Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149930
Title: Medium term data analytics of atmospheric pollutants NO2 and PM2.5 for Singapore city
Authors: Bondal, Tisbe Caitlyn
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Bondal, T. C. (2021). Medium term data analytics of atmospheric pollutants NO2 and PM2.5 for Singapore city. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149930
Project: A2243-201
Abstract: Air pollution remains a key concern for populations worldwide. The devastating effects of air pollution on human beings are as concerning as its omnipresence. As a matter of fact, it is recorded that air pollution is the fifth foremost cause of death globally and a staggering 92% of the world population live in cities where the air quality is considered unsafe. However, due to the growing concerns regarding air pollution, there has been an accelerated growth in information volume related to air pollutants. Many countries have decided to improve the monitoring systems of their local air pollution levels. This paper will be covering the analysis of PM2.5 and NO2 concentration levels in Singapore while taking advantage of the growth in information volume. Using statistical analysis models like the ARIMA and VAR models, this project aims to bring about a meaningful analysis of Singapore’s air quality in the recent years.
URI: https://hdl.handle.net/10356/149930
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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