scholarly journals Dynamic of Particulate Matter for Quotidian Aerosol Sources in Indoor Air

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1682
Author(s):  
Mostafa Yuness Abdelfatah Mostafa ◽  
Hyam Nazmy Bader Khalaf ◽  
Michael V. Zhukovsky
Keyword(s):  
Particulate Matter ◽  
Indoor Air ◽  
Mass Concentration ◽  
Electronic Cigarettes ◽  
Ultrafine Particle ◽  
Background Level ◽  
Health Related ◽  
Aerosol Sources ◽  
Pm2.5 And Pm10 ◽  
Indoor Aerosol

A correlation between the mass concentration of particulate matter (PM) and the occurrence of health-related problems or diseases has been confirmed by several studies. However, little is known about indoor PM concentrations, their associated risks or their impact on health. In this work, the PM1, PM2.5 and PM10 produced by different indoor aerosol sources (candles, cooking, electronic cigarettes, tobacco cigarettes, mosquito coils and incense) are studied. The purpose is to quantify the emission characteristics of different indoor particle sources. The mass concentration, the numerical concentration, and the size distribution of PM from various sources were determined in an examination room 65 m3 in volume. Sub-micrometer particles and approximations of PM1, PM2.5 and PM10 concentrations were measured simultaneously using a diffusion aerosol spectrometer (DAS). The ultrafine particle concentration for the studied indoor aerosol sources was approximately 7 × 104 particles/cm3 (incense, mosquito coils and electronic cigarettes), 1.2 × 105 particles/cm3 for candles and cooking and 2.7 × 105 particles/cm3 for tobacco cigarettes. The results indicate that electronic cigarettes can raise indoor PM2.5 levels more than 100 times. PM1 concentrations can be nearly 55 and 30 times higher than the background level during electronic cigarette usage and tobacco cigarette burning, respectively. It is necessary to study the evaluation of indoor PM, assess the toxic potential of internal molecules and develop and test strategies to ensure the improvement of indoor air quality.

scholarly journals Passive Exposure to Pollutants from a New Generation of Cigarettes in Real Life Scenarios

2020 ◽  
Vol 17 (10) ◽  
pp. 3455 ◽  
Author(s):  
Joseph Savdie ◽  
Nuno Canha ◽  
Nicole Buitrago ◽  
Susana Marta Almeida
Keyword(s):  
Black Carbon ◽  
Indoor Air ◽  
Electronic Cigarettes ◽  
Ultrafine Particle ◽  
Real Life ◽  
Pm2.5 And Pm10 ◽  
Carbon Dioxide Co2 ◽  
Indoor Air Pollutants ◽  
Combustion Processes ◽  
New Generation

The use of electronic cigarettes (e-cigarettes) and heat-not-burn tobacco (HNBT), as popular nicotine delivery systems (NDS), has increased among adult demographics. This study aims to assess the effects on indoor air quality of traditional tobacco cigarettes (TCs) and new smoking alternatives, to determine the differences between their potential impacts on human health. Measurements of particulate matter (PM1, PM2.5 and PM10), black carbon, carbon monoxide (CO) and carbon dioxide (CO2) were performed in two real life scenarios, in the home and in the car. The results indicated that the particle emissions from the different NDS devices were significantly different. In the home and car, the use of TCs resulted in higher PM10 and ultrafine particle concentrations than when e-cigarettes were smoked, while the lowest concentrations were associated with HNBT. As black carbon and CO are released by combustion processes, the concentrations of these two pollutants were significantly lower for e-cigarettes and HNBT because no combustion occurs when they are smoked. CO2 showed no increase directly associated with the NDS but a trend linked to a higher respiration rate connected with smoking. The results showed that although the levels of pollutants emitted by e-cigarettes and HNBT are substantially lower compared to those from TCs, the new smoking devices are still a source of indoor air pollutants.

scholarly journals The Effects of Outdoor Source on Pollution Characteristics and Dynamic Changes of Particulate Matter in an Office

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Guozhong Zheng ◽  
Yuzhen Lu ◽  
Yajing Wang ◽  
Zhengzheng Zhao ◽  
Ke Li ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Mass Concentration ◽  
Dynamic Changes ◽  
Maximum Increase ◽  
Pollution Characteristics ◽  
Indoor Particulate Matter ◽  
Outdoor Pm10

