Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore

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 release...

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Main Author: Teo, Aaron Bao Long
Other Authors: Wong Kin Shun, Terence
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158229
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1582292023-07-07T19:34:29Z Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore Teo, Aaron Bao Long Wong Kin Shun, Terence School of Electrical and Electronic Engineering EKSWONG@ntu.edu.sg Science::Mathematics::Series 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. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-06-01T23:43:28Z 2022-06-01T23:43:28Z 2022 Final Year Project (FYP) 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 https://hdl.handle.net/10356/158229 en A2248-211 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics::Series
spellingShingle Science::Mathematics::Series
Teo, Aaron Bao Long
Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore
description 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.
author2 Wong Kin Shun, Terence
author_facet Wong Kin Shun, Terence
Teo, Aaron Bao Long
format Final Year Project
author Teo, Aaron Bao Long
author_sort Teo, Aaron Bao Long
title Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore
title_short Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore
title_full Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore
title_fullStr Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore
title_full_unstemmed Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore
title_sort data analysis & one-day prediction of so2 and pm10 pollutants in singapore
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/158229
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