Open Access
Issue |
E3S Web Conf.
Volume 620, 2025
2024 12th International Conference on Environment Pollution and Prevention (ICEPP 2024)
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 10 | |
Section | Smart Air Quality Monitoring and Data Privacy | |
DOI | https://doi.org/10.1051/e3sconf/202562001002 | |
Published online | 12 March 2025 |
- World Health Organization. (2021). “Air Pollution.” WHO Global Health Observatory. [Google Scholar]
- U.S. Environmental Protection Agency. (2021). “Particulate Matter Basics.” EPA.gov. [Google Scholar]
- Kim, K. H., Kabir, E., & Kabir, S. (2015). “A review on the human health impact of airborne particulate matter.” Environment International, 74, 136–143. [CrossRef] [Google Scholar]
- IQAir. (2021). “World Air Quality Report. Region & City PM2.5 Ranking.” IQAir.com. [Google Scholar]
- Central Pollution Control Board India. 2015. Report on AQI Control of Urban Pollution Series. http://app.cpcbccr.com/ccr_docs/FINAL-REPORT_AQI_.pdf. [Google Scholar]
- A. Parmar et al., “Development of end-to-end low-cost IoT system for densely deployed PM monitoring network: an Indian case study,” Frontiers in the Internet of Things, vol. 3, 2024. [CrossRef] [Google Scholar]
- S. Sara et al., “The Application of Mobile Sensing to Detect CO and NO2 Emission Spikes in Polluted Cities,” IEEE Access, vol. 11, pp. 79 624–79 635, 2023. [Google Scholar]
- S. Sara and S. Gujar et al., “Protocol for hunting PM2.5 emission hot spots in cities,” in Proceedings of the 1st International Workshop on Advances in Environmental Sensing Systems for Smart Cities, ser. EnvSys ’23. Association for Computing Machinery, 2023, p. 37–42. [CrossRef] [Google Scholar]
- S. Deb et. al, “Spatial Factor Analysis of Mobile IoT Data: A Case Study on PM Across India,” IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022, pp. 1272–1275. [CrossRef] [Google Scholar]
- Y.-L. Chiang et al., “Mobile Measurement of Particulate Matter Concentrations on Urban Streets: System Development and Field Verification,” in IEEE Access, vol. 8, pp. 197617–197629, 2020. [CrossRef] [Google Scholar]
- Li, Jason et al., Jan. (2021). Sensing the Air We Breathe — The OpenSense Zurich Dataset. Proceedings of the AAAI Conference on Artificial Intelligence. 26. 10.1609/aaai.v26i1.8163. [Google Scholar]
- I. Patwardhan et al., “Comparative Evaluation of New Low-Cost Particulate Matter Sensors,” in 8th International Conference on Future Internet of Things and Cloud (FiCloud), 2021, pp. 192–197. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.