Tracking Noise Pollution through Mobile Microphones
DOI:
https://doi.org/10.46610/JoAESP.2025.v02i02.003Keywords:
Citizen science, Decibel measurement, Environmental monitoring, Mobile microphones, Noise capture app, Noise hotspots, Noise pollution, Urban sound mappingAbstract
This research work is an investigation into the viability of employing mobile microphones in monitoring urban noise pollution. The continuous expansion of cities and urban growth with no apparent end in sight is complemented by an equivalent increase in the levels of environmental noise, thereby raising serious environmental, social, and health issues. Traditional noise monitoring systems tend to be fixed, expensive, and have limited coverage in space, and they are very resource-and skill-intensive. By contrast, mobile-based applications offer a cheaper, scalable, and easily accessible option that can facilitate greater public participation and real-time monitoring of the environment.
In general, this research verifies that mobile phone noise monitoring is a feasible, efficient, and community-based solution for identifying and resolving noise pollution. It encourages sustainable environmental practice, citizen engagement, and smart city planning through low-cost and easily available cell phone technology.
References
World Health Organization, “Environmental noise guidelines for the European Region,” WHO Regional Office for Europe, Copenhagen, Denmark, Tech. Rep., 2018. Available: https://www.who.int/europe/publications/i/item/9789289053563
E. D’Hondt, M. Stevens, and A. Jacobs, “Participatory noise mapping works! An evaluation of participatory sensing as an alternative to standard techniques for environmental monitoring,” Pervasive Mobile Computing, vol. 9, no. 5, pp. 681–694, Oct. 2013, doi: https://doi.org/10.1016/j.pmcj.2012.09.002
N. Maisonneuve, M. Stevens, M. E. Niessen, P. Hanappe, and L. Steels, “Citizen noise pollution monitoring,” in Proc. of the 10th Annu. Int. Conf. on Digital Government Research, Puebla, Mexico, 2009, pp. 96–103. Available: https://www.researchgate.net/publication/221584801
E. Kanjo, “NoiseSPY: A real-time mobile phone platform for urban noise monitoring and mapping,” Mobile Netw. Appl., vol. 15, no. 4, pp. 562–574, Aug. 2010, doi: https://doi.org/10.1007/s11036-009-0217-y
A. Bardoutsos, G. Filios, I. Katsidimas, T. Krousarlis, S. Nikoletseas, and P. Tzamalis, “A multidimensional human-centric framework for environmental intelligence: Air pollution and noise in smart cities,” 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), Marina del Rey, CA, USA, 2020, pp. 155-164, doi: https://doi.org/10.1109/DCOSS49796.2020.00036
J. Cai, D. Ee, A. H. Lau, R. S. Mason, and S. Gage, “Acoustic sensor networks for environmental monitoring,” SenSys ’07: Proceedings of the 5th international conference on Embedded networked sensor systems, Nov. 06, 2007, doi: https://doi.org/10.1145/1322263.1322310
A. G. Khadke, G. R. Bamnote, and S. W. Ahmad, “Machine learning for prediction of noise pollution,” International Journal of Creative Research Thoughts (IJCRT), vol. 8, no. 9, pp. 1324-1332, Sep. 2020, Available: https://www.ijcrt.org/papers/IJCRT2009175.pdf
A. L. Padilla-Ortiz, F. A. Machuca-Tzili, and D. Ibarra-Zarate, “Smartphones, a tool for noise monitoring and noise mapping: an overview,” International Journal of Environmental Science and Technology, vol. 20, pp. 3521–3536, May 2022, doi: https://doi.org/10.1007/s13762-022-04240-6
G. Brambilla and F. Pedrielli, “Smartphone-based participatory soundscape mapping for a more sustainable acoustic environment,” Sustainability, vol. 12, no. 19, p. 7899, Sep. 2020, doi: https://doi.org/10.3390/su12197899
R. Rana, C. T. Chou, S. S. Kanhere, N. Bulusu, and W. Hu, “Ear-Phone: an end-Ao-end participatory urban noise mapping system,” IPSN '10: Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, Stockholm, Sweden, 2010, pp. 105–116, doi: https://doi.org/10.1145/1791212.1791226
