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：基于自然的海岸防御解决方案越来越被认为是应对气候变化的传统工程方法的更可持续的替代方案。在经历快速城市化的三角洲，应用基于自然的解决方案可能会导致与其他土地用途的空间竞争，例如土地复垦。为了优化管理，基于自然的解决方案需要多少空间的问题很重要。然而，我们目前对生态系统规模相关的防御价值和恢复力的了解不足。此外，我们缺乏对海防生态系统创建的深入了解，因为以前的恢复工作成功率较低。当前的提案旨在开发基于过程的生态系统规模要求的理解和预测模型，以及如何创建海防生态系统，利用以世界上最大的城市地区中国珠江三角洲为典范体系。将进行三角洲规模的红树林面积监测和水动力建模，以研究湿地面积变化和防御生态系统空间的优化，在气候变化和土地开垦的对比情景下。这项大规模研究还将为当地的边界条件提供支持。规模化实验和建模。将使用新型仪器进行一系列实验，以提高我们对影响红树林防御价值和横向动态的过程的认识。利用疏浚材料和牡蛎礁促进红树林种植的创新措施也将进行实验测试。局部模型将结合所获得的实验知识来预测红树林生物地貌动态并为管理提供指导。开发的模型和知识将直接应用于与我们的合作伙伴合作的试点生态堤坝项目的设计。英国申请人对该项目的拟议贡献摘要：研究的重点是沿海地区管理，包括管理沉积物和基于自然的防洪。英国申请人将领导工作任务 1：湿地面积监测/水动力建模。这项工作任务将概述珠江三角洲及其区域环境的生物物理条件，包括形态和土地利用方面。英国团队将为珠江三角洲（PRD）实施高分辨率非结构化网格模型（FVCOM），用于流体动力学、波浪和沉积物输送，该模型将提供大尺度大气和海洋边界条件与小尺度过程之间的接口我们的荷兰和中国合作伙伴将进行研究和生态系统建模。我们还将实现重点领域 1（弹性城市规划和管理）中的一些目标，即通过优化土地利用、机构和机制以实现更可持续的城市化，将空间规划和灾害管理相结合，探索生态动态设计方案，为自然提供机会作为城市发展进程的一部分，减少城市足迹并制定绩效评估系统以减轻环境影响。我们将探索应用管理决策工具的机会，例如 EPSRC ARCoES 项目最近开发的工具。

项目成果

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

开发、校准和验证禁止海滩跨岸沉积物输送和形态动力学的相平均模型

• DOI: 10.1016/j.csr.2023.104989
• 发表时间: 2023-04-01
• 期刊: Continental Shelf Research
• 影响因子: 2.3
• 作者: P. Zheng;G. Gumbira;Ming Li;Joep van der Z;en;en;D. van der A;J. J. Van der Werf;Xue'en Chen;Xiaonan Tang
• 通讯作者: Xiaonan Tang

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

世界最大城市地区海平面上升、潮汐和风暴潮之间的未来相互作用

• DOI: 10.1029/2020gl087002
• 发表时间: 2020-02-17
• 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: Zhan Hu

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

珠江口潮涌相互作用：以台风“天鸽”为例

• DOI: 10.3389/fmars.2020.00236
• 发表时间: 2020-04-19
• 期刊: Current Journal of Applied Science and Technology
• 作者: P. Zheng;Ming Li;Caixia Wang;J. Wolf;Xue'en Chen;M. De Dominicis;P. Yao;Zhan Hu
• 通讯作者: Zhan Hu