Indoor PM2.5 Concentration Test and Analysis in Winter Olympics ‘Ice Cube‘ Curling venue

2022 ◽  
pp. 111837
Author(s):  
Xiaohui Du ◽  
Jiaxin Li
Keyword(s):  
Winter Olympics ◽  
Ice Cube ◽  
Concentration Test ◽  
Indoor Pm2.5 ◽  
Pm2.5 Concentration

scholarly journals Exposure Assessment of Environmental Tobacco Aerosol from Heated Tobacco Products: Nicotine and PM Exposures under Two Limited Conditions

2020 ◽  
Vol 17 (22) ◽  
pp. 8536
Author(s):  
Tomoyasu Hirano ◽  
Tokuaki Shobayashi ◽  
Teiji Takei ◽  
Fumihiko Wakao
Keyword(s):  
Particulate Matter ◽  
Indoor Air ◽  
Indoor Environment ◽  
Tobacco Products ◽  
Health Concerns ◽  
Standard Value ◽  
Preliminary Study ◽  
The Impact ◽  
Indoor Pm2.5 ◽  
Pm2.5 Concentration

It is too early to provide a clear answer on the impact of exposure to the second-hand aerosol of heated tobacco products (HTPs) in the planning of policy for smoke-free indoors legislation. Here, we conducted a preliminary study to evaluate indoor air quality with the use of HTPs. We first measured the concentration of nicotine and particulate matter (PM2.5) in the air following 50 puffs in the use of HTPs or cigarettes in a small shower cubicle. We then measured these concentrations in comparison with the use equivalent of smoking 5.4 cigarettes per hour in a 25 m3 room, as a typical indoor environment test condition. In the shower cubicle test, nicotine concentrations in indoor air using three types of HTP, namely IQOS, glo, and ploomTECH, were 25.9–257 μg/m3. These values all exceed the upper bound of the range of tolerable concentration without health concerns, namely 3 µg/m3. In particular, the indoor PM2.5 concentration of about 300 to 500 μg/m3 using IQOS or glo in the shower cubicle is hazardous. In the 25 m3 room test, in contrast, nicotine concentrations in indoor air with the three types of HTP did not exceed 3 μg/m3. PM2.5 concentrations were below the standard value of 15 μg/m3 per year for IQOS and ploomTECH, but were slightly high for glo, with some measurements exceeding 100 μg/m3. These results do not negate the inclusion of HTPs within a regulatory framework for indoor tolerable use from exposure to HTP aerosol, unlike cigarette smoke.

scholarly journals Existing building retrofitting for Indoor PM2.5 Concentration Control on Smog Days: Case study in China

2017 ◽  
Vol 205 ◽  
pp. 3222-3227 ◽  
Author(s):  
Yiyi Chu ◽  
Peng Xu ◽  
Zhiwei Yang ◽  
Weilin Li
Keyword(s):  
Existing Building ◽  
Indoor Pm2.5 ◽  
Pm2.5 Concentration

scholarly journals Distribution Characteristics of Indoor PM2.5 Concentration Based on the Water Type and Humidification Method

2020 ◽  
Vol 17 (22) ◽  
pp. 8638
Author(s):  
Seonghyun Park ◽  
Janghoo Seo ◽  
Sunwoo Lee
Keyword(s):  
Rapid Development ◽  
Water Type ◽  
Water Types ◽  
Outdoor Concentration ◽  
Diffusion Characteristics ◽  
Ultrasonic Humidifier ◽  
The Impact ◽  
And Diffusion ◽  
Indoor Pm2.5 ◽  
Pm2.5 Concentration

