| dc.description.abstract | Road traffic noise pollution is increasing year by year due to urbanization. Road traffic
noise pollution is increasing year by year due to urbanization. Road traffic contributes to
80% of a city’s noise pollution. Noise mapping is a comprehensive method for measuring
and analyzing environmental noise, including the number of persons who are bothered by
it and how often they experience its disruptive effects. This study focuses on visualizing
road traffic noise levels in Matara city, Sri Lanka. Traffic noise varies in different factors
and a proper noise equation is essential to calculate road traffic noise. The noise
observation points’ separation and the precision of the noise equation are key factors
in determining how well noise is represented visually. The Henk de Klujijver’s noise
model is used for calculating noise levels in this study. Suitable spatial interpolations
are vital to interpolate traffic noise levels. Moreover, this study enhances the accuracy
comparison between Inverse Distance Weighted, kriging, and spline spatial interpolations
on road traffic noise mapping. Designing noise observation points (Nops) is vital to the
accuracy. Therefore, 10 metre distance interval was used for Nops. According to the Root
Mean Square Error (RMSE), kriging interpolation had the minimum RMSE value. The
final noise visualization was done by kriging spatial interpolation. However, 65.44% area
was less than 63dB in the morning, and 64.82% area was less than 63dB in the evening.
Urban planners of city development projects can utilize the results of this study in the
future. | en_US |
