软件部署
资源(消歧)
环境修复
可持续发展
范式转换
工程研究
环境科学
障碍物
人体净化
计算机科学
工程类
透视图(图形)
反应堆设计
风险分析(工程)
系统工程
新兴技术
生化工程
环境规划
资源效率
工程管理
研究计划
水资源
最佳实践
环境污染
应用研究
污染防治
资源管理(计算)
水处理
环境资源管理
基础研究
管理科学
作者
Shuang Meng,Chenying Zhou,Yiming Sun,Peng Zhou,Bo Lai
标识
DOI:10.1021/acs.est.5c18722
摘要
Advanced oxidation processes (AOPs) are effective technologies for addressing the growing threat of water pollution to the eco-environment and human health. In spite of continuous improvements in decontamination achieved through laboratory-scale research over decades, converting these scientific achievements into reliable, large-scale engineering solutions remains challenging. This gap primarily stems from the mismatch between research priorities and practical engineering requirements, specifically reflected in significant differences in catalyst application, reactor configuration, byproduct management, treatment objects, and operating conditions. Accordingly, we reveal the engineering understanding and research achievements in these areas and, meanwhile, propose insights to shift research priorities based on engineering bottlenecks to accelerate the implementation of AOPs. By evaluating emerging strategies such as precise oxidation, sustainable system design, machine-learning-assisted optimization, and resource recovery, this perspective provides future development directions for AOPs. Shifting from the pursuit of isolated academic indicators to a comprehensive and engineering-oriented scientific research paradigm is further proposed. Effective dialogue and collaboration between fundamental research and engineering practice are conducive to accelerating the deployment of AOPs in real-world water remediation.
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