基于网络的强震动台网监控平台的设计与实现

文中从基于网络的强震动台网监控平台的设计目标、规划设计、软件实现等方面展开了阐述,并着重介绍了监控平台的设计与实现过程.基于网络的强震动台网监控平台的设计达到了“IP到台站,接口集成,智能监控与管理”的目标.应用实例表明,这套平台具有较强的自动处理功能和较好的监控、管理能力,且稳定可靠.     

Artificial neural network exploration of the influential factors in drainage network derivation

The interaction between landscape and stream processes has been well documented, and thus it is plausible to assume that landscape factors in a given watershed have a determinant function in stream network initiation and formation. Although past research has identified certain general relationships between stream drainage density and other environmental factors, no definite model for stream delineation has yet emerged. Particularly at smaller scales, drainage network extraction approaches have been devised that are generally independent of often widely heterogeneous landscape conditions. Utilizing digital terrain models alone for this purpose is, in many cases, problematic and inaccurate. This research effort involved using an artificial neural network (ANN) for the exploration of a number of environmental factors and information extracted from satellite images (Landsat 7 ETM+) with regard to finding the most indicative factors for drainage network location. The environmental variables included a series of available topographic, soil and lithology factors. Two hydrologically and geographically diverse case studies, one in Pennsylvania and the other in southern Italy, were used to this end. The results show that various spectral band ratios (1/4, 2/4 and 3/4) were mutually identified as significant in both case studies. Additionally, both case studies illustrated that different factors belonging to general parameter groups (soil and topography parameters) were identified by the ANN for each case, suggesting that future drainage network derivation methodologies should possibly consider that certain groups of environmental factors are more important for certain geographic regions than for others. Copyright © 2007 John Wiley & Sons, Ltd.     

中法合作数字化台网—张掖台网简介

数字化微震台网在国内是第一次尝试。张掖台网是中法合作的数字化台网，通过实践表明，台网的资料是可靠的，为国内地震研究手段开辟了新的领域。     

Aswan telemetered seismograph network

A telemetered network of 8 short-period seismograph stations was installed at Aswan Reservoir in July 1982 to monitor induced seismicity near the site of a magnitude 5 earthquake which occurred in November 1981. A continuous monitor of the seismicity is provided by pen and ink recording of 4 stations. An event detector is used to identify events of interest, for which all of the stations are recorded on magnetic tape. Approximate displacement magnifications are 40, 000 at 1 hz with a maximum of 500, 000 at 20 hz.     

台网系统监视平台

广东数字遥测地震台网的台网系统监视平台,是为监视台网中心的运行和台站仪器状况而设计的,通过网络对实时地震数据收集、处理系统运行和台站状态进行图形化自动监视,当发生地震事件、断记或系统故障时该平台能自动报警。实践表明,它既减轻了监测值班人员的工作负担,又为仪器维修人员跟踪台站仪器故障提供了帮助。     

The Spanish fireball network

Josep M Trigo-Rodríguez, Jordi Llorca, Alberto J Castro-Tirado, José L Ortiz, José A Docobo and Juan Fabregat describe their interdisciplinary approach to minor bodies in the solar system.     

六安地震与监测台网

针对六安地区历史上地震活动特点,分析多年来地震监测发展情况,认为要提高六安市防震减灾能力,应充分利用六安地区的地震监测资源和现代网络环境,开展地方地震监测工作。根据六安市地震台现状,提出了运用VPN技术,进行监测数据资源共享,建设六安市虚拟地震监测台网与应急指挥技术系统等技术方式,来提高六安市地震监测现代化水平与应急响应能力,以满足未来六安市防震减灾事业快速发展的需要。