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气候变化对室内颗粒物污染影响的长期预测——以德国一栋住宅建筑为例

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

作者信息

Zhao Jiangyue, Salthammer Tunga, Schieweck Alexandra, Uhde Erik, Hussein Tareq

机构信息

Fraunhofer WKI, Department of Material Analysis and Indoor Chemistry, Riedenkamp 3, 38108 Braunschweig, Germany.

University of Helsinki, Institute for Atmospheric and Earth System Research (INAR), PL 64, FI-00014, Helsinki, Finland.

出版信息

Environ Sci Process Impacts. 2025 Jun 18;27(6):1688-1703. doi: 10.1039/d4em00663a.

DOI:10.1039/d4em00663a
PMID:39932038
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.

摘要

极端天气现象在本质上日益增多,这从多个方面影响室内空气质量,尤其是颗粒物浓度:(1)环境污染物浓度的变化;(2)气相反应导致的室内颗粒物形成;(3)建筑特性;(4)颗粒物动态过程;(5)居住行为。然而,尽管室内空间旨在保护人们免受当地气候影响以及污染物带来的健康风险,但仅有少数研究探讨了与气候变化相关的未来室内颗粒物浓度。因此,这项工作聚焦于住宅中空气传播颗粒物的预期长期和短期浓度。为此,作为案例研究的一部分,我们将基于计算机的室内空气质量气候变化(IAQCC)模型应用于一栋住宅楼。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。假设居民活动保持不变,我们的长期模拟(到2100年)表明,室外颗粒物浓度的下降将抵消室内化学作用导致的颗粒物增加,从而使室内颗粒物浓度总体呈下降趋势。然而,沙尘暴和臭氧事件等室外空气污染事件在短期内会显著影响室内空气质量。显然,需要采取措施预防并尽量减少极端天气条件下室外污染物的影响。这还包括在建筑设计和智能技术方面对建筑物进行配置,以确保保护人类健康。

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