With the industrialization and rapid development of technology that can measure the concentration of pollutants, studies on indoor atmosphere assessment focusing on occupants have been recently conducted. Pollutants that worsen indoor atmosphere include gaseous and particulate matter (PM), and the effects and diffusion characteristics that influence indoor atmosphere vary depending on the indoor and outdoor concentration. White dust is a PM generated from minerals in water used for humidifiers during winter. Therefore, studies on the impact of white dust on human health and its size distribution are being actively conducted. However, since the indoor PM concentration varies depending on the humidification method and water type used, relevant studies are needed. Accordingly, this study examined the change in the PM2.5 concentration and relative humidity on the basis of water types and humidification method. It was found that the indoor PM2.5 concentration varied from 16 to 350 ug/m3, depending on the water types used for an ultrasonic humidifier. Conversely, when using a natural evaporative humidifier, white dust did not increase the indoor PM2.5 concentration, regardless of the mineral content of the water used. Considering both humidification ability and continuous humidifier use indoors, water purifier with nano-trap filters must be utilized for ultrasonic humidifiers.

scholarly journals Development of Hourly Indoor PM2.5 Concentration Prediction Model: The Role of Outdoor Air, Ventilation, Building Characteristic, and Human Activity

2020 ◽  
Vol 17 (16) ◽  
pp. 5906
Author(s):  
Chien-Cheng Jung ◽  
Wan-Yi Lin ◽  
Nai-Yun Hsu ◽  
Chih-Da Wu ◽  
Hao-Ting Chang ◽  
...  
Keyword(s):  
Prediction Model ◽  
Human Activities ◽  
Cross Validation ◽  
Prediction Models ◽  
Multiple Linear Regression Model ◽  
Outdoor Air ◽  
The Impact ◽  
Indoor Pm2.5 ◽  
Concentration Prediction ◽  
Pm2.5 Concentration

Exposure to indoor particulate matter less than 2.5 µm in diameter (PM2.5) is a critical health risk factor. Therefore, measuring indoor PM2.5 concentrations is important for assessing their health risks and further investigating the sources and influential factors. However, installing monitoring instruments to collect indoor PM2.5 data is difficult and expensive. Therefore, several indoor PM2.5 concentration prediction models have been developed. However, these prediction models only assess the daily average PM2.5 concentrations in cold or temperate regions. The factors that influence PM2.5 concentration differ according to climatic conditions. In this study, we developed a prediction model for hourly indoor PM2.5 concentrations in Taiwan (tropical and subtropical region) by using a multiple linear regression model and investigated the impact factor. The sample comprised 93 study cases (1979 measurements) and 25 potential predictor variables. Cross-validation was performed to assess performance. The prediction model explained 74% of the variation, and outdoor PM2.5 concentrations, the difference between indoor and outdoor CO2 levels, building type, building floor level, bed sheet cleaning, bed sheet replacement, and mosquito coil burning were included in the prediction model. Cross-validation explained 75% of variation on average. The results also confirm that the prediction model can be used to estimate indoor PM2.5 concentrations across seasons and areas. In summary, we developed a prediction model of hourly indoor PM2.5 concentrations and suggested that outdoor PM2.5 concentrations, ventilation, building characteristics, and human activities should be considered. Moreover, it is important to consider outdoor air quality while occupants open or close windows or doors for regulating ventilation rate and human activities changing also can reduce indoor PM2.5 concentrations.

Influence of Natural Ventilation on Indoor PM2.5 Concentration in Residential Building

2014 ◽  
Vol 675-677 ◽  
pp. 194-198
Author(s):  
Li Zhao ◽  
Chao Chen ◽  
Guo Qing Cao
Keyword(s):  
Pollution Control ◽  
Natural Ventilation ◽  
Residential Building ◽  
Ventilation Rate ◽  
Outdoor Air ◽  
Change Rate ◽  
Air Change Rate ◽  
Indoor Pm2.5 ◽  
Life Behavior ◽  
Pm2.5 Concentration

According to PM2.5 contamination in residential building, a mathematical model is established about the effect of natural ventilation on PM2.5 pollution control based on calculus method. On the basis of some actual cases, such as indoor smoking and cleaning, indoor PM2.5 concentration is calculated for different air change rate and outdoor air quality. The concept of critical ventilation rate is provided. The conclusion of the paper provides some advice on natural ventilation and indoor life behavior.

