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基于自然的城市雨水管理解决方案的选址:一种结合 GIS 和多准则分析的方法。

Site selection for nature-based solutions for stormwater management in urban areas: An approach combining GIS and multi-criteria analysis.

机构信息

Federal University of Technology - Paraná, Av. Dos Pioneiros, 3131, 86036-370, Londrina, Brazil; Department of Geography, State University of Londrina - PR, Highway Celso Garcia Cid, PR-445, Km 380 - University Campus Londrina Paraná - Brazil, Av. Pres. Antônio Carlos, 6627, 31270-901, Belo Horizonte, Brazil.

Federal University of Technology - Paraná, Av. Dos Pioneiros, 3131, 86036-370, Londrina, Brazil; Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Av. Pres. Antônio Carlos, 6627, 31270-901, Belo Horizonte, Brazil.

出版信息

J Environ Manage. 2024 May;359:120999. doi: 10.1016/j.jenvman.2024.120999. Epub 2024 Apr 26.

DOI:10.1016/j.jenvman.2024.120999
PMID:38677227
Abstract

In recent years, particularly following the definition of the UN Sustainable Development Goals (SDGs) for 2030, Nature-Based Solutions (NBS) have gained considerable attention, capturing the interest of both the scientific community and policymakers committed to addressing urban environmental issues. However, the need for studies to guide decision-makers in identifying suitable locations for NBS implementation within urban stormwater management is evident. To address this gap, the present study employs a methodological approach grounded in multi-criteria analysis integrated with Geographic Information Systems (GIS) to identify areas with potential for NBS implementation. In this process, ten NBS were proposed and tested in the drainage area of a shallow tropical urban lake in Londrina, southern Brazil. Additionally, the study investigates areas hosting lower-income populations, a relevant aspect for public managers given the diverse economic subsidies required to implement NBS. Furthermore, the study incorporates a preliminary analysis that evaluates the potential ecosystem benefits to determine the most suitable NBS for a specific site. The result shows that all the ten analyzed NBS were deemed suitable for the study area. Rain barrels had the highest percentage coverage in the study area (37.1%), followed by tree pits (27.9%), and rain gardens (25.4%). Despite having the highest distribution in the basin area, rain barrels exhibited only moderate ecosystem benefits, prompting the prioritization of other NBS with more significant ecological advantages in the final integrated map. In summary, the methodology proposed showed to be a robust approach to selecting optimal solutions in densely populated urban areas.

摘要

近年来,特别是在联合国可持续发展目标(SDGs)于 2030 年确定后,基于自然的解决方案(NBS)得到了广泛关注,引起了科学界和致力于解决城市环境问题的政策制定者的兴趣。然而,需要进行研究,以便为决策者提供指导,以确定在城市雨水管理中实施 NBS 的合适地点。为了解决这一差距,本研究采用了一种基于多标准分析的方法,该方法与地理信息系统(GIS)相结合,以确定具有实施 NBS 潜力的区域。在这个过程中,提出并测试了十种 NBS,这些 NBS 位于巴西南部隆德里纳市一个浅热带城市湖泊的排水区。此外,该研究还调查了低收入人群居住的地区,这对于公共管理者来说是一个相关的方面,因为实施 NBS 需要各种经济补贴。此外,该研究还进行了初步分析,评估了潜在的生态系统效益,以确定特定地点最适合的 NBS。结果表明,十种分析的 NBS 都适合研究区域。雨水桶在研究区域的覆盖比例最高(37.1%),其次是树坑(27.9%)和雨水花园(25.4%)。尽管在流域区域的分布最高,但雨水桶仅具有适度的生态系统效益,这促使在最终的综合地图中优先考虑其他具有更显著生态优势的 NBS。总之,所提出的方法学被证明是一种在人口密集的城市地区选择最佳解决方案的稳健方法。

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