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基于自然的解决方案在极端降雨事件下降低洪水风险的潜力。

Nature-based solutions potential for flood risk reduction under extreme rainfall events.

作者信息

Manes Stella, Vale Mariana M, Pires Aliny P F

机构信息

Graduate Program in Ecology (PPGE/UFRJ), Federal University of Rio de Janeiro (UFRJ), Av. Carlos Chagas Filho, 373, Centro de Ciências da Saúde, Bloco A, Rio de Janeiro, RJ, 21941-590, Brazil.

International Institute for Sustainability (IIS), Rio de Janeiro, RJ, Brazil.

出版信息

Ambio. 2024 Aug;53(8):1168-1181. doi: 10.1007/s13280-024-02005-8. Epub 2024 Apr 5.

Abstract

Climate change will substantially increase extreme rainfall events, especially in the Tropics, enhancing flood risks. Such imminent risks require climate adaptation strategies to endure extreme rainfall and increase drainage systems. Here, we evaluate the potential of nature-based solutions by using an ecosystem service modeling approach, evaluating the impact of extreme rainfall events on flood risks in a large urban area and with a real-world land recovery plan. We evaluate the cost-effectiveness of four different land recovery scenarios and associated co-benefits, based on a gradient increase in area recovered and cost of implementation. Although the scenarios reveal increasing flood risk reduction and co-benefits along with greater proportion of land recovery, the most cost-effective scenario was the one with an intermediate land recovery where 30% of the study area would be reforested. We emphasize the striking benefits of nature-based solutions for flood risk reduction in cities, considering landscape scale and stakeholders' needs.

摘要

气候变化将大幅增加极端降雨事件,尤其是在热带地区,从而加剧洪水风险。此类紧迫风险需要气候适应策略来抵御极端降雨并改善排水系统。在此,我们通过使用生态系统服务建模方法来评估基于自然的解决方案的潜力,评估极端降雨事件对一个大型城市地区洪水风险的影响,并结合一项实际的土地恢复计划。我们基于恢复面积和实施成本的梯度增加,评估了四种不同土地恢复方案的成本效益及相关协同效益。尽管这些方案显示,随着土地恢复比例的提高,洪水风险降低和协同效益也在增加,但最具成本效益的方案是进行中等程度土地恢复的方案,即研究区域的30%将重新造林。考虑到景观尺度和利益相关者的需求,我们强调基于自然的解决方案在降低城市洪水风险方面的显著益处。

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Principles for urban nature-based solutions.城市自然解决方案原则。
Ambio. 2022 Jun;51(6):1388-1401. doi: 10.1007/s13280-021-01685-w. Epub 2022 Jan 17.
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The global tree restoration potential.全球树木恢复潜力。
Science. 2019 Jul 5;365(6448):76-79. doi: 10.1126/science.aax0848.

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