Indoor air quality investigation of a badminton hall in humid season through objective and subjective approaches

Xie, Ruoyi; Xu, Yiyang; Yang, Jiann-Shiou; Zhang, Shaozhi

doi:10.1016/j.scitotenv.2021.145390

Cited by 15 publications

(15 citation statements)

References 61 publications

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“…We confirmed this association by reproducing the peaks of VOCs, in terms of both intensity Indoor air monitoring and management and duration, with the application of cleaning wipes to fitness machines as prescribed by the protocols. Unfortunately, the concurrence of peaks in contamination and the activities performed into this specific environment may represent a cause of concern, as people in exercise are the most exposed to adverse effects of air pollutants, compared to people at rest, due to higher respiration rate and physical stress (Carlisle and Sharp, 2001;Xie et al, 2021). In the kitchen and restaurant, meanwhile, the VOCs' peaks appeared to be differently distributed: particularly in the late night and early morning, when those areas are typically subject to cleaning.…”

Section: Resultsmentioning

confidence: 99%

Indoor air quality monitoring and management in hospitality: an overarching framework

Zanni

Mura

Longo

et al. 2022

IJCHM

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Purpose This study aims to provide a comprehensive framework for the study of indoor air quality (IAQ) in hospitality premises. The goal is to identify the drivers of air pollution, both at the exogenous and endogenous level, to generate insights for facility managers. Design/methodology/approach The complexity of hospitality premises requires an integrated approach to properly investigate IAQ. The authors develop an overarching framework encompassing a monitoring method, based on real-time sensors, a technological standard and a set of statistical analyses for the assessment of both IAQ performance and drivers, based on correlation analyses, analysis of variance and multivariate regressions. Findings The findings suggest that the main drivers of IAQ differ depending on the area monitored: areas in contact with the outdoors or with high ventilation rates, such as halls, are affected by outdoor air quality more than guestrooms or fitness areas, where human activities are the main sources of contamination. Research limitations/implications The results suggest that the integration of IAQ indicators into control dashboards would support management decisions, both in defining protocols to support resilience of the sector in a postpandemic world and in directing investments on the premises. This would also address guests’ pressing demands for a broader approach to cleanliness and safety and support their satisfaction and intention to return. Originality/value To the best of the authors’ knowledge, this is the first study developing a comprehensive framework to systematically address IAQ and its drivers, based on a standard and real-time monitoring. The framework has been applied across the longest period of monitoring for a hospitality premise thus far and over an entire hotel facility.

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Section: Resultsmentioning

confidence: 99%

Indoor air quality monitoring and management in hospitality: an overarching framework

Zanni

Mura

Longo

et al. 2022

IJCHM

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“…Moreover, studies confirm that there exists a direct correlation between higher temperature levels and IAQ dissatisfaction during the pandemic (e.g., [22,23]). An experimental study by [24] emphasize that a high temperature in indoor spaces increases VOC (volatile organic compounds) emissions, mostly driven by chemically-produced building materials, which result in poor IAQ, suggesting that occupant feedback on IAQ occur more in the summer time, followed by the spring and winter.…”

Section: Introductionmentioning

confidence: 87%

“…In this study, we picked Twitter as the source for social media data because 1) Twitter users send short messages that are limited to 280 characters, therefore people sentiment is conveyed through a short text communication; 2) Twitter offers a free product key for academic users to access the entire historical data [23]; and 3) many studies have used Twitter as the primary social media platform for the human-centered explorations in the built environment [43]. In this research, extracted data for two consecutive years: 2019 and 2020 to compare pre and post Covid sentiments.…”

Section: Data Acquisitionmentioning

confidence: 99%

Evaluating Occupant Feedback on Indoor Air Quality Perception During Covid Stay-at-home Using Social Media Data: A Nationwide Study in the U.S.

Ashayeri¹,

Piri²,

Abbasabadi

2023

Preprint

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Despite challenges, the COVID stay-at-home has provided opportunities to reveal unforeseen complexities within built environments, particularly from indoor health lenses, that had not been sought before the pandemic. This research aimed to evaluate occupants’ feedback on impacts of the stay-at-home on the indoor air quality (IAQ) perception in buildings nationwide in the U.S. during the first year of the pandemic (2019) and compare it with the baseline (2019). We used geo-tagged big textual data obtained from Twitter platform and developed Natural Language Processing (NLP) models based on Sentiment Analysis (SA) approach to compute the occupant feedback for the two consecutive years. We built the SA models through developing a six-step workflow, including data acquisition; data cleaning; text tokenization; analysis; accuracy evaluation; and data visualization and mapping. We used the QDAP dictionary and nrc lexicon to develop the SA models. We also developed automation scripts to improve the simulation performance. Results illustrate that occupants’ complaints on IAQ increased during 2020 compared with the baseline (2019). Findings further suggest that occupants with less access to operative Heating, Cooling, and Air Conditioning (HVAC) systems posted more dissatisfied feelings on Twitter. This research aids decision-makers to better understand the impacts of lockdown on occupants’ health experience to rethink the design and operation of buildings in a way to promote human-centered design and improving building resilience against future pandemics.

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“…Chen et al [ 32 ] investigated the CO 2 and PM 2.5 concentrations in 86 air-conditioned classrooms in primary and secondary schools in southern Taiwan and synthesised the effects of fresh-air ventilation systems on classroom-indoor air quality. Xie et al [ 33 ] investigated the indoor air quality of badminton courts during the wet season to investigate the indoor-air-quality characteristics of naturally ventilated public sports buildings. Zhu et al [ 34 ] investigated the causes of discomfort in office buildings in various climatic zones in China by detailing pollutant concentration and health-risk-assessment data as well as information on human perception of indoor environment.…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al [32] investigated the CO2 and PM2.5 concentrations in 86 air-conditioned classrooms in primary and secondary schools in southern Taiwan and synthesised the effects of fresh-air ventilation systems on classroom-indoor air quality. Xie et al [33] investigated the indoor air quality of badminton courts during the wet season to investigate the indoor-air-quality characteristics of natu- Indoor health issues and adverse health effects of exposure to air pollution have attracted considerable attention worldwide, especially since the COVID-19 outbreak [20,21]. Studies related to indoor air quality have primarily focused on objective field monitoring and assessment [22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Indoor Air Quality in Tujia Dwellings in Hunan, China: Field Tests, Numerical Simulations, and Mitigation Strategies

Zhang

Shi

Liu

et al. 2022

IJERPH

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Air pollution is a major health hazard. The traditional habits and unique ethnic fire culture in Hunan Tujia region result in the long-term exposure of residents, especially elderly people, to pollutants. In this study, we conducted field monitoring and assessment of indoor pollutants in the residential houses of Hunan Tujia families and subsequently visualised and simulated fire pollutants in representative residential houses by using fire-dynamic-simulator software. Pollutant-control strategies, using passive smoke collectors and resizing windows, were proposed and simulated for validation. The results revealed that passive smoke collectors reduced the pollutant concentration in the hall house by 43.96%. Furthermore, the optimal window size was 1500 mm × 1500 mm, and the most reasonable windowsill height of the firepit was 1800 mm. The results of the study can be used to improve the indoor air quality of Tujia dwellings and mitigate the adverse health effects of exposure to indoor air pollution without restricting ethnic beliefs and traditional customs.

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Indoor air quality investigation of a badminton hall in humid season through objective and subjective approaches

Cited by 15 publications

References 61 publications

Indoor air quality monitoring and management in hospitality: an overarching framework

Indoor air quality monitoring and management in hospitality: an overarching framework

Evaluating Occupant Feedback on Indoor Air Quality Perception During Covid Stay-at-home Using Social Media Data: A Nationwide Study in the U.S.

Indoor Air Quality in Tujia Dwellings in Hunan, China: Field Tests, Numerical Simulations, and Mitigation Strategies

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