Spatial traffic noise pollution assessment - A case study.

Area of Science:

• Environmental Science
• Urban Planning
• Acoustics

Background:

• Traffic noise pollution poses a significant environmental challenge in urban areas.
• Assessing noise intensity is crucial for urban planners to estimate citizen exposure to harmful sound levels.
• Identifying critical noise pollution zones enables targeted implementation of mitigation strategies like noise barriers.

Purpose of the Study:

• To spatially assess traffic noise pollution intensity in Tehran, Iran, using Geographic Information System (GIS).
• To identify areas with impermissible sound levels for effective urban planning and noise mitigation.
• To evaluate the applicability of GIS in managing and visualizing traffic noise data.

Main Methods:

• Equivalent sound levels (Leq) were measured at 91 stations across different times of day and days of the week in District 14, Tehran.
• Geographic coordinates of measurement points were recorded.
• Statistical analysis indicated no significant differences in sound levels based on weekdays, time of day, or measurement intervals (10, 15, 30 min).

Main Results:

• The maximum equivalent sound level (Leq) recorded was 84.2 dB(A) on Basij Highway.
• The minimum equivalent sound level (Leq) was 59.9 dB(A) at Fajr Hospital.
• Average equivalent sound levels exceeded national standards at all surveyed stations.

Conclusions:

• Traffic noise pollution in Tehran surpasses national safety limits.
• Recommendations include installing sound walls on Basij and Mahallati Highways and widening 17th Shahrivar, Pirouzi, and Khavaran streets.
• GIS is a highly effective tool for mapping and managing traffic noise pollution data.