Smart City Gnosys
Smart city article details
| Title | Examining The Air Quality Index And Its Adverse Effects: An Analytical Study For Smart Cities Development |
|---|---|
| ID_Doc | 25110 |
| Authors | Rastogi R.; Garg P.; Rastogi M.; Srivastava P.; Jain R.; Jain P.; Gupta N. |
| Year | 2025 |
| Published | International Journal of Environment and Waste Management, 37, 1 |
| DOI | http://dx.doi.org/10.1504/IJEWM.2025.146423 |
| Abstract | The proposed air quality observing framework utilises an air quality record that can be effectively translated. Objective of this research study is to show the truth of the gases being discharged around parts of Delhi, India. The Air Quality Index (AQI) has been created by the Environmental Protection Agency (EPA), to give everyday levels of air contamination and a lot of increasingly precise, effectively reasonable data. The AQI is a table created by this Environmental Protection Agency (EPA) to give every day and precise data about air contamination to normal residents. AQI considers four significant poisons: sulphur dioxide, carbon monoxide, nitrogen dioxide and ozone and benzene, SPM. By recalling information on day-by-day contamination levels, the EPA can indicate a number about its AQI run. The assessment results affirm the ability of the proposed framework for constant and spatial observing of air quality. Also, it is workable for the overall population to arrive at the aftereffects of air quality observing continuously. Copyright © 2025 Inderscience Enterprises Ltd. |
| Author Keywords | Air Quality Index; AQI; big data analytic; deep learning; drugs discovery; Environmental Protection Agency; EPA; expert system; explainable artificial intelligence; healthcare technology; machine learning; PM level; tropical meteorology |
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