考虑土-结构相互作用的振动台实时子结构试验仿真分析     

周大兴  闫维明  陈彦江  何浩祥 《震灾防御技术》2010,5(1):27-31

本文基于状态空间方程进行了实时子结构试验的初步探索,提出了一种新的实时子结构试验方法。通过simulink仿真发现,这种方法能很好地再现整体分析的结构反应。最后,对考虑土-结构相互作用的振动台实时子结构试验进行了仿真分析。  相似文献   

Coupling the k-nearest neighbor procedure with the Kalman filter for real-time updating of the hydraulic model in flood forecasting   总被引：2，自引：0，他引：2  

《国际泥沙研究》2016,(2):149-158

  相似文献   

实时精密单点定位精度与收敛性分析     

任晓东  何俊  张小红 《全球定位系统》2011,36(4):10-15

介绍了目前国际全球定位系统服务（IGS）组织提供的实时精密轨道和精密钟差改正系数（ROCC）的基本参数以及能够进行实时精密单点定位软件（BNC）（即BKG Ntrip Client,由BKG开发的一款用于实时同步接收、解码及转换的GNSS数据流管理软件）。选取了25个全球IGS跟踪站,并基于BNC软件分析了IGS提供的15种ROCC产品对测站实时精密单点定位精度与收敛性的影响。实验结果表明：采用BNC软件,15种ROCC产品均能在平均15min的时间收敛,并且在N、E方向达到6～8cm,U方向10～20cm的定位精度;且不同ROCC产品其收敛时间和定位精度都存在一定的差异。  相似文献   

CYP1A mRNA expression in redeye mullets (Liza haematocheila) from Bohai Bay, China     

An L  Hu J  Yang M  Zheng B  Wei A  Shang J  Zhao X 《Marine pollution bulletin》2011,62(4):718-725

  相似文献   

Algorithms for automatic,real-time tsunami detection in wind–wave measurements Part I: Implementation strategies and basic tests     

Gian Mario Beltrami  Marcello Di Risio 《Coastal Engineering》2011

Several, although not all, wind–wave gages are equipped with sensors capable of detecting sea-level oscillations within the tsunami frequency band. The present paper looks at the algorithms to be implemented in the software of these gages in order to automatically perform the real-time detection of a possible tsunami within recorded signals. In particular, a new algorithm is proposed and tested. The first part of the paper concentrates on the algorithms' characteristics, implementation strategies and basic testing. First of all, the situations in which wind–wave measurements are either essential, or useful for real-time tsunami detection are discussed. In the second place, already existing algorithms are recalled, specifying their characteristics and fields of application. Then, the characteristics of the new proposed algorithm – mainly based on an infinite impulse response, time domain filter – are illustrated and analyzed. Performance and efficiency of the considered algorithms are compared using synthetic time series. The second part of the paper discusses the algorithms' use in the framework of Tsunami Early Warning Systems (TEWS), testing them in actual cases.  相似文献   

Towards an operational system for oil-spill forecast over Spanish waters: initial developments and implementation test     

Sotillo MG  Fanjul EA  Castanedo S  Abascal AJ  Menendez J  Emelianov M  Olivella R  García-Ladona E  Ruiz-Villarreal M  Conde J  Gómez M  Conde P  Gutierrez AD  Medina R 《Marine pollution bulletin》2008,56(4):686-703

The ESEOO Project, launched after the Prestige crisis, has boosted operational oceanography capacities in Spain, creating new operational oceanographic services and increasing synergies between these new operational tools and already existing systems. In consequence, the present preparedness to face an oil-spill crisis is enhanced, significantly improving the operational response regarding ocean, meteorological and oil-spill monitoring and forecasting. A key aspect of this progress has been the agreement between the scientific community and the Spanish Search and Rescue Institution (SASEMAR), significantly favoured within the ESEOO framework. Important achievements of this collaboration are: (1) the design of protocols that at the crisis time provide operational state-of-the-art information, derived from both forecasting and observing systems; (2) the establishment, in case of oil-spill crisis, of a new specialized unit, named USyP, to monitor and forecast the marine oceanographic situation, providing the required met-ocean and oil-spill information for the crisis managers. The oil-spill crisis scenario simulated during the international search and rescue Exercise "Gijón-2006", organized by SASEMAR, represented an excellent opportunity to test the capabilities and the effectiveness of this USyP unit, as well as the protocols established to analyze and transfer information. The results presented in this work illustrate the effectiveness of the operational approach, and constitute an encouraging and improved base to face oil-spill crisis.  相似文献   

