面临的主要科学问题及其建议

论述了我国目前在长期、中期和短临预报中所面临的主要科学问题，提出了从哪些方面进行突破的建议。     

粘性泥石流残留层的形成及减阻作用--以云南蒋家沟泥石流为例

通过对云南蒋家沟粘性泥石流的野外观测 ,讨论了粘性泥石流残留层的定义特征 ,在大量实测数据基础上 ,分析了残留层易形成时段的特性 ;分别对一次泥石流过程、若干阵泥石流和一阵泥石流残留层的变化进行了相关分析 ;最后用观测数据分析了泥石流残留层的减阻作用