Issue |
E3S Web Conf.
Volume 630, 2025
2025 International Conference on Eco-environmental Protection, Environmental Monitoring and Remediation (EPEMR 2025)
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Article Number | 01012 | |
Number of page(s) | 4 | |
Section | Smart Technologies for Environmental Monitoring and Pollution Mitigation | |
DOI | https://doi.org/10.1051/e3sconf/202563001012 | |
Published online | 22 May 2025 |
Dynamic Monitoring and Ventilation Parameter Coupling Optimization for PM2.5 Control in Moxibustion Clinics
Department of Energy and Environment, Southeast University, China
* Corresponding author: Tqq892827320@163.com
This study systematically investigates ventilation-coupled PM2.5 dispersion dynamics in healthcare settings through multi-parametric monitoring of moxibustion-generated particulate pollution. Experimental results demonstrate height-dependent nonlinear interactions between exhaust airflow rates and PM2.5 concentrations, where reducing exhaust hood installation heights to ≤20 cm enhanced particulate control efficiency by 4.3–5.2-fold compared to conventional 30 cm configurations, validating the critical need for geometric optimisation. Hybrid ventilation modes induced severe airflow interference, elevating PM2.5 mass concentrations by 146.8% relative to standalone mechanical exhaust, with window-integrated operations exhibiting the most pronounced instability (58% higher concentration fluctuations than closed-environment scenarios). The developed “closed-environment + low-height mechanical exhaust (115 m3/h)” protocol achieved dual optimisation of control efficacy and operational stability, maintaining patient breathing zone concentrations below 50 μg/m3 across all test cycles. These findings provide empirical validation for revising dynamic pollution source monitoring thresholds in the Indoor Air Quality Standard (GB/T 18883-2022), particularly addressing real-time control requirements for medical spaces with intermittent high-emission activities.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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