I-Corps: Artificial Intelligence-Empowered Flood Risk Analytics

I-Corps：人工智能赋能的洪水风险分析

• 批准号: 2403646
• 负责人: Ali Mostafavi
• 金额: $ 5万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2403646&HistoricalAwards=false
• 关键词: Corps; Artificial; Intelligence; Empowered; Flood; Corps; Artificial; Intelligence; Empowered; Flood

The broader impact/commercial potential of this I-Corps project is the development of a data-driven, analytics-based technology for automated flood risk mapping and rapid damage assessment. Flood hazards are the most prominent stressors for communities in the U.S. and across the world, causing dire physical, social, and economic hardships. Currently, city managers, planners, infrastructure owners and operators, emergency managers, and local and state public agencies are missing critical insights and foresights needed to mitigate, prepare for, respond to, and recover from flood hazards. This innovation may form the basis of data products and analytics solutions to inform various flood resilience plans and actions at city, regional, and state levels. In addition, this technology may transform the ability of decision-makers, emergency managers, and flood managers to tailor their strategies and technologies to enhance intelligent resilience in dealing with flood hazards.This I-Corps project is based on the development of an artificial intelligence (AI)-driven software system to reliably and accurately estimate spatial flood risk and property damage caused by flooding in a rapid and automated way. The technology augments the flood analytics capabilities of local/public agencies to enhance flood risk mapping, expedite flood claim processing, and enhance resource allocation. In addition, the system is designed to automatically map the lowest flood elevation of properties from street view imagery and provide high-resolution and reliable flood risk maps based on examining various hydrological, land use, and built environment features and their interactions. This technology may improve the reliability and availability of flood risk mapping and also improve the speed and accuracy of damage assessment, enabling local and public agencies, emergency managers, flood managers, and insurance companies to make more informed decisions in their flood resilience efforts.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I-Corps项目的更广泛的影响/商业潜力是开发基于数据驱动的，基于分析的技术，用于自动化洪水风险映射和快速损害评估。洪水危害是美国和世界各地社区最突出的压力源，造成了可怕的身体，社会和经济困难。目前，城市经理，规划师，基础设施所有者和运营商，紧急经理以及地方和州公共机构缺失了减轻洪水危害所需的批判性见解和远见。这项创新可能构成数据产品和分析解决方案的基础，以告知各种洪水弹性计划和在城市，地区和州一级的行动。此外，这项技术可能会改变决策者，应急管理人员和洪水经理的能力，以量身定制其策略和技术，以增强易于应对洪水危害的智能适应能力。该I-Corps项目基于人工智能（AI）驱动的软件系统的发展，以可靠，准确地估算出空间造成的空间损害和自动造成的洪水，并在洪水中造成洪水范围，并在洪水中造成了快速的损害。该技术增强了本地/公共机构的洪水分析能力，以增强洪水风险映射，加快洪水索赔处理并增强资源分配。此外，该系统旨在自动绘制从街景图像中的最低洪水泛滥高度，并根据检查各种水文，土地使用和建筑环境特征及其相互作用提供高分辨率和可靠的洪水风险图。 该技术可能会提高洪水风险映射的可靠性和可用性，并提高损害评估的速度和准确性，使本地和公共机构，应急管理人员，洪水管理人员和保险公司能够在其洪水弹性工作中做出更明智的决策。该奖项反映了NSF的法定任务，并通过评估基金会的智力效果和广泛的范围来进行评估。