Large-scale CoPe: Megalopolitan Coastal Transformation Hub (MACH): Researching complex interactions between climate hazards and communities to inform governance of coastal risk.
Large-scale CoPe: Megalopolitan Coastal Transformation Hub (MACH): Researching complex interactions between climate hazards and communities to inform governance of coastal risk.
批准号:
2103754
负责人:
Robert Kopp
金额:
$1993.59万
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
项目状态:
未结题
起止时间:
2021-08-01 至 2026-07-31
中文摘要
在世界各地的沿海特大城市中,海平面上升、风暴变化和海岸线侵蚀以及生态系统和发展模式变化带来的风险正在升级。地方、州和联邦的气候风险管理决策正在以复杂的方式相互作用,并以复杂的方式影响沿海动态,这将塑造数十年的风险模式。然而,为这些决定提供信息的框架往往不适合在深度不确定性下展开的持续、复杂的环境变化,而且往往会加剧现有的不平等。COPE Megapolitan沿海转型中心(MACH)旨在制定适应气候变化的决策框架,以公平地支持沿海社区。基础研究问题将通过联合制作气候研究来解决,目的是为气候风险管理制作一个可复制的模型。该项目是由人口统计上具有代表性的利益攸关方参与推动的,这将通过研究人员与合作利益攸关方咨询小组的持续参与来维持。马赫与一些组织合作,这些组织受到目标社区中社会弱势群体的信任,并经常代表、服务和接触这些群体。Mach将通过让社区学院的教职员工参与研究重点的发展,并通过与社区学院教职员工和学生合作,纳入关键的服务学习,从而扩大STEM工作人员的参与。除了通过广泛的学术合作伙伴促进跨学科科学,中心还通过将研究人员与沿海社区利益相关者和决策者联系起来,最终共同开发动态适应政策路径,以公平的方式驾驭深度不确定的未来,来促进跨学科科学。为了克服自然-人类系统驱动沿海气候风险的动态挑战,Mach将把自然科学家、社会科学家、土木工程师和人文主义者与纽约市-新泽西-费城地区的沿海利益相关者和决策者聚集在一起,共同产生知识,为沿海社区适应气候变化的发展路径提供信息。马赫的汇聚研究议程将为沿海气候灾害、地形和影响气候风险增加的分布、动态和不确定性的决策之间的复杂相互作用提供基本见解。它将促进灵活、公平和稳健的规划,以管理沿海气候风险,以框架、分析、实施和监测适应系统的迭代进程为基础,构成动态适应政策路径(DAPP)联合制作框架。它将解决三个基本问题:1)提高对综合自然-人类-决策系统的科学理解如何为沿海气候风险管理和面向任务的基础研究的设计提供信息?2)海岸自然-人类系统的动态如何驱动灾害和风险?3)在不同规模和时间范围内影响海岸系统的决策之间的动态相互作用如何影响暴露、脆弱性和风险?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影响审查标准进行评估,被认为值得支持。
英文摘要
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.
期刊论文(32)
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科研奖励(0)
会议论文
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DOI:
10.1016/j.aei.2024.102427
发表时间:
2024-04
期刊:
Adv. Eng. Informatics
影响因子:
--
作者:
[Sun Ho Ro;Yitong Li;Jie Gong]
通讯作者:
Sun Ho Ro;Yitong Li;Jie Gong
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
影响因子:
--
作者:
[Lockwood, Joseph W., Lin, Ning, Oppenheimer, Michael, Lai, Ching‐Yao]
通讯作者:
Lai, Ching‐Yao
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]
通讯作者:
Jiahao Xia;Jie Gong
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.
Coastal Defense Megaprojects in an Era of Sea-Level Rise: Politically Feasible Strategies or Army Corps Fantasies?
海平面上升时代的海防大型项目:政治上可行的战略还是陆军军团的幻想?
DOI:
10.1061/(asce)wr.1943-5452.0001613
发表时间:
2023
期刊:
Journal of Water Resources Planning and Management
影响因子:
3.1
作者:
[Rasmussen, D. J., Kopp, Robert E., Oppenheimer, Michael]
通讯作者:
Oppenheimer, Michael
共 24 条
EAR-Climate: Catalytic: A Modern Spatio-Temporal Hierarchical Modeling Framework for Paleo-Environmental Data (PaleoSTeHM)
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批准号:2148265
-
项目类别:Standard Grant
-
资助金额:$80.08万
-
财政年份:2022
-
负责人:Robert Kopp
-
依托单位:
Collaborative Research: How Robust Are Common-Era Sea-Level Reconstructions?
-
批准号:2002437
-
项目类别:Standard Grant
-
资助金额:$35.78万
-
财政年份:2020
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负责人:Robert Kopp
-
依托单位:
Collaborative Research: P2C2 -- Connecting Common Era climate and sea level variability along the Eastern North American coastline
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批准号:1804999
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项目类别:Standard Grant
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资助金额:$17.73万
-
财政年份:2018
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-
依托单位:
Collaborative Research: Multi-proxy sea-level reconstructions and projections in the middle Pacific Ocean
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批准号:1831450
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项目类别:Standard Grant
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资助金额:$8.27万
-
财政年份:2018
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负责人:Robert Kopp
-
依托单位:
Collaborative Research: PREEVENTS Track 2: Thresholds and envelopes of rapid ice-sheet retreat and sea-level rise: reducing uncertainty in coastal flood hazards
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批准号:1663807
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项目类别:Continuing Grant
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资助金额:$69.98万
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财政年份:2017
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负责人:Robert Kopp
-
依托单位:
Collaborative Research: P2C2 - Reconstructing rates and sources of sea-level change over the last ~150 thousand years from a new coral database
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批准号:1702587
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项目类别:Standard Grant
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资助金额:$32.86万
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财政年份:2017
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负责人:Robert Kopp
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依托单位:
NRT: Coastal Climate Risk and Resilience (C2R2)
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批准号:1633557
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项目类别:Standard Grant
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资助金额:$299.91万
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财政年份:2016
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负责人:Robert Kopp
-
依托单位:
Collaborative Research: P2C2 -- Statistical estimation of past ice sheet volumes from paleo-sea level records
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批准号:1203415
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项目类别:Standard Grant
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资助金额:$46.61万
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财政年份:2012
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负责人:Robert Kopp
-
依托单位:
国内基金
海外基金
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基于热量传递的传统固态发酵过程缩小(Scale-down)机理及调控
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批准号:22108101
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资助金额:30.0万元
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批准年份:2021
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依托单位:
基于Multi-Scale模型的轴流血泵瞬变流及空化机理研究
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批准号:31600794
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资助金额:22.0万元
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批准年份:2016
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基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
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批准号:61672236
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项目类别:面上项目
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资助金额:64.0万元
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批准年份:2016
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负责人:王骏
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依托单位:
城镇居民亚健康状态的评价方法学及健康管理模式研究
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批准号:81172775
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资助金额:14.0万元
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批准年份:2011
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负责人:许军
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嵌段共聚物多级自组装的多尺度模拟
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批准号:20974040
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针对Scale-Free网络的紧凑路由研究
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批准号:60673168
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语义Web的无尺度网络模型及高性能语义搜索算法研究
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批准号:60503018
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资助金额:23.0万元
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超声防垢阻垢机理的动态力学分析
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资助金额:35.0万元
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负责人:张明铎
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探讨复杂动力网络的同步能力和鲁棒性
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批准号:60304017
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资助金额:23.0万元
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批准年份:2003
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