2020
DOI: 10.3390/s20113031
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 oper… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 12 publications
(6 citation statements)
references
References 26 publications
0
6
0
Order By: Relevance
“…Moreover, dense LC networks can be useful for addressing current limitations in the spatial coverage of government air monitoring, to provide real‐time warnings of high pollution episodes to vulnerable populations (Seto et al, 2019). For example, within a 5‐month LC monitoring campaign in the Imperial Valley (CA, USA), more than 50% of PM 2.5 critical episodes identified by the 38 community stations were not observed by the government monitors (English et al, 2020; Seto et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, dense LC networks can be useful for addressing current limitations in the spatial coverage of government air monitoring, to provide real‐time warnings of high pollution episodes to vulnerable populations (Seto et al, 2019). For example, within a 5‐month LC monitoring campaign in the Imperial Valley (CA, USA), more than 50% of PM 2.5 critical episodes identified by the 38 community stations were not observed by the government monitors (English et al, 2020; Seto et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…This trend of cost-effective air quality monitoring includes user-oriented data services and education about air pollution and climate change to best exploit the knowledge and information content of measured data. Local authorities already use such data (e.g., English, 2020) for identifying emission hot spots, management of city infrastructure and road traffic management towards improving air quality.…”
Section: Applicability Of Sensor Observationsmentioning
confidence: 99%
“…In one community, data from a network of sensors are being used for local decision making. The data are categorized using a scale similar to the Air Quality Index (AQI) that provides public health recommendations and enables local schools to use this information to make decisions regarding outdoor activities [ 42 ]. There are also examples of sensors being used as “environmental health thermometers” for real-time decision making such as validating or invalidating suspected exposures to local sources [ 43 ].…”
Section: Introductionmentioning
confidence: 99%
“…The resources in the toolkit have the advantage of leveraging the results of a large-scale (nearly 400 sensor units deployed and over 350 community members engaged), long-term (with sensor deployments lasting up to three years) project conducted with 14 different California communities. The scope and scale, in particular, make this project unique compared to similar efforts [ 42 , 48 ]. The results of this project and the development of the educational toolkit are discussed to provide future CCS air quality projects and programs with the knowledge necessary to use and apply sensing technology and available resources to effectively and efficaciously engage, educate, and empower the public in air monitoring efforts.…”
Section: Introductionmentioning
confidence: 99%