Review of "A low-cost PM2.5 monitor for wildland fire smoke" submittal

2017 ◽  
Author(s):  
Anonymous
Keyword(s):  
Low Cost ◽  
2017 ◽  
Author(s):  
Scott Kelleher ◽  
Casey Quinn ◽  
Daniel Miller-Lionberg ◽  
John Volckens

2018 ◽  
Vol 11 (2) ◽  
pp. 1087-1097 ◽  
Author(s):  
Scott Kelleher ◽  
Casey Quinn ◽  
Daniel Miller-Lionberg ◽  
John Volckens

Abstract. Wildfires and prescribed fires produce emissions that degrade visibility and are harmful to human health. Smoke emissions and exposure monitoring is critical for public and environmental health protection; however, ground-level measurements of smoke from wildfires and prescribed fires has proven difficult, as existing (validated) monitoring technologies are expensive, cumbersome, and generally require line power. Few ground-based measurements are made during fire events, which limits our ability to assess the environmental and human health impacts of wildland fire smoke. The objective of this work was to develop and validate an Outdoor Aerosol Sampler (OAS) – a filter-based air sampler that has been miniaturized, solar powered, and weatherproofed. This sampler was designed to overcome several of the technical challenges of wildland fire monitoring by being relatively inexpensive and solar powered. The sampler design objectives were achieved by leveraging low-cost electronic components, open-source programming platforms, and in-house fabrication methods. A direct-reading PM2.5 sensor was selected and integrated with the OAS to provide time-resolved concentration data. Cellular communications established via short message service (SMS) technology were utilized in transmitting online sensor readings and controlling the sampling device remotely. A Monte Carlo simulation aided in the selection of battery and solar power necessary to independently power the OAS, while keeping cost and size to a minimum. Thirteen OAS were deployed to monitor smoke concentrations downwind from a large prescribed fire. Aerosol mass concentrations were interpolated across the monitoring network to depict smoke concentration gradients in the vicinity of the fire. Strong concentration gradients were observed (spatially and temporally) and likely present due to a combination of changing fire location and intensity, topographical features (e.g., mountain ridges), and diurnal weather patterns. Gravimetric filter measurements made by the OAS (when corrected for filter collection efficiency) showed relatively good agreement with measurements from an EPA federal equivalent monitor. However, the real-time optical sensor (Sharp GP2Y1023AU0F, Sharp Electronic Co.) within the OAS suffered from temperature dependence, drift, and imprecision.


2017 ◽  
Author(s):  
Scott Kelleher ◽  
Casey Quinn ◽  
Daniel Miller-Lionberg ◽  
John Volckens

Abstract. Wildfires and prescribed fires produce emissions that degrade visibility and are harmful to human health. Smoke emissions and exposure monitoring is critical for public and environmental health protection; however, ground-level measurements of smoke from wildfires and prescribed fires has proven difficult, as existing (validated) monitoring technologies are expensive, cumbersome, and generally require line power. Few ground-based measurements are made during fire events, which limits our ability to assess the environmental and human health impacts of wildland fire smoke. The objective of this work was to develop and validate an Outdoor Aerosol Sampler (OAS) – a filter-based air sampler that has been miniaturized and weatherproofed. This sampler was designed to overcome several of the technical challenges of wildland fire monitoring by being relatively inexpensive and solar powered. The sampler design objectives were achieved by leveraging low-cost electronic components, open-source programming platforms, and in-house fabrication methods. A direct-reading PM2.5 sensor was selected and integrated with the OAS to provide time-resolved concentration data. Cellular communications established via Short Message Service (SMS) technology were utilized in transmitting online sensor readings and controlling the sampling device remotely. A Monte Carlo simulation aided in the selection of battery and solar power necessary to independently power the OAS, while keeping cost and size to a minimum. Thirteen OAS were deployed to monitor smoke concentrations downwind from a large prescribed fire. Aerosol mass concentrations were interpolated across the monitoring network to depict smoke concentration gradients in the vicinity of the fire. Strong concentration gradients were observed (spatially and temporally) and likely present due to a combination of changing fire location and intensity, topographical features (e.g. mountain ridges), and diurnal weather patterns. Gravimetric filter measurements made by the OAS (when corrected for filter collection efficiency) showed relatively good agreement with measurements from an EPA federal equivalent monitor. However, the real-time optical sensor (Sharp GP2Y1023AU0F) within the OAS suffered from temperature dependence, drift, and imprecision.


2019 ◽  
Vol 75 (2) ◽  
pp. 65-69 ◽  
Author(s):  
Chieh-Ming Wu ◽  
Anna Adetona ◽  
Chi (Chuck) Song ◽  
Luke Naeher ◽  
Olorunfemi Adetona

Toxicology ◽  
2007 ◽  
Vol 236 (1-2) ◽  
pp. 103-113 ◽  
Author(s):  
Stephen S. Leonard ◽  
Vince Castranova ◽  
Bean T. Chen ◽  
Diane Schwegler-Berry ◽  
Mark Hoover ◽  
...  

2019 ◽  
Author(s):  
Patricia Koman ◽  
Michael Billmire ◽  
Kirk Baker ◽  
Ricardo De Majo ◽  
Frank Anderson ◽  
...  

2016 ◽  
Vol 28 (3) ◽  
pp. 95-139 ◽  
Author(s):  
Olorunfemi Adetona ◽  
Timothy E. Reinhardt ◽  
Joe Domitrovich ◽  
George Broyles ◽  
Anna M. Adetona ◽  
...  

2021 ◽  
Vol 9 ◽  
Author(s):  
Gilliane Davison ◽  
Karoline K. Barkjohn ◽  
Gayle S. W. Hagler ◽  
Amara L. Holder ◽  
Sarah Coefield ◽  
...  

Effective strategies to reduce indoor air pollutant concentrations during wildfire smoke events are critically needed. Worldwide, communities in areas prone to wildfires may suffer from annual smoke exposure events lasting from days to weeks. In addition, there are many areas of the world where high pollution events are common and where methods employed to reduce exposure to pollution may have relevance to wildfire smoke pollution episodes and vice versa. This article summarizes a recent virtual meeting held by the United States Environmental Protection Agency (EPA) to share research, experiences, and other information that can inform best practices for creating clean air spaces during wildland fire smoke events. The meeting included presentations on the public health impacts of wildland fire smoke; public health agencies' experiences and resilience efforts; and methods to improve indoor air quality, including the effectiveness of air filtration methods [e.g., building heating ventilation and air conditioning (HVAC) systems and portable, free-standing air filtration systems]. These presentations and related research indicate that filtration has been demonstrated to effectively improve indoor air quality during high ambient air pollution events; however, several research questions remain regarding the longevity and maintenance of filtration equipment during and after smoke events, effects on the pollution mixture, and degree to which adverse health effects are reduced.


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