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
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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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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 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.
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
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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?
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批准号:2002437
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项目类别:Standard Grant
-
资助金额:$35.78万
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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
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财政年份:2018
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负责人:Robert Kopp
-
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
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财政年份:2018
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负责人:Robert Kopp
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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
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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
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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
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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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项目类别:青年科学基金项目(C类)
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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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负责人:靳光远
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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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项目类别:青年科学基金项目
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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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负责人:荆腾
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依托单位:
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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项目类别:面上项目
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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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依托单位:
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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资助金额:33.0万元
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批准年份:2009
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负责人:吕中元
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依托单位:
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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项目类别:面上项目
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资助金额:25.0万元
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批准年份:2006
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负责人:张国清
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依托单位:
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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项目类别:青年科学基金项目
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资助金额:23.0万元
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批准年份:2005
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负责人:陈华钧
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依托单位:
超声防垢阻垢机理的动态力学分析
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批准号:10574086
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项目类别:面上项目
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资助金额:35.0万元
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批准年份:2005
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负责人:张明铎
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依托单位:
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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项目类别:青年科学基金项目
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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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负责人:吕金虎
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依托单位: