AIR COMPONENT ANALYSIS USING SARIMA MODEL
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Air Quality Index
Air Pollution Prediction
ARIMA time series model
Machine Learning
Abstract
Air is one of the most important fundamental constituents for the sustenance of life on earth. The meteorological, traffic factors, consumption of non-renewable energy sources, and industrial parameters are steadily increasing air pollution. Our main aim is to find the most polluted cities in recent years and analyze the levels of pollutants here. Understanding the impact of COVID-19 induced lockdowns on Air Quality in some of the major cities: analyzing which cities underwent the most drastic improvement in Air Quality and which cities showed a spike in AQI levels despite a stringent lockdown. We do a time-series analysis of the data and fit a SARIMA model with computed orders to forecast India's AQI in 2021.
License
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Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Arvind Chaudhary | Raj Kumar Goel Institute of Technology |
| 2 | Ashutosh Tripathi | Raj Kumar Goel Institute of Technology |
| 3 | Dhruv Vats | Raj Kumar Goel Institute of Technology |
| 4 | Mohd. Siraj Ali | Raj Kumar Goel Institute of Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Chaudhary, Arvind, Tripathi, Ashutosh, Vats, Dhruv, & Ali, Mohd. Siraj (2022). AIR COMPONENT ANALYSIS USING SARIMA MODEL. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 1882-1888.
MLA Style
Chaudhary, Arvind, et al. "AIR COMPONENT ANALYSIS USING SARIMA MODEL." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 1882-1888.
IEEE Style
Arvind Chaudhary, Ashutosh Tripathi, Dhruv Vats, and Mohd. Siraj Ali, "AIR COMPONENT ANALYSIS USING SARIMA MODEL," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 1882-1888, 2022.
Vancouver Style
Chaudhary Arvind, Tripathi Ashutosh, Vats Dhruv, Ali Mohd. Siraj. AIR COMPONENT ANALYSIS USING SARIMA MODEL. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):1882-1888.
Harvard Style
Chaudhary, Arvind, Tripathi, Ashutosh, Vats, Dhruv, & Ali, Mohd. Siraj (2022) 'AIR COMPONENT ANALYSIS USING SARIMA MODEL', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 1882-1888.
Chicago Style
Chaudhary, Arvind, et al. "AIR COMPONENT ANALYSIS USING SARIMA MODEL." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 1882-1888.
Turabian Style
Chaudhary, Arvind, et al. "AIR COMPONENT ANALYSIS USING SARIMA MODEL." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 1882-1888.
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