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首页> 外文期刊>Urban Forestry & Urban Greening >Impacts of nature-based solutions on the urban atmospheric environment: a case study for Eindhoven, The Netherlands
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Impacts of nature-based solutions on the urban atmospheric environment: a case study for Eindhoven, The Netherlands

机译:基于自然的解决方案对城市大气环境的影响 - 以荷兰埃因霍温为例

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Nature-based solutions (NBS) can provide answers to the challenges that urban areas are currently facing, associated with urban densification and climate change. The benefits of NBS are recognized, and include improved quality of life, human health and air quality, amongst others. This study aims to assess how NBS can contribute to temperature attenuation and air quality improvement in the city of Eindhoven (The Netherlands), through the application of the state-of-the-art WRF-Chem online air quality modelling system. The city is thereby characterized in terms of air quality related data, such as climatology, atmospheric emissions and air pollutant concentrations. From this assessment, different NBS were selected according to city aspirations. The WRF-Chem model was applied for baseline and NBS scenarios over the study area with a spatial resolution of 1 km x 1 km and an hourly time resolution for August 2013. The baseline scenario (without NBS) was validated by comparing the model results with monitored data retrieved from the European air quality monitoring database, showing an adequate model performance. The scenario simulations (with NBS) were performed by changing the land use in the model setup, and results were compared with the baseline scenario. Reductions in hourly temperature values of approximately 1 degrees C and reductions in pollutant concentrations, namely nitrogen dioxide (NO2), of approximately 10% were estimated after the application of the NBS in the Eindhoven study area. These results are particularly important to support public planners and decision-makers in understanding the effects and importance of NBS in their planning for more sustainable and resilient cities.
机译:基于自然的解决方案(NBS)可以为城市地区目前面临的与城市密度和气候变化相关的挑战提供答案。国家统计局的好处是公认的,包括改善生活质量、人类健康和空气质量等。本研究旨在评估NBS如何通过应用最先进的WRF Chem在线空气质量建模系统,为埃因霍温市(荷兰)的温度衰减和空气质量改善做出贡献。因此,该城市的特征是与空气质量相关的数据,如气候学、大气排放和空气污染物浓度。从该评估中,根据城市愿望选择了不同的国家统计局。WRF化学模型应用于研究区域的基线和NBS情景,空间分辨率为1 km x 1 km,2013年8月的时间分辨率为每小时一次。通过将模型结果与从欧洲空气质量监测数据库检索的监测数据进行比较,验证了基准情景(无NBS),表明模型性能良好。通过改变模型设置中的土地使用情况进行情景模拟(使用NBS),并将结果与基线情景进行比较。在埃因霍温研究区应用NBS后,估计每小时温度值降低约1摄氏度,污染物浓度(即二氧化氮(NO2))降低约10%。这些结果对于支持公共规划师和决策者理解国家统计局在规划更具可持续性和弹性的城市时的作用和重要性尤为重要。

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