Collaborative Research: CDI-Type II: From Data to Knowledge: The Quake-Catcher Network
合作研究:CDI-Type II:从数据到知识:Quake-Catcher 网络
基本信息
- 批准号:1027807
- 负责人:
- 金额:$ 8.8万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-10-01 至 2014-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Quake-Catcher Network (QCN) is a transformative approach to earthquake detection, science, and outreach. The QCN is a distributed computing project that links internal (no cost, built-in) or external (low cost, USB-based) accelerometers connected to any participating computer for earthquake research.Leveraging an innovative set of cyber-enabled seismic observations, this approach will enable the creation of a very dense, low-cost seismic network that can explore earthquake fault rupture in real-time, establish ground response to seismic wave passage, and quantify the shaking effects on critical structures. Results from a one-year exploratory grant from the NSF Cyber-Infrastructure Teaching, Education, Advancement and Mentoring program indicate QCN has the ability to be a new and transformative type of network, which is scalable and easy to deploy world-wide. Increasing the number of QCN sensors from 1,000 to more than 30,000 worldwide and developing efficient schemes to ingest, process, and distribute Terabytes of data will allow us to (1) explore fault mechanics (including directionality, slip distribution, and rupture velocity) at unprecedented resolutions, (2) study ground motions to assess seismic hazard and building response and (3) analyze data in real time for earthquake early warning and rapid response. This proposal will result in network with 6,000 new USB sensors and tens of thousands of no-cost sensorscommonly built internal to laptops and other devices. Additionally, QCN will provide the cyberinfrastructure to process and analyze the large new seismic data sets in near-real time and to foster collaboration between 1000?s of researchers and interested participants around the world. The frameworklaid by this project will enable rapid expansion of the network internationally and will allow us to grow the network at a fraction of the cost of traditional seismic instrumentation and infrastructure, providing valuable data to augment the existing seismic networks.The success of the Quake-Catcher Network is intrinsically linked to the broader participation of the general public; members of the public, schools (K-12, undergraduate and graduate), and community organizations host QCN sensors. These ?citizen-scientists? will receive real-time earthquake information, seismic data and results, and interactive educational materials.
地震捕手网络(QCN)是地震探测、科学和外展的一种变革性方法。QCN是一个分布式计算项目,(无成本,内置)或外部(低成本,基于USB)加速度计连接到任何参与地震研究的计算机。利用一套创新的网络化地震观测,这种方法将能够创建一个非常密集,低成本的地震网络,可以实时探索地震断层破裂,建立地震波传播的地面响应,并量化振动对关键结构的影响。NSF网络基础设施教学、教育、发展和指导计划为期一年的探索性资助的结果表明,QCN有能力成为一种新型的变革性网络,这种网络具有可扩展性,易于在全球范围内部署。将全球QCN传感器的数量从1,000个增加到30,000多个,并开发有效的方案来摄取、处理和分发TB数据,这将使我们能够(1)探索断层力学(包括方向性、滑动分布和破裂速度),(2)研究地面运动以评估地震危险性和建筑物反应;(3)分析真实的数据以进行地震早期预警和快速反应。这一提议将使网络拥有6,000个新的USB传感器和数万个通常内置于笔记本电脑和其他设备内部的免费传感器。此外,QCN将提供网络基础设施,以近实时处理和分析大型新地震数据集,并促进1000?世界各地的研究人员和感兴趣的参与者。这个项目所建立的框架将使该网络能够在国际上迅速扩展,并使我们能够以传统地震仪器和基础设施费用的一小部分扩大该网络,为扩大现有地震网络提供宝贵的数据。公众、学校(K-12、本科生和研究生)和社区组织成员托管QCN传感器。这些?公民科学家将收到实时地震信息、地震数据和结果以及互动教育材料。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Michela Taufer其他文献
Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric
利用国家科学数据结构中的 FAIR 数字对象加强科学研究
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Michela Taufer;Heberth Martinez;Jakob Luettgau;Lauren Whitnah;G. Scorzelli;P. Newell;Aashish Panta;P. Bremer;Douglas Fils;Christine R. Kirkpatrick;V. Pascucci;Kathryn Mohror;J. Shalf - 通讯作者:
J. Shalf
Integrating FAIR Digital Objects (FDOs) into the National Science Data Fabric (NSDF) to Revolutionize Dataflows for Scientific Discovery
将 FAIR 数字对象 (FDO) 集成到国家科学数据结构 (NSDF) 中,彻底改变科学发现的数据流
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Michela Taufer;Heberth Martinez;Jakob Luettgau;Lauren Whitnah;†. GiorgioScorzelli;†. PaniaNewel;Aashish Panta;Timo Bremer;§. DougFils;¶. ChristineR.Kirkpatrick;Nina McCurdy;V. Pascucci;U. Knoxville;†. U.Utah;R. LLNL ‡;Research Center - 通讯作者:
Research Center
Michela Taufer的其他文献
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