Abstract
In the effort to achieve accurate air pollution predictions, researchers have contributedvarious methodologies with varying data and different approaches that can be judgedaccurate in their respective contexts. Diverse approaches have been used so far in theliterature to achieve optimal accuracy in the prediction of air pollution. Researchers havealso used different combinations of data such as Meteorological, Traffic and Air Qualitydata. Hence, creating a situation where there are open questions on which of the machinelearning (ML) algorithms or ensemble of algorithms is best suited for various combinationsof data and varying dependent and independent variables. While it is obvious that there isa need for a more optimally performing predictive model for air pollution prediction, it isdifficult to know what combination of algorithms and data is best suited for variousdependent variables. In this study, we reviewed 26 research articles reported recently in theliterature and the methods applied to different data to identify what combination of MLalgorithms and data works best for the prediction of various air pollutants. The studyrevealed that despite the availability of many datasets, researchers in this domain cannotavoid the use of Air Quality and Meteorological datasets. However, Random Forest appearsto perform well for various combinations of datasets.
Original language | English |
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Title of host publication | EDMIC 2021 CONFERENCE PROCEEDINGS ENVIRONMENTAL DESIGN & MANAGEMENT INTERNATIONAL CONFERENCE |
Subtitle of host publication | Confluence of Theory and Practice in the Built Environment: Beyond Theory into Practice |
Place of Publication | Ile-Ife, Nigeria |
Publisher | Obafemi Awolowo University, Ile-Ife |
Pages | 562-575 |
Number of pages | 13 |
ISBN (Print) | 978-37119-9-7 |
Publication status | Published - 8 Jul 2021 |
Event | EDMIC 2021: ENVIRONMENTAL DESIGN AND MANAGEMENT INTERNATIONAL CONFERENCE: CONFLUENCE OF THEORY AND PRACTICE IN THE BUILT ENVIRONMENT: BEYOND THEORY INTO PRACTICE - Obafemi Awolowo University, Ile-Ife, Nigeria Duration: 6 Jul 2021 → 8 Jul 2021 |
Conference
Conference | EDMIC 2021: ENVIRONMENTAL DESIGN AND MANAGEMENT INTERNATIONAL CONFERENCE |
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Abbreviated title | EDMIC 2021 |
Country/Territory | Nigeria |
City | Ile-Ife |
Period | 6/07/21 → 8/07/21 |