| dc.description.abstract | Noise pollution of urban areas is
one of serious problem. The local and urban
authorities have to consider decision making
processes for establishing residential, newly
construction of hospitals, schools and
maintaining the public places etc. The
national environment act, no. 47 of 1980
provides limitation about noise emission of
Sri Lanka. Road traffic is a major sources of
community noise in metropolitan cities.
Road traffic noise mapping is described in
this research. The main objective of this
research is finding the noise levels where it is
less than 63dB and sub objective is finding
the suitable interpolation technique for road
traffic noise mapping. Noise maps can be
used to monitor the issues of noise effects.
Most of the noise maps are available today in
two dimensional (2D) in which noise effect is
presented in x, y plane. The preparing of
noise map is depending on noise calculation
model and 2D city model. The noise
calculation model is based on amount of
vehicles and speed, road type and noise
absorption from the air etc. But in here
considers only number of vehicles, speed of
vehicles and noise reduction with the
distance for the calculation of noise levels.
Digital data layers which are digitized from
satellite images, are used to prepare the 2D
city model. The spatial analysis methods of
GIS (Geographical Information Science) can
play an important role to control noise
pollution. GIS provides framework to
integrate noise calculation models with
spatial data. IDW (Inverse Distance
Weighted) and Kriging interpolation
techniques are used for the interpolation of
noise levels. When checking the accuracy of
noise levels with sample points, it recognized
the IDW which better interpolation
technique for noise mapping. There are 73%
area is more than 63 dB sound levels and
those area can’t be used for as silent areas in
urban planning. | en_US |
