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Assessment of occupant-behavior-based indoor air quality and its impacts on human exposure risk: A case study based on the wildfires in Northern California

机译:基于乘员行为的室内空气质量评估及其对人类暴露风险的影响:基于北加州野火的案例研究

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摘要

The recent wildfires in California, U.S., have caused not only significant losses to human life and property, but also serious environmental and health issues. Ambient air pollution from combustion during the fires could increase indoor exposure risks to toxic gases and particles. further exacerbating respiratory conditions. This work aims at addressing existing knowledge gaps in understanding how indoor air quality is affected by outdoor air pollutants during wildfires-by taking into account occupant behaviors (e.g., movement, operation of windows and airconditioning) which strongly influence building performance and occupant comfort. A novel modeling framework was developed to simulate the indoor exposure risks considering the impact of occupant behaviors by integrating building energy and occupant behaviour modeling with computational fluid dynamics simulation. Occupant behaviors were found to exert significant impacts on indoor air flow patterns and pollutant concentrations, based on which, certain behaviors are recommended during wildfires. Further, the actual respiratory injury level under such outdoor conditions was predicted. The modeling framework and the findings enable a deeper understanding of the actual health impacts of wildfires, as well as informing strategies for mitigating occupant health risk during wildfires. (C) 2019 Elsevier B.V. All rights reserved.
机译:美国加利福尼亚州最近发生的野火不仅给人类生命和财产造成重大损失,而且还造成严重的环境和健康问题。火灾期间燃烧产生的环境空气污染可能会增加室内暴露于有毒气体和颗粒的风险。进一步加剧呼吸状况。这项工作旨在解决在理解野火期间室内空气质量如何受到室外空气污染物的影响方面的现有知识空白-考虑到强烈影响建筑物性能和居住舒适度的乘员行为(例如,窗户的移动,窗户和空调的操作)。通过将建筑能耗和乘员行为建模与计算流体动力学模拟相结合,开发了一种新颖的建模框架来模拟考虑乘员行为影响的室内暴露风险。据发现,乘员行为会对室内空气流动模式和污染物浓度产生重大影响,因此,建议在野火期间采取某些行为。此外,预测了在这种户外条件下的实际呼吸伤害水平。建模框架和研究结果使人们能够更深入地了解野火对健康的实际影响,并为减轻野火期间居住者的健康风险提供信息策略。 (C)2019 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《The Science of the Total Environment》 |2019年第10期|1251-1261|共11页
  • 作者单位

    Tsinghua Univ, Inst Publ Safety Res, Dept Engn Phys, Beijing 100084, Peoples R China|Tsinghua Univ, Beijing Key Lab City Integrated Emergency Respons, Beijing 100084, Peoples R China|Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, Berkeley, CA 94720 USA;

    Tsinghua Univ, Inst Publ Safety Res, Dept Engn Phys, Beijing 100084, Peoples R China|Tsinghua Univ, Beijing Key Lab City Integrated Emergency Respons, Beijing 100084, Peoples R China;

    Tsinghua Univ, Inst Publ Safety Res, Dept Engn Phys, Beijing 100084, Peoples R China|Tsinghua Univ, Beijing Key Lab City Integrated Emergency Respons, Beijing 100084, Peoples R China;

    Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, Berkeley, CA 94720 USA;

    Tsinghua Univ, Hefei Inst Publ Safety Res, Hefei 320601, Anhui, Peoples R China;

    Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, Berkeley, CA 94720 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Human exposure risk; Indoor air quality; Occupant behavior; Respiratory injury; NAPA wildfire; Computational fluid dynamics simulation;

    机译:人体暴露风险;室内空气质量;占用行为;呼吸损伤;纳帕野火;计算流体动力学模拟;

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