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Call for Papers:Vol.11 Issue.3

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Title: :  AIR COMPONENT ANALYSIS USING SARIMA MODEL
PaperId: :  16866
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-16866
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Arvind ChaudharyRaj Kumar Goel Institute of Technology
Ashutosh TripathiRaj Kumar Goel Institute of Technology
Dhruv VatsRaj Kumar Goel Institute of Technology
Mohd. Siraj AliRaj Kumar Goel Institute of Technology

Abstract

Computer Science and Engineering
Air Quality Index, Air Pollution Prediction, ARIMA time series model, Machine Learning
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.

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IJARIIE 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 Volume 8 Issue 3 2022 Page 1882-1888
MLA 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 8.3(2022) : 1882-1888.
APA Arvind Chaudhary, Ashutosh Tripathi, Dhruv Vats, & Mohd. Siraj Ali. (2022). AIR COMPONENT ANALYSIS USING SARIMA MODEL. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 1882-1888.
Chicago 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 8, no. 3 (2022) : 1882-1888.
Oxford 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, 2022, p. 1882-1888. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AIR_COMPONENT_ANALYSIS_USING_SARIMA_MODEL_ijariie16866.pdf (Accessed : ).
Harvard Arvind Chaudhary, Ashutosh Tripathi, Dhruv Vats, and Mohd. Siraj Ali. (2022) 'AIR COMPONENT ANALYSIS USING SARIMA MODEL', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 1882-1888IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AIR_COMPONENT_ANALYSIS_USING_SARIMA_MODEL_ijariie16866.pdf (Accessed : )
IEEE 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, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/AIR_COMPONENT_ANALYSIS_USING_SARIMA_MODEL_ijariie16866.pdf [Accessed : ].
Turabian 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 [Online]. volume 8 number 3 ().
Vancouver 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 [Internet]. 2022 [Cited : ]; 8(3) : 1882-1888. Available from: https://ijariie.com/AdminUploadPdf/AIR_COMPONENT_ANALYSIS_USING_SARIMA_MODEL_ijariie16866.pdf
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