Large-scale CoPe: Megalopolitan Coastal Transformation Hub (MACH): Researching complex interactions between climate hazards and communities to inform governance of coastal risk.

大规模 CoPe：大都市沿海转型中心 (MACH)：研究气候灾害与社区之间复杂的相互作用，为沿海风险治理提供信息。

• 批准号: 2103754
• 负责人: Robert Kopp
• 金额: $ 1993.59万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2103754&HistoricalAwards=false
• 关键词: Large; scale; CoPe; Megalopolitan; Coastal

Risks from rising seas, shifting storms, and eroding coastlines, as well as changing ecosystems and development patterns, are escalating in coastal megalopolises around the world. Local, state, and federal climate risk management decisions are interacting with one another and coastal dynamics in complex ways that will shape risk patterns for decades. However, the frameworks informing these decisions are often ill-suited for sustained, complex environmental changes unfolding under deep uncertainty and often reinforce existing inequities. The CoPe Megapolitan Coastal Transformation Hub (MACH) aims to develop climate-resilient decision-making frameworks to equitably support coastal communities. Fundamental research questions will be addressed through co-production of climate research, with the intended legacy of producing a replicable model for climate risk management. The project is driven by demographically representative stakeholder engagement, which will be sustained through the continuous engagement of researchers with a Collaborative Stakeholder Advisory Panel. MACH partners with organizations that are trusted by and routinely represent, serve, and engage socially vulnerable and historically underrepresented populations in target communities. MACH will broaden participation in the STEM workforce by engaging community college faculty in the development of research priorities and by working with community college faculty and students to incorporate critical service-learning. In addition to facilitating interdisciplinary science through a broad range of academic partners, the Hub advances CoPe goals by linking researchers with coastal community stakeholders and decision-makers to ultimately co-develop dynamic adaptation policy pathways for navigating a deeply uncertain future in an equitable manner.To overcome challenges in the dynamics of natural-human systems drive coastal climate risk, MACH will bring natural scientists, social scientists, civil engineers, and humanists together with coastal stakeholders and decision-makers in the New York City-New Jersey-Philadelphia region to co-produce knowledge that informs climate-resilient development pathways of coastal communities. MACH’s convergence research agenda will provide fundamental insights into the complex interactions between coastal climate hazards, landforms, and decisions that shape the distribution, dynamics, and uncertainties of increasing climate risks. It will facilitate flexible, equitable, and robust planning to manage coastal climate risks, building upon the iterative process of framing, analyzing, implementing, and monitoring adaptation systems that constitutes the Dynamic Adaptive Policy Pathway (DAPP) co-production framework. It will address three fundamental questions: 1) How can an improved scientific understanding of the integrated natural-human-decision system inform coastal climate risk management and the design of mission-oriented basic research? 2) How do the dynamics of coastal natural-human systems drive hazards and risks? 3) How do dynamic interactions among decisions affecting the coastal system at different scales and time horizons influence exposures, vulnerabilities, and risks?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.

