THE IMPACT OF THE INDOOR ENVIRONMENTAL QUALITY ON STUDENTS’ PERFORMANCE

2021 ◽  
Author(s):  
Tania Rus ◽  
Dorin Beu ◽  
Calin Ciugudeanu
Keyword(s):  
Carbon Dioxide ◽  
Environmental Quality ◽  
Current Knowledge ◽  
Carbon Dioxide Concentration ◽  
Environmental Parameters ◽  
Field Measurements ◽  
Well Being ◽  
Indoor Environmental Quality ◽  
Key Factor ◽  
The Impact

"The indoor environment quality is a key factor in people's lives, which directly affects their comfort, performance, health and well-being. The main factors that contribute to the indoor environmental quality are thermal comfort, air and lighting quality and acoustics. This study aims to extend the current knowledge on the impact of IEQ on students’ performance. Field measurements on environmental factors were performed in two similar classrooms, with the same number of students engaged in a written examination. Compliance of the indoor environmental parameters with the current standards regulations was performed. Students’ performance was quantified by their exam grades. The results of the field measurements show that, in both classrooms, the acoustics and air quality do not fulfil the standard regulations, especially in the case of carbon dioxide concentration which exceeds a lot the threshold limit of 1000 ppm. The outcomes of the study also reveal that in the classroom where the concentration of carbon dioxide is higher, the students scored lower grades, therefore we can conclude that indoor environmental quality has an impact on students’ performance."

scholarly journals A Wireless Gas Sensor Network to Monitor Indoor Environmental Quality in Schools

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4345 ◽  
Author(s):  
Alvaro Ortiz Perez ◽  
Benedikt Bierer ◽  
Louisa Scholz ◽  
Jürgen Wöllenstein ◽  
Stefan Palzer
Keyword(s):  
Sensor Network ◽  
Gas Sensor ◽  
Environmental Quality ◽  
Energy Savings ◽  
Environmental Parameters ◽  
Well Being ◽  
Sensor Nodes ◽  
Indoor Environmental Quality ◽  
Monitoring And Control ◽  
And Control

Schools are amongst the most densely occupied indoor areas and at the same time children and young adults are the most vulnerable group with respect to adverse health effects as a result of poor environmental conditions. Health, performance and well-being of pupils crucially depend on indoor environmental quality (IEQ) of which air quality and thermal comfort are central pillars. This makes the monitoring and control of environmental parameters in classes important. At the same time most school buildings do neither feature automated, intelligent heating, ventilation, and air conditioning (HVAC) systems nor suitable IEQ monitoring systems. In this contribution, we therefore investigate the capabilities of a novel wireless gas sensor network to determine carbon dioxide concentrations, along with temperature and humidity. The use of a photoacoustic detector enables the construction of long-term stable, miniaturized, LED-based non-dispersive infrared absorption spectrometers without the use of a reference channel. The data of the sensor nodes is transmitted via a Z-Wave protocol to a central gateway, which in turn sends the data to a web-based platform for online analysis. The results show that it is difficult to maintain adequate IEQ levels in class rooms even when ventilating frequently and that individual monitoring and control of rooms is necessary to combine energy savings and good IEQ.

Associations Among Home Indoor Environmental Quality Factors and Worker Health while Working from Home during COVID-19 Pandemic

2021 ◽  
pp. 1-19
Author(s):  
Mohamad Awada ◽  
Burcin Becerik-Gerber ◽  
Gale Lucas ◽  
Shawn Roll
Keyword(s):  
Air Quality ◽  
Environmental Quality ◽  
Well Being ◽  
Office Workers ◽  
Indoor Environmental Quality ◽  
Indoor Temperature ◽  
Musculoskeletal Discomfort ◽  
Work Activities ◽  
Natural Lighting ◽  
The Impact

Abstract The outbreak of SARS-CoV-2 virus forced office workers to conduct their daily work activities from home over an extended period. Given this unique situation, an opportunity emerged to study the satisfaction of office workers with indoor environmental quality (IEQ) factors of their houses where work activities took place and associate these factors with mental and physical health. We designed and administered a questionnaire that was open for 45 days during the COVID-19 pandemic and received valid data from 988 respondents. The results show that low satisfaction with natural lighting, glare and humidity predicted eye related symptoms, while low satisfaction with noise was a strong predictor of fatigue or tiredness, headaches or migraines, anxiety, and depression or sadness. Nose and throat related symptoms and skin related symptoms were only uniquely predicted by low satisfaction with humidity. Low satisfaction with glare uniquely predicted an increase in musculoskeletal discomfort. Symptoms related to mental stress, rumination or worry were predicted by low satisfaction with air quality and noise. Finally, low satisfaction with noise and indoor temperature predicted the prevalence of symptoms related to trouble concentrating, maintaining attention or focus. Workers with higher income were more satisfied with humidity, air quality and indoor temperature and had better overall mental health. Older individuals had increased satisfaction with natural lighting, humidity, air quality, noise, and indoor temperature. Findings from this study can inform future design practices that focus on hybrid home-work environments by highlighting the impact of IEQ factors on occupant well-being.

