来自建筑材料的室内挥发性有机化合物的长期和短期度的数值预测模型
Lexiang Wang1,2, Wei Yu1,2, Haixia Zhou1,2
1Joint International Research Laboratory of Green Buildings and Built Environments, Ministry of Education, Chongqing University, Chongqing, People's Republic of China.
Environmental technology
|June 5, 2024
概括
这项研究引入了一种新的数值模型,用于预测室内挥发性有机化合物 (VOC) 度,考虑多种材料和季节性变化. 该模型提高了估计长期VOC暴露和相关健康风险的准确性.
科学领域:
- 环境科学 环境科学
- 室内空气质量 室内空气质量
- 建筑科学 建筑科学
背景情况:
- 现有的挥发性有机化合物 (VOC) 排放模型在与多种室内材料的同时释放相斗争.
- 准确预测整个VOC释放周期,特别是在不同的条件下,仍然是一个挑战.
研究的目的:
- 建立室内VOC度的长期和短期数值预测模型.
- 结合一个减弱系数 (θ) 来描述受时间和季节因素影响的VOC衰变.
- 开发用于评估环境健康风险的暴露剂量整合算法.
主要方法:
- 在不同的季节条件下,在环境仓库中进行实验测试,以确定衰减系数 (θ).
- 数值解决方案,以绘制室内污染物度随时间的推移,使用开发的模型和 θ.
- 根据模型的预测,对各种季节条件的VOC含量进行校正.
主要成果:
- 成功建立了室内VOC度的数值预测模型,其中包含一个衰减系数.
- 该模型与之前的研究和实验数据相比,显示出更好的预测性能.
- 为环境健康风险评估提出了暴露剂量整合算法.
结论:
- 开发的数值模型在长期和短期内预测室内VOC度时提供了更高的准确性.
- 该模型有效考虑了多种建筑材料和季节性变化的对VOC衰变的影响.
- 建议的风险评估算法为评估与室内VOC暴露相关的健康影响提供了有价值的工具.
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