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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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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Noise pollution has steadily increased , due to rapid urbanization and industrialization
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