Belmont Forum Collaborative Research: Resilient societies through smart-city technology; Assessing earthquake risk in ultra-high resolution

贝尔蒙特论坛合作研究：通过智慧城市技术打造具有复原力的社会；

• 批准号: 2025310
• 负责人: Yousef Bozorgnia
• 金额: $ 30万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025310&HistoricalAwards=false
• 关键词: Belmont; Forum; Collaborative; Research; Resilient

This award provides support to U.S. researchers participating in a project competitively selected by a 55-country initiative on global change research through the Belmont Forum. The Belmont Forum is a consortium of research funding organizations focused on support for transdisciplinary approaches to global environmental change challenges and opportunities. It aims to accelerate delivery of the international research most urgently needed to remove critical barriers to sustainability by aligning and mobilizing international resources. Each partner country provides funding for their researchers within a consortium to alleviate the need for funds to cross international borders. This approach facilitates effective leveraging of national resources to support excellent research on topics of global relevance best tackled through a multinational approach, recognizing that global challenges need global solutions. This award provides support for the U.S. researchers to cooperate in consortia that consist of partners from at least three of the participating countries to address the growing need for assessment and reduction of disaster risk, collaborative co-design of resilience strategies with a breadth of stakeholders, and scientifically and technologically enhanced responses to disasters. This project seeks to help create more earthquake resilient societies through smart-city technology. The project will focus on case studies from the United States, Taiwan, Japan and New Zealand to create a framework that combines frontier science with high-density ground and building measurements to provide innovative and visualized earthquake hazard and risk assessments. The project will integrate current and future technologies to make smart cities and their citizens more resilient by helping disaster workers and managers use their resources more efficiently through high-level, detailed information. This project develops and integrates new scientific advancements to directly provide benefits to society and support all involved stakeholders in increasing resilience. The framework will consist of a network of massively distributed sensors for earthquake and structural measurements to quantify seismic risk at an ultra-dense level. The state-of-the-art hazard and risk assessments will help provide critical information to strengthen risk governance and disaster reduction measures for stronger resilience. The project will produce impact visualizations such as sophisticated earthquake hazard scenario simulations to better communicate risk information to targeted end-users. The results and scenarios will guide enhanced disaster preparedness for effective response and matches the goal to build-back-better in recovery, rehabilitation and reconstruction.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项通过贝尔蒙特论坛，为参与由55个国家的全球变化研究倡议竞争性选择的项目的美国研究人员提供支持。 贝尔蒙特论坛是一个由研究供资组织组成的联合会，其重点是支持对全球环境变化挑战和机遇采取跨学科办法。 它的目的是通过调整和调动国际资源，加快提供最迫切需要的国际研究，以消除可持续性的关键障碍。每个伙伴国家都在一个财团内为其研究人员提供资金，以减轻跨越国际边界的资金需求。这一办法有助于有效利用国家资源，支持对具有全球意义的专题进行出色的研究，最好通过多国办法加以处理，同时认识到全球挑战需要全球解决办法。该奖项为美国研究人员提供支持，以支持由至少三个参与国的合作伙伴组成的联盟，以满足日益增长的评估和减少灾害风险的需求，与广泛的利益相关者合作共同设计恢复力战略，并在科学和技术上加强对灾害的反应。 该项目旨在通过智能城市技术帮助建立更具地震韧性的社会。该项目将侧重于美国、台湾、日本和新西兰的案例研究，以创建一个框架，将前沿科学与高密度地面和建筑测量相结合，提供创新和可视化的地震灾害和风险评估。该项目将整合当前和未来的技术，通过帮助灾难工作者和管理人员通过高层次的详细信息更有效地利用资源，使智慧城市及其公民更具弹性。该项目开发和整合了新的科学进步，直接为社会带来好处，并支持所有相关利益攸关方提高复原力。 该框架将包括一个用于地震和结构测量的大规模分布式传感器网络，以超密集水平量化地震风险。 最先进的危害和风险评估将有助于提供关键信息，以加强风险治理和减灾措施，增强抗灾能力。该项目将产生影响可视化，如复杂的地震灾害情景模拟，以更好地向目标最终用户传达风险信息。结果和情景将指导加强灾害准备，以有效应对，并符合重建的目标-更好地恢复，恢复和重建。该奖项反映了NSF的法定使命，并已被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

项目成果

Uncertainty quantification of ground motion time series generated at uninstrumented sites

未仪表化地点产生的地面运动时间序列的不确定性量化

• DOI: 10.1177/87552930221135286
• 发表时间: 2022
• 期刊: Earthquake Spectra
• 影响因子: 5
• 作者: Tamhidi, Aidin;Kuehn, Nicolas M;Bozorgnia, Yousef
• 通讯作者: Bozorgnia, Yousef

Conditioned Simulation of Ground-Motion Time Series at Uninstrumented Sites Using Gaussian Process Regression

使用高斯过程回归对未仪表化地点的地面运动时间序列进行条件模拟

• DOI: 10.1785/0120210054
• 发表时间: 2021
• 期刊: Bulletin of the Seismological Society of America
• 影响因子: 3
• 作者: Tamhidi, Aidin;Kuehn, Nicolas;Ghahari, S. Farid;Rodgers, Arthur J.;Kohler, Monica D.;Taciroglu, Ertugrul;Bozorgnia, Yousef
• 通讯作者: Bozorgnia, Yousef