海洋上升，变化的风暴和侵蚀海岸线的风险以及改变生态系统和发展模式的风险正在全球沿海巨局升级。地方，州和联邦气候风险管理决策正在相互互动，并以复杂的方式进行沿海动态，这些决策将数十年来塑造风险模式。但是，通知这些决定的框架通常不适合在深度不确定性下发生的持续，复杂的环境变化，并且通常会加剧现有的不平等现象。 Cope Megapolitan沿海转型中心（MACH）旨在开发气候夸大的决策框架，以同样支持沿海社区。基本的研究问题将通过共同制作气候研究来解决，其预期的遗产是为气候风险管理生产可复制的模型。该项目是由人口统计学代表利益相关者参与的驱动的，该项目将通过研究人员与协作利益相关者咨询小组的持续参与来维持。马赫（Mach）与在目标社区中信任和参与社会脆弱且历史上代表性不足的组织的组织合作伙伴。 Mach将通过吸引社区大学教职员工来发展研究重点，并与社区大学教职员工和学生合作，以纳入关键的服务学习，来扩大对STEM劳动力的参与。除了通过各种各样的学术伙伴支持跨学科科学外，枢纽还通过将研究人员与沿海社区的利益相关者和决策者联系起来，最终将研究人员联系起来，以最终共同开发动态适应政策途径，以导航公平的方式，使自然主义者的动态主义者越来越多地使沿公平的挑战在公平的方式中逐渐发展。与纽约市新泽西州 - 菲尼亚地区的沿海利益相关者和决策者一起共同生产知识，以告知沿海社区气候富裕的发展途径。马赫的融合研究议程将对沿海气候危害，地形和决策之间的复杂相互作用提供基本的见解，这些危险和决定塑造了增加气候风险的分布，动态和不确定性。它将促进灵活，公平和强大的计划来管理沿海气候风险，并基于构成动态适应性政策途径（DAPP）共生产框架的框架，分析，实施和监视适应系统的迭代过程。它将解决三个基本问题：1）如何对综合自然人类决策系统的科学理解为沿海气候风险管理和以任务为导向的基础研究设计的改进科学理解如何？ 2）沿海天然人类系统的动态如何驱动危害和风险？ 3）在不同规模和时间范围内影响沿海体系的决策之间的动态互动如何影响暴露，脆弱性和风险？该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点和更广泛的影响来通过评估来支持的。

项目成果

Using Neural Networks to Predict Hurricane Storm Surge and to Assess the Sensitivity of Surge to Storm Characteristics

使用神经网络预测飓风风暴潮并评估风暴潮对风暴特征的敏感性

• DOI: 10.1029/2022jd037617
• 发表时间: 2022
• 期刊: Journal of Geophysical Research: Atmospheres
• 作者: Lockwood, Joseph W.;Lin, Ning;Oppenheimer, Michael;Lai, Ching‐Yao
• 通讯作者: Lai, Ching‐Yao

A Machine learning approach for Post-Disaster data curation

• DOI: 10.1016/j.aei.2024.102427
• 发表时间: 2024-04
• 期刊: Adv. Eng. Informatics
• 作者: Sun Ho Ro;Yitong Li;Jie Gong

Computer vision based first floor elevation estimation from mobile LiDAR data

• DOI: 10.1016/j.autcon.2023.105258
• 发表时间: 2024-03
• 期刊: Automation in Construction
• 影响因子: 10.3
• 作者: Jiahao Xia;Jie Gong

The Framework for Assessing Changes To Sea-level (FACTS) v1.0: a platform for characterizing parametric and structural uncertainty in future global, relative, and extreme sea-level change

海平面变化评估框架 (FACTS) v1.0：用于描述未来全球、相对和极端海平面变化的参数和结构不确定性的平台

• DOI: 10.5194/gmd-16-7461-2023
• 发表时间: 2023
• 期刊: Geoscientific Model Development
• 影响因子: 5.1
• 作者: Kopp, Robert E.;Garner, Gregory G.;Hermans, Tim H.;Jha, Shantenu;Kumar, Praveen;Reedy, Alexander;Slangen, Aimée B.;Turilli, Matteo;Edwards, Tamsin L.;Gregory, Jonathan M.
• 通讯作者: Gregory, Jonathan M.

The timing of decreasing coastal flood protection due to sea-level rise

由于海平面上升而减少沿海防洪的时机

• DOI: 10.1038/s41558-023-01616-5
• 发表时间: 2023
• 期刊: Nature Climate Change
• 影响因子: 30.7
• 作者: Hermans, Tim H.;Malagón-Santos, Víctor;Katsman, Caroline A.;Jane, Robert A.;Rasmussen, D. J.;Haasnoot, Marjolijn;Garner, Gregory G.;Kopp, Robert E.;Oppenheimer, Michael;Slangen, Aimée B.
• 通讯作者: Slangen, Aimée B.