Disinfection byproducts are contaminants that can cause long-term effects on human health, occurring in chlorinated drinking water when the disinfectant interacts with natural organic matter. Their formation is affected by many environmental parameters, making it difficult to monitor and detect disinfection byproducts before they reach households. Due to the large variety of disinfection byproduct compounds that can be formed in water distribution networks, plus the constrained number of sensors that can be deployed throughout a system to monitor these contaminants, it is of outmost importance to place sensory equipment efficiently and optimally. In this paper, we present DBPFinder, a simulation software that assists in the strategic sensor placement for detecting disinfection byproducts, tested at a real-world water distribution network in Coimbra, Portugal. This simulator addresses multiple performance objectives at once in order to provide optimal solution placement recommendations to water utility operators based on their needs. A number of different experiments performed indicate its correctness, relevance, efficiency and scalability.

翻译：消毒副产物是氯化饮用水中消毒剂与天然有机物相互作用产生的污染物，可能对人体健康造成长期影响。其形成受多种环境参数影响，导致在进入家庭前难以监测和检测。由于供水管网中可能形成的消毒副产物种类繁多，且系统中可部署用于监测这些污染物的传感器数量有限，高效且最优地布设传感设备至关重要。本文提出DBPFinder，一款辅助消毒副产物检测策略性传感器布设的仿真软件，并在葡萄牙科英布拉的真实供水管网中进行了测试。该仿真器同时处理多个性能目标，以根据水务运营商的需求提供最优解决方案布设建议。多项实验结果表明其正确性、相关性、高效性和可扩展性。