The indoor air quality has a direct impact on human health. Particulate matter is one of the important factors affecting the indoor air quality. The paper selects an office as the study object and studies the pollution characteristics and dynamic changes of indoor particulate matter in different outdoor pollution levels. The mass concentration of outdoor PM10 is used as the evaluation basis of the outdoor pollution level. The outdoor PM10 concentration levels are divided into the range of 200–300, 300–400, 400–500, 500–600, 600–700 μg·m−3, individually. Firstly, the change characteristics of the mass concentration and the number concentration of the particulate matter in the five outdoor conditions are analyzed. Secondly, the maximum increase values and the maximum increase rates of the mass concentrations of different particle sizes in the five conditions are compared. Then, the penetration factors of the particulates in different sizes are compared among the five conditions. Finally, the correlation between indoor particulate matter and outdoor particulate matter is studied. The study results show that the effect of outdoor infiltration has a great influence on the indoor PM1 mass concentration, and the penetrating factors of the particulate matter between 0.3 μm and 0.5 μm are higher than 0.6; their permeability is the most obvious.

scholarly journals Indoor air quality of 5,000 households and its determinants. Part A: Particulate matter (PM2.5 and PM10–2.5) concentrations in the Japan Environment and Children’s Study

2021 ◽  
pp. 111196
Author(s):  
Yukiko Nishihama ◽  
Chau-Ren Jung ◽  
Shoji F. Nakayama ◽  
Kenji Tamura ◽  
Tomohiko Isobe ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Pm2.5 And Pm10

TOTAL PARTICULATE MATTER, PM10, PM2.5 EMISSIONS FROM PALM OIL MILL BOILER

2016 ◽  
Vol 78 (6-11) ◽  
Author(s):  
M. M. Syahirah ◽  
M. Rashid ◽  
J. Nor Ruwaida
Keyword(s):  
Particulate Matter ◽  
Size Distribution ◽  
Palm Oil ◽  
Mass Concentration ◽  
Total Particulate Matter ◽  
Particulate Emission ◽  
Particulate Size ◽  
Particulate Mass ◽  
Palm Oil Mill ◽  
Pm2.5 And Pm10

Utilization of fiber and shell as boiler fuel in palm oil mill industry generates particulate emission that need to be controlled before emitting to the environment. This study investigates the particulate mass size distribution of particulate matter sampled from palm oil mills having different boiler capacities. The particulate emission was performed at the stack following US EPA Method 17 and while the particulate size distribution was determined using particle size analyzer. Results showed that the total particulate mass concentration varied between 0.42 and 3.77 g/Nm3 (corrected at 7% O2). The emitted particulate was mainly found in the coarse particles, with 50% cumulative size distribution ranged from 21 to 38 µm. The particulate mass concentration of PM2.5 and PM10 of the total particulate emission was varied from 0.03 to 0.30 g/Nm3 and 0.37 to 0.73 g/Nm3, respectively. This contributes 0.8 to 71% and 13 to 95% of the total particulate mass concentration, respectively.

scholarly journals Effect of Air Purification Systems on Particulate Matter and Airborne Bacteria in Public Buses

Atmosphere ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 55
Author(s):  
Jae Jung Lee ◽  
Hyemin Hwang ◽  
Suk Chan Hong ◽  
Jae Young Lee
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
South Korea ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
High Efficiency ◽  
Transport Systems ◽  
Air Purification ◽  
Airborne Bacteria ◽  
Pm2.5 And Pm10

The indoor air quality in public transport systems is a major concern in South Korea. Within this context, we investigated the effect of air purification systems on the indoor air quality of intercity buses, one of the most popular transport options in South Korea. Air purifiers were custom designed and equipped with high-efficiency particulate air (HEPA) filters to remove particulate matter and ultraviolet light-emitting diodes (UV-LEDs) to remove airborne bacteria. To investigate the effectiveness of the air purification systems, we compared concentrations of particulate matter (PM2.5 and PM10), airborne bacteria, and carbon dioxide (CO2) in six buses (three with air purification systems and three without) along three bus routes (BUS1, BUS2, BUS3) in Gyeonggi Province, South Korea, between 6 April and 4 May 2021. Compared to the buses without air purification, those with air purification systems showed 34–60% and 25–61% lower average concentrations of PM2.5 and PM10, respectively. In addition, buses with air purification systems had 24–78% lower average airborne bacteria concentrations compared to those without air purification systems (when measured after 30 min of initial purification).

scholarly journals Mass Concentration and Size-distribution of Atmospheric Particulate Matter in Plateau State, Nigeria

2019 ◽  
pp. 701-707
Author(s):  
E. C. Hemba ◽  
E. A. Trisma ◽  
T. J. Ikyumbur
Keyword(s):  
Particulate Matter ◽  
Size Distribution ◽  
Suspended Particulate Matter ◽  
Mass Concentration ◽  
Dry Season ◽  
Atmospheric Particulate Matter ◽  
Atmospheric Particulate ◽  
Suspended Particulate ◽  
Plateau State ◽  
Pm2.5 And Pm10

