Automatic Real Time Air Monitoring of 85Kr Utilizing the 4096 Memory of a Multiparameter Analyzer

1968 ◽  
Vol 39 (6) ◽  
pp. 853-859 ◽  
Author(s):  
J. D. Ludwick ◽  
J. J. Lashock ◽  
R. E. Connally ◽  
P. W. Nickola
Keyword(s):  
Indoor Air ◽  
2021 ◽  
Author(s):  
Yuan Shao ◽  
Lucy Kavi ◽  
Meleah Boyle ◽  
Lydia M. Louis ◽  
Walkiria Pool ◽  
...  

2015 ◽  
Author(s):  
Ming Fang ◽  
Xiaohong Yao ◽  
Chak-Keung Chan ◽  
Ngai Ting Lau ◽  
Arthur P. S Lau

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3031
Author(s):  
Paul English ◽  
Heather Amato ◽  
Esther Bejarano ◽  
Graeme Carvlin ◽  
Humberto Lugo ◽  
...  

Air monitoring networks developed by communities have potential to reduce exposures and affect environmental health policy, yet there have been few performance evaluations of networks of these sensors in the field. We developed a network of over 40 air sensors in Imperial County, CA, which is delivering real-time data to local communities on levels of particulate matter. We report here on the performance of the Network to date by comparing the low-cost sensor readings to regulatory monitors for 4 years of operation (2015–2018) on a network-wide basis. Annual mean levels of PM10 did not differ statistically from regulatory annual means, but did for PM2.5 for two out of the 4 years. R2s from ordinary least square regression results ranged from 0.16 to 0.67 for PM10, and increased each year of operation. Sensor variability was higher among the Network monitors than the regulatory monitors. The Network identified a larger number of pollution episodes and identified under-reporting by the regulatory monitors. The participatory approach of the project resulted in increased engagement from local and state agencies and increased local knowledge about air quality, data interpretation, and health impacts. Community air monitoring networks have the potential to provide real-time reliable data to local populations.


2017 ◽  
Vol 3 ◽  
pp. 464 ◽  
Author(s):  
Jacob Robert Matz ◽  
Sara Wylie ◽  
Jill Kriesky

How do participants engage in at-home air monitoring in the midst of uncertain exposures to airborne emissions associated with unconventional natural gas development (UNGD) activities? We investigate residents’ experiences with the “Speck” particulate matter sensor with an emerging environmental health resource center called the Southwest Pennsylvania Environmental Health Project (EHP).  In response to the gaps in knowledge about the health impacts of UNGD and the growth citizen science tools, participatory environmental monitoring (PEM) projects have taken off in shale gas communities. Using interview and survey data from residents, advocates, and activists we show that residents use the Speck as: 1) “environmental health thermometers” to make real time decisions based on readings; 2) real-time tools of exposure-validation to immediately validate or invalidate suspicions of exposure; 3) “epistemic objects” or tools manipulated in exploratory ways to understand their efficacy in monitoring UNGD; and 4) passively by those who chose to rarely interact with the monitors and rather waited for overall analysis of results.  While PEM’s have been critiqued for potentially passing the burden of monitoring onto communities, our research shows PEM, when connected with research and public health organizations like EHP, can both empower individuals by increasing their perceived and actual agency and build collective knowledge by producing novel scientific findings. The modes of participation identified here each imply individual and community-level outcomes. When connected with an organization like EHP, Speck monitoring enabled participating individual the latitude to develop their own research and make immediate use of the data, while also creating data useful for aggregated scientific analyses that provoke new questions about the health risks associated with UNGD.


1979 ◽  
Vol 37 (3) ◽  
pp. 379-382
Author(s):  
D. E. Agopsowicz ◽  
G. J. Newton

2014 ◽  
Vol 5 (1) ◽  
pp. 119-128 ◽  
Author(s):  
Seung–Shik Park ◽  
Sung–Yong Cho ◽  
Mi–Ra Jo ◽  
Bu–Joo Gong ◽  
Jin–Soo Park ◽  
...  

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