Noise Was Obviously Reduced by Both Leaf Texture and Surface Roughness in Leaf Scale

Area of Science:

• Urban ecology
• Acoustics
• Horticulture

Background:

• Urban noise pollution is a significant environmental issue.
• Woody plants in urban forests can mitigate traffic noise.
• Limited research exists on the relationship between leaf traits and sound attenuation.

Purpose of the Study:

• To investigate the influence of leaf texture (LT) and leaf surface roughness (LSR) on the noise reduction capabilities of woody plants.
• To identify key leaf morphological traits for selecting plants for noise reduction in urban settings.

Main Methods:

• Eighteen woody plant species were selected based on LT and LSR.
• Noise reduction was measured using white noise in a controlled laboratory setting.
• Statistical analysis was performed to assess the impact of LT, LSR, and their interaction on noise reduction.

Main Results:

• Noise reduction was significantly affected by LT, LSR, and their interaction (p < 0.05).
• Coriaceous leaves demonstrated greater noise reduction efficiency compared to chartaceous leaves.
• LSR played an auxiliary role in noise reduction, with physical blocking and interference being the primary mechanisms.

Conclusions:

• Leaf texture and leaf surface roughness are effective predictors for selecting plants for noise-reduction-oriented urban forests.
• Findings support the use of specific leaf traits in urban planning for acoustic amelioration.