Urban Noise Pollution: A Dataset for Spatiotemporal and Environmental Analysis

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.

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Publication Details

Journal
Journal of Artificial Intelligence in Engineering Practice.
Published
2024-11-01
DOI
https://doi.org/10.21608/jaiep.2024.421438
Citations
1
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.87
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article

Urban Noise Pollution: A Dataset for Spatiotemporal and Environmental Analysis

Ehab Mohamed Almetwally, Marwa M. Eid, Ibrahim Elbatal, Anis Ben Ghorbal
1 citations
Journal of Artificial Intelligence in Engineering Practice.
Noise Effects and Management
0.87
article

Urban Noise Pollution: A Dataset for Spatiotemporal and Environmental Analysis

Ehab Mohamed Almetwally, Marwa M. Eid, Ibrahim Elbatal, Anis Ben Ghorbal
article en
1 citations

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.

Journal of Artificial Intelligence in Engineering Practice.Vol. 1(2)
Imam Mohammad ibn Saud Islamic University (SA), Delta University for Science and Technology (EG)
Sustainable cities and communities, Climate action
Openalex Percentile: Top 18%
Noise Effects and Management
0.87
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Urban Noise Pollution: A Dataset for Spatiotemporal and Environmental Analysis — Ehab Mohamed Almetwally, Marwa M. Eid, et al. · Journal of Artificial Intelligence in Engineering Practice. (2024) | TGRS Research Map | TGRS