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

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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   

星基增强系统L1频段信息服务性能分析     

赵镇  陈刚  胡志刚 《中国地震》2020,36(4):912-923

在北斗全球导航服务进程中,北斗星基增强服务的建设是我国卫星导航事业自身建设和不断完善发展的内在需求,更是我国卫星导航系统标准化建设的必然要求。本文基于星基增强信息定位原理,研究并实现星基增强系统的标准定位算法,采用IGS站点数据及增强信息电文,对WAAS与EGNOS系统服务性能进行分析评估,在“陆态网络”数据处理中,加入SBAS信息也可对相关误差进行改正。结果表明,加入播发的差分改正信息定位精度相对于伪距单点定位显著提高,平面方向统计均方根残差优于1m,高程方向优于1.2m;研究发现受地面参考站分布区域以及电离层、观测星座的影响,WAAS和EGNOS在定位服务性能覆盖范围内均表现出一定的区域性。从总体分析来看,不同系统空间段GEO卫星播发SBAS消息特性不一,均满足单频定位需求,EGNOS稳定性低于WAAS系统,播发消息时有中断现象,在实时单频定位性能方面,WAAS的服务性能较EGNOS得到更优的解算结果。  相似文献   

BIM技术在震后灾区居民装配式建筑设计中的应用     

唐雪静 《华南地震》2019,39(3):114-120

为解决震后灾区地形复杂,建筑建设困难问题,将BIM技术应用在震后灾区居民装配式建筑设计中,基于BIM体系框架设计震后灾区居民装配式建筑建造流程,通过设计阶段、工厂预制阶段、运输阶段以及安装阶段完成震后灾区居民装配式建筑项目的构建,采用Revit软件和Tekla软件构建装配式建筑的建筑模型和结构模型,利用BIM技术的可视化、参数化以及高合作性优势,优化模型以及构件,再通过Navisworks软件依据建筑模型实现建筑工程的碰撞检测,减少施工过程中的变更,降低建筑工程施工成本;通过基于BIM的震后建筑进度管理模型,实现建筑进化计划编制以及进度控制;利用Lumion软件输入工程材质实现建筑项目的实时漫游,直观了解装配式建筑效果。  相似文献   

重磁处理解释系统软件设计与关键实现技术          下载免费PDF全文

郑元满  姚长利  李泽林  刘强 《地球物理学报》2019,62(10):3744-3759

重磁探测是金属矿勘探的主要手段之一,其处理和解释方法技术已得到很大的发展,研发与其相适应的重磁软件是重要的研究课题.在国家863课题的支持下,我们设计并研发了重磁处理解释集成化软件系统.在分析国内外现有软件不足的基础上,我们对重磁软件系统所应具有的操作行为进行了针对性的设计,提出了具有特色的功能设计思路,并进行了针对性的研发实现.为满足深部矿产资源勘探需求和精细化解释需要,提出了更加具有针对性的软件设计解决方案,研发了特色的处理解释模块,核心突出软件的实时可视化和协同交互操作,使软件系统能高效地服务于使用者的目标任务.在优化改进处理、正反演算法的基础上,提出多核并行化方案并实现,提高了软件整体运行速度.最终形成了将数据管理、数据可视化、数据处理及解释有机结合的特色软件系统,为金属矿探测提供了一个高效、有力的工具.  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