Ranking the environmental factors of indoor air quality of metropolitan independent coffee shops by Random Forests model
Abstract Independent coffee shops are the alternative workplaces for people working remotely from traditional offices but are not concerned about their indoor air quality (IAQ). This study aimed to rank the environmental factors in affecting the IAQ by Random Forests (RFs) models. The indoor environ...
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Nature Portfolio
2022-09-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-20421-2 |
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author | Yu-Wen Lin Chin-Sheng Tang Hsi-Chen Liu Tzu-Ying Lee Hsiao-Yun Huang Tzu-An Hsu Li-Te Chang |
author_facet | Yu-Wen Lin Chin-Sheng Tang Hsi-Chen Liu Tzu-Ying Lee Hsiao-Yun Huang Tzu-An Hsu Li-Te Chang |
author_sort | Yu-Wen Lin |
collection | DOAJ |
description | Abstract Independent coffee shops are the alternative workplaces for people working remotely from traditional offices but are not concerned about their indoor air quality (IAQ). This study aimed to rank the environmental factors in affecting the IAQ by Random Forests (RFs) models. The indoor environments and human activities of participated independent coffee shops were observed and recorded for 3 consecutive days including weekdays and weekend during the business hours. The multi-sized particulate matter (PM), particle-bound polycyclic aromatic hydrocarbons (p-PAHs), total volatile organic compounds (TVOCs), CO, CO2, temperature and relative humidity were monitored. RFs models ranked the environmental factors. More than 20% of the 15-min average concentrations of PM10, PM2.5, and CO2 exceeded the World Health Organization guidelines. Occupant density affected TVOCs, p-PAHs and CO2 concentrations directly. Tobacco smoking dominated PM10, PM2.5, TVOCs and p-PAHs concentrations mostly. CO concentration was affected by roasting bean first and tobacco smoking secondly. The non-linear relationships between temperature and these pollutants illustrated the relative low concentrations happened at temperature between 22 and 24 °C. Tobacco smoking, roasting beans and occupant density are the observable activities to alert the IAQ change. Decreasing CO2 and optimizing the room temperature could also be the surrogate parameters to assure the IAQ. |
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id | doaj.art-ae66ec4b04d94e39b6719fdf8e1a507c |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-04-12T12:08:24Z |
publishDate | 2022-09-01 |
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spelling | doaj.art-ae66ec4b04d94e39b6719fdf8e1a507c2022-12-22T03:33:39ZengNature PortfolioScientific Reports2045-23222022-09-0112111310.1038/s41598-022-20421-2Ranking the environmental factors of indoor air quality of metropolitan independent coffee shops by Random Forests modelYu-Wen Lin0Chin-Sheng Tang1Hsi-Chen Liu2Tzu-Ying Lee3Hsiao-Yun Huang4Tzu-An Hsu5Li-Te Chang6Department of Public Health, Fu Jen Catholic UniversityDepartment of Public Health, Fu Jen Catholic UniversityDepartment of Labor and Human Resources, Chinese Culture UniversityDepartment of Public Health, Fu Jen Catholic UniversityDepartment of Statistics and Information Science, Fu Jen Catholic UniversityDepartment of Public Health, Fu Jen Catholic UniversityDepartment of Environmental Engineering and Science, Feng Chia UniversityAbstract Independent coffee shops are the alternative workplaces for people working remotely from traditional offices but are not concerned about their indoor air quality (IAQ). This study aimed to rank the environmental factors in affecting the IAQ by Random Forests (RFs) models. The indoor environments and human activities of participated independent coffee shops were observed and recorded for 3 consecutive days including weekdays and weekend during the business hours. The multi-sized particulate matter (PM), particle-bound polycyclic aromatic hydrocarbons (p-PAHs), total volatile organic compounds (TVOCs), CO, CO2, temperature and relative humidity were monitored. RFs models ranked the environmental factors. More than 20% of the 15-min average concentrations of PM10, PM2.5, and CO2 exceeded the World Health Organization guidelines. Occupant density affected TVOCs, p-PAHs and CO2 concentrations directly. Tobacco smoking dominated PM10, PM2.5, TVOCs and p-PAHs concentrations mostly. CO concentration was affected by roasting bean first and tobacco smoking secondly. The non-linear relationships between temperature and these pollutants illustrated the relative low concentrations happened at temperature between 22 and 24 °C. Tobacco smoking, roasting beans and occupant density are the observable activities to alert the IAQ change. Decreasing CO2 and optimizing the room temperature could also be the surrogate parameters to assure the IAQ.https://doi.org/10.1038/s41598-022-20421-2 |
spellingShingle | Yu-Wen Lin Chin-Sheng Tang Hsi-Chen Liu Tzu-Ying Lee Hsiao-Yun Huang Tzu-An Hsu Li-Te Chang Ranking the environmental factors of indoor air quality of metropolitan independent coffee shops by Random Forests model Scientific Reports |
title | Ranking the environmental factors of indoor air quality of metropolitan independent coffee shops by Random Forests model |
title_full | Ranking the environmental factors of indoor air quality of metropolitan independent coffee shops by Random Forests model |
title_fullStr | Ranking the environmental factors of indoor air quality of metropolitan independent coffee shops by Random Forests model |
title_full_unstemmed | Ranking the environmental factors of indoor air quality of metropolitan independent coffee shops by Random Forests model |
title_short | Ranking the environmental factors of indoor air quality of metropolitan independent coffee shops by Random Forests model |
title_sort | ranking the environmental factors of indoor air quality of metropolitan independent coffee shops by random forests model |
url | https://doi.org/10.1038/s41598-022-20421-2 |
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