甲醛
室内空气质量
环境科学
污染物
通风(建筑)
蒙特卡罗方法
二氧化碳
室内空气
环境化学
环境工程
统计
化学
气象学
数学
物理
有机化学
作者
Weihui Liang,Bin Zhao,Junjie Liu,Jingjing Pei
标识
DOI:10.1080/23744731.2020.1726698
摘要
Indoor air quality (IAQ) plays a significant role in human health, and CO2 has a long history of use as an IAQ indicator. Formaldehyde is one of the most ubiquitous indoor pollutants with proven adverse health effects. However, formaldehyde sensors are generally expensive, and they are not as accurate as CO2 sensors. Thus, it is important to determine whether CO2 could be used as an indicator for formaldehyde in engineering applications. In this study, indoor CO2 and formaldehyde concentrations in actual Chinese residences under natural and mechanical ventilation were simulated by the Monte Carlo method. The Pearson correlation analyses were also performed. It was found that when emission rate of CO2 is constant, CO2 can act as a good indicator for formaldehyde when the formaldehyde emission rate (mg/h) divided by the emission rate of CO2 (L/h) is smaller than 0.14 and positive correlation occurred between them. However, when the emission rate of CO2 is varied, CO2 may not be used as an indicator for formaldehyde despite their positive correlation.
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