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DOI | 10.1016/j.atmosenv.2021.118272 |
An experiment-based impulse response method to characterize airborne pollutant sources in a scaled multi-zone building | |
Zhuang J.; Li F.; Liu X.; Cai H.; Feng L.; Li X. | |
发表日期 | 2021 |
ISSN | 1352-2310 |
卷号 | 251 |
英文摘要 | Promptly locating the airborne pollutant sources in indoor environments is of great importance for improving air quality and ensuring indoor safety, especially in the context of controlling airborne pathogens. However, most existing studies focused on short-range airborne transmission in close contact and identified pollution sources based on numerical simulations. In this study, an experiment-based impulse response method was established to estimate the source term in a multi-zone building, and uncertainty analysis (UA) was conducted by combining the errors from the sensors and systematic responses. An acrylic scaled multi-zone building was built to investigate and validate the proposed method. The prior impulse response vectors between the potential sources and sensor network were obtained through impulse response experiments. Next, four sets of representative experiments were conducted with the scaled model to evaluate the source identification method. The results showed that the source release rate and source location could be identified using the impulse response method, and most of the relative errors of the source release rate were within 30%. For source location identification, the location probabilities of the constant and dynamic real sources were 44% and 100%, respectively. This study provides a novel perspective for source term estimation (STE) in multi-zone environments. © 2021 Elsevier Ltd |
关键词 | Airborne transmissionIndoor airInverse problemMulti-zone modelSource identification |
语种 | 英语 |
scopus关键词 | Air quality; Impulse response; Indoor air pollution; Location; Sensor networks; Systematic errors; Uncertainty analysis; Airborne pathogens; Airborne pollutants; Airborne transmission; Impulse-response methods; Indoor environment; Potential sources; Source identification; Source term estimation; Quality control; air quality; atmospheric pollution; building; experimental study; pollutant source; response surface methodology; source identification; uncertainty analysis; air pollutant; airborne particle; airborne transmission; Article; concentration response; controlled study; indoor environment; least square analysis; mathematical model; noise measurement; particle swarm optimization; particulate matter; priority journal; response surface method; Severe acute respiratory syndrome coronavirus 2; uncertainty |
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/248537 |
作者单位 | College of Urban Construction, Nanjing Tech University, Nanjing, 210009, China; College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, 210009, China; Department of Building Science, Tsinghua University, Beijing, 100084, China |
推荐引用方式 GB/T 7714 | Zhuang J.,Li F.,Liu X.,et al. An experiment-based impulse response method to characterize airborne pollutant sources in a scaled multi-zone building[J],2021,251. |
APA | Zhuang J.,Li F.,Liu X.,Cai H.,Feng L.,&Li X..(2021).An experiment-based impulse response method to characterize airborne pollutant sources in a scaled multi-zone building.ATMOSPHERIC ENVIRONMENT,251. |
MLA | Zhuang J.,et al."An experiment-based impulse response method to characterize airborne pollutant sources in a scaled multi-zone building".ATMOSPHERIC ENVIRONMENT 251(2021). |
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