Belmont Forum Collaborative Research:Data-driven Disaster Response Systems Dependent on Time of Day, Season and Location for Megacities

贝尔蒙特论坛合作研究：依赖于一天中的时间、季节和位置的特大城市数据驱动的灾难响应系统

• 批准号: 2022720
• 负责人: Upmanu Lall
• 金额: $ 29.99万
• 依托单位: Columbia University
• 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 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2022720&HistoricalAwards=false
• 关键词: Belmont; Forum; Collaborative; Research; Data

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 award aims to design a replicable and transferrable information-sharing system for disaster preparedness and response in megacities. Such a system would inform immediate response in the face of rapid-onset disasters, such as floods, earthquakes, and fires. Case studies selected for this project are Tokyo, Taipei, and New York City due to their complex urban environments and diverse populations, which present a challenge for disaster management. To address dynamic disaster scenarios as well as the needs of vulnerable socio-economic groups in urban areas, this project will integrate both scenario-based and data-driven planning, while incorporating sensor data and stakeholder engagement. This work proposes to simulate earthquake and fires for Tokyo as well as floods for NYC and Taipei and response to these events. The study will attempt to improve damage prediction and response modeling and will design a real-time warning and response system for disaster management.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。 该奖项旨在为特大城市的备灾和救灾设计一个可复制和可转让的信息共享系统。这样一个系统将为在洪水、地震和火灾等突发灾害面前立即作出反应提供信息。 本项目选择的案例研究是东京、台北和纽约市，因为它们复杂的城市环境和多样化的人口，这对灾害管理提出了挑战。为了应对不断变化的灾害情景以及城市地区弱势社会经济群体的需求，该项目将整合基于地理信息系统和数据驱动的规划，同时纳入传感器数据和利益攸关方的参与。这项工作建议模拟东京的地震和火灾，以及纽约和台北的洪水和对这些事件的反应。该研究将试图改善损害预测和响应建模，并将设计一个实时预警和响应系统的灾害管理。这个奖项反映了NSF的法定使命，并已被认为是值得支持的，通过评估使用基金会的知识价值和更广泛的影响审查标准。