The mass concentration and size distribution of atmospheric particulate matter (PM) was measured in three major towns in Plateau state. The CW-HAT200 PM2.5, PM10 dust particle counter was used to measure the particle size in each major location within Jos, Shendam and Pankshin. The results revealed that both PM2.5 and PM10 concentration were high in morning hours in most of the measured locations. These values were however found decreasing in the afternoon. The higher value of PM2.5 and PM10 observed in the morning hours in some locations within the study area can be attributed to the high volume of motorists plying the roads during those hours. However, some locations within the study area their PM2.5 and PM10 were higher in the afternoon hours than morning hours. The PM sampling respirable dust sampler (AMP460NL model) was placed on the elevated platform of 1.5 m high and 20 cm away from obstacles in order to avoid any obstruction of the air from tall buildings and trees etc. Measurements were taken after 8-hours per location and the average air flow rate, sample time, initial and final mass of the filter paper were used to calculate the mass concentration of the suspended particulate matter in each locations. The mass concentration of the suspended particulate matter were higher in dry season than in the rain season for all locations. This can be attributed to the dust usually experienced during the dry season on the Plateau.

scholarly journals The Way of Usage and Location in a Big City Agglomeration as Impact Factors of the Nurseries Indoor Air Quality

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7534
Author(s):  
Małgorzata Basińska ◽  
Katarzyna Ratajczak ◽  
Michał Michałkiewicz ◽  
Paweł Fuć ◽  
Maciej Siedlecki
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Co2 Concentration ◽  
Pollutant Emissions ◽  
Impact Factors ◽  
Outdoor Air ◽  
Pm2.5 And Pm10 ◽  
The Impact

The quality of outdoor air in many places, especially in urbanized areas, is bad; therefore, a series of studies aimed at assessing the impact of outdoor air parameters on indoor air quality was conducted. Four nurseries (three buildings) located in different parts of Poznań, Poland were selected as research sites. During the research period, the concentrations of CO2, PM2.5, and PM10 inside and outside the buildings over time were analyzed. Measurements outside the buildings were supplemented with an analysis of traffic near nurseries and an assessment of pollutant emissions from vehicles of various categories. Measurements were conducted during the COVID-19 pandemic in a weekly series during winter (December)—(W), spring (April)—(S), and at the end of spring (June)—(LS). Testing and analyses indicated poor indoor air quality in three out of four nurseries. To ensure indoor air quality at the proper level, it is necessary to supply rooms with outside air. Ventilating rooms by airing, when the outside air is polluted, reduces the CO2 concentration but worsens the indoor air quality in terms of particulate matter (PM). Seasonality in the concentration of particulate matter in outdoor air and its connection with the outside air temperature was noticed. No relationship between traffic and the values of PM10 and CO2 concentrations inside nurseries was observed.

scholarly journals The Determinants of Mass Concentration of Indoor Particulate Matter in a Nursing Home

2010 ◽  
Vol 44-47 ◽  
pp. 3026-3030 ◽  
Author(s):  
Tsung Jung Cheng ◽  
Chih Yi Chang ◽  
Pei Ni Tsou ◽  
Ming Ju Wu ◽  
Yun Shu Feng
Keyword(s):  
Nursing Home ◽  
Particulate Matter ◽  
Relative Humidity ◽  
Mass Concentration ◽  
Explanatory Variables ◽  
Outdoor Environments ◽  
Pm2.5 And Pm10 ◽  
Indoor Particulate Matter ◽  
Indoor Pm2.5 ◽  
Pm2.5 Concentration

The study was conducted to evaluate the determinants of mass concentration of indoor particulate matter in a nursing home located in Taichung, Taiwan. PM2.5, PM10, temperature, relative humidity, CO, CO2, O3 and colony counts were collected in 2 bedrooms and their adjacent outdoor environments from November 2009 to January 2010. The results of multiple regression analysis suggested that the explanatory variables which included outdoor particle concentrations, indoor occupancy, different types of activities and ventilation accounted for 40.9% and 63.4% of the variance in the indoor PM2.5 concentration in Room A which is close to neighboring buildings and Room B which is close to main traffic, respectively. The explanatory variables accounted for 49.1% and 85.5% of the variance in the indoor PM10 concentration in Room A and B, respectively. Moreover, the result of correlation analysis showed that both indoor PM2.5 and PM10 concentrations were correlated to temperature, relative humidity and CO.

Sign in / Sign up

Export Citation Format

Share Document