Long-term prediction of climate change impacts on indoor particle pollution – case study of a residential building in Germany†

IF 3.9 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL Environmental Science: Processes & Impacts Pub Date : 2025-01-28 DOI:10.1039/D4EM00663A
Jiangyue Zhao, Tunga Salthammer, Alexandra Schieweck, Erik Uhde and Tareq Hussein
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Abstract

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.

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气候变化对室内颗粒污染影响的长期预测——以德国某住宅楼为例。
极端天气现象在自然界中日益增多,并从以下几个方面影响室内空气质量,特别是颗粒物浓度:(1)环境污染物浓度的变化;(2)气相反应产生的室内颗粒物;(3)建筑特性;(4)颗粒物动态过程;(5)居住行为。然而,只有少数研究审查了未来室内颗粒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造成的健康风险。因此,这项工作的重点是预期的长期和短期浓度的空气中的颗粒在住宅。为此,我们将基于计算机的室内空气质量气候变化(IAQCC)模型应用于住宅建筑,作为案例研究的一部分。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)公布的共享社会经济路径(SSP)情景。假设居民的活动保持不变,我们的长期模拟(到2100年)表明,室外颗粒物浓度的下降将补偿室内化学驱动的颗粒物增加,导致室内颗粒物浓度总体呈下降趋势。然而,室外空气污染事件,如沙尘暴和臭氧事件,可以在短期内显著影响室内空气质量。很明显,在极端天气条件下,需要采取措施来预防和减少室外污染物的影响。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。
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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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