Daily reservoir inflow forecasting using artificial neural networks with stopped training approach   总被引：28，自引：0，他引：28  

P. Coulibaly  F. Anctil  B. Bobe 《Journal of Hydrology》2000,230(3-4):244-257

In this paper, an early stopped training approach (STA) is introduced to train multi-layer feed-forward neural networks (FNN) for real-time reservoir inflow forecasting. The proposed method takes advantage of both Levenberg–Marquardt Backpropagation (LMBP) and cross-validation technique to avoid underfitting or overfitting on FNN training and enhances generalization performance. The methodology is assessed using multivariate hydrological time series from Chute-du-Diable hydrosystem in northern Quebec (Canada). The performance of the model is compared to benchmarks from a statistical model and an operational conceptual model. Since the ultimate goal concerns the real-time forecast accuracy, overall the results show that the proposed method is effective for improving prediction accuracy. Moreover it offers an alternative when dynamic adaptive forecasting is desired.  相似文献   

基于随机森林的PM2.5实时预报系统     

侯俊雄  李琦  朱亚杰  冯逍  毛曦 《测绘科学》2017,42(1)

针对我国当前重污染天气PM2.5浓度的实时预报问题,该文提出了一种基于随机森林算法的PM2.5浓度实时预报方法,并利用此方法对北京市地面空气质量监测数据和气象数据进行分析,建立了基于随机森林算法的PM2.5浓度实时预报模型。实验证明,该模型能够对72h内PM2.5浓度进行较高精度的实时预报,通过使用Spark分布式计算框架,能够有效降低算法耗时,文章基于此模型与Spark分布式计算框架建立了PM2.5实时预报系统。  相似文献   

全球Argo实时海洋观测网建设及应用进展   总被引：1，自引：0，他引：1  

朱伯康  许建平 《海洋技术学报》2007,26(1):69-76

为了使各国政府、部门管理人员和科技工作者了解国际Argo计划的实施进展,以及帮助广大民众认识实施Argo计划的重要性和已经取得的初步成果,国际Argo信息中心、国际Argo科学组和国际Argo资料管理组联合编写了一本科普宣传册,题为“Argo,一个观测实时海洋的剖面浮标网”,经翻译、整理成文,以帮助国内读者深入了解和认识这一新世纪的重大国际观测计划。文章从陈述开展海洋观测的重要性和实施Argo计划的必要性着手,系统介绍了全球Argo实时海洋观测网建设的现状和Argo资料应用研究所取得的初步成果,以及Argo计划的发展前景等。  相似文献   

Improving debris flow monitoring in Taiwan by using high-resolution rainfall products from QPESUMS   总被引：2，自引：2，他引：2  

Chien-Yuan Chen  Lee-Yao Lin  Fan-Chieh Yu  Ching-Sheng Lee  Chun-Chieh Tseng  An-Hsiang Wang  Kei-Wai Cheung 《Natural Hazards》2007,40(2):447-461

Debris flow is commonly initiated by torrential rain and its triggering is correlated to the hydrological, geological, and geomorphic conditions on site. In spite of the important effects of geology and topography, rainfall characteristic is the main external triggering factor to debris flow and is a predominant parameter for real-time monitoring. Due to the scarcity of sufficient spatial ground-based rainfall data in hill areas, quantitative precipitation estimation using remote-sensing techniques such as radar and satellite is needed for debris flow pre-warning. The QPESUMS (Quantitative Precipitation Estimation and Segregation Using Multiple Sensors) system was acquired to retrieve spatial rainfall data during the rainfall period from June 30 to July 6 in 2004 when Typhoon Mindulle and southwesterly flow struck Taiwan. The retrieved data were used for setting up the debris flow monitoring algorithm. With the aid of multiple platforms of meteorological observations, a rainfall threshold isohyet in a pilot area was mapped for debris flow monitoring. The rainfall monitoring algorithm based on QPESUMS provides more detailed information than the limited number of ground-based rainfall stations for interpreting the spatial distributions of rainfall events, and therefore is more suitable for debris-flow monitoring.  相似文献