Indoor Air Quality Engineering

Heinsohn, Robert Jennings; Cimbala, John M.

doi:10.1201/9780203911693

Cited by 32 publications

(9 citation statements)

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“…In addition, in this study, the optical counts of particulate matter, PN2.5, were converted into mass concentration, PM2.5 (mass concentration of particles that had a diameter less than 2.5 µm) by using sphere mass calculation equation, and by using the centroid of the distribution of each of the six size channels as the mass mean diameters [9]. The conversion used the 1.65 g/cm 3 as the assumed averaged density of PM2.5, which was adopted from reference [10].…”

Section: Data Collection and Analysismentioning

confidence: 99%

The Adverse Associations of Classrooms’ Indoor Air Quality and Thermal Comfort Conditions on Students’ Illness Related Absenteeism between Heating and Non-Heating Seasons—A Pilot Study

Deng

Zhou

Lau

2021

IJERPH

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(1) The association of the indoor environmental conditions in classrooms with illness-related absenteeism (IRA) was not well investigated. In addition, studying the association between heating and non-heating seasons were very limited; (2) To fill this knowledge gap, a research team collected various indoor air quality (IAQ) and thermal comfort conditions (TC) of 85 elementary classrooms in two school districts from the Midwestern United States throughout an academic year; in total, 255 classroom visits were performed. A negative binomial regression model was implied to associate the classroom’s IAQ and TC with IRA, separating for heating and non-heating seasons; (3) During non-heating season, a 3% increase of IRA was estimated with 1,000,000-counts/L increase of particles that had a diameter less than 2.5 μm (PN2.5); during the heating season, a 3% increase of IRA were expected with 100 ppm increase of room averaged CO2 concentration; and (4) These results suggested that the IAQ and TC factors could associated with IRA differently between heating and non-heating seasons.

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Section: Data Collection and Analysismentioning

confidence: 99%

The Adverse Associations of Classrooms’ Indoor Air Quality and Thermal Comfort Conditions on Students’ Illness Related Absenteeism between Heating and Non-Heating Seasons—A Pilot Study

Deng

Zhou

Lau

2021

IJERPH

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“…The Occupational Safety and Health Administration (OSHA) and the National Institute for Occupational Safety and Health (NIOSH) have indicated limits for safe exposure to contaminants. NIOSH uses a 10-h exposure period for establishing concentration limits, while OSHA uses eight hours (Heinsohn and Cimbala, 2003). The OSHA eight-hour maximum average for "particulates not otherwise designated" is 10,000 mg/m 3 of PM10 and 5,000 mg/m 3 for PM 2.5 , although these are higher than the IAQ suggestions above.…”

Section: Introductionmentioning

confidence: 97%

“…Ensuring good air quality in an indoor environment is done by providing access to outdoor air; however, it is a challenge when the outside environment also contains contaminants (Clements-Croome et al, 2008). Occupants may complain about odours and CO 2 concentration, but they are less likely to complain about either high organic pollutants or low ventilation level in a condition with less odour which means occupants may present discomfort, health symptoms and behavioural changes without linking these subjects to poor air quality (Heinsohn and Cimbala, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Poor IAQ may lead to building-related illness and SBS, a condition in certain buildings where users feel uncomfortable, sleepy, suffer headaches or lose concentration (Heinsohn and Cimbala, 2003;Sateri, 2004). Studies also conclude that SBS is increased by the presence of high concentrations of indoor air pollutants, particularly biological components, such as volatile organic compounds and formaldehyde (Takigawa et al, 2009;Yang et al, 2020;Jiang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the effects of indoor air quality on teacher performance using artificial neural network

Alzahrani

Arif

Kaushik

et al. 2022

JEDT

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Purpose A building's Indoor Air Quality (IAQ) has a direct impact on the health and productivity on its occupants. Understanding the effects of IAQ in educational buildings is essential in both the design and construction phases for decision-makers. The purpose of this paper is to outline the impact air quality has on occupants' performance, especially teachers and students in educational settings. Design/methodology/approach This study aims to evaluate the effects of IAQ on teachers' performances and to deliver air quality requirements to building information modelling-led school projects. The methodology of the research approach used a quasi-experiment through questionnaire surveys and physical measurements of indoor air parameters to associate correlation and deduction. A technical college building in Saudi Arabia was used for the case study. The study developed an artificial neural network (ANN) model to define and predict relationships between teachers' performance and IAQ. Findings This paper contains a detailed investigation into the impact of IAQ via direct parameters (relative humidity, ventilation rates and carbon dioxide) on teacher performance. Research findings indicated an optimal relative humidity with 65%, ranging between 650 to 750 ppm of CO2, and 0.4 m/s ventilation rate. This ratio is considered optimum for both comfort and performance Originality/value This paper focuses on teacher performance in Saudi Arabia and used ANN to define and predict the relationship between performance and IAQ. There are few studies that focus on teacher performance in Saudi Arabia and very few that use ANN in data analysis.

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“…The area under the curve is referred to as the "resilience triangle. "4Delphi process involves an anonymous survey using questionnaires with controlled feedback to allow iteration within a panel of experts and reach consensus opinion.5Note that, for the sake of brevity, the discussion omits considerations specific to quantitative risk analysis methodologies meant for human health as in workplace environment and for outdoor exposure to chemicals and pathogens (see, e.g., Refs [24,25]…”

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confidence: 99%

Resilience of Complex Adaptive Systems: A Pedagogical Framework for Engineering Education and Research

Reddy

2020

ASME Journal of Engineering for Sustainable Buildings and Cities

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The discourse on resilience, currently at the forefront of research and implementation in a wide variety of fields, is confusing because of its multi-disciplinary/spatial/temporal nature. Resilience analysis is a discipline that allows the assessment and enhancement of the coping and recovery behaviors of systems when subjected to short-lived high-impact external shocks leading to partial or complete failure. This paper, meant for pedagogical teaching and research formulation, starts by providing an overview of different aspects of resilience in general and then focuses on communities and regions that are complex adaptive systems (CAS) involving multiple engineered infrastructures providing essential services to local inhabitants and adapted to available natural resources and social requirements. Next, for objective analysis and assessment, it is proposed that resilience be characterized by four different quantifiable sub-attributes. This paper then describes the standard technocentric manner in which different temporal phases during and in the aftermath of disasters are generally visualized and analyzed, and discusses how these relate to reliability and risk analyses. Subsequently, two prevalent types of frameworks are described and representative literature reviewed: (i) those that aim at improving general resilience via soft methods such as subjective means (interviews, narratives) and census data, and (ii) those that are meant to enhance specific resilience under certain threat scenarios using hard/objective methods such as data-driven analysis and performance-predictive modeling methods, akin to resource allocation problems in operations research. Finally, the need for research into an integrated framework is urged; one that could potentially combine the strengths of both approaches.

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Indoor Air Quality Engineering

Cited by 32 publications

References 0 publications

The Adverse Associations of Classrooms’ Indoor Air Quality and Thermal Comfort Conditions on Students’ Illness Related Absenteeism between Heating and Non-Heating Seasons—A Pilot Study

The Adverse Associations of Classrooms’ Indoor Air Quality and Thermal Comfort Conditions on Students’ Illness Related Absenteeism between Heating and Non-Heating Seasons—A Pilot Study

Evaluating the effects of indoor air quality on teacher performance using artificial neural network

Resilience of Complex Adaptive Systems: A Pedagogical Framework for Engineering Education and Research

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