Noise propagation analysis with web-based scene modelling
Singapore is a densely-populated city with a highly interconnected transport network and a heavy reliance on vehicular transport through these roads. As such, traffic noise is one of the leading contributors to noise pollution in urban areas and cities [8], adding on to other sources of sound...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/165357 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Singapore is a densely-populated city with a highly interconnected transport network and a
heavy reliance on vehicular transport through these roads. As such, traffic noise is one of the
leading contributors to noise pollution in urban areas and cities [8], adding on to other sources
of sound like industrial noise and various miscellaneous environmental sounds. Residential
areas with higher road density also tend to have higher average outdoor sound levels, which is
a problem due to the numerous negative health impacts that noise pollution can have on a
person. [7] This project aims to improve on an existing noise modelling pipeline. It focuses on
more accurately representing the 3D modelled trees used in the pipeline, which are
environmental elements that act as noise barriers. It also aims to explore how the species of
vegetation can affect the noise propagation in a certain area.
It aims to improve the existing pipeline through various means that will be further illustrated
below, in order to provide deeper insights on the analysis of the elimination of noise pollution
via urban greenery.
This paper is split into 3 main parts. 1. Data analysis of different tree species. 2. Modification
of existing model to produce more accurate 3D outputs. 3. Noise propagation experiments and
evaluations.
The first component describes the retrieval of data on different tree species. There is limited
information on crown sizes of trees in Singapore, which may be due to constant changes from
pruning and other environmental factors, or the difficulty in obtaining such information. The
required data hence had to be taken from other research previously done, and cross-referenced
with research on the different tree species. The data was then analysed for the second part of
the project.
The second part utilises the evaluations from the previous part to modify the existing pipeline
and produce more accurate representations of various tree species that we have chosen to
analyse. The data is exported in a format suitable for use as input in QGIS to visualise the
environmental elements in each area. It is then converted into an output that is compatible
with the noise propagation prediction tool used in the last part.
The last part describes the experiments carried out to examine how different sizes and shapes
of noise barriers (i.e. tree species) affects the noise propagation to a receiver building. The
experiments are carried out with generalised estimates formulated using several known
properties of real-life tree data. This is used to evaluate the suitability of the various tree
species in acting as noise barriers. |
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