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利用基于自然的解决方案进行雨洪适应:综合生物物理-经济评估

Pluvial flood adaptation using nature-based solutions: An integrated biophysical-economic assessment.

作者信息

Quagliolo Carlotta, Roebeling Peter, Matos Fabio, Pezzoli Alessandro, Comino Elena

机构信息

DIST - Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino and Università degli Studi di Torino, Torino 10125, Italy.

Centre for Environmental and Marine Studies (CESAM), Department of Environment and Planning (DAO), University of Aveiro, Aveiro 3810-193, Portugal.

出版信息

Sci Total Environ. 2023 Dec 1;902:166202. doi: 10.1016/j.scitotenv.2023.166202. Epub 2023 Aug 9.

Abstract

Globally, flood events are considered the costliest natural hazard. Changes in precipitation patterns and large areas of impervious surfaces in urban environments are increasing the sensitivity of these systems to runoff production. At the same time, projected global sea-level rise may further increase the frequency of compound flooding due to simultaneous storm surge, sea-level rise and pluvial runoff that cause vast socio-economic and ecological impacts to coastal cities. In this context, over the last decade, the role of Nature-Based Solutions (NBS) has been recognised to support climate change adaptation by addressing ideas of multi-functionality, non-linearity and heterogeneity in urban design. Thus, increasing awareness about NBS benefits increases the willingness to accept these solutions. However, empirical evidence of NBS effectiveness at the urban catchment scale is still subject to debate. This study develops a spatial biophysical-economic framework that allows for the integrated assessment of NBS flood risk mitigation impacts, costs and benefits in the face of climate change, combining the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, benefit transfer methods and Geographic Information System (GIS) tools. Specifically, the InVEST Urban Flood Risk Mitigation model was used to assess the biophysical impacts of NBS on urban pluvial flood risk, benefit-transfer methods were used to evaluate the economic implications of such solutions, and GIS was used to integrate and map biophysical impacts and economic implications. For the case of the coastal lagoon city of Aveiro (Portugal), NBS scenarios of green roofs and bioswales under current and future climate conditions were assessed. The main findings of this study show that green roofs scenarios would save 32 % of the flood damages to buildings and infrastructures every year, while bioswales help save only 0.1 %. Moreover, green roofs implementation provides larger benefits in the future climate scenario (representative concentration pathway - RCP - 4.5). The findings confirm the extent to which knowledge on NBS benefits and costs is partial and uncertain, thus requiring constant progress through biophysical-economic assessment to support an evolutive decision making process in climate adaptation planning.

摘要

在全球范围内,洪水事件被认为是造成损失最大的自然灾害。降水模式的变化以及城市环境中大面积的不透水表面正在增加这些系统对径流产生的敏感性。与此同时,预计全球海平面上升可能会进一步增加复合洪水的发生频率,这种洪水是由风暴潮、海平面上升和雨洪径流同时作用引起的,会给沿海城市带来巨大的社会经济和生态影响。在这种背景下,在过去十年中,基于自然的解决方案(NBS)的作用已得到认可,它通过在城市设计中引入多功能性、非线性和异质性的理念来支持气候变化适应。因此,对NBS益处的认识不断提高,人们接受这些解决方案的意愿也随之增加。然而,NBS在城市集水区尺度上有效性的实证证据仍存在争议。本研究开发了一个空间生物物理 - 经济框架,该框架结合了生态系统服务与权衡综合评估(InVEST)模型、效益转移方法和地理信息系统(GIS)工具,能够在气候变化背景下对NBS减轻洪水风险的影响、成本和效益进行综合评估。具体而言,使用InVEST城市洪水风险缓解模型评估NBS对城市雨洪洪水风险的生物物理影响,利用效益转移方法评估此类解决方案的经济影响,并使用GIS整合和绘制生物物理影响及经济影响。以葡萄牙沿海泻湖城市阿威罗为例,评估了当前和未来气候条件下绿色屋顶和生物滞留池这两种NBS情景。本研究的主要结果表明,绿色屋顶情景每年可节省32%的建筑物和基础设施洪水损失,而生物滞留池仅能帮助节省0.1%。此外,在未来气候情景(代表性浓度路径 - RCP - 4.5)下实施绿色屋顶能带来更大的效益。研究结果证实了关于NBS效益和成本的知识在很大程度上是不完整和不确定的,因此需要通过生物物理 - 经济评估不断取得进展,以支持气候适应规划中的渐进式决策过程。

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