The Role of Traffic Volume on Sound Pressure Level Reduction before and during COVID-19 Lockdown Measures-A Case Study in Bochum, Germany

Int J Environ Res Public Health. 2023 Mar 13;20(6):5060. doi: 10.3390/ijerph20065060.

Abstract

During the SARS-CoV-2 pandemic, sound pressure levels (SPL) decreased because of lockdown measures all over the world. This study aims to describe SPL changes over varying lockdown measure timeframes and estimate the role of traffic on SPL variations. To account for different COVID-19 lockdown measures, the timeframe during the pandemic was segmented into four phases. To analyze the association between a-weighted decibels (dB(A)) and lockdown phases relative to the pre-lockdown timeframe, we calculated a linear mixed model, using 36,710 h of recording time. Regression coefficients depicting SPL changes were compared, while the model was subsequently adjusted for wind speed, rainfall, and traffic volume. The relative adjusted reduction of during pandemic phases to pre-pandemic levels ranged from -0.99 dB(A) (CI: -1.45; -0.53) to -0.25 dB(A) (CI: -0.96; 0.46). After controlling for traffic volume, we observed little to no reduction (-0.16 dB(A) (CI: -0.77; 0.45)) and even an increase of 0.75 dB(A) (CI: 0.18; 1.31) during the different lockdown phases. These results showcase the major role of traffic regarding the observed reduction. The findings can be useful in assessing measures to decrease noise pollution for necessary future population-based prevention.

Keywords: COVID-19; SPL; acoustic environment; environmental noise; lockdown; mixed-model regression; rainfall; traffic noise; wind speed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants* / analysis
  • Air Pollution* / analysis
  • COVID-19* / epidemiology
  • COVID-19* / prevention & control
  • Communicable Disease Control
  • Environmental Monitoring
  • Humans
  • Noise
  • Pressure
  • SARS-CoV-2

Substances

  • Air Pollutants

Grants and funding

This work was supported by the Mercator Research Center Ruhr (MERCUR) [PR-2018-006], Essen, Germany.