scholarly journals Assisted Deposition of PM2.5 from Indoor Air by Ornamental Potted Plants

2019 ◽  
Vol 11 (9) ◽  
pp. 2546 ◽  
Author(s):  
Yanxiao Cao ◽  
Fei Li ◽  
Yanan Wang ◽  
Yu Yu ◽  
Zhibiao Wang ◽  
...  
Keyword(s):  
Indoor Air ◽  
Fine Particulate Matter ◽  
Aloe Vera ◽  
Wuhan City ◽  
Area Index ◽  
Potted Plants ◽  
Fine Particulate ◽  
Epipremnum Aureum ◽  
Indoor Pm2.5 ◽  
Pm2.5 Concentration

This study clarifies whether vegetation can promote the decrease of indoor PM2.5 concentration. The indoor PM2.5 concentration in two periods of 2013 in Wuhan city was simulated by cigarette burning in a series of sealed chambers. Six common indoor potted plants were selected as samples to investigate the effect of plants on PM2.5 decline. The effects of potted plants on PM2.5 decline were analyzed from three aspects: plant species, leaf characteristics and relative humidity. The results show that the presence of potted plants accelerated the decline of PM2.5. The additional removal rates (excluding gravity sedimentation of PM2.5 itself) for Aloe vera and Epipremnum aureum were 5.2% and 30% respectively, when the initial PM2.5 concentration was around 200 μg/m3. The corresponding values were 0% and 17.2%, respectively, when the initial PM2.5 was around 300 μg/m3. Epipremnum aureum was the optimum potted plant for PM2.5 sedimentation, due to its rough and groove leaf surface, highest LAI (leaf area index, 2.27), and strong humidifying capacity (i.e., can promote chamber humidity to 65% in 30–60 minutes.). Actual indoor studies have also confirmed that a certain amount of Epipremnum aureum can promote the decrease of indoor PM2.5. This paper provides insights on reducing the concentration of fine particulate matter by indoor greening efforts.

scholarly journals Study of indoor PM2.5 distribution characteristics and optimal location for its monitoring in an office

2019 ◽  
Vol 80 ◽  
pp. 03006
Author(s):  
Guoxiang Hong ◽  
Chunhui Liao ◽  
Hong Liu
Keyword(s):  
Cfd Simulation ◽  
Temporal Distribution ◽  
Optimal Location ◽  
Distribution Characteristics ◽  
Monitoring Point ◽  
Factors Affecting ◽  
Computational Fluid Dynamics Cfd ◽  
Air Conditioning Systems ◽  
Indoor Pm2.5 ◽  
Pm2.5 Concentration

With the appearance of the word “haze” in China, PM2.5 (particulate matter with aerodynamic diameter less than 2.5 μm) that can enter occupants' lungs has become a public topic of discussion. Today, the indoor PM2.5 or fine particulate concentration has become one of important factors affecting indoor air quality (IAQ). How to properly monitor indoor PM2.5 is an urgent issue to be discussed and solved. At present, sampling is adopted to know PM2.5 concentration in a room, and Chinese related standard required the sampling time for indoor PM2.5 is at least 8 hours. However, the sampling method takes too much time, and the HVAC system cannot react in real time such as increasing the fresh air volume with increase of indoor PM2.5 concentration. So, there is a great need to find an optimal location for continuous PM2.5 monitoring. Before finding the monitoring point, the spatial and temporal distribution characteristics of indoor PM2.5 concentration are needed to be known. Computational fluid dynamics (CFD) can be used to simulate airflow and dispersion of PM2.5 in rooms with different scales, functions and ventilations. This paper will contribute to find the optimal location which could preferably describe indoor PM2.5 concentration in an office combined with experimental research and CFD simulation. In short, the aim of the paper is to reveal the spatial-temporal characteristics of indoor PM2.5 concentration distribution and optimize the layout of PM2.5 monitoring points for air conditioning systems to better control indoor contaminate PM2.5 concentration.

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