Mechanistic modeling of Legionella in building water systems: A critical review on the essential factors

被引：0
作者：
Ortiz, Catalina [1 ]
Hatam, Fatemeh [1 ]
Quon, Hunter [2 ,3 ]
Hamilton, Kerry A. [2 ,3 ]
Prévost, Michèle [1 ]
机构：
[1] Industrial Chair in Drinking Water, Department of Civil Engineering, Polytechnique Montreal, Montreal, H3C3A7, QC
[2] The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, 1001 S. McAllister Ave, Tempe, 85281, AZ
[3] School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, 85281, AZ
来源：
Science of the Total Environment | 2025年 / 974卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
Building water systems; Drinking water; L; pneumophila; Legionella spp; Modeling; Opportunistic pathogens;
D O I：
10.1016/j.scitotenv.2025.179169
中图分类号：
学科分类号：
摘要：
Modeling Legionella exposure from building water systems is valuable to inform water management plans, but accurate risk estimates require accounting for spatiotemporal variations in concentrations. This comprehensive literature review covers existing mathematical approaches for predicting Legionella fate and transport in building water systems and proposes a framework for advanced modeling considering all mechanisms influencing its presence in water and biofilm during different life-stages (e.g., within protozoan hosts). Current models include persistence of culturable cells in a heater, growth and decay throughout simplified hot water systems, concentrations linked to water age using fitted growth rates, and a calibrated model for a highly-monitored system. The challenges of modeling influencing factors are also discussed, including water demand, hydraulics, nutrient availability, pipe materials, temperature, and chemical disinfection. By contrasting laboratory and field observations with existing models, this review highlights knowledge gaps and data needs for integrating Legionella growth and persistence into hydraulics, water quality and, ultimately, exposure models to define minimal-risk design and operational practices. © 2025 Elsevier B.V.
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