Noise Modeling In Universiti Sains Malaysia And Offshore Oil And Gas Platform
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Date
2007-11
Authors
Hang, See Pheng
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Abstract
Over the last few decades, noise pollution has steadily increased due to
rapid urbanization and industrialization. It has been categorized as a major
environmental problem as well as being related to physical and mental health
issues. Hence, several noise regulations have been implemented in various
countries to ensure that broad public health and environmental objectives are
met. This thesis will present modeling of noise levels using an in-house noise
model, NOISEPAC and Traffic Noise Model version 2.5 (TNM 2.5). A research
is initiated to monitor and model, by means of NOISEPAC, noise levels in
Universiti Sains Malaysia (USM), where staffs and students in the New Science
Complex (NSC) have experienced some noise annoyance due to the sound
emitted from air-conditioning system. Apart from that, TNM 2.5 is used to
analyze traffic noise levels around Jalan Sungai Dua, a busy roadway located
near the USM main campus. Field surveys are conducted around the NSC and
USM campus in order to obtain validation data and input parameters for the
implementation of both prediction models. Further, NOISEPAC is modified to
analyze noise levels on an offshore oil and gas platform. Noise levels on an
offshore structure are expected to be high due to the compact steel structure
modules with multiple noise sources. Noise prediction models are tools to
assess the environment noise in the design and existing stage. They are also
essential to provide a basis for the selection of noise mitigation measures.
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Keywords
Noise pollution has steadily increased , due to rapid urbanization and industrialization