College of Environmental Science and Engineering, Hunan University, Changsha, Hunan, 410082, China; Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha, Hunan, 410082, China.
College of Environmental Science and Engineering, Hunan University, Changsha, Hunan, 410082, China; Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha, Hunan, 410082, China.
Chemosphere. 2021 Jul;275:130104. doi: 10.1016/j.chemosphere.2021.130104. Epub 2021 Feb 27.
With the development of industrial society, organic wastewater produced by industrial manufacturing has caused many environmental problems. The vast majority of organic pollutants in water bodies are persistent in the environment, posing a threat to human and animal health. Therefore, efficient treatment methods for highly concentrated organic wastewater are urgently needed. Advanced oxidation processes (AOPs) are widely noticed in the area of treating organic wastewater. Compared with other chemical methods, AOPs have the characteristics of high oxidation efficiency and no secondary pollution. In this paper, the mechanisms, advantages, and limitations of AOPs are comprehensively reviewed. Besides, the basic principles of combining different AOPs to enhance the treatment efficiency are described. Furthermore, the applications of AOPs in various wastewater treatments, such as oily wastewater, dyeing wastewater, pharmaceutical wastewater, and landfill leachate, are also presented. Finally, we conclude that the main direction in the future of AOPs are the modification of catalysts and the optimization of operating parameters, with the challenges focusing on industrial applications.
随着工业社会的发展,工业制造产生的有机废水已经造成了许多环境问题。水体中绝大多数有机污染物在环境中具有持久性,对人类和动物健康构成威胁。因此,需要高效的高浓度有机废水处理方法。高级氧化工艺(AOPs)在处理有机废水领域受到广泛关注。与其他化学方法相比,AOPs具有氧化效率高、无二次污染的特点。本文全面综述了 AOPs 的作用机制、优点和局限性。此外,还描述了结合不同 AOPs 以提高处理效率的基本原理。进一步地,介绍了 AOPs 在各种废水处理中的应用,如含油废水、印染废水、制药废水和垃圾渗滤液等。最后,我们得出结论,AOPs 的主要发展方向是催化剂的改性和操作参数的优化,未来的挑战集中在工业应用上。