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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Authors
Urvashi Parmar,Darshan Parmar
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Keywords
ML, Air quality prediction, PM2.5, SVM, Neural Network
Abstract
The regulation of air pollutant levels is rapidly becoming one of the most important tasks for the governments of developing countries, especially China. Among the pollutant index, Fine particulate matter (PM2.5) is a significant one because it is a big concern to people's health when its level in the air is relatively high. PM2.5 refers to tiny particles in the air that reduce visibility and cause the air to appear hazy when levels are elevated.
However, the relationships between the concentration of these particles and meteorological and traffic factors are poorly understood. To shed some light on these connections, some of these advanced techniques have been introduced into air quality research. These studies utilized selected techniques, such as Support Vector Machine (SVM) and Neural Network, to predict ambient air pollutant levels based on mostly weather and sometimes traffic variables.
This project attempted to apply some machine learning techniques to predict PM2.5 levels based on a dataset consisting of daily weather and traffic parameters in Beijing, China. Due to the uncertainty of the specific number PM2.5 level, I simplified the problem to be a binary classification one, that is to classify the PM2.5 level into "High" (> 115 ug/m3) and "low" (<= 115 ug/m3). The value is chosen based on the Air Quality Level standard in China, which set 115 ug/m3 to be mild level pollution.
IJCRT's Publication Details
Unique Identification Number - IJCRT2101328
Paper ID - 202438
Author type - Indian Author
Page Number(s) - 2661-2665
Pubished in - Volume 9 | Issue 1 | January 2021
DOI (Digital Object Identifier) -
No Of Downloads - 1258
Author Country - India, 390010, Vadodara, Vadodara, 390010, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Urvashi Parmar,Darshan Parmar, "PREDICTING POLLUTION LEVEL DURING A SPECIFIC CITY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 1, pp.2661-2665, January 2021, Available at :http://www.ijcrt.org/papers/IJCRT2101328.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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