Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158229
Title: Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore
Authors: Teo, Aaron Bao Long
Keywords: Science::Mathematics::Series
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Teo, A. B. L. (2022). Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158229
Project: A2248-211
Abstract: Ever 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.
URI: https://hdl.handle.net/10356/158229
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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