Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM48125
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This study applies machine learning to predict the Air Quality Index (AQI) in Delhi, using data from 2015–2022 sourced from the Central Pollution Control Board. It considers key pollutants (PM2.5, PM10, NO₂, SO₂, CO, O₃) and meteorological factors. PM2.5 and vehicular emissions were identified as major AQI contributors. The findings support real-time AQI forecasting and align with UN SDGs 3 and 11, promoting public health and sustainable urban living through data-driven environmental strategies.
KEYWORDS
Publication Date
5/16/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...