Paper Title
Air Quality Index (AQI) Analysis using Python
Article Identifiers
Authors
Tulika Tanya , Akshar Gupta , Ashwin Ghadi , Kartiki Pranjale , Prof. Chaitanya Garware
Keywords
Air Quality Index, Particulate matter, Big Data, Risk characterization.
Abstract
Outdoor air pollution is a serious problem in many developing countries today. This study focuses on monitoring the dynamic changes of air quality effectively in large cities by analyzing the trends in geo-targeted areas with comprehensive big data filtering procedures. Our study indicates that many cardiovascular diseases are strongly correlated to the AQI and can be used to monitor the air quality dynamics to some extent. The main purpose of this research is to detect the air quality changes with a shorter period of time scale over space that can improve and optimize the risk characterization and conjunctive air quality assessment. Air quality assessment could be based on a very large number of various indicators, including the physical parameter, chemical and biological, namely Sulphur dioxide (SO2), carbon monoxide (CO), particulate matter (PM), humidity, air pressure and temperature. Nevertheless, often it is not easy to interpret the results of the air quality status when numerous quality elements are analyzed since each parameter indicates different types of quality classes.
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How To Cite (APA)
Tulika Tanya, Akshar Gupta, Ashwin Ghadi, Kartiki Pranjale, & Prof. Chaitanya Garware (May-2024). Air Quality Index (AQI) Analysis using Python. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), h474-h480. https://ijnrd.org/papers/IJNRD2405767.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : h474-h480
Other Publication Details
Paper Reg. ID: IJNRD_220419
Published Paper Id: IJNRD2405767
Downloads: 000121977
Research Area: Computer Science & TechnologyÂ
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405767.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405767
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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