Newton Fund: Applying nature-based coastal defence to the world's largest urban area - from science to practice

牛顿基金：将基于自然的海岸防御应用于世界上最大的城市地区——从科学到实践

• 批准号: EP/R024553/1
• 负责人: Ming Li
• 金额: $ 14.22万
• 依托单位: University of Liverpool
• 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
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR024553%2F1
• 关键词: Newton; Fund; Applying; nature; based

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.

项目摘要：基于自然的沿海防御解决方案越来越被认为是针对气候变化的常规工程方法更可持续的替代方案。在进行快速城市化的三角洲，采用基于自然的解决方案可以导致与其他土地用途（例如土地界。对于优化的管理，基于自然解决方案需要多少空间的问题很重要。但是，我们目前的知识不足以依赖生态系统大小的防御价值和弹性。此外，我们还缺乏对沿海防御生态系统创造的见解，因为先前的恢复工作的成功率较低。当前的提案旨在发展基于过程的生态系统规模要求的理解和预测模型，以及如何使用世界上最大的城市区域，Pearl River Delta，中国的珀尔河Delta，作为模型系统，为沿海防御创建生态系统。在与气候变化和土地划定的相反的情况下，将进行三角尺度的红树林监测和流体动力建模，以研究湿地区域的变化和防御生态系统空间的优化。这项大型研究还将为地方规模的实验和建模提供了较高的边界条件。将进行一系列使用新工具的实验，以改善我们对影响红树林防御价值和横向动力学的过程的见解。使用挖泥材料和牡蛎珊瑚礁促进红树林的创新措施也将通过实验进行测试。局部规模的模型将结合获得的实验知识，以预测红树林生物地球化动力学并为管理提供指南。开发的模型和知识将直接用于与我们的合作伙伴合作的飞行员生态型项目的设计。英国申请人将领导工作任务1：湿地区域监测/流体动力建模。这项工作任务将对生物物理条件进行概览，包括珍珠河三角洲及其区域环境的形态和土地利用方面。英国团队将针对珍珠河三角洲（PRD）实施高分辨率的非结构性网格模型（FVCOM），用于流体动力学，波浪和沉积物运输，这将提供较大规模的大气和海洋边界条件之间的接口，以及较小的大规模边界条件以及较小规模的过程研究以及我们的荷兰和中国伙伴进行的生态系统模型。我们还将通过优化土地利用，机构和机制来实现更可持续的城市化，探索生态动态设计选项，以提供自然的机会，以提供自然界的机会，以提供城市发展过程的一部分，并减少城市足迹的一部分，以提供自然的一部分，并降低环境评估系统，从而为您提供自然界的一部分，从而探索了生态动态设计的机会，从而探索了生态动态设计的机会，从而探索了生态动态设计的机会，从而解决了焦点区域规划和灾难管理，我们还将解决焦点区域1（有弹性的城市规划和管理）中的一些目标。我们将探索使用管理决策工具的机会，例如EPSRC Arcoes项目中最近开发的决策工具。

项目成果

Tide-Surge Interaction in the Pearl River Estuary: A Case Study of Typhoon Hato

• DOI: 10.3389/fmars.2020.00236
• 发表时间: 2020-04
• 作者: P. Zheng;Ming Li;Caixia Wang;J. Wolf;Xue'en Chen;M. De Dominicis;P. Yao;Zhan Hu

Development, calibration and validation of a phase-averaged model for cross-shore sediment transport and morphodynamics on a barred beach

• 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

Future Interactions Between Sea Level Rise, Tides, and Storm Surges in the World's Largest Urban Area

• 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