ITR/IM: Adaptive Real-Time Geoscience and Environmental Data Analysis, Modeling and Visualization

ITR/IM：自适应实时地球科学和环境数据分析、建模和可视化

• 批准号: 0121693
• 负责人: Nicholas Sitar
• 金额: $ 150.36万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0121693&HistoricalAwards=false
• 关键词: ITR; IM; Adaptive; Real; Time

0121693SitarThis project involves a 3-year interdisciplinary effort to build on new advances in information technology to develop an adaptive real-time system for active management, processing, modeling and visualization of environmental and geoscience data. The P.I.s will develop a set of real-time, integrated data base management and field data acquisition tools for rapid and adaptive assessment of the various phenomena following and during major catastrophic events, such as earthquakes, fires, hurricanes, and floods. The P.I.'s interest is in real-time integration of the incoming information such that predictive models of expected site and structure response are continuously updated. Specifically, the P.I.s will integrate their efforts in the following areas: a) development of GIS databases capable of real time updating with multiple streams of information; b) adaptive digital field data acquisition/mapping; c) development of robust, low cost, intelligent field instrumentation capable of real time data transmission (MOTEs); and d) data visualization and adaptive modeling of the observed phenomena.***

[00:12 . 93]该项目涉及一项为期3年的跨学科努力，以信息技术的新进展为基础，开发一种自适应实时系统，用于环境和地球科学数据的主动管理、处理、建模和可视化。P.I.s将开发一套实时、综合数据库管理和现场数据采集工具，用于对地震、火灾、飓风和洪水等重大灾难性事件之后和期间的各种现象进行快速和适应性评估。侦探的兴趣在于实时整合传入的信息，这样预期的地点和结构响应的预测模型就会不断更新。具体而言，私家侦探将在以下领域整合他们的努力：a)发展能够用多种信息流实时更新的地理信息系统数据库；B)自适应数字野外数据采集/制图；c)开发健壮、低成本、能够实时数据传输（MOTEs）的智能现场仪器；d)观测现象的数据可视化和自适应建模