Indoor environment quality assessment in classrooms: An integrated approach

2018 ◽  
Vol 42 (3) ◽  
pp. 336-362 ◽  
Author(s):  
Mohammad Tahsildoost ◽  
Zahra S Zomorodian
Keyword(s):  
Energy Consumption ◽  
Environmental Quality ◽  
Quality Index ◽  
Integrated Approach ◽  
Well Being ◽  
Multiple Regression Model ◽  
Quality Parameters ◽  
Indoor Environmental Quality ◽  
Potential Index ◽  
The Impact

Indoor Environmental Quality is an important issue in educational buildings since it is directly related to students’ well-being and learning activities. Indoor Environmental Quality parameters have been assessed in three representative campus building typologies (old, new, and retrofitted), in Tehran, Iran, by measurements and questionnaire (n = 842) from July 2016 to April 2017. Results have been compared to the students’ overall satisfaction level and recommended standards. According to results, minimum attention to local standards with regard to Indoor Air Quality, acoustic, and lighting, especially in the old and retrofitted buildings, seems the main reason of low environmental quality in the studied cases. Fitting a multiple regression model to the questionnaire data, a mathematical model is developed to predict the overall comfort (Indoor Environmental Quality index). Studied buildings have been ranked based on the Indoor Environmental Quality index from high quality: I (building C) to out of the comfort range: IV (building A). Moreover, results reveal that the acceptable range of each Indoor Environmental Quality parameters, especially with regard to thermal and acoustic comfort, is broader in real condition in comparison with the standards. Finally, the buildings’ annual energy consumption is used to propose a Retrofit Potential Index in order to assess the impact of comfort parameters on energy consumption by integrated analyses.

Indoor Environmental Quality (IEQ) Acceptance of Air Conditioned Buildings in Malaysia: Case Study of Universiti Tenaga Nasional

2014 ◽  
Vol 953-954 ◽  
pp. 1513-1519 ◽  
Author(s):  
Iman Asadi ◽  
Ibrahim Hussein ◽  
Kumaran Palanisamy
Keyword(s):  
Environmental Quality ◽  
Indoor Air ◽  
Linear Regression Analysis ◽  
Carbon Dioxide Concentration ◽  
Environmental Parameters ◽  
Physical Parameters ◽  
Indoor Environmental Quality ◽  
Physical Measurements ◽  
Guidelines And Standards ◽  
The Moment

Indoor environmental quality (IEQ) is an important topic which impacts on energy efficiency and also productivity of occupants. Thermal comfort, indoor air quality, visual comfort and aural comfort are four main physical parameters which are normally used to determine IEQ. In this paper, the results of field study on IEQ conducted in the offices and student study areas of 6 air conditioned buildings in Universiti Tenaga Nasional in Malaysia are presented. The study was conducted during the month of October and November 2013, collecting a full set of objective physical measurements and subjective assessments through questionnaires. The measured environmental parameters are indoor air temperature, relative humidity, air velocity, carbon dioxide concentration, sound pressure level and luminance. The subjective responses concern the judgment of the respondents about the IEQ parameters at the moment of measurements. The results obtained showed that 86% of the respondents found that the IEQ is acceptable and the environmental conditions are mainly within the limits set by the various guidelines and standards in Malaysia. The neutral IEQ values were also determined through linear regression analysis of the sensation votes.

scholarly journals Indoor environmental quality evaluation in a hot and arid climate: a case study of a higher education office building

2020 ◽  
Vol 167 ◽  
pp. 04004
Author(s):  
Yasmin Abdou ◽  
Young Ki Kim ◽  
Lindita Bande
Keyword(s):  
Higher Education ◽  
Carbon Dioxide ◽  
Particulate Matter ◽  
Environmental Quality ◽  
Well Being ◽  
Environmental Data ◽  
Office Building ◽  
Arid Climate ◽  
Indoor Environmental Quality

Indoor Environment Quality (IEQ) refers to the overall environmental quality within a building, especially as it relates to the health and comfort of the building’s occupants. It includes several factors such as lighting levels and indoor air quality (IAQ). As humans spend a significant amount of time indoors; particularly at the workplace for up to 12 hours a day, the IEQ of the office greatly affects one’s overall well-being, health with striking effects on productivity. As for IAQ, in severe cases, high levels of carbon dioxide (CO2), particulate matter (PM), and humidity may cause headache, allergy, and asthma. A higher education (HE) office building located in United Arab Emirates University (UAEU) campus has been taken as a case study. Situated in the UAE, this is characterized by an extremely hot-arid climate. The HE building has been monitored using a set of advanced sensor devices to record indoor environmental data such as the measurements of temperature, relative humidity, lux level, particulate matter 2.5/10(PM 2.5/ 10), carbon dioxide (CO2), and total volatile organic compounds (TVOCs). Results of this paper aim to use the onsite numerical assessment and future POE assessment to verify the building’s performance and discover where the operational gaps are. Better facility management strategies will be suggested to enhance the indoor environmental quality (IEQ) as well as more findings will be discussed in this paper.

