scholarly journals Cooking/Window Opening and Associated Increases of Indoor PM2.5 and NO2 Concentrations of Children’s Houses in Kaohsiung, Taiwan

2019 ◽  
Vol 9 (20) ◽  
pp. 4306 ◽  
Author(s):  
Yu-Chuan Yen ◽  
Chun-Yuh Yang ◽  
Kristina Mena ◽  
Yu-Ting Cheng ◽  
Pei-Shih Chen
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Pollutants ◽  
Atmospheric Dispersion ◽  
Influence Factors ◽  
Industrial Area ◽  
Dispersion Modeling ◽  
Residential Areas ◽  
Window Opening

High concentrations of air pollutants and increased morbidity and mortality rates are found in industrial areas, especially for the susceptible group, children; however, most studies use atmospheric dispersion modeling to estimate household air pollutants. Therefore, the aim of this study was to assess the indoor air quality, e.g., CO, CO2, NO2, SO2, O3, particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5), and their influence factors in children’s homes in an industrial city. Children in the “general school”, “traffic school”, and “industrial school” were randomly and proportionally selected. Air pollutants were sampled for 24 h in the living rooms and on the balcony of their houses and questionnaires of time–microenvironment–activity-diary were recorded. The indoor CO concentration of the traffic area was significantly higher than that of the industrial area and the general area. In regard to the effects of window opening, household NO2 and PM2.5 concentrations during window opening periods were significantly higher than of the reference periods. For the influence of cooking, indoor CO2, NO2, and PM2.5 levels during the cooking periods were significantly higher than that of the reference periods. The indoor air quality of children in industrial cities were affected by residential areas and household activities.

Perceived indoor air quality and its relationship to air pollutants in French dwellings

Indoor Air ◽  
2017 ◽  
Vol 27 (6) ◽  
pp. 1168-1176 ◽  
Author(s):  
S. Langer ◽  
O. Ramalho ◽  
E. Le Ponner ◽  
M. Derbez ◽  
S. Kirchner ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Pollutants

Investigation of window-opening behaviour and indoor air quality in dwellings situated in the temperate zone in China

2020 ◽  
pp. 1420326X2092474
Author(s):  
Tingxuan Deng ◽  
Xiong Shen ◽  
Xiaojie Cheng ◽  
Junjie Liu
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Temperate Zone ◽  
World Health ◽  
Formaldehyde Concentration ◽  
Short Term ◽  
Night Time ◽  
Window Opening

Indoor air quality (IAQ) is a key factor that could affect the indoor environment and people's health. In this study, we report a comprehensive study on IAQ in 30 dwellings in the temperate zone in China. Thirty naturally ventilated dwellings were selected in the urban area of Kunming, which is the largest city in temperate zone in China. In four seasons, short-term measurement of formaldehyde and benzene, toluene, xylenes-volatile organic compounds and air infiltration rate were conducted in these dwellings. A long-term 1-year monitoring of temperature, relative humidity, fine particulate matter (PM2.5), carbon dioxide (CO2), window-opening behaviour and night-time air change rate (ACR) were conducted in 13 of these dwellings by remote sensors. Short-term measurements showed the mean formaldehyde concentration in summer (100.76 μg/m3), benzene concentration in winter (8.46 µg/m3), PM2.5 concentration (80.4 µg/m3) in spring of 2017 exceeded the Chinese standard, the US Office of Environmental Health Hazard Assessment value and the World Health Organization guidelines. The night-time ACR was the highest in summer (2.1 h−1) and the lowest in winter (1.6 h−1) in bedrooms of 13 long-term monitored dwellings due to seasonal time variation in window opening in bedrooms, which was mainly driven by CO2 concentration, indoor temperature and outdoor PM10 concentration.

