[Viet Nam] Valuing the benefits of blue/green infrastructure for flood resilience, natural capital and urban development in Viet Nam
[Viet Nam] Valuing the benefits of blue/green infrastructure for flood resilience, natural capital and urban development in Viet Nam
批准号:
NE/S002871/1
负责人:
Tobias Borger
金额:
$26.7万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
洪水是最具破坏性和代价最高的水文气象灾害,每年影响全球数百万人。在越南,由于城市快速发展和气候变化,低洼沿海城市,特别是河流三角洲的城市面临着更大的洪水风险和脆弱性。为了降低城市地区的洪水风险,近十年来,人们越来越重视蓝/绿色基础设施(BGI)的潜力,例如天然和人造湿地、植被河岸和恢复的洪泛区,以降低洪水风险并提供额外的好处,例如控制水污染物、提供娱乐机会、改善空气质量和提高对其他压力源的适应能力,例如热浪和噪音污染。然而,尽管人们对BGI在洪水风险管理方面的作用越来越感兴趣,但过去对这些措施的有效性和可行性的评估大多是零碎的,侧重于这些措施的个别影响(例如,减少洪水风险,提供城市绿色空间)。这种部门评估无法解释单个装置的多重影响之间的潜在权衡或互补性,更不用说华大基因的整个网络了。因此,ValBGI寻求开发一个多学科的,知情的评估框架,以评估BGI降低洪水风险和改善城市自然资本的有效性。因此,该项目研究了BGI在短期和长期城市发展中的作用,并应用于越南坎托市。这一整体框架整合了许多学科,不仅遵循相互关联的多学科研究议程,而且还推动了所涉各个学科的最新学术水平。这包括主要利益相关者参与研究过程,共同开发解决方案并向关键决策者传播证据;在城市规模上对洪水和BGI进行创新的高分辨率建模;对生态系统服务提供的变化进行空间明确的评估和估值,从而量化BGI对城市自然资本的投资。为了实现这些目标,该项目包括四个工作包,作为多学科评估框架内相互关联的组成部分:(1)ValBGI的业务骨干是一个工作包,建立了一个利益相关者小组,与研究团队一起从始至终工作。该部分评估(并在必要时促进)地方和区域城市规划者和其他关键利益相关者对基于自然过程的BGI备选方案的认识。(2)第二个工作包审查了坎托和越南湄公河三角洲的现有洪水模型,并开发了一个新的高分辨率建模系统,以评估选定的BGI措施在减少洪水风险方面的有效性。(3)在第三个工作包中,将评估和绘制BGI措施实施后生态系统服务提供的变化。(4)在第四个工作包中,BGI措施的成本和效益(在减少洪水风险和改善城市自然资本方面)通过估值进行量化,并对BGI情景进行成本效益分析。ValBGI的持续利益相关者参与确保决策者了解和吸收研究成果,以最大限度地发挥所产生证据的影响。此外,整体方法可以更好地理解减少洪水风险和改善BGI产生的自然资本之间的潜在权衡和互补性。探索BGI的所有同时影响有利于为环境管理者和城市规划者提供支持规划决策的完整信息。
英文摘要
Flooding is the most damaging and costly hydrometeorological hazard affecting millions of people globally every year. In Viet Nam, low-lying coastal cities, particularly in river deltas, face increased flood risk and vulnerability due to rapid urban development and climate change. To reduce flood risk in urban areas, the recent decade has seen increased appreciation of the potential of Blue/Green Infrastructure (BGI), such as natural and man-made wetlands, vegetated river banks and restored floodplains, to reduce flood risk and provide additional benefits, such as controlling water pollutants, providing recreational opportunities, improving air quality and increasing resilience to other stressors, such as heat waves and noise pollution. However, despite the growing interest in BGI in a flood risk management context, assessments of the effectiveness and viability of such measures have in the past been mostly piecemeal, focusing on individual impacts of such measures (e.g. flood risk reduction, provision of urban green space). Such sectorial assessments cannot account for the potential trade-offs or complementarities between the multiple impacts of individual installations, let alone whole networks of BGI. Therefore, ValBGI seeks to develop a multidisciplinary, stakeholder-informed assessment framework for the effectiveness of BGI to reduce flood risk and improve urban natural capital. Thereby, the project examines the role of BGI in short- and long-term urban development, with application to the city of Can Tho, Viet Nam. This holistic framework integrates a number of disciplines and does not only follow an interlinked and multidisciplinary research agenda but also advances the academic state-of-the-art in the individual disciplines involved. This includes the engagement of key stakeholders in the research process to co-develop solutions and disseminate evidence to key decision-makers; innovative high-resolution modelling of flooding and BGI at the city-scale; and spatially explicit assessment and valuation of changes in the provision of ecosystem services enabling the quantification of the investment into urban natural capital effectuated by BGI. To achieve these objectives, the project comprises four work packages which function as interlinked components within the multidisciplinary assessment framework: (1) The operational backbone of ValBGI is a work package that establishes a stakeholder group to work alongside the research team from start to end. This component assesses (and when necessary stimulates) the awareness of alternative natural processes-based BGI options among local and regional urban planners and other key stakeholders. (2) A second work package reviews existing flood models for Can Tho and the Vietnamese Mekong Delta and develops a new high-resolution modelling system to assess the effectiveness of selected BGI measures in reducing flood risk. (3) In the third work package, changes in the provision of ecosystem services following the installation of BGI measures will be assessed and mapped. (4) In the fourth work package costs and benefits of BGI measures (in terms of flood risk reductions and improvements of urban natural capital) are quantified by means of valuation, and cost-benefit analyses of BGI scenarios are conducted. The continuous stakeholder engagement in ValBGI ensures awareness for and uptake of the research outcomes by decision-makers to maximise impact of the evidence produced. Furthermore, the holistic approach provides a better understanding of the potential trade-offs and complementarities between flood risk reduction and improvement of natural capital generated by BGI. Exploring all simultaneous impacts of BGI is beneficial in providing environmental managers and urban planners with a complete array of information for supporting planning decisions.
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DOI:
10.3390/w11102139
发表时间:
2019-09
期刊:
Water
影响因子:
3.4
作者:
[Yunsong Cui;Q. Liang;Gang Wang;Jiaheng Zhao;Jinchun Hu;Yuehua Wang;X. Xia]
通讯作者:
Yunsong Cui;Q. Liang;Gang Wang;Jiaheng Zhao;Jinchun Hu;Yuehua Wang;X. Xia
A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs
基于深度学习 CNN 模型的多尺度测绘方法,用于重建高分辨率城市 DEM
DOI:
10.3390/w12051369
发表时间:
2020-05-01
期刊:
WATER
影响因子:
3.4
作者:
[Jiang, Ling, Hu, Yang, Kabir, Syed Rezwan]
通讯作者:
Kabir, Syed Rezwan
DOI:
10.1016/j.envsoft.2020.104951
发表时间:
2020-12
期刊:
Environ. Model. Softw.
影响因子:
--
作者:
[Jinghua Jiang;Q. Liang;X. Xia;J. Hou]
通讯作者:
Jinghua Jiang;Q. Liang;X. Xia;J. Hou
DOI:
10.1016/j.eap.2022.04.015
发表时间:
2022-05
期刊:
Economic Analysis and Policy
影响因子:
6.5
作者:
[Valeria M. Toledo‐Gallegos;N. My;Tran Huu Tuan;Tobias Börger]
通讯作者:
Valeria M. Toledo‐Gallegos;N. My;Tran Huu Tuan;Tobias Börger
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