2018
DOI: 10.1029/2018gh000136
|View full text |Cite
|
Sign up to set email alerts
|

Impact of California Fires on Local and Regional Air Quality: The Role of a Low‐Cost Sensor Network and Satellite Observations

Abstract: PM 2.5 , or fine particulate matter, is a category of air pollutant consisting of particles with effective aerodynamic diameter equal to or less than 2.5 μm. These particles have been linked to human health impacts as well as regional haze, visibility, and climate change issues. Due to cost and space restrictions, the U.S. Environmental Protection Agency monitoring network remains spatially sparse. To increase the spatial resolution of monitoring, previous studies have used satellite dat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

5
98
1

Year Published

2019
2019
2023
2023

Publication Types

Select...
4
3
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 140 publications
(104 citation statements)
references
References 27 publications
5
98
1
Order By: Relevance
“…Research teams have used these networks to identify local risks to health, with the potential to offset the relative inaccuracy (compared to regulatory monitoring systems) with sheer number of sensors and with the ground-level data that these sensors provide. An example of such an application is from the Santa Rosa, California fire of October 2017 (Gupta et al, 2018), where researchers used the PurpleAir network and compared results to the few scattered regulator monitors and with satellite-based analysis of 10.1029/2018GH000167 GeoHealth Atmospheric Optical Density (AOD) of PM 2.5 . This nested approach has the advantage of utilizing each technique to its maximum potential, with (1) PurpleAir monitors being of lower accuracy and precision as regulatory monitors for PM 2.5 but capable of measuring this particulate at the personal level and on rapid timescales; (2) regulatory monitors being very widely spaced with placement specifically designed to capture regional air quality, but with data of high quality; and (3) satellitebased sensors measuring the total atmospheric load of PM 2.5 rather than just ground-level data but having a broad coverage and including other meta-data (e.g., IR to capture locations of active fires).…”
Section: Case Study 4 Sensors Everywherementioning
confidence: 99%
“…Research teams have used these networks to identify local risks to health, with the potential to offset the relative inaccuracy (compared to regulatory monitoring systems) with sheer number of sensors and with the ground-level data that these sensors provide. An example of such an application is from the Santa Rosa, California fire of October 2017 (Gupta et al, 2018), where researchers used the PurpleAir network and compared results to the few scattered regulator monitors and with satellite-based analysis of 10.1029/2018GH000167 GeoHealth Atmospheric Optical Density (AOD) of PM 2.5 . This nested approach has the advantage of utilizing each technique to its maximum potential, with (1) PurpleAir monitors being of lower accuracy and precision as regulatory monitors for PM 2.5 but capable of measuring this particulate at the personal level and on rapid timescales; (2) regulatory monitors being very widely spaced with placement specifically designed to capture regional air quality, but with data of high quality; and (3) satellitebased sensors measuring the total atmospheric load of PM 2.5 rather than just ground-level data but having a broad coverage and including other meta-data (e.g., IR to capture locations of active fires).…”
Section: Case Study 4 Sensors Everywherementioning
confidence: 99%
“…PM 2.5 also results from biomass burning and is the main component of wildfire smoke with the biggest impact on public health related to short‐term exposure (Gan et al, ; Gupta et al, ; Liu et al, ; McClure & Jaffe, ). In the United States, McClure and Jaffe () observed a downward trend in PM 2.5 during the last three decades, except in regions that were prone to wildfires.…”
Section: Introductionmentioning
confidence: 99%
“…PM 2.5 from anthropogenic sources in the United States, including Southern California (SoCal), has decreased in the past decades due to policy implementation (Lurmann et al, 2015;McClure & Jaffe, 2018). PM 2.5 also results from biomass burning and is the main component of wildfire smoke with the biggest impact on public health related to short-term exposure (Gan et al, 2017;Gupta et al, 2018;Liu et al, 2015;McClure & Jaffe, 2018). In the United States, McClure and Jaffe (2018) observed a downward trend in PM 2.5 during the last three decades, except in regions that were prone to wildfires.…”
Section: Introductionmentioning
confidence: 99%
“…The burned area in Southern California has been increasing since 1980 (Westerling et al, 2006) and is expected to increase further with future climate change (Jin et al, 2015;Yue et al, 2014). Wildfires can claim lives, destroy homes and properties, and result in hazardous air pollution conditions at local to regional scales (Gupta et al, 2018). Fine particulate matter (PM 2.5 ) from wildfires has been associated with cardiorespiratory symptoms (Cascio, 2018;Thelen et al, 2013;Youssouf et al, 2014) and mortality (Cascio, 2018), with varying degree of impacts and uncertainty.…”
Section: Introductionmentioning
confidence: 99%