CAREER: A Cyberinfrastructure Enabled Hybrid Spatial Decision Support System for Improving Coastal Resilience to Flood Risks

职业：网络基础设施支持的混合空间决策支持系统，可提高沿海地区对洪水风险的抵御能力

• 批准号: 2339174
• 负责人: Zhe Zhang
• 金额: $ 54.83万
• 依托单位: Texas A&M University
• 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 2029-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2339174&HistoricalAwards=false
• 关键词: CAREER; Cyberinfrastructure; Enabled; Hybrid; Spatial

The effects of global warming, including sea level rise and extreme weather events, are leading to an expansion of flood-prone areas and increasing disaster risks. Water-related hazards, particularly flooding, pose a significant and multifaceted threat to human life, property, and the environment. Decision-making in flood management is challenging due to the urgency and complexity of the responders' situations. For example, flood situations often involve rapidly changing conditions and uncertainties. A decision is usually achieved through an inquiry into questions closely tied to decision objectives and their associated evaluation criteria based on diverse geophysical, socioeconomic, and demographic conditions. Flood management is gradually empowered by increasing geospatial big-data awareness and growing computing capabilities to produce situational understanding for supporting timely decisions. This CAREER project builds a Hybrid Spatial Decision Support System powered by advanced cyberinfrastructure and geospatial artificial intelligence to better understand water-related hazards in coastal regions. This decision support system will enhance the communication between citizens and emergency management organizations and provide disaster decision support to local communities as well as to those social groups that lack the usual social safety nets necessary in disaster response, such as minority groups, people with low incomes, and physically challenged people. The synergistic education and outreach activities offer learning opportunities about geospatial high-performance computing and geospatial disaster science to researchers and university and high school students to broaden the participation of underrepresented students in computing through university courses and multi-level and high-school education programs.This CAREER project builds a Hybrid Spatial Decision Support System that integrates scalable geospatial data and visualization tools into a cyberinfrastructure-enabled framework to support decision-making in flood management. This project also establishes a scientific roadmap to advance disaster decision science using advanced cyberinfrastructure, geospatial artificial intelligence, and education activities to educate communities to better prepare for flood hazards. In the Hybrid Spatial Decision Support System, a high-performance cyberinfrastructure-based interface accelerates reading and visualizing disaster-related Network Common Data Form (NetCDF) data. Another innovation is to combine the data-driven approach with expert-driven decision analysis to enable a more accurate, comprehensive, and transparent flood risk assessment that bridges the gap between the digital world and human perception of risk. Community engagement activities and use-inspired research are used to evaluate the level of trust and transparency of using geospatial artificial intelligence and decision-making models in flood risk prediction. Finally, the project integrates research outcomes into educational curricula and activities to engage students and researchers in high-performance computational thinking for disaster management research.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.

全球变暖的影响，包括海平面上升和极端天气事件，正在导致洪水易发地区扩大并增加灾害风险。与水有关的灾害，特别是洪水，对人类生命、财产和环境构成重大和多方面的威胁。由于响应者情况的紧迫性和复杂性，洪水管理决策具有挑战性。例如，洪水情况通常涉及快速变化的条件和不确定性。决策通常是通过调查与决策目标密切相关的问题以及基于不同的地球物理、社会经济和人口条件的相关评估标准来实现的。通过不断增强的地理空间大数据意识和不断增强的计算能力，洪水管理逐渐得到增强，以产生态势理解以支持及时决策。该职业项目建立了一个由先进的网络基础设施和地理空间人工智能提供支持的混合空间决策支持系统，以更好地了解沿海地区与水有关的灾害。该决策支持系统将加强公民与应急管理组织之间的沟通，为当地社区以及缺乏灾害应对所需的通常社会安全网的社会群体（例如少数群体、低收入人群）提供灾害决策支持和身体有障碍的人。协同教育和推广活动为研究人员以及大学生和高中生提供了有关地理空间高性能计算和地理空间灾害科学的学习机会，通过大学课程以及多层次和高中教育计划扩大代表性不足的学生对计算的参与。该职业项目构建了一个混合空间决策支持系统，将可扩展的地理空间数据和可视化工具集成到基于网络基础设施的框架中，以支持洪水管理的决策。该项目还制定了科学路线图，利用先进的网络基础设施、地理空间人工智能和教育活动来推进灾害决策科学，以教育社区更好地应对洪水灾害。在混合空间决策支持系统中，基于网络基础设施的高性能接口可加速读取和可视化与灾难相关的网络通用数据形式（NetCDF）数据。另一项创新是将数据驱动的方法与专家驱动的决策分析相结合，以实现更准确、更全面、更透明的洪水风险评估，弥合数字世界与人类风险感知之间的差距。社区参与活动和受使用启发的研究用于评估在洪水风险预测中使用地理空间人工智能和决策模型的信任和透明度水平。最后，该项目将研究成果融入教育课程和活动中，让学生和研究人员参与灾害管理研究的高性能计算思维。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的评估进行评估，被认为值得支持。影响审查标准。