Abstract
Real-time monitoring of dose delivery is critical for ensuring reliable and energy-efficient ultraviolet (UV) disinfection. However, conventional methods are limited by high cost and inability to capture full dose distribution information. This study presents a novel, cost-effective approach for real-time monitoring of UV dose delivery (including dose distribution and simplified indicators) by integrating a dual microfluorescent silica detector (dual-MFSD) system with Buckingham-π theorem-based scaling. The dual-MFSD system enabled simultaneous and convenient monitoring of real-time water UV transmittance (TRT), as well as a correction factor (CFRT) accounting for lamp output attenuation and sleeve fouling, with an effective optical path-length difference calibrated as 1.01 cm. A dimensionless scaling method based on the Buckingham-π theorem was developed to predict full information of the UV dose distribution using real-time operating parameters (i.e., TRT, flow rate (QRT), and CFRT), allowing rapid calculation of simplified indicators. The predicted doses were validated by computational fluid dynamic (CFD) simulation and biodosimetry at various TRT values (97% and 90%) and QRT values (40, 50, and 60 L min-1) with a measured CFRT (0.754). Additionally, a four-month field test was conducted in a secondary water supply system, demonstrating the practical applicability of this method. This study provides a real-time approach for UV dose monitoring, supporting reliable and energy-efficient UV disinfection.
Keywords
Buckingham-π theorem
dose delivery
microfluorescent silica detector
online monitoring
ultraviolet disinfection
MeSH 主题词
Ultraviolet Rays
Disinfection
Water Purification
作者与单位
共 7 位作者,点击展开单位 / ORCID
Zheng Zhichao
Key Laboratory of Environmental Aquatic Chemistry, State Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. | University of Chinese Academy of Sciences, Beijing 100049, China.
Li Mengkai
ORCID
Key Laboratory of Environmental Aquatic Chemistry, State Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. | University of Chinese Academy of Sciences, Beijing 100049, China.
Wang Jiale
Key Laboratory of Environmental Aquatic Chemistry, State Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. | University of Chinese Academy of Sciences, Beijing 100049, China.
Sun Zhe
Key Laboratory of Environmental Aquatic Chemistry, State Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Li Wentao
State Key Laboratory of Green Papermaking and Resource Recycling, State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Blatchley Ernest R
ORCID
Lyles School of Civil & Construction Engineering, Purdue University, West Lafayette, Indiana 47907, United States. | School of Sustainability Engineering & Environmental Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Qiang Zhimin
ORCID
State Key Laboratory of Green Papermaking and Resource Recycling, State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.