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.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 6 print issues and online access
$259.00 per year
only $43.17 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Babisch W. Updated exposure–response relationship between road traffic noise and coronary heart diseases: a meta-analysis. Noise Health. 2014;16:1–9.
Broner N. A simple criterion for low-frequency noise emission. Assessment. 2010;29:1–13.
Münzel T, Gori T, Babisch W, Basner M. Cardiovascular effects of environmental noise exposure. Eur Heart J. 2014;35:829–36.
King EA, Murphy E. Environmental noise—“Forgotten” Or “Ignored” Pollutant?. Appl Acoust. 2016;112:211–5.
Passchier-vermeer W, Passchier WF. Noise exposure and public health. Environ Health Perspect. 2000;108:123–31.
Hays J, Mccawley M, Shonkoff SBC. Science of the total environment public health implications of environmental noise associated with unconventional oil and gas development. Sci Total Environ. 2017;580:448–56.
Foraster M, Eze IC, Schaffner E, Vienneau D, Héritier H, Endes S, et al. Exposure to road, railway, and aircraft noise and arterial stiffness in the SAPALDIA study: annual average noise levels and temporal noise characteristics. Environ Health Perspect. 2017;125:1–8.
Roswall N, Raaschou-Nielsen O, Jensen SS, Tjønneland A, Sørensen M. Long-term exposure to residential railway and road traffic noise and risk for diabetes in a Danish cohort. Environ Res. 2018;160:292–7.
Blair BD, Brindley S, Dinkeloo E, Mckenzie LM, Adgate JL Residential noise from nearby oil and gas well construction and drilling. J Expo Sci Environ Epidemiol. 2018. https://doi.org/10.1038/s41370-018-0039-8.
van Kempen E, Babisch W. The quantitative relationship between road traffic noise and hypertension: a meta-analysis. J Hypertens. 2012;30:1075–86.
WHO Burden of Disease from Environemntal Noise: Quantification of Healthy Life Years Lost in Europe; 2011;1–126.
Kardous CA, Shaw PB. Evaluation of smartphone sound measurement applications (apps) using external microphones—a follow-up study. J Acoust Soc Am. 2016;140:EL327–33. https://doi.org/10.1121/1.4964639.
Kardous CA, Shaw PB. Evaluation of smartphone sound measurement. J Acoust Soc Am. 2014;135:186–92.
Murphy E, King EA. Testing the accuracy of smartphones and sound level meter applications for measuring environmental noise. Appl Acoust. 2016;106:16–22.
Murphy E, King EA. Science of the total environment smartphone-based noise mapping: Integrating sound level meter app data into the strategic noise mapping process. Sci Total Environ. 2016;562:852–9.
Roberts B, Kardous C, Neitzel R, Roberts B, Kardous C, Neitzel R. Improving the accuracy of smart devices to measure noise exposure. J Occup Environ Hyg. 2017;13:840–6.
Zamora W, Calafate C, Cano J-C, Manzoni P. Accurate ambient noise assessment using smartphones. Sensors. 2017;17:917.
Roberts Benjamin, Neitzel, Smart RLUsing. Devices to measure intermittent noise in the workplace. Noise Health. 2017;19:58–64.
Maisonneuve N, Stevens M, Niessen ME, Steels L. NoiseTube: Measuring and mapping noise pollution with mobile phones. In: Information technologies in environmental engineering; 2009. p. 215–28.
Boyle MD, Soneja S, Lesliam Quiro s-Alcala LD, Sapkota AR, Thurka Sangaramoorthy SW, Milton D, et al. A pilot study to assess residential noise exposure near natural gas compressor stations. PloS One. 2017;12:1–15.
Radtke C, Autenrieth DA, Lipsey T, Brazile WJ. Noise characterization of oil and gas operations. J Occup Environ Hyg. 2017;14:659–67. https://doi.org/10.1080/15459624.2017.1316386.
Adgate JL, Goldstein BD, McKenzie LM. Potential public health hazards, exposures and health effects from unconventional natural gas development. Environ Sci Technol. 2014;48:8307–20.
Czolowski ED, Santoro RL, Srebotnjak T, Shonkoff SBC. Toward consistent methodology to quantify populations in proximity to oil and gas development: a national spatial analysis and review. Environ Health Perspect. 2017;125:1–11.
McKenzie LM, Allshouse WB, Burke T, Blair BD, Adgate JL. Population size, growth, and environmental justice near oil and gas wells in Colorado. Environ Sci Technol. 2016;50. https://doi.org/10.1021/acs.est.6b04391.
Hayes AF, Krippendorff K. Answering the call for a standard reliability measure for coding data. Commun Methods Meas. 2007;1:77–89.
Landis, JR, Koch GG. The measurement of observer agreement for categorical data. Biomrtrics. 1977;33:159–74.
Gamer, M, Lemon J, Singh IFP. irr: Various Coefficients of Interrater Reliability and Agreement. R Packag version 084;2012.
Gruszczynski M kripp.boot: R wrapper for bootstrap resampling on intercoder reliability data. R Packag version 01;2013.
Kheirbek I, Ito K, Neitzel R, Kim J, Johnson S, Ross Z. et al. Spatial variation in environmental noise and air pollution in New York City. J Urban Health. 2014;91:415–31.
Neitzel RL, Gershon RRM, Mcalexander TP, Magda LA, Pearson JM. Exposures to transit and other sources of noise among New York City residents. Envirom Sci Technol. 2012;46:500–8.
Walther BA, Moore JL. The concepts of bias, precision and accuracy, and their use in testing the performance of species richness estimators, with a literature review of estimator performance. Ecography. 2005;28:815–29.
Eriksson C, Nilsson ME, Willers SM, Gidhagen L, Bellander T, Pershagen G. Traffic noise and cardiovascular health in Sweden: the roadside study. Noise Health. 2012;14:140.
Acknowledgments
Thanks to Kelsey Barton for assistance with the field work and final editing of the manuscript. This work was funded by support from the National Science Foundation (NSF CBET-1240584). Any opinions, findings conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Electronic supplementary material
Rights and permissions
About this article
Cite this article
Blair, B.D., Brindley, S., Hughes, J. et al. Measuring environmental noise from airports, oil and gas operations, and traffic with smartphone applications: laboratory and field trials. J Expo Sci Environ Epidemiol 28, 548–558 (2018). https://doi.org/10.1038/s41370-018-0077-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41370-018-0077-2
Keywords
This article is cited by
-
Inland waterway traffic noise prediction model: a comparison
International Journal of Environmental Science and Technology (2024)