气候变化领域集成服务门户(CCPortal): Towards improved models for indoor air chemistry: A Monte Carlo simulation study

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DOI	10.1016/j.atmosenv.2021.118625
	Towards improved models for indoor air chemistry: A Monte Carlo simulation study
	Kruza M.; Shaw D.; Shaw J.; Carslaw N.
发表日期	2021
ISSN	1352-2310
卷号	262
英文摘要	Model predictions are sensitive to a number of complex and often coupled input parameters. Some of these parameters have a wide range of acceptable values from literature and therefore choosing the appropriate value is non-trivial. In this paper, we use the INdoor Detailed Chemical Model (INDCM) to perform a Monte Carlo analysis, in which a wide but realistic range of model input parameter values is stochastically varied over 1000 model runs. The model output defines the likely range of the model performance, and directly correlates input parameter values with predicted indoor air species concentrations. The air exchange rate or the ozone deposition velocity onto internal materials such as painted walls, control the predicted concentrations of ozone, hydroxyl and peroxy radicals and peroxyacetyl nitrate species for our study conditions. The transmission of UV light from outdoors showed the strongest Spearman's rank positive correlation coefficients with predicted hydroxyl radical (0.92), and organic nitrate (0.95) concentrations. The deposition rate of ozone onto painted walls shows the strongest negative correlations with 4-oxopentanal (−0.86) and acetic acid (−0.83). Reducing the uncertainty around transmission of UV light indoors and ozone deposition rates onto surfaces reduces the model uncertainty by up to 70–80% for ozone and hydroxyl radical concentrations. Some species concentrations showed complex relationships with the various input parameters. For instance, maximum isoprene concentrations decreased with air exchange rate, but minimum isoprene concentrations were largely invariant. Emissions from human breath ensured that isoprene was always present in our model runs. However, its removal rate varied with the air exchange rate, which affected the concentrations of ozone and hydroxyl radicals (which can both chemically remove isoprene), and the direct removal rate by ventilation. Finally, we used our results to understand the 95% confidence bounds around our median predicted concentrations. For hydroxyl radicals, these were ±60% of the median value. © 2021 The Author(s)
关键词	Hydroxyl radical INDCM Indoor air chemistry Input parameters Monte Carlo analysis
语种	英语
scopus关键词	Air; Chemical analysis; Deposition rates; Intelligent systems; Nitrates; Ozone; Uncertainty analysis; Air exchange rates; Hydroxyl radicals; Indoor air chemistry; Indoor detailed chemical model; Input parameter; Monte carlo analysis; Painted walls; Removal rate; Species concentration; UV-light; Monte Carlo methods; acetic acid; atmospheric chemistry; deposition velocity; exchange rate; hydroxyl radical; indoor air; Monte Carlo analysis; peroxyacetyl nitrate; simulation
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248278
作者单位	Department of Environment and Geography, University of York, Wentworth Way, York, YO10 5NG, United Kingdom; Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
推荐引用方式 GB/T 7714	Kruza M.,Shaw D.,Shaw J.,et al. Towards improved models for indoor air chemistry: A Monte Carlo simulation study[J],2021,262.
APA	Kruza M.,Shaw D.,Shaw J.,&Carslaw N..(2021).Towards improved models for indoor air chemistry: A Monte Carlo simulation study.ATMOSPHERIC ENVIRONMENT,262.
MLA	Kruza M.,et al."Towards improved models for indoor air chemistry: A Monte Carlo simulation study".ATMOSPHERIC ENVIRONMENT 262(2021).