Newton Fund: Applying nature-based coastal defence to the world's largest urban area - from science to practice
Newton Fund: Applying nature-based coastal defence to the world's largest urban area - from science to practice
批准号:
EP/R024553/1
负责人:
Ming Li
金额:
$14.22万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
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英文摘要
Project Summary:Nature-based coastal defence solutions have increasingly been recognized as more sustainable alternatives to conventional engineering approaches against climate change. In deltas undergoing fast urbanization, applying nature-based solutions can lead to space competition with other land uses, e.g. land-reclamations. For optimized management, the question of how much space is required by nature-based solutions is important. However, our current knowledge is insufficient in ecosystem size-dependent defence-value and resilience. Additionally, we are lacking insights into ecosystem creation for coastal defence, as previous restoration efforts have suffered low success rates.The current proposal aims to develop process-based understanding and predictive models of ecosystem size requirements and how to create ecosystems for coastal defence, using the world's largest urban area, Pearl River Delta, China, as a model system. Delta-scale mangrove area monitoring and hydrodynamic modelling will be conducted to study wetland area changes and optimization of ecosystem spaces for defence, under contrasting scenarios of climate change and land-reclamations.This large-scaled study will also provide underpinning boundary conditions for local-scaled experiments and modelling. A set of experiments using novel instruments will be conducted to improve our insights on the processes influencing mangrove defence-value and lateral dynamics. Innovative measures of using dredging materials and oyster reefs to facilitate mangrove establishment will also be tested experimentally. Local-scaled models will incorporate the obtained experimental knowledge to predict mangrove biogeomorphic dynamics and provide guidelines for management. The developed models and knowledge will be directly applied in the design of a pilot eco-dike project in collaboration with our partners.Summary of the UK applicants' proposed contribution to the project:The focus of the study is on coastal zone management, including management of sediment and nature-based flood defence. The UK applicants will lead Work Task 1: Wetland area monitoring/hydrodynamic modelling. This work task will provide an over-view of the bio-physical conditions, including the morphological and land-use aspects of the Pearl River Delta and its regional setting. The UK team will implement a high resolution unstructured-grid model (FVCOM) for the Pearl River Delta (PRD) for hydrodynamics, waves and sediment transport which will provide the interface between the larger scale atmospheric and oceanic boundary conditions and the smaller-scale process studies and ecosystem modelling to be carried out by our Dutch and Chinese partners. We will also address some objectives within focus area 1 (Resilient urban planning and management) in terms of combining spatial planning and disaster management by optimizing land use, institutions and mechanisms for more sustainable urbanisation, exploring eco-dynamic design options to provide opportunities for nature as part of urban development processes and reducing urban footprints and developing performance evaluation systems to mitigate environmental impacts. We will explore opportunities to apply management decision tools, such as those recently developed in the EPSRC ARCoES project.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3389/fmars.2020.00236
发表时间:
2020-04
期刊:
影响因子:
--
作者:
[P. Zheng;Ming Li;Caixia Wang;J. Wolf;Xue'en Chen;M. De Dominicis;P. Yao;Zhan Hu]
通讯作者:
P. Zheng;Ming Li;Caixia Wang;J. Wolf;Xue'en Chen;M. De Dominicis;P. Yao;Zhan Hu
DOI:
10.1016/j.csr.2023.104989
发表时间:
2023-04
期刊:
Continental Shelf Research
影响因子:
2.3
作者:
[P. Zheng;G. Gumbira;Ming Li;Joep van der Zanden;D. van der A;J. J. Van der Werf-J.;Xue'en Chen;Xiaonan Tang]
通讯作者:
P. Zheng;G. Gumbira;Ming Li;Joep van der Zanden;D. van der A;J. J. Van der Werf-J.;Xue'en Chen;Xiaonan Tang
DOI:
10.1029/2020gl087002
发表时间:
2020-02
期刊:
Geophysical Research Letters
影响因子:
5.2
作者:
[M. De Dominicis;J. Wolf;S. Jevrejeva;P. Zheng;Zhan Hu]
通讯作者:
M. De Dominicis;J. Wolf;S. Jevrejeva;P. Zheng;Zhan Hu
Collaborative Research: NeTS: Small: A Privacy-Aware Human-Centered QoE Assessment Framework for Immersive Videos
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批准号:2343618
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项目类别:Standard Grant
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资助金额:$35.0万
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财政年份:2024
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负责人:Ming Li
-
依托单位:
NSF Convergence Accelerator Track K: Prototyping decision support and monitoring tools for equitable management of salt contamination of water supplies in tidal rivers
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批准号:2344042
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项目类别:Standard Grant
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资助金额:$65.0万
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财政年份:2024
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负责人:Ming Li
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依托单位:
Conference: Salt contamination of water supplies in tidal rivers
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批准号:2245064
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2023
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负责人:Ming Li
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依托单位:
CoPe RCN: Advancing Interdisciplinary Research to Build Resilient Communities and Infrastructure in the Nation's Estuaries and Bays
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批准号:1940273
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项目类别:Standard Grant
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资助金额:$50.0万
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财政年份:2020
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负责人:Ming Li
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依托单位:
CAREER: Leveraging Context-Aware Sensing to Enhance QoE for Mobile Users: A Practical Framework Design
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批准号:1943509
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项目类别:Continuing Grant
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资助金额:$50.22万
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财政年份:2020
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负责人:Ming Li
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依托单位:
SaTC: CORE: Medium: Collaborative: Enforcement of Geofencing Policies for Commercial Unmanned Aircraft Systems
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批准号:1801402
