| dc.description.abstract | 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
focusses to visualize road traffic noise levels in Matara city,
Sri Lanka. Traffic noise varies in different factors, 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 (IDW),
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 in less than
63dB in the morning, and 64.82% area was in less than 63dB
in the evening. The results of this study can be used by urban
planners for city development projects in the future. | en_US |
