Open AccessAnnoyance evaluation of noise emitted by urban substation
Author(s) -
Jun Li,
Li Li,
Yongxiang Zhang,
Zhigang Chu,
X. Fan
Publication year - 2021
Publication title -
journal of low frequency noise, vibration and active control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.419
H-Index - 25
eISSN - 2048-4046
pISSN - 1461-3484
DOI - 10.1177/14613484211014324
Subject(s) - annoyance , noise (video) , regression analysis , noise pollution , semantic differential , environmental science , statistics , computer science , engineering , transport engineering , noise reduction , mathematics , artificial intelligence , image (mathematics) , computer vision , loudness
In China, noise pollution from substations in urban areas is becoming more and more serious. An annoyance evaluation of the noise emitted by urban substations is presented. First, the subjective evaluation is conducted on the noise samples from urban substations via the semantic differential method. Subsequently, according to the typical characteristics of urban substation noise, 14 acoustical metrics are used to describe the noise samples for objective evaluation. Then the correlation analysis and regression analysis between the objective and subjective evaluation results are carried out. Finally, a regression model for urban substation noise evaluation is established. Practical application shows that the regression model can correctly predict the subjective annoyance of urban substation noise.