课题基金 / 基金详情

CyberSEES: Type 2: Collaborative Research: Real-time Ambient Noise Seismic Imaging for Subsurface Sustainability

CyberSEES: Type 2: Collaborative Research: Real-time Ambient Noise Seismic Imaging for Subsurface Sustainability
Cyber​​SEES:类型 2:协作研究:用于地下可持续性的实时环境噪声地震成像
批准号:
1663709
负责人:
WenZhan Song
金额:
$44.4万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-05 至 2019-12-31

项目摘要

项目成果

WenZhan Song的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
This project creates a real-time Ambient Noise Seismic Imaging system, to study and monitor the subsurface sustainability and potential hazards of geological structures. Understanding and addressing the subsurface sustainability has significant impact on the natural, social, and economic issues of the region and across the globe. The system is comprised of a self-sustainable sensor network of geophones that can autonomously perform in-network computing of the 3D shallow earth structure images based on ambient noise alone. The project will study the subsurface sustainability of Long Beach, California and Yellowstone using their existing seismic array datasets and design the imaging system accordingly. In the late stages of the project, a field demonstration of the prototype system in Yellowstone expects to image the subsurface of some geysers. The techniques developed find further utility in monitoring and understanding the dynamics of subsurface oil, mine and geothermal resources, alongside concomitant hazards in oil exploration, mining, hydrothermal eruption, and volcanic eruption). Real-time imaging of shallow earth structures is essential to assess the sustainability and potential hazards of geological structures. The ability to deploy large wireless sensor arrays in challenging environments is significant for any real-time hazard monitoring and early warning system. The new approach taken is general, and can be implemented as a new field network paradigm for real-time imaging of highly dynamic and complex environments, including both natural and man-made structures. Results from this research will be shared with Yellowstone National Park management (NPS), rangers, and staff. The real-time subsurface images can be used in visitor education centers, official handouts, ranger led field trips, and for public safety management. The educational activities of this project include enhancing undergraduate and graduate curricula and research programs at the three collaborative universities, and the project provides many opportunities for a collaborative cross-disciplinary exchange of ideas among them.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: OAC Core: Zero-trust and Traceable Data Infrastructure for Health IoT Data Storage and Sharing
Collaborative Research: SaTC: CORE: Medium: Cyber-threat Detection and Diagnosis in Multistage Manufacturing Systems through Cyber and Physical Data Analytics
I-Corps: Real-time In-situ Subsurface Imaging
CyberSEES: Type 2: Collaborative Research: Real-time Ambient Noise Seismic Imaging for Subsurface Sustainability
国内基金
海外基金
铋基邻近双金属位点Type B异质结光热催化合成氨机制研究
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    30.0万元
  • 批准年份:
    2024
  • 负责人:
    黎景卫
  • 依托单位:
智能型Type-I光敏分子构效设计及其抗耐药性感染研究
  • 批准号:
    22207024
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    20.0万元
  • 批准年份:
    2022
  • 负责人:
    赵琦
  • 依托单位:
TypeⅠR-M系统在碳青霉烯耐药肺炎克雷伯菌流行中的作用机制研究
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    55万元
  • 批准年份:
    2021
  • 负责人:
    蒋晓飞
  • 依托单位:
替加环素耐药基因 tet(A) type 1 变异体在碳青霉烯耐药肺炎克雷伯菌中的流行、进化和传播
  • 批准号:
    LY22H200001
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2021
  • 负责人:
    蔡加昌
  • 依托单位: