Sampling method for long-term monitoring of indoor environmental quality in residential buildings

Yao, Huimin; Cheng, Xiaojie; Wei, Shen; Lv, Yuling; Li, Ang; Xiong, Shuidong

doi:10.1016/j.buildenv.2022.108965

Cited by 10 publications

(4 citation statements)

References 47 publications

(56 reference statements)

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“…Aside from developing and enforcing building codes and regulations, the government can also work with relevant stakeholders, such as industry associations, research institutions and building owners to regularly evaluate and update IEQ standards to ensure that they remain effective in promoting healthy environments (Zhao and Li, 2022). Yao et al (2022) notes that updates to IEQ standards should be made to reflect advances in technology and new research findings. The government can also promote the use of building commissioning processes to ensure that IEQ principles are incorporated into building design from the planning stage (Afful et al, 2022).…”

Section: Discussion Of Extracted Clusters Education and Trainingmentioning

confidence: 99%

“…These measures rely on the idea that incentivizing and recognizing good IEQ practices can encourage QS firms, building managers and owners to prioritize IEQ in their buildings. According to Yao et al (2022), the development of awards and recognition programs can serve as a source of inspiration and best practices for others in the industry. This could include recognition for buildings that achieve high levels of IAQ, thermal comfort, acoustics and lighting.…”

Section: Discussion Of Extracted Clusters Education and Trainingmentioning

confidence: 99%

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Effective measures to bolster the deployment of indoor environmental quality (IEQ) principles in building design: a focus on quantity surveying (QS) firms in Nigeria

Oke,

Aliu,

Agbaje

et al. 2023

MEQ

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PurposeResearch on measures to strengthen the implementation of indoor environmental quality (IEQ) principles has been scarce in developing countries such as Nigeria. Hence, this study sought to identify and assess the crucial measures for encouraging the adoption of IEQ principles in the Nigerian construction industry, specifically from the viewpoint of quantity surveyors.Design/methodology/approachTo accomplish this objective, a quantitative research methodology was employed, utilizing a well-structured questionnaire distributed to quantity surveying (QS) firms in Nigeria. The collected data were examined using a range of statistical techniques such as frequencies, percentages, mean item scores (MISs), the Kruskal–Wallis test and exploratory factor analysis.FindingsThe top five ranked measures were as follows: offer financial incentives and tax breaks, develop educational materials and resources, establish clear and accessible reporting mechanisms, develop awards and recognition programs and provide advocacy and awareness campaigns. Factor analysis led to the categorization of the identified measures into four primary clusters: education and training, policy and regulation, incentivization and recognition and collaboration and networking. Consequently, these clusters were renamed the EPIC (Education and training, Policy and regulation, Incentivization and recognition and Collaboration and networking) framework, with each first letter representing a significant measure for fostering the adoption of IEQ principles.Practical implicationsConsequently, this study offers a robust foundation for understanding and implementing measures to enhance the adoption of IEQ principles within the Nigerian construction industry, ultimately benefiting stakeholders and improving the quality of built environments.Originality/valueThe EPIC framework designed in this study offers valuable insights for policymakers, construction industry professionals and other stakeholders interested in promoting IEQ principles, which can potentially lead to healthier, more comfortable and more sustainable built environments in Nigeria and beyond.

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Section: Discussion Of Extracted Clusters Education and Trainingmentioning

confidence: 99%

Section: Discussion Of Extracted Clusters Education and Trainingmentioning

confidence: 99%

Effective measures to bolster the deployment of indoor environmental quality (IEQ) principles in building design: a focus on quantity surveying (QS) firms in Nigeria

Oke,

Aliu,

Agbaje

et al. 2023

MEQ

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“…• Description: This approach utilizes sensors or data loggers to continuously record IEQ parameters over extended periods. It is designed to capture daily and seasonal variations, providing a more comprehensive view of the indoor environment [21].…”

Section: Long-term Monitoringmentioning

confidence: 99%

Machine Learning Techniques in Indoor Environmental Quality Assessment

Kumar Gajendran,

Fazil Syed Ahmed Kabir,

Vadivelu

et al. 2024

Civil Engineering

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This chapter provides a comprehensive exploration of the evolving role of machine learning in Indoor Environmental Quality (IEQ) assessment. As urban living spaces become increasingly enclosed, the importance of maintaining optimal IEQ for human health and well-being has surged. Traditional methods for IEQ assessment, while effective, often fail to provide real-time monitoring and control. This gap is increasingly being addressed by the integration of machine learning techniques, allowing for enhanced predictive modeling, real-time optimization, and robust anomaly detection. The chapter delves into a comparative analysis of various machine learning techniques including supervised, unsupervised, and reinforcement learning, demonstrating their unique benefits in IEQ assessment. Practical implementations of these techniques in residential, commercial, and specialized environments are further illustrated through detailed case studies. The chapter also addresses the existing challenges in implementing machine learning for IEQ assessment and provides an outlook on future trends and potential research directions. The comprehensive review offered in this chapter encourages continued innovation and research in leveraging machine learning. for more efficient and effective IEQ assessment.

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“…As raw data of the VOC concentrations were not provided by the original studies, goodness-of-fit tests could not be conducted to acquire the true distribution of VOC concentrations. However, in most field and modeling studies, concentrations of indoor air pollutants show a lognormal distribution, 14,15,[23][24][25][26][27][28][29] so we assumed that VOC concentrations in each original study in this systematic review are lognormally distributed. First, we estimated the parameters of the lognormal distribution for each included study, based on the provided statistics.…”

Section: Statistical Analysis Of Voc Concentrationsmentioning

confidence: 99%

Indoor exposure levels and risk assessment of volatile organic compounds in residences, schools, and offices in China from 2000 to 2021: A systematic review

Liu

et al. 2022

Indoor Air

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The last two decades have witnessed rapid urbanization and economic growth accompanied by severe indoor air pollution of volatile organic compounds (VOCs) in China. However, indoor VOC pollution across China has not been well characterized and documented. This study is a systematic review of field measurements of eight target VOCs (benzene, toluene, xylenes, acetaldehyde, p-dichlorobenzene, butadiene, trichloroethylene, and tetrachloroethylene) in residences, offices, and schools in China from 2000 to 2021. The results show that indoor pollution of benzene, toluene, and xylenes has been more serious in China than in other countries. Spatiotemporal distribution shows lower indoor VOC levels in east and south-east regions and a declining trend from 2000 to 2021. Moving into a dwelling more than 1 year after decoration and improving ventilation could significantly reduce exposure to indoor VOCs. Reducing benzene exposure is urgently needed because it is associated with greater health risks (4.5 × 10 −4 for lifetime cancer risk and 8.3 for hazard quotient) than any other VOCs. The present study enriches the database of indoor VOC levels

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Sampling method for long-term monitoring of indoor environmental quality in residential buildings

Cited by 10 publications

References 47 publications

Effective measures to bolster the deployment of indoor environmental quality (IEQ) principles in building design: a focus on quantity surveying (QS) firms in Nigeria

Effective measures to bolster the deployment of indoor environmental quality (IEQ) principles in building design: a focus on quantity surveying (QS) firms in Nigeria

Machine Learning Techniques in Indoor Environmental Quality Assessment

Indoor exposure levels and risk assessment of volatile organic compounds in residences, schools, and offices in China from 2000 to 2021: A systematic review

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