scholarly journals Real Time Air Monitoring Using Open-Path FTIR

10.2172/1351 ◽  
1998 ◽  
Author(s):  
D.S Gamiles
Keyword(s):  
Real Time ◽  
Air Monitoring ◽  
Open Path

Real‐time air monitoring of occupational exposures to particulate matter among hairdressers in Maryland: A pilot study

Indoor Air ◽  
2021 ◽  
Author(s):  
Yuan Shao ◽  
Lucy Kavi ◽  
Meleah Boyle ◽  
Lydia M. Louis ◽  
Walkiria Pool ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Pilot Study ◽  
Real Time ◽  
Occupational Exposures ◽  
Air Monitoring

Use of open-path FTIR spectroscopy to address air monitoring needs during site remediations

1999 ◽  
Vol 9 (3) ◽  
pp. 79-92 ◽  
Author(s):  
Timothy R. Minnich ◽  
Robert L. Scotto
Keyword(s):  
Ftir Spectroscopy ◽  
Air Monitoring ◽  
Open Path

Open-path FTIR air monitoring of phosphine around large fumigated structures

2001 ◽  
Vol 5 (3) ◽  
pp. 116-120 ◽  
Author(s):  
Tommy G. Thorn ◽  
Timothy L. Marshall ◽  
Charles T. Chaffin
Keyword(s):  
Air Monitoring ◽  
Open Path

Street level air quality data collected by the Mobile Real-time Air Monitoring Platform (MAP)

2015 ◽  
Author(s):  
Ming Fang ◽  
Xiaohong Yao ◽  
Chak-Keung Chan ◽  
Ngai Ting Lau ◽  
Arthur P. S Lau
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Air Monitoring ◽  
Quality Data ◽  
Street Level ◽  
Air Quality Data ◽  
Monitoring Platform

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):  
Real Time ◽  
Air Monitoring

scholarly journals Performance of a Low-Cost Sensor Community Air Monitoring Network in Imperial County, CA

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3031
Author(s):  
Paul English ◽  
Heather Amato ◽  
Esther Bejarano ◽  
Graeme Carvlin ◽  
Humberto Lugo ◽  
...  
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Monitoring Network ◽  
Data Interpretation ◽  
Air Monitoring ◽  
Least Square ◽  
Quality Data ◽  
Monitoring Networks ◽  
Time Data ◽  
Ordinary Least Square Regression

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.

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