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dc.contributor.authorTeo, Aaron Bao Longen_US
dc.identifier.citationTeo, A. B. L. (2022). Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractEver since the industrial revolution in the 18th century, there has been an increasing need for energy to power human activity. From global transportation to lighting our homes at night, energy is essential to human life. Burning fossil fuels is the main source of energy for the world and it releases harmful pollutants into the air. These air pollutants mainly come from power plants and motor vehicles. 95% of Singapore’s electricity is generated by burning natural gas and neighbouring countries also burn fossil fuels for energy. This releases air pollutants such as sulphur dioxide (SO2) and small particulate matter (PM10) which can cause health problems in humans when inhaled. The elderly, children and those with asthma are most vulnerable to air pollutants. Therefore, it is important to keep track of air quality in Singapore. Singapore’s National Environment Agency closely monitors the concentration of air pollutants, and their results are published on their website. This project is focused on SO2 and PM10 air pollutants in the North, South, East, West and Central regions of Singapore.en_US
dc.publisherNanyang Technological Universityen_US
dc.titleData analysis & one-day prediction of SO2 and PM10 pollutants in Singaporeen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorWong Kin Shun, Terenceen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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