Urban Noise Pollution: A Dataset for Spatiotemporal and Environmental Analysis | ||||
| Journal of Artificial Intelligence in Engineering Practice | ||||
| Volume 1, Issue 2, November 2024, Page 72-81 PDF (728.79 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jaiep.2024.421438 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Marwa M. Eid1; Anis Ben Ghorbal2; Ehab M. ALmetwally 2; Ibrahim Elbatal2
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| 1Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura 11152, Egypt | ||||
| 2Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia | ||||
| Abstract | ||||
| To establish noise pollution levels in El Mansoura, Egypt during 2023, the current study utilizes all around acoustic data acquired from May to December. Concerning noise control in urban areas, the study focuses on change over time, environmental conditions, as well as legal requirements. The analysis of the 1465 measurements provided the following results: Mean equivalent sound pressure level of 81.73 dB That exceeded the recommended level by 10 dB; 95.9% of all the measurements exceeded regulatory levels. Crosstabulation tests further revealed the influences of noise pollution by vehicle count, types of road and time of day. Midday had the highest noise level at 96.62 and the least at night at 61.31. Density zones and areas with high traffic revealed the highest noise pollution. In proving its findings, the study shows that noise pollution is a serious issue in El Mansoura and offers practical suggestions for acoustic control, urban development guidelines, and improved legislation to enhance the quality of the acoustic environment and ultimately the health standards within the city. | ||||
| Keywords | ||||
| Urban noise pollution; Environmental dataset; Spatiotemporal analysis; Traffic density; Developing cities; Noise monitoring; Public health; Environmental acoustics | ||||
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