Study of noise pollution in the area surrounding Delta Avenue through the application of Geographic Information Systems. (August 2022)
DOI:
https://doi.org/10.53591/ArTeS.v2.i1.1810Keywords:
Noise pollution, monitoring, noise map, sound level meterAbstract
The present research work evaluated the level of noise pollution in the area surrounding the University of Guayaquil, prioritizing the activity on Delta Avenue. The study was placed in the hourly analysis of morning, afternoon, and night, where it is observed that among the possible causes is the agglomeration of vehicles responsible for the emission of noise due to the excessive use of horns. The methodology focuses on the qualitative and quantitative analysis of the problem using participant observation and noise capture through the application of a sound level meter (dB), exerting groups of influence in certain areas. According to the results, most points in the study area exceed the maximum permissible noise limits. In addition to monitoring, a noise map showing the sound pressure intensities at each point was made using ArcGIS software. It is concluded that noise emissions are in range from very annoying to very loud, for which strategies that prevent the direct passage of noise must be used to maintain the noise state to intrusive and unnoticed, which helps concentration and development. of study activities.
References
studies,” Environ. Res., p. 114249, Dec. 2022, doi: 10.1016/J.ENVRES.2022.114249.
M. E. Godoy, L. Almeida, and C. Villegas, “Análisis sobre espacios verdes en el sector urbanístico. Un comparativo entre Guayaquil, Curitiba, Vitoria-Gasteiz y Boston,” Rev. DELOS, Desarro. Local Sosten., vol. 9, no. 25, 2016.
M. L. Sánchez Padilla, J. R. Hechavarría Hernández, and Y. Portilla Castell, “Systemic Analysis of the Territorial and Urban Planning of Guayaquil,” Lect. Notes Networks Syst., vol. 271, pp. 411–417, 2021, doi: 10.1007/978-3-030-80624-8_51.
O. D. León-Granizo and M. Botto-Tobar, “Predictive Algorithms Analysis to Improve Sustainable Mobility,” Int. J. Informatics Vis., vol. 6, no. 1, pp. 83–89, 2022, doi: 10.30630/joiv.6.1.860.
N. A. Al-Harthy, H. Abugad, N. Zabeeri, A. A. Alghamdi, G. F. Al Yousif, and M. A. Darwish, “Noise Mapping, Prevalence and Risk Factors of Noise-Induced Hearing Loss among Workers at Muscat International Airport,” Int. J. Environ. Res. Public Health, vol. 19, no. 13, Jul. 2022, doi: 10.3390/IJERPH19137952.
B. A. Colorado Pástor, M. M. Fois Lugo, M. Leyva Vázquez, and J. R. Hechavarría Hernández, “Proposal of a Technological Ergonomic Model for People with Disabilities in the Public Transport System in Guayaquil,” 2020, pp. 831–843. doi: 10.1007/978-3-030-19135-1_81.
J. C. Cobos-Torres, R. Ramos, J. C. Ortega Castro, and M. F. Ortega Lopez, “Hearing Loss and Its Association with Clinical Practice at Dental University Students Through Mobile APP: A Longitudinal Study,” Adv. Intell. Syst. Comput., vol. 1099, pp. 3–17, 2020, doi: 10.1007/978-3-030-35740-5_1.
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