scholarly journals An IoT measurement solution for continuous indoor environmental quality monitoring for buildings renovation

ACTA IMEKO ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 230
Author(s):  
Serena Serroni ◽  
Marco Arnesano ◽  
Luca Violini ◽  
Gian Marco Revel
Keyword(s):  
Air Quality ◽  
Environmental Quality ◽  
Indoor Air ◽  
Well Being ◽  
Indoor Environmental Quality ◽  
Environmental Sensors ◽  
Improve Energy Efficiency ◽  
Sensor Configuration ◽  
Radiant Temperature ◽  
The Impact

The measurement of Indoor Environmental Quality (IEQ) requires the acquisition of multiple quantities regarding thermal comfort and indoor air quality. The IEQ monitoring is essential to investigate the building’s performance, especially when renovation is needed to improve energy efficiency and occupants’ well-being. Thus, IEQ data should be acquired for long periods inside occupied buildings, but traditional measurement solutions could not be adequate. This paper presents the development and application of a non-intrusive and scalable IoT sensing solution for continuous IEQ measurement in occupied buildings during the renovation process. The solution is composed of an IR scanner for mean radiant temperature measurement and a desk node with environmental sensors (air temperature, relative humidity, CO2, PMs). The integration with a BIM-based renovation approach was developed to automatically retrieve building’s data required for sensor configuration and KPIs calculation. The system was installed in a nursery located in Poland to support the renovation process. IEQ performance measured before the intervention revealed issues related to radiant temperature and air quality. Using measured data, interventions were realized to improve the envelope insulation and the occupant’s behaviour. Results from post-renovation measurements showed the IEQ improvement achieved, demonstrating the impact of the sensing solution.

scholarly journals Examining the spatial relationship between environmental health factors and house prices

2018 ◽  
Vol 11 (3) ◽  
pp. 353-398 ◽  
Author(s):  
Michael J. McCord ◽  
Sean MacIntyre ◽  
Paul Bidanset ◽  
Daniel Lo ◽  
Peadar Davis
Keyword(s):  
Air Quality ◽  
Environmental Quality ◽  
House Prices ◽  
Management Strategies ◽  
Noise Pollution ◽  
Well Being ◽  
Spatial Modelling ◽  
Content Type ◽  
The Impact ◽  
Health And Well Being

Purpose Air quality, noise and proximity to urban infrastructure can arguably have an important impact on the quality of life. Environmental quality (the price of good health) has become a central tenet for consumer choice in urban locales when deciding on a residential neighbourhood. Unlike the market for most tangible goods, the market for environmental quality does not yield an observable per unit price effect. As no explicit price exists for a unit of environmental quality, this paper aims to use the housing market to derive its implicit price and test whether these constituent elements of health and well-being are indeed capitalised into property prices and thus implicitly priced in the market place. Design/methodology/approach A considerable number of studies have used hedonic pricing models by incorporating spatial effects to assess the impact of air quality, noise and proximity to noise pollutants on property market pricing. This study presents a spatial analysis of air quality and noise pollution and their association with house prices, using 2,501 sale transactions for the period 2013. To assess the impact of the pollutants, three different spatial modelling approaches are used, namely, ordinary least squares using spatial dummies, a geographically weighted regression (GWR) and a spatial lag model (SLM). Findings The findings suggest that air quality pollutants have an adverse impact on house prices, which fluctuate across the urban area. The analysis suggests that the noise level does matter, although this varies significantly over the urban setting and varies by source. Originality/value Air quality and environmental noise pollution are important concerns for health and well-being. Noise impact seems to depend not only on the noise intensity to which dwellings are exposed but also on the nature of the noise source. This may suggest the presence of other externalities that arouse social aversion. This research presents an original study utilising advanced spatial modelling approaches. The research has value in further understanding the market impact of environmental factors and in providing findings to support local air zone management strategies, noise abatement and management strategies and is of value to the wider urban planning and public health disciplines.

scholarly journals Responses of pea (Pisum sativum L.) to the rising atmospheric concentration of carbon-dioxide

2017 ◽  
pp. 185-188
Author(s):  
András Tamás ◽  
Ágnes Törő ◽  
Tamás Rátonyi ◽  
Endre Harsányi
Keyword(s):  
Carbon Dioxide ◽  
Environmental Factors ◽  
Atmospheric Carbon Dioxide ◽  
Photosynthetic Apparatus ◽  
Carbon Dioxide Concentration ◽  
Growing Season ◽  
Atmospheric Concentration ◽  
Pisum Sativum L ◽  
Key Factor ◽  
Carbon Dioxide Levels

The atmospheric concentration of carbon dioxide increases from decade to decade in increasing pace. In 1957, atmospheric carbon dioxide levels were around 315 ppm, while in 2012 it amounted to 394.49 ppm concentration. In parallel, the global temperature is rising,which is projected to average 1.5–4.5 °C. The carbon dioxide concentration is a key factor – in interaction with the light – affects the plant's photosynthesis. Among the various factors significant interactions prevail: environmental factors affect - the growth and the development of plants, leaf area size and composition, the function of the photosynthetic apparatus, the duration of growing season.

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