Using low cost open-face passive samplers to sample PM concentration and elemental composition in childcare facilities

2020 ◽  
Vol 22 (7) ◽  
pp. 1502-1513
Author(s):  
Zhong-Min Wang ◽  
Yixin Zhou ◽  
Fraser W. Gaspar ◽  
Asa Bradman

Effective, low noise and low-cost samplers for airborne particulate matter (PM) in indoor environments are needed.

1997 ◽  
Vol 31 (8) ◽  
pp. 1185-1193 ◽  
Author(s):  
Nicole A.H. Janssen ◽  
Dimphe F.M. Van Mansom ◽  
Katinka Van Der Jagt ◽  
Hendrik Harssema ◽  
Gerard Hoek

Air Pollution ◽  
2010 ◽  
pp. 277-296
Author(s):  
Rajasekhar Balasubramanian ◽  
See Wei ◽  
Sathrugnan Karthikeyan

Author(s):  
Mansour A. Alghamdi Mansour A. Alghamdi

. Metabolic syndrome is a serious problem in Saudi Arabia. It has been attributed mainly to life style. Exposure to airborne particulate matter is a subject of concern in Jeddah. The present study aimed to find a possible association of metabolic syndrome prevalence with levels of particulate matter and their elemental constituents. The study was conducted in two districts of Jeddah, Al Nuzlah and Al Rehab. PM10 and PM2.5 were measured in each district as well as their elemental composition. Metabolic syndrome was defined by the presence of three components: hyperglycemia, hypertension and obesity. Al Nuzlah district showed higher prevalence of metabolic syndrome, together with higher levels of PM2.5, nickel and cadmium. It can be concluded that exposure to particulate matter may be considered as an additional risk factor for metabolic syndrome.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Caroline Kiai ◽  
Christopher Kanali ◽  
Joseph Sang ◽  
Michael Gatari

Air pollution is one of the most important environmental and public health concerns worldwide. Urban air pollution has been increasing since the industrial revolution due to rapid industrialization, mushrooming of cities, and greater dependence on fossil fuels in urban centers. Particulate matter (PM) is considered to be one of the main aerosol pollutants that causes a significant adverse impact on human health. Low-cost air quality sensors have attracted attention recently to curb the lack of air quality data which is essential in assessing the health impacts of air pollutants and evaluating land use policies. This is mainly due to their lower cost in comparison to the conventional methods. The aim of this study was to assess the spatial extent and distribution of ambient airborne particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) in Nairobi City County. Seven sites were selected for monitoring based on the land use type: high- and low-density residential, industrial, agricultural, commercial, road transport, and forest reserve areas. Calibrated low-cost sensors and cyclone samplers were used to monitor PM2.5 concentration levels and gravimetric measurements for elemental composition of PM2.5, respectively. The sensor percentage accuracy for calibration ranged from 81.47% to 98.60%. The highest 24-hour average concentration of PM2.5 was observed in Viwandani, an industrial area (111.87 μg/m³), and the lowest concentration at Karura (21.25 μg/m³), a forested area. The results showed a daily variation in PM2.5 concentration levels with the peaks occurring in the morning and the evening due to variation in anthropogenic activities and the depth of the atmospheric boundary layer. Therefore, the study suggests that residents in different selected land use sites are exposed to varying levels of PM2.5 pollution on a regular basis, hence increasing the potential of causing long-term health effects.


2001 ◽  
Vol 11 (01n02) ◽  
pp. 61-67 ◽  
Author(s):  
J. FLORES M. ◽  
F. ALDAPE

The contribution to the atmospheric pollution in Mexico City's conurbation that comes from the northern area has been considered significant for a long time. Therefore, it is important to determine its elemental composition as well as their correlation in sites along the suspected trajectories of airborne particulate matter. Samples were collected simultaneously in two sampling sites along the prevailing wind trajectory in northern Mexico City, and its elemental composition were determined by PIXE. The Sample collection was performed daily from 17 February 14 March 1997 in Xalostoc, an industrial zone in the State of Mexico, and Ticomán within Mexico City. Two samples a day were taken in two periods: 7-19 h and 19-7 h. The samplers used separated particles into two particle size fractions fractions, PM25 and PM15. Three main correlation group of elemental concentrations were determined: fuel combustion, earth crust and industrial origin. The sampling site within Mexico City, Ticomán, was found with an overall tendency of higher elemental concentrations, showing not only influence of local pollution sources, but also that of wind transported particles from neighboring industrial zones such as Xalostoc.


Heliyon ◽  
2020 ◽  
Vol 6 (6) ◽  
pp. e04207 ◽  
Author(s):  
Opeyemi R. Omokungbe ◽  
Olusegun G. Fawole ◽  
Oyediran K. Owoade ◽  
Olalekan A.M. Popoola ◽  
Roderic L. Jones ◽  
...  

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