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Smart management of combined sewer overflows: From an ancient technology to artificial intelligence

机译：合流下水道溢流的智能管理：从古老的技术到人工智能

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Abstract Sewer systems are an essential part of sanitation infrastructure for protecting human and ecosystem health. Initially, they were used to solely convey stormwater, but over time municipal sewage was discharged to these conduits and transformed them into combined sewer systems (CSS). Due to climate change and rapid urbanization, these systems are no longer sufficient and overflow in wet weather conditions. Mechanistic and data‐driven models have been frequently used in research on combined sewer overflow (CSO) management integrating low‐impact development and gray‐green infrastructures. Recent advances in measurement, communication, and computation technologies have simplified data collection methods. As a result, technologies such as artificial intelligence (AI), geographic information system, and remote sensing can be integrated into CSO and stormwater management as a part of the smart city and digital twin concepts to build climate‐resilient infrastructures and services. Therefore, smart management of CSS is now both technically and economically feasible to tackle the challenges ahead. This review article explores CSO characteristics and associated impact on receiving waterbodies, evaluates suitable models for CSO management, and presents studies including above‐mentioned technologies in the context of smart CSO and stormwater management. Although integration of all these technologies has a big potential, further research is required to achieve AI‐controlled CSS for robust and agile CSO mitigation. This article is categorized under: Engineering Water > Sustainable Engineering of Water Science of Water > Water and Environmental Change
机译：抽象的下水道系统的重要组成部分保护人类的卫生基础设施和生态系统的健康。只传达雨水,但是随着时间的推移城市污水排放这些渠道和转化成结合下水道系统(CSS)。城市化,这些系统已经不再充分溢出在潮湿的天气条件。一直在研究常用的组合吗下水道溢出(方案)管理集成低影响开发和灰色绿色基础设施。通信和计算技术简化的数据收集方法。技术,如人工智能(AI)、地理信息系统和远程传感可以集成到方案和雨水作为一个智能城市的一部分,管理数字双概念构建地理气候弹性基础设施和服务。CSS是现在在技术上和管理经济上可行的应对挑战在前面。特点和相关的影响接收水体,评估合适的模型全封闭管理,并提出了研究包括上面提到的技术智能方案和雨水管理的上下文。尽管所有这些技术的集成有很大的潜力,进一步的研究是必需的吗实现人工智能控制CSS健壮、敏捷方案缓解。下:工程水>可持续>水科学和工程的水环境变化

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