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Long-term prediction of climate change impacts on indoor particle pollution - case study of a residential building in Germany.
Environmental Science: Processes & Impacts ( IF 4.3 ) Pub Date : 2025-02-11 , DOI: 10.1039/d4em00663a
Jiangyue Zhao 1 , Tunga Salthammer 1 , Alexandra Schieweck 1 , Erik Uhde 1 , Tareq Hussein 2, 3
Environmental Science: Processes & Impacts ( IF 4.3 ) Pub Date : 2025-02-11 , DOI: 10.1039/d4em00663a
Jiangyue Zhao 1 , Tunga Salthammer 1 , Alexandra Schieweck 1 , Erik Uhde 1 , Tareq Hussein 2, 3
Affiliation
Extreme weather phenomena are increasing in nature, which affects indoor air quality and especially particle concentrations in several ways: (1) changes in ambient pollutant concentrations, (2) indoor particle formation from gas-phase reactions, (3) building characteristics, (4) particle dynamic processes, and (5) residential behavior. However, there are only a few studies that have examined future indoor particle concentrations in relation to climate change, even though indoor spaces are intended to protect people from local climate influences and health risks posed by pollutants. Consequently, this work focuses on the expected long- and short-term concentrations of airborne particles in residences. For this purpose, we applied the computer-based Indoor Air Quality Climate Change (IAQCC) model to a residential building as part of a case study. The selected building physics data represent a large part of the German building structure. The long-term prediction is based on the shared socio-economic pathway (SSP) scenarios published by the Intergovernmental Panel on Climate Change (IPCC). When assuming that the activities of residents remain unchanged, our long-term simulations (by 2100) show that the decreasing outdoor particle concentration will compensate for the indoor chemistry driven particle increase, leading to an overall decreasing trend in the indoor particle concentration. Nevertheless, outdoor air pollution events, such as dust storms and ozone episodes, can significantly affect indoor air quality in the short term. It becomes clear that measures are needed to prevent and minimize the effects of outdoor pollutants under extreme weather conditions. This also includes the equipment of buildings with regard to appropriate construction design and smart technologies in order to ensure the protection of human health.
中文翻译:
气候变化对室内颗粒物污染影响的长期预测 - 德国住宅楼的案例研究。
极端天气现象在自然界中不断增加,它以多种方式影响室内空气质量,尤其是颗粒物浓度:(1) 环境污染物浓度的变化,(2) 气相反应形成室内颗粒物,(3) 建筑特性,(4) 颗粒物动力学过程,以及 (5) 住宅行为。然而,只有少数研究考察了未来室内颗粒物浓度与气候变化的关系,尽管室内空间旨在保护人们免受当地气候影响和污染物带来的健康风险。因此,这项工作的重点是住宅中空气中颗粒物的预期长期和短期浓度。为此,我们将基于计算机的室内空气质量气候变化 (IAQCC) 模型作为案例研究的一部分应用于住宅建筑。所选的建筑物理数据代表了德国建筑结构的很大一部分。长期预测基于政府间气候变化专门委员会 (IPCC) 发布的共享社会经济路径 (SSP) 情景。当假设居民的活动保持不变时,我们的长期模拟(到 2100 年)表明,室外颗粒物浓度的降低将补偿室内化学驱动的颗粒物增加,从而导致室内颗粒物浓度呈整体下降趋势。然而,室外空气污染事件,如沙尘暴和臭氧事件,可以在短期内显着影响室内空气质量。很明显,需要采取措施来防止和尽量减少极端天气条件下室外污染物的影响。 这还包括建筑物的设备,包括适当的建筑设计和智能技术,以确保保护人类健康。
更新日期:2025-02-11
中文翻译:

气候变化对室内颗粒物污染影响的长期预测 - 德国住宅楼的案例研究。
极端天气现象在自然界中不断增加,它以多种方式影响室内空气质量,尤其是颗粒物浓度:(1) 环境污染物浓度的变化,(2) 气相反应形成室内颗粒物,(3) 建筑特性,(4) 颗粒物动力学过程,以及 (5) 住宅行为。然而,只有少数研究考察了未来室内颗粒物浓度与气候变化的关系,尽管室内空间旨在保护人们免受当地气候影响和污染物带来的健康风险。因此,这项工作的重点是住宅中空气中颗粒物的预期长期和短期浓度。为此,我们将基于计算机的室内空气质量气候变化 (IAQCC) 模型作为案例研究的一部分应用于住宅建筑。所选的建筑物理数据代表了德国建筑结构的很大一部分。长期预测基于政府间气候变化专门委员会 (IPCC) 发布的共享社会经济路径 (SSP) 情景。当假设居民的活动保持不变时,我们的长期模拟(到 2100 年)表明,室外颗粒物浓度的降低将补偿室内化学驱动的颗粒物增加,从而导致室内颗粒物浓度呈整体下降趋势。然而,室外空气污染事件,如沙尘暴和臭氧事件,可以在短期内显着影响室内空气质量。很明显,需要采取措施来防止和尽量减少极端天气条件下室外污染物的影响。 这还包括建筑物的设备,包括适当的建筑设计和智能技术,以确保保护人类健康。