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Forecasting of Air Pollution in United Kingdom Using Deep Learning and Time series methods

Vijaywargiya, Yash (2019) Forecasting of Air Pollution in United Kingdom Using Deep Learning and Time series methods. Masters thesis, Dublin, National College of Ireland.

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Abstract

Air pollution is found when particles in air exceed a particular concentration limit which makes it harmful for the ecosystem and human life. Air pollution is a huge factor for the cause of death because of its short term and long-term impact on health of the people. Many researchers have conducted a lot of analysis for forecasting the air quality. World Health Organisation (2019) has stated that 83 % areas of United Kingdom was found exceeding the air pollution level in 2019. This project evaluates the forecasting of No2 pollutant in air by comparing deep learning and time series models. However, In United Kingdom very less research has been performed for the air pollution. This project includes implementation of ARIMA, SARIMA, TBAT and neural networks. From the results it was clear that neural network with stacked LSTM has outperformed every other model. The results of the reviewed literature on air pollution in Europe are also presented.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

G Geography. Anthropology. Recreation > GE Environmental Sciences > Environment
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Dan English
Date Deposited: 16 Jun 2020 10:12
Last Modified: 16 Jun 2020 10:12
URI: http://norma.ncirl.ie/id/eprint/4290

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