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项目类别:Standard Grant
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资助金额:$23.0万
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财政年份:2018
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负责人:Ming Li
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依托单位:
CCSS: Collaborative Research: Towards Privacy-Preserving Mobile Crowd Sensing: A Multi-Stage Solution
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批准号:1849860
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项目类别:Standard Grant
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资助金额:$13.48万
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财政年份:2018
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负责人:Ming Li
-
依托单位:
CRII: NeTS: Modeling and Analysis of Green Mobile Crowd Sensing
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批准号:1924463
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项目类别:Standard Grant
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资助金额:$8.72万
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财政年份:2018
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负责人:Ming Li
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依托单位:
Generation Mechanisms of Nonlinear Internal Waves in Coastal Plain Estuaries
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批准号:1756155
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项目类别:Standard Grant
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资助金额:$34.11万
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财政年份:2018
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负责人:Ming Li
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依托单位:
CCSS: Collaborative Research: Towards Privacy-Preserving Mobile Crowd Sensing: A Multi-Stage Solution
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批准号:1711991
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项目类别:Standard Grant
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资助金额:$15.0万
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财政年份:2017
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负责人:Ming Li
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依托单位:
MRI: Development of a Cloud Based Instrument for Heterogeneous Biomedical Body Sensor Systems
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批准号:1626586
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项目类别:Standard Grant
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资助金额:$39.99万
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财政年份:2016
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负责人:Ming Li
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依托单位:
CRII: NeTS: Modeling and Analysis of Green Mobile Crowd Sensing
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批准号:1566634
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项目类别:Standard Grant
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资助金额:$17.44万
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财政年份:2016
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负责人:Ming Li
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依托单位:
EARS: Collaborative Research: Crowdsourcing-Based Spectrum Etiquette Enforcement in Dynamic Spectrum Access
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批准号:1444076
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项目类别:Standard Grant
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资助金额:$36.0万
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财政年份:2015
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负责人:Ming Li
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依托单位:
EARS: Collaborative Research: Crowdsourcing-Based Spectrum Etiquette Enforcement in Dynamic Spectrum Access
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批准号:1619728
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项目类别:Standard Grant
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资助金额:$32.93万
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财政年份:2015
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负责人:Ming Li
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依托单位:
CAREER: Toward Cooperative Interference Mitigation for Heterogeneous Multi-Hop MIMO Wireless Networks
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批准号:1564477
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项目类别:Continuing Grant
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资助金额:$44.58万
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财政年份:2015
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负责人:Ming Li
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依托单位:
Support for the Doctoral Consortium Program at IEEE International Conference on Health Informatics (ICHI) 2015
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批准号:1549949
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项目类别:Standard Grant
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资助金额:$1.4万
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财政年份:2015
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负责人:Ming Li
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依托单位:
Student Travel Support for the INFOCOM 2015 Conference
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批准号:1522987
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项目类别:Standard Grant
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资助金额:$2.5万
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财政年份:2015
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负责人:Ming Li
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依托单位:
CAREER: Toward Cooperative Interference Mitigation for Heterogeneous Multi-Hop MIMO Wireless Networks
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批准号:1350655
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项目类别:Continuing Grant
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资助金额:$49.0万
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财政年份:2014
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负责人:Ming Li
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依托单位:
WSC-Category 1 Collaborative Proposal: Coupled Multi-scale Economic, Hydrologic, and Estuarine Modeling to Assess Impacts of Climate Change on Water Quality Management
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批准号:1360285
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项目类别:Standard Grant
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资助金额:$12.0万
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财政年份:2014
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负责人:Ming Li
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依托单位:
Sand Transport under Irregular and Breaking Waves
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批准号:EP/J005541/1
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项目类别:Research Grant
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资助金额:$20.69万
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财政年份:2012
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负责人:Ming Li
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依托单位:
海外基金