| Noise reduction by plants is a way of reducing carbon and noise at a low cost, which can effectively improve the urban acoustic environment. However, existing plant noise reduction influencing factors and prediction models are primarily focused on the level of plant communities, ignoring the important role of differences between tree species in the process of noise control at different frequencies, making effective urban traffic noise prevention and control difficult to meet. Therefore, this study begins with plant trunks, proposes a method for quantifying trunk and bark roughness, measures the absorption of 13 tree species for the traffic noise spectrum characteristics system, and simulates the noise reduction effect. First, the spectral characteristics of the trunk sound absorption coefficient were measured, and the trunk's main absorption frequency range was determined to be in good agreement with the frequency distribution of traffic noise. Second, this study examines the primary factors that influence the sound absorption effect of tree trunks from the perspective of tree species, including visible and tested factors. Finally, the effectiveness of planting tree species with high sound absorption coefficients on traffic noise control is demonstrated by comparing and analysing the noise reduction effects of planting different tree species in a 15 m deep tree belts using simulation, and a difference of about 0.9 decibels was discovered. The selection basis and design strategy of tree species for attenuating urban traffic noise pollution are proposed based on tree shape, sound absorption effect of tree trunk, growth speed of tree species, and planting mode. |
