Literature DB >> 27115622

Smartphone-based noise mapping: Integrating sound level meter app data into the strategic noise mapping process.

Enda Murphy1, Eoin A King2.   

Abstract

The strategic noise mapping process of the EU has now been ongoing for more than ten years. However, despite the fact that a significant volume of research has been conducted on the process and related issues there has been little change or innovation in how relevant authorities and policymakers are conducting the process since its inception. This paper reports on research undertaken to assess the possibility for smartphone-based noise mapping data to be integrated into the traditional strategic noise mapping process. We compare maps generated using the traditional approach with those generated using smartphone-based measurement data. The advantage of the latter approach is that it has the potential to remove the need for exhaustive input data into the source calculation model for noise prediction. In addition, the study also tests the accuracy of smartphone-based measurements against simultaneous measurements taken using traditional sound level meters in the field.
Copyright © 2016 Elsevier B.V. All rights reserved.

Keywords:  Environmental noise directive; Noise mapping; Smartphone noise apps

Mesh:

Year:  2016        PMID: 27115622     DOI: 10.1016/j.scitotenv.2016.04.076

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Noise Source Visualization Using a Digital Voice Recorder and Low-Cost Sensors.

Authors:  Yong Thung Cho
Journal:  Sensors (Basel)       Date:  2018-04-03       Impact factor: 3.576

Review 2.  Low-Cost Sensors for Urban Noise Monitoring Networks-A Literature Review.

Authors:  Judicaël Picaut; Arnaud Can; Nicolas Fortin; Jeremy Ardouin; Mathieu Lagrange
Journal:  Sensors (Basel)       Date:  2020-04-16       Impact factor: 3.576

Review 3.  Assessing the Exposome with External Measures: Commentary on the State of the Science and Research Recommendations.

Authors:  Michelle C Turner; Mark Nieuwenhuijsen; Kim Anderson; David Balshaw; Yuxia Cui; Genevieve Dunton; Jane A Hoppin; Petros Koutrakis; Michael Jerrett
Journal:  Annu Rev Public Health       Date:  2017-03-20       Impact factor: 21.981

4.  Identifying Asbestos-Containing Materials in Homes: Design and Development of the ACM Check Mobile Phone App.

Authors:  Matthew Hayden Govorko; Lin Fritschi; James White; Alison Reid
Journal:  JMIR Form Res       Date:  2017-12-14

5.  A Digital Signal Processor Based Acoustic Sensor for Outdoor Noise Monitoring in Smart Cities.

Authors:  Juan Manuel López; Jesús Alonso; César Asensio; Ignacio Pavón; Luis Gascó; Guillermo de Arcas
Journal:  Sensors (Basel)       Date:  2020-01-22       Impact factor: 3.576

6.  In-Vehicle Situation Monitoring for Potential Threats Detection Based on Smartphone Sensors.

Authors:  Alexey Kashevnik; Andrew Ponomarev; Nikolay Shilov; Andrey Chechulin
Journal:  Sensors (Basel)       Date:  2020-09-05       Impact factor: 3.576

  6 in total

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