Greenhouse gases emission control in WWTS via potential operational strategies: A critical review

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作者
Kumar, Amit [1 ]
Thanki, Arti [2 ]
Padhiyar, Hirendrasinh [3 ]
Singh, Nitin Kumar [3 ]
Pandey, Siddhartha [4 ]
Yadav, Manish [5 ]
Yu, Zhi-Guo [1 ]
机构
[1] Nanjing University of Information Science and Technology, School of Hydrology and Water Resources, Nanjing,210044, China
[2] Marwadi University, Rajkot, India
[3] Department of Environmental Science and Engineering, Marwadi Education Foundation Group of Institutions, Rajkot, India
[4] Department of Civil Engineering, GH Raisoni University, Amravati,Maharashtra,444701, India
[5] Central Mine Planning and Design Institute, India
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Greenhouse gases (GHGs; particularly, CO2, CH4, and N2O) emission from wastewater treatment systems (WWTS) is one of the inevitable concerns for sustainable development. This indicator is directly linked with the carbon footprint and potential impacts of WWTS on climate change. In this view, various modeling, design, and operational tools have been introduced to mitigate the WWTS associated GHGs, at regional and global scales. In this study, authors have critically reviewed the selected potential operational control strategies for GHGs emission, particularly emitted from the operational stages of biological WWTS. The investigated operational control strategies and/or treatment configurations included intermittent aeration, varying dissolved oxygen, enhanced sludge retention time, coupled aerobic–anoxic nitrous decomposition operation, and microalgae integrated treatment process. Based on this analysis and considering the trade-off between treatment performance of WWTS and GHGs control, an integrated framework is also proposed for existing and upcoming WWTS. The findings of this study and proposed framework will play an instrumental role in mitigating the GHGs at various operational stages of WWTS. Future research works in this direction can lead to a better understanding of investigated operational GHGs emission control strategies in WWTS. © 2021 Elsevier Ltd
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