Keywords
Bản đồ tiếng ồn
Môi trường lao động
Tiếng ồn công nghiệp
Mạng nơ-ron hàm cơ sở xuyên tâm Noise pollution
Noise mapping
Working environment
Industrial noise
Radial basis function neural network
Working Languages
How to Cite
Abstract
Controlling noise in the workplace is essential for human health and the surrounding environment. The level of harmful noise is considered the tolerance threshold for workers. This study aims to build a spatial distribution map of noise levels using calculated data based on noise models. A plastic manufacturing industrial park in Hai Phong City was selected, and sound pressure levels were measured at sixty points in the industrial park. Measurements were taken during the Morning hours (8:00 a.m - 10:00 a.m) with noise levels from 37.5 to 95.2 dBA, at Midday (11:30 a.m - 1:30 p.m) from 17.0 to 74.0 dBA and during the Afternoon hours (2:00 p.m - 4:00 p.m) between 38.7 and 100 dBA. The noise level data collected from the industrial park was mapped using a radial basis function (RBF) neural network model. The results also indicate that the working environment in the industrial park is moderate, meaning that prolonged exposure to these levels can affect workers' health and quality of life. A feasible proposal is suggested to reduce noise levels in the area to permissible values to improve the quality of the working environment