Literature DB >> 30283068

Measuring environmental noise from airports, oil and gas operations, and traffic with smartphone applications: laboratory and field trials.

Benjamin D Blair1, Stephen Brindley1, John Hughes1, Eero Dinkeloo1, Lisa M McKenzie, John L Adgate2.   

Abstract

Environmental noise from sources such as traffic, airports, and oil and gas (O&G) operations is associated with nuisance and health concerns. Smartphones with external microphones have been recommended for environmental noise monitoring and may be useful tools for citizen science, but are not validated against reference methods. We evaluated laboratory performance of three smartphone/application (app) configurations recommended for environmental noise measurement. Two smartphone/app configurations were also compared to a reference sampler, a type 1 sound level meter (SLM) at ten outdoor sites with traffic, airport, and O&G noise. To evaluate performance, we compared the mean squared error, variance, bias, and Krippendorff's Alpha by smartphone/app combination and testing location for both audible (A-weighted) and low-frequency (C-weighted) noise. We observed that laboratory measurements were in strong agreement with a reference sampler. The field A-weighted noise level results had strong agreement with the SLM at several outdoor sites, but our C-weighted noise results ranged from moderate to substantial agreement. For our tested configurations, we find that smartphones with external microphones are reliable proxies for measuring A- and C-weighted noise in a laboratory setting. Outdoor performance depends on noise source type, weighting, and precision and accuracy needs of the investigation.

Entities:  

Keywords:  A-weighted; C-weighted; Citizen science; Environmental noise; Noise pollution; Smartphone

Mesh:

Year:  2018        PMID: 30283068     DOI: 10.1038/s41370-018-0077-2

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  1 in total

1.  Towards the Interpretation of Sound Measurements from Smartphones Collected with Mobile Crowdsensing in the Healthcare Domain: An Experiment with Android Devices.

Authors:  Robin Kraft; Manfred Reichert; Rüdiger Pryss
Journal:  Sensors (Basel)       Date:  2021-12-28       Impact factor: 3.576

  1 in total

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