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，侵蚀海岸线的风险，以及改变世界各地的生态系统和发展模式。这些框架通常是不确定的不确定性的不良态度，并且通常是现有的不平等现象。管理人员的参与度，这将是一个由合作的利益相关者咨询小组来维持的，这些咨询小组被信任和常规代表。英国大学的教师在开发中，通过各种各样的学术合作伙伴，通过将研究人员与沿海社区利益相关者联系起来，以纳入跨学科科学。以公平的方式深深的未来。克服天然人类系统的驱动沿海气候风险，社会科学家，土木工程师和人文主义者与纽约市菲尔塞尔菲的沿海利益相关者和决策者一起，以促进philselphi a地区沿海沿海地区的信息富有弹性的发展将提供沿海气候危害，地形和决策之间的基本见解框架，分析，实施和监视适应性动态自适应政策途径（DAPP）。面向任务的基础研究的设计？通过评估g基金会的知识分子和更广泛的影响审查标准。

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.