Micro-climate of nature-based solutions in stockholm royal seaport

Artur Branny , Erik Andersson , Timon McPhearson
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Abstract

Extreme weather events are on the rise, increasingly impacting cities and their urban populations. In response, urban greening and nature-based solutions (NbS) have emerged as key approaches for reducing risks from multiple types of extreme climate and weather events while making a positive impact on urban social and environmental inequities. NbS interventions are high on urban agendas worldwide, but in practice, they often are hyper-local and contain novel ecological entities, with unknown capacity to deal with different pressures and disturbances. Thus, there is an urgent need to build knowledge around how, when, and under what circumstances different NbS can be expected to perform their functions as intended. One step towards building, and then constantly updating, such knowledge is to establish practices for monitoring and evaluating NbS.
In this study, we showcase a novel approach based on wireless sensor technology that harnesses hyperlocal data in real time to understand the direct impact of NbS on the local climate across seasonal variation and under extreme weather conditions. We aimed to quantify to what extent NbS are contributing to ecosystem services such as cooling.
To answer this, we installed eighteen microsensor weather stations across the biggest and most recent sustainable urban development in Sweden - Stockholm Royal Seaport. We investigated five distinct types of NbS - forest parks, green courtyards, rain gardens, green roofs, and lawns, during the summer of 2021 to examine whether real-time temperature changes varied between NbS site types. Despite large differences in vegetation and urban landscape, we did not observe a clear trend in air temperature differences between sites, even for experimental reference sites. Our analysis reveals that forest parks are the coolest and the green roofs are the warmest green places overall. The largest differences in daytime temperatures reached up to 2 °C difference between sites in summer, which gradually disappeared during cooler months. Our results suggest that regional weather dynamics dominate over the Stockholm Royal Seaport's micro-climate, leading to a relative similarity in NbS cooling performances. Though the district overall may be too homogeneous to affect air temperature variation and local NbS too small to alter the regional weather patterns, we nonetheless conclude that ecosystem services of NbS should not be taken for granted. Results suggest that NbS interventions, almost regardless of type, need to be considered and implemented at larger district scales to add up to the substantial total green cover needed to impact local and regional temperatures.
斯德哥尔摩皇家海港基于自然的微气候解决方案
极端天气事件呈上升趋势,对城市及其城市人口的影响越来越大。为此,城市绿化和基于自然的解决方案(NbS)已成为减少多种极端气候和天气事件风险的关键方法,同时对城市社会和环境不公平现象产生积极影响。NbS干预措施在全球城市议程中占据重要地位,但在实践中,它们往往是超地方性的,包含新的生态实体,具有未知的应对不同压力和干扰的能力。因此,迫切需要建立有关如何、何时以及在何种情况下不同国家统计局可以预期履行其职能的知识。建立并不断更新这类知识的一个步骤是建立监测和评估国家统计局的做法。在这项研究中,我们展示了一种基于无线传感器技术的新方法,该方法实时利用超局部数据来了解NbS在季节变化和极端天气条件下对当地气候的直接影响。我们的目标是量化NbS对生态系统服务(如降温)的贡献程度。为了回答这个问题,我们在瑞典最大和最新的可持续城市发展——斯德哥尔摩皇家海港安装了18个微传感器气象站。我们在2021年夏季调查了五种不同类型的NbS——森林公园、绿色庭院、雨花园、绿色屋顶和草坪,以研究NbS站点类型之间的实时温度变化是否存在差异。尽管植被和城市景观差异很大,但我们没有观察到不同地点之间气温差异的明显趋势,即使对于实验参考地点也是如此。我们的分析表明,森林公园是最凉爽的,而绿色屋顶是最温暖的绿色地方。夏季各站点日间温差最大可达2°C,在较冷的月份逐渐消失。我们的研究结果表明,区域天气动力学在斯德哥尔摩皇家海港的微气候中占主导地位,导致NbS冷却性能相对相似。尽管该地区整体上可能过于均匀而无法影响气温变化,而当地的国家统计局太小而无法改变区域天气模式,但我们得出的结论是,国家统计局的生态系统服务不应被视为理所当然。结果表明,NbS干预措施,无论类型如何,都需要在更大的区域尺度上加以考虑和实施,以增加影响当地和区域温度所需的大量总绿化覆盖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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