Open Access
| Issue |
E3S Web Conf.
Volume 672, 2025
The 17th ROOMVENT Conference (ROOMVENT 2024)
|
|
|---|---|---|
| Article Number | 07013 | |
| Number of page(s) | 6 | |
| Section | Poster Articles: Health, IAQ, Thermal Comfort, Ventilation & Energy Efficiency | |
| DOI | https://doi.org/10.1051/e3sconf/202567207013 | |
| Published online | 05 December 2025 | |
- D. L. Johnson, R. A. Lynch, E. L. Floyd, J. Wang, and J. N. Bartels, Indoor air quality in classrooms: Environmental measures and effective ventilation rate modeling in urban elementary schools, Build Environ 136, 5 (2018) [Google Scholar]
- 3SqAir project - Sustainable Smart Strategy for Air Quality Assurance in Classrooms. [Online]. Available: https://www.3sqair.com [Google Scholar]
- Y. S. Son, A review on indoor and outdoor factors affecting the level of particulate matter in classrooms of elementary schools, Journal of Building Engineering 75, 9 (2023) [Google Scholar]
- S. Rovelli et al., Airborne particulate matter in school classrooms of northern Italy, Int J Environ Res Public Health 11, 1 (2014) [Google Scholar]
- N. Tikul, A. Hokpunna, and P. Chawana, Improving indoor air quality in primary school buildings through optimized apertures and classroom furniture layouts, Journal of Building Engineering 62, 12 (2022) [Google Scholar]
- C. Vornanen-Winqvist et al., Exposure to indoor air contaminants in school buildings with and without reported indoor air quality problems, Environ Int 141, 8 (2020) [Google Scholar]
- J. O. Ogundiran, J.-P. K. B. Nyembwe, A. S. N. Ribeiro, and M. Gameiro da Silva, Indoor Environmental Quality Assessment of Train Cabins and Passenger Waiting Areas: A Case Study of Nigeria, Sustainability 15, 12 (2023) [Google Scholar]
- H. Hu, X. Huang, Y. Zhao, H. Qian, and C. Liu, A new PM2.5-based PM-up method to measure non-mechanical ventilation rate in buildings, Journal of Building Engineering 52, 7 (2022) [Google Scholar]
- N. Fu, M. K. Kim, L. Huang, J. Liu, B. Chen, and S. Sharples, Investigating the reliability of estimating real-time air exchange rates in a building by using airborne particles, including PM1.0, PM2.5, and PM10: A case study in Suzhou, China, Atmos Pollut Res 15, 1 (2024) [Google Scholar]
- S. Cui, M. Cohen, P. Stabat, and D. Marchio, CO2 tracer gas concentration decay method for measuring air change rate, Build Environ 84, 1 (2015) [Google Scholar]
- S. Batterman, Review and extension of CO2- based methods to determine ventilation rates with application to school classrooms, International Journal of Environmental Research and Public Health 14, 4 (2017) [Google Scholar]
- S. Westgate and N. L. Ng, Using in-situ CO2, PM1, PM2.5, and PM10 measurements to assess air change rates and indoor aerosol dynamics, Build Environ 224, 9 (2022). [Google Scholar]
- V. F. McNeill et al., Room-level ventilation in schools and universities, Atmos Environ X 13, 1 (2022) [Google Scholar]
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