Assessing Future Trends in Indoor Air Quality

1990 ◽  
Vol 6 (5) ◽  
pp. 103-115 ◽  
Author(s):  
H. J. Van De Wiel ◽  
E. Lebret ◽  
W. K. Van Der Lingen ◽  
H. C. Eerens ◽  
L.H. Vaas ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Pollutants ◽  
Housing Stock ◽  
International Health ◽  
Health Organizations ◽  
Dutch Housing ◽  
International Health Organizations

Several national and international health organizations have derived concentration levels below which adverse effects on men are not expected or levels below which the excess risk for individuals is less than a specified value. For every priority pollutant indoor concentrations below this limit are considered “healthy.” The percentage of Dutch homes exceeding such a limit is taken as a measure of indoor air quality for that component. The present and future indoor air quality of the Dutch housing stock is described for fourteen air pollutants. The highest percentages are scored by radon, environmental tobacco smoke, nitrogen dioxide from unvented combustion, and the potential presence of housedust mite and mould allergen in damp houses. Although the trend for all priority pollutants is downward the most serious ones remain high in the coming decades if no additional measures will be instituted.

The importance of improving indoor air quality to help reduce asthma attacks

2020 ◽  
Vol 1 (1) ◽  
pp. 47-48
Keyword(s):  
Air Quality ◽  
Young People ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Pollutants ◽  
School Environments ◽  
Children And Young People ◽  
Home And School

Two recent reports have warned about the importance of good air quality and issued advice on improving it in the home and school environments. This is a key consideration for children and young people with asthma, for whom air pollutants may worsen symptoms and trigger asthma attacks.

scholarly journals A Promising Technological Approach to Improve Indoor Air Quality

2019 ◽  
Vol 9 (22) ◽  
pp. 4837 ◽  
Author(s):  
Thomas Maggos ◽  
Vassiliοs Binas ◽  
Vasileios Siaperas ◽  
Antypas Terzopoulos ◽  
Panagiotis Panagopoulos ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Pollutants ◽  
Advanced Oxidation Processes ◽  
Environmental Science ◽  
Critical Issue ◽  
Toluene Concentration ◽  
Lab Test ◽  
Real Scale

Indoor Air quality (IAQ) in private or public environments is progressively recognized as a critical issue for human health. For that purpose the poor IAQ needs to be mitigated and immediate drastic measures must be taken. In environmental science and especially in advanced oxidation processes and technologies (AOPs-AOTs), photocatalysis has gained considerable interest among scientists as a tool for IAQ improvement. In the current study an innovative paint material was developed which exhibits intense photocatalytic activity under direct and diffused visible light for the degradation of air pollutants, suitable for indoor use. A laboratory and a real scale study were performed using the above innovative photo-paint. The lab test was performed in a special design photo-reactor while the real scale in a military’s medical building. Nitrogen Oxide (NO) and Toluene concentration was monitored between “reference” rooms (without photo paint) and “green” rooms (with photo-paint) in order to estimate the photocatalytic efficiency of the photo-paint to degrade the above pollutants. Results of the study showed a decrease up to 60% and 16% for NO and toluene respectively under lab scale tests while an improvement of air quality up to 19% and 5% under real world conditions was achieved.

scholarly journals Simulation and Analysis of Indoor Air Quality in Florida Using Time Series Regression (TSR) and Artificial Neural Networks (ANN) Models

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 952
Author(s):  
He Zhang ◽  
Ravi Srinivasan ◽  
Xu Yang
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Artificial Neural Networks ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Air Pollutants ◽  
Time Series Regression ◽  
Ann Models ◽  
Mlr Model

Exposures to air pollutants have been associated with various acute respiratory diseases and detrimental human health. Analysis and further interpretation of air pollutant patterns are correspondingly important as monitoring them. In the present study, the 24-h and four-month indoor and outdoor PM2.5, PM10, NO2, relative humidity, and temperature were measured simultaneously for a laboratory in Gainesville city, Florida. The indoor PM2.5, PM10, and NO2 concentrations were predicted using multiple linear regression (MLR), time series regression (TSR), and artificial neural networks (ANN) models. The modeling conducted in this study aims to perform a cross comparison study between these models in a symmetric environment. The value of root-mean-square error was improved by 18.33% in comparison with the MLR model. In addition, the value of the coefficient of determination was improved by 24.68%. The ANN model had the best performance and could predict the target air pollutants at 10-min intervals of the studied building with 90% accuracy levels. The TSR model showed slightly better performance compared to the MLR model. These results can be accordingly referred for studies analyzing indoor air quality in similar